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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2025.1637850</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical and morphological predictors of metastasis in papillary thyroid microcarcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Varlamov</surname>
<given-names>Andrey</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Elfimova</surname>
<given-names>Alina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Matrosova</surname>
<given-names>Alina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pachuashvili</surname>
<given-names>Nano</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2303472/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dzodzaeva</surname>
<given-names>Ariya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Slashchuk</surname>
<given-names>Konstantin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nikiforovich</surname>
<given-names>Petr</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Beltsevich</surname>
<given-names>Dmitry</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vanushko</surname>
<given-names>Vladimir</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Urusova</surname>
<given-names>Liliya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Fundamental Pathology, Endocrinology Research Centre</institution>, <addr-line>Moscow</addr-line>,&#xa0;<country>Russia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Clinical Morphology and Digital Pathology, I.M. Sechenov First Moscow State Medical University (Sechenov University)</institution>, <addr-line>Moscow</addr-line>,&#xa0;<country>Russia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1198552/overview">Erivelto Martinho Volpi</ext-link>, Hospital Alem&#xe3;o Oswaldo Cruz, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/680162/overview">Ke Lv</ext-link>, Peking Union Medical College Hospital (CAMS), China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3046492/overview">Atsumi Tamura</ext-link>, Endocrinology Section Cancer Innovation Laboratory Center for Cancer Research National Cancer Institute, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Nano Pachuashvili, <email xlink:href="mailto:npachuashvili@bk.ru">npachuashvili@bk.ru</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1637850</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Varlamov, Elfimova, Matrosova, Pachuashvili, Dzodzaeva, Slashchuk, Nikiforovich, Beltsevich, Vanushko and Urusova.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Varlamov, Elfimova, Matrosova, Pachuashvili, Dzodzaeva, Slashchuk, Nikiforovich, Beltsevich, Vanushko and Urusova</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Papillary thyroid microcarcinomas (PTMCs), defined as papillary thyroid carcinomas measuring &#x2264;1 cm, are frequently diagnosed incidentally and are generally associated with favorable outcomes. However, a significant subset of patients develops regional lymph node metastases. This study aimed to identify clinical and morphological features associated with metastatic spread in PTMCs. </p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 100 cases were retrospectively analyzed, including 50 with confirmed lymph node metastases and 50 without. A detailed histological assessment included evaluation of tumor subtype, nuclear features, presence of psammoma bodies, tumor &#x201c;buds,&#x201d; fibrosis, and other parameters. Clinical variables such as age, sex, body mass index, and presence of the BRAF V600E mutation were also considered. </p>
</sec>
<sec>
<title>Results</title>
<p>Logistic regression revealed that younger age, classical histological subtype, tumor &#x201c;budding,&#x201d; and presence of psammoma bodies were independently associated with an increased risk of regional metastases, while concomitant multinodular hyperplasia was negatively associated. </p>
</sec>
<sec>
<title>Discussion</title>
<p>The combination of these features may enhance risk stratification and guide the clinical management of PTMC patients, including decisions on surgical extent and follow-up strategies. Our findings support the relevance of comprehensive histological and clinical evaluation in predicting the metastatic potential of PTMCs. </p>
</sec>
</abstract>
<kwd-group>
<kwd>papillary thyroid microcarcinoma</kwd>
<kwd>lymph node metastasis</kwd>
<kwd>histopathology</kwd>
<kwd>risk factors</kwd>
<kwd>psammoma bodies</kwd>
<kwd>tumor budding</kwd>
</kwd-group>    <contract-sponsor id="cn001">Ministry of Health of the Russian Federation<named-content content-type="fundref-id">10.13039/501100017638</named-content>
</contract-sponsor>
<counts>
<fig-count count="12"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="17"/>
<word-count count="6494"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Thyroid Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Thyroid cancer has been and remains the most common malignant neoplasm of the endocrine system (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Approximately 80% of malignant thyroid tumors are differentiated forms of cancer, the most frequent of which is papillary carcinoma (<xref ref-type="bibr" rid="B1">1</xref>). This histological type accounts for 50% to 80% of all malignant thyroid tumors, according to various data (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). In many countries, recent years have seen an increase in the incidence of thyroid cancer, primarily due to the increased diagnosis of papillary carcinoma (<xref ref-type="bibr" rid="B5">5</xref>). However, this rise in thyroid carcinoma incidence has not been accompanied by an increase in tumor-specific mortality. This fact is mainly due to the more frequent diagnosis of papillary microcarcinomas, incidentally detected either during pathological examination of thyroid tissue removed for non-tumor pathology or during ultrasound examinations performed for reasons unrelated to thyroid pathology (<xref ref-type="bibr" rid="B6">6</xref>). Such tumors account for about 28% of diagnosed papillary thyroid carcinomas (<xref ref-type="bibr" rid="B4">4</xref>). Papillary thyroid microcarcinomas are defined as papillary carcinomas measuring no more than 1 cm, regardless of growth patterns (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Previously, terms such as &#x201c;occult papillary carcinoma,&#x201d; &#x201c;latent papillary carcinoma,&#x201d; &#x201c;small papillary carcinoma,&#x201d; &#x201c;nonencapsulated thyroid tumor,&#x201d; and &#x201c;occult sclerosing carcinoma&#x201d; were used for these tumors (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). According to various sources, papillary thyroid microcarcinomas, which are clinically silent, may be found in 4&#x2013;35.6% of cases during total histological examination of thyroid glands (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). The frequency of their incidental discovery in thyroid glands operated on for other diseases is directly proportional to the thoroughness of the histological examination (<xref ref-type="bibr" rid="B12">12</xref>). Researchers agree that the prognosis for patients operated on for papillary thyroid microcarcinomas is very good, with high recurrence-free and tumor-specific survival rates (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). Nevertheless, data from several studies indicate that the frequency of regional lymph node metastases in papillary thyroid microcarcinomas ranges from 17.1% to 49% (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). It is known that a higher risk of metastasis is observed in tall cell, diffuse sclerosing, solid/trabecular, columnar cell, and hobnail subtypes of papillary carcinoma (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). Additionally, regional metastases are more frequently detected in pediatric patients (<xref ref-type="bibr" rid="B22">22</xref>). A higher risk of lymph node metastasis is also characteristic of patients with tumor invasion into lymphatic vessel lumens (<xref ref-type="bibr" rid="B23">23</xref>) and those with the <italic>BRAF V600E</italic> mutation in tumor tissue (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). However, in practical work, situations often arise where metastatic involvement of regional lymph nodes is detected in patients who do not belong to known risk groups. Thus, identifying predictors of regional metastasis will allow for future optimization of clinical management protocols for such patients, refinement of the diagnostic criteria for papillary thyroid microcarcinoma, and consideration of reclassifying a portion of these tumors from malignant to neoplasms with limited malignant potential. This, in turn, would justify the implementation of active surveillance strategies and the incorporation of such an approach into clinical algorithms and guidelines.</p>
<p>The aim of the present study was to identify clinical and morphological predictors of regional metastasis in papillary thyroid microcarcinomas.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patients and samples</title>
<p>The study was conducted on surgical material from 100 patients aged 24 to 72 years (Me = 46 [34;61] years) operated on at the Endocrinology Research Centre (Moscow, Russia), for thyroid diseases between January 1, 2022, and September 1, 2023, with morphologically verified papillary thyroid carcinomas measuring &#x2264;1 cm in greatest dimension (median = 0.7 cm; Q1 = 0.5 cm; Q3 = 0.9 cm). Exclusion criteria included age younger than 19 years and multifocal tumor growth. The study group comprised 50 patients with histologically verified synchronous metastases in regional lymph nodes (11 men, 39 women, aged 24 to 65 years). Among them, 45 patients had metastases only in the central compartment lymph nodes (pN1a according to TNM 8), and 5 patients had metastases in both the central and lateral compartments (pN1b according to TNM 8). The control group consisted of 50 patients without clinical or morphological evidence of metastatic involvement of regional lymph nodes, aged 25 to 72 years, including 8 men and 42 women. For the control group, there was also no evidence of regional metastasis development within 183 days after surgery.</p>
<p>Prophylactic lymph node dissection was performed only in patients presenting with clinical signs of lymph node involvement. In cases where the tumor was localized in one lobe of the thyroid gland and regional lymph node metastases were suspected in the central compartment (level VI), ipsilateral central lymph node dissection was carried out. Involvement of lateral neck lymph nodes was observed in four patients, who subsequently underwent lymphadenectomy of levels II to V; one patient underwent dissection of level III lymph nodes only.</p>
<p>In our study, none of the four patients with tumors located in the thyroid isthmus showed clinical evidence of regional lymph node involvement; therefore, intentional lymph node dissection was not performed. Nevertheless, in three of these patients, between two and four level VI lymph nodes, which were intimately adjacent to the isthmus, were unintentionally removed. In two of them, metastatic involvement of one lymph node was identified.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Morphological examination</title>
<p>The surgical material was fixed in 10% neutral buffered formalin (pH 7.4) for 18&#x2013;20 hours, followed by sectioning, processing in a vacuum histoprocessor using a standard protocol, and embedding in paraffin blocks. For histological preparations, sections 3&#x2013;4 &#xb5;m thick were made. Then the slides were stained with hematoxylin and eosin according to the standard procedure.</p>
<p>The groups were compared based on a number of tumor morphological features. The following were evaluated: the largest tumor node (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) and metastatic focus size (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), the histological subtype of papillary carcinoma according to the WHO classification (<xref ref-type="bibr" rid="B26">26</xref>), the presence of tall cell (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), Warthin-like, and squamous cell components in the tumor, foci of calcification and ossification in the tumor, a lymphocytic rim around the tumor node in the thyroid lobe tissue, apical vacuoles in tumor complexes, psammoma bodies in the tumor tissue (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) and in the thyroid tissue outside the tumor, the presence of a tumor capsule or its fragments, tumor &#x201c;buds&#x201d; (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>), invasion of adipose tissue, perineural invasion, concomitant nodular thyroid diseases (tumor and non-tumor), and thyroiditis. Additionally, the following nuclear features of tumor cells were noted: angular contours, nuclear grooves, and intranuclear pseudoinclusions (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Nucleoli in tumor cell nuclei were assessed using criteria partly adopted from the modified WHO/ISUP classification by S.A. Fuhrman for grading renal cell carcinomas (<xref ref-type="bibr" rid="B27">27</xref>), namely: the presence of nucleoli basophilic, visible but not prominent at &#xd7;100, or nucleoli conspicuous at &#xd7;100, basophilic, or nucleoli conspicuous at &#xd7;100, eosinophilic at &#xd7;400. Furthermore, the number of mitotic figures per 2 mm&#xb2; of tumor tissue in &#x201c;hot spots&#x201d; and the presence of atypical mitotic figures were assessed. The degree of tumor fibrosis was visually graded as 0 (no fibrosis), 1 (fibrosis in less than 50% of the tumor node), or 2 (fibrosis in 50% or more of the tumor node) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). A tumor &#x201c;bud&#x201d; was defined as a tumor complex no larger than 0.1 cm in diameter, located no more than 0.1 cm far from the tumor node, with one or more non-neoplastic thyroid follicles between them, which could not be reliably differentiated during routine histological examination between a tumor embolus in a vessel lumen (blood or lymphatic), an additional independent microfocus of tumor growth, or a tangential section of a tumor invasion area into adjacent thyroid tissue.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Histological image of papillary thyroid microcarcinoma. The tumor node is represented by papillary and follicular structures formed by cells with papillary nuclear features. Hematoxylin&#x2013;eosin, &#x445;20.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g001.tif">
<alt-text content-type="machine-generated">Microscopic image of tissue showing a dense circular nodule in the center, stained in shades of purple and pink. Surrounding areas have fibrous structures with various cell shapes and sizes. Scale bar indicates a length of 1 millimeter.</alt-text>
</graphic>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Histological images of metastases in regional lymph nodes of papillary thyroid microcarcinoma. Most of the lymph node tissue is replaced by a tumor. Hematoxylin&#x2013;eosin, &#x445;30.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g002.tif">
<alt-text content-type="machine-generated">Histological slide showing a large microcystic lymphatic malformation with a varied cellular architecture. Pink and purple staining highlights different tissue structures. Scale bar indicates one millimeter.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Histological images of papillary thyroid microcarcinoma, tall cell subtype. The tumor is composed of complex papillary and elongated trabecular formations that have a &#xab;tram-track&#xbb; appearance. They are lined by crowded cells that have a height-to-width ratio of &#x2265; 3:1. Hematoxylin&#x2013;eosin, &#x445;100.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g003.tif">
<alt-text content-type="machine-generated">Microscopic image showing a close-up of glandular tissue, likely from a biological specimen. The tissue displays a complex arrangement of tightly packed cells with visible nuclei, stained in shades of purple and pink.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Histological images of psammoma bodies in tumor of papillary thyroid microcarcinoma (black arrows). Hematoxylin&#x2013;eosin, &#x445;100.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g004.tif">
<alt-text content-type="machine-generated">Microscopic image shows dense clusters of dark purple cells, irregularly shaped and tightly packed. Light pink tissue surrounds them, with black arrows indicating certain cell areas. Scale bar reads fifty micrometers.</alt-text>
</graphic>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Histological images of tumor &#x201c;bud&#x201d; of papillary thyroid microcarcinoma (black arrow). A tumor &#x201c;bud&#x201d; was defined as a tumor complex no larger than 0.1 cm in diameter, located no more than 0.1 cm far from the tumor node. Hematoxylin&#x2013;eosin, &#x445;100.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g005.tif">
<alt-text content-type="machine-generated">Microscopic image of kidney tissue showing a cluster of dark-stained cells surrounded by lighter pink areas, indicative of a cross-section. A black arrow points to a specific dense region, highlighting an area of interest.</alt-text>
</graphic>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Histological images of tumor nuclear features: <bold>(A)</bold> angular contours, <bold>(B)</bold> intranuclear pseudoinclusions, <bold>(C)</bold> nuclear grooves. Hematoxylin&#x2013;eosin, &#x445;600.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g006.tif">
<alt-text content-type="machine-generated">Microscopic images labeled A, B, and C display tissue samples stained with hematoxylin and eosin. The purple and pink hues highlight cellular structures and extracellular components, with a 20 micrometer scale bar in each image.</alt-text>
</graphic>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Histological images of papillary thyroid microcarcinoma with fibrosis in 50% or more of the tumor node. Hematoxylin&#x2013;eosin, &#x445;20.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g007.tif">
<alt-text content-type="machine-generated">Histological image showing a cross-section of tissue with varying cellular densities. A central pale area is surrounded by darker-stained, microscopic structures. Pink and purple hues dominate, indicating contrasting tissue components.</alt-text>
</graphic>
</fig>
<p>Scanning of histological slides was performed using a Leica Aperio AT2 histoscanner (Leica Biosystems) at &#xd7;200 magnification. Measurements of tumor &#x201c;bud&#x201d; size and their distance from the main tumor node were performed on scanned histological slides using the built-in measurement tool in Aperio eSlide Manager software (version 12.4.3.5008, Leica Biosystems). Histological slides and their digital scans were independently evaluated by three specialists from the Department of Fundamental Pathomorphology of the Endocrinology Research Center (Moscow, Russia). No significant discrepancies in the interpretation of the observed changes were noted; in rare cases involving specific items, decisions were made collectively. No patients were excluded from the study due to a lack of consensus among the experts. The groups were also compared based on the presence of the <italic>BRAF V600E</italic> mutation in tumor tissue, sex, age, and body mass index (BMI) of the patients. BMI was calculated using the standard formula as the ratio of the patient&#x2019;s weight (in kilograms) to the square of their height (in meters). The <italic>BRAF V600E</italic> mutation was determined by Real-Time PCR using the &#x201c;Test-BRAF-tissue-24&#x201d; system (TestGen). The study was performed in 97 out of 100 cases&#x2014;material from 1 patient in the group without lymph node involvement and 2 patients in the group with lymph node metastases was excluded from the analysis due to severe calcification and &#x201c;harsh&#x201d; decalcification of the material. The main characteristics of the overall patient group are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the patient group (n=100).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="center">Feature</th>
<th valign="middle" align="center">Total (n=100) Me [Q<sub>1</sub>; Q<sub>3</sub>]/n (%)</th>
<th valign="middle" align="center">Men (n=19) Me [Q<sub>1</sub>; Q<sub>3</sub>]/n (%)</th>
<th valign="middle" align="center">Women (n=81) Me [Q<sub>1</sub>; Q<sub>3</sub>]/n (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" colspan="2" align="center">Age, full years</td>
<td valign="middle" align="center">46 [34; 61]</td>
<td valign="middle" align="center">50 [38; 61]</td>
<td valign="middle" align="center">45 [34; 60]</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Largest size of tumor node, cm</td>
<td valign="middle" align="center">0,7 [0.5; 0.9]</td>
<td valign="middle" align="center">0,7 [0.5; 0.9]</td>
<td valign="middle" align="center">0,7 [0.5; 0.9]</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of metastases in regional lymph nodes</td>
<td valign="middle" align="center">50 (50%)</td>
<td valign="middle" align="center">11 (58%)</td>
<td valign="middle" align="center">39 (48%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Largest metastasis, cm</td>
<td valign="middle" align="center">0.3 [0.1; 0.4]</td>
<td valign="middle" align="center">0.4 [0.2; 0.9]</td>
<td valign="middle" align="center">0.3 [0.1; 0.4]</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">BMI, kg/m&#xb2;</td>
<td valign="middle" align="center">26 [22; 30]</td>
<td valign="middle" align="center">28 [26; 31]</td>
<td valign="middle" align="center">26 [22; 30]</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Type of surgery</td>
<td valign="middle" align="center">Hemithyroidectomy</td>
<td valign="middle" align="center">73 (73%)</td>
<td valign="middle" align="center">11 (58%)</td>
<td valign="middle" align="center">62 (77%)</td>
</tr>
<tr>
<td valign="middle" align="center">Thyroidectomy</td>
<td valign="middle" align="center">23 (23%)</td>
<td valign="middle" align="center">7 (37%)</td>
<td valign="middle" align="center">16 (20%)</td>
</tr>
<tr>
<td valign="middle" align="center">Isthmusectomy</td>
<td valign="middle" align="center">4 (4%)</td>
<td valign="middle" align="center">1 (5%)</td>
<td valign="middle" align="center">3 (4%)</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="center">Histological subtype of tumor</td>
<td valign="middle" align="center">Classic</td>
<td valign="middle" align="center">65 (65%)</td>
<td valign="middle" align="center">9 (47%)</td>
<td valign="middle" align="center">56 (69%)</td>
</tr>
<tr>
<td valign="middle" align="center">Infiltrative follicular</td>
<td valign="middle" align="center">13 (13%)</td>
<td valign="middle" align="center">3 (16%)</td>
<td valign="middle" align="center">10 (12%)</td>
</tr>
<tr>
<td valign="middle" align="center">Tall cell</td>
<td valign="middle" align="center">10 (10%)</td>
<td valign="middle" align="center">3 (16%)</td>
<td valign="middle" align="center">7 (9%)</td>
</tr>
<tr>
<td valign="middle" align="center">Encapsulated classic</td>
<td valign="middle" align="center">7 (7%)</td>
<td valign="middle" align="center">2 (11%)</td>
<td valign="middle" align="center">5 (6%)</td>
</tr>
<tr>
<td valign="middle" align="center">Invasive encapsulated follicular</td>
<td valign="middle" align="center">3 (3%)</td>
<td valign="middle" align="center">2 (11%)</td>
<td valign="middle" align="center">1 (1%)</td>
</tr>
<tr>
<td valign="middle" align="center">Warthin-like</td>
<td valign="middle" align="center">2 (2%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">2 (2%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of Warthin-like component</td>
<td valign="middle" align="center">3 (3%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">3 (4%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of tall cell component</td>
<td valign="middle" align="center">41 (41%)</td>
<td valign="middle" align="center">6 (32%)</td>
<td valign="middle" align="center">35 (43%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of squamous cell component</td>
<td valign="middle" align="center">5 (5%)</td>
<td valign="middle" align="center">1 (5%)</td>
<td valign="middle" align="center">4 (5%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nucleoli basophilic, visible but not prominent at &#xd7;100</td>
<td valign="middle" align="center">84 (84%)</td>
<td valign="middle" align="center">15 (79%)</td>
<td valign="middle" align="center">69 (85%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nucleoli conspicuous at &#xd7;100, basophilic</td>
<td valign="middle" align="center">11 (11%)</td>
<td valign="middle" align="center">2 (11%)</td>
<td valign="middle" align="center">9 (11%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nucleoli conspicuous at &#xd7;100, eosinophilic at &#xd7;400</td>
<td valign="middle" align="center">18 (18%)</td>
<td valign="middle" align="center">3 (16%)</td>
<td valign="middle" align="center">15 (19%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Angular nuclei</td>
<td valign="middle" align="center">54 (54%)</td>
<td valign="middle" align="center">9 (47%)</td>
<td valign="middle" align="center">45 (56%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nuclear grooves</td>
<td valign="middle" align="center">73 (73%)</td>
<td valign="middle" align="center">13 (68%)</td>
<td valign="middle" align="center">60 (74%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Intranuclear inclusions</td>
<td valign="middle" align="center">33 (33%)</td>
<td valign="middle" align="center">6 (32%)</td>
<td valign="middle" align="center">27 (33%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Lymphocytic rim around tumor</td>
<td valign="middle" align="center">10 (10%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">10 (12%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Apical vacuoles in tumor complexes</td>
<td valign="middle" align="center">62 (62%)</td>
<td valign="middle" align="center">11 (58%)</td>
<td valign="middle" align="center">51 (63%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of tumor &#x201c;buds&#x201d;</td>
<td valign="middle" align="center">48 (48%)</td>
<td valign="middle" align="center">7 (37%)</td>
<td valign="middle" align="center">41 (51%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Psammoma bodies in tumor</td>
<td valign="middle" align="center">41 (41%)</td>
<td valign="middle" align="center">8 (42%)</td>
<td valign="middle" align="center">33 (41%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Psammoma bodies outside tumor</td>
<td valign="middle" align="center">21 (21%)</td>
<td valign="middle" align="center">4 (21%)</td>
<td valign="middle" align="center">17 (21%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Tumor calcification</td>
<td valign="middle" align="center">25 (25%)</td>
<td valign="middle" align="center">5 (26%)</td>
<td valign="middle" align="center">20 (25%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Tumor ossification</td>
<td valign="middle" align="center">5 (5%)</td>
<td valign="middle" align="center">1 (5%)</td>
<td valign="middle" align="center">4 (5%)</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Degree of tumor fibrosis</td>
<td valign="middle" align="center">0 (No)</td>
<td valign="middle" align="center">11 (11%)</td>
<td valign="middle" align="center">3 (16%)</td>
<td valign="middle" align="center">8 (10%)</td>
</tr>
<tr>
<td valign="middle" align="center">1 (&lt;50%)</td>
<td valign="middle" align="center">74 (74%)</td>
<td valign="middle" align="center">13 (68%)</td>
<td valign="middle" align="center">61 (75%)</td>
</tr>
<tr>
<td valign="middle" align="center">2 (&#x2265;50%)</td>
<td valign="middle" align="center">15 (15%)</td>
<td valign="middle" align="center">3 (16%)</td>
<td valign="middle" align="center">12 (15%)</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="center">Number of mitotic figures per 2 mm&#xb2; in &#x201c;hot spots&#x201d;</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">50 (50%)</td>
<td valign="middle" align="center">6 (32%)</td>
<td valign="middle" align="center">44 (54%)</td>
</tr>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">28 (28%)</td>
<td valign="middle" align="center">7 (37%)</td>
<td valign="middle" align="center">21 (26%)</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">14 (14%)</td>
<td valign="middle" align="center">2 (11%)</td>
<td valign="middle" align="center">12 (15%)</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">7 (7%)</td>
<td valign="middle" align="center">4 (21%)</td>
<td valign="middle" align="center">3 (4%)</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1 (1%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">1 (1%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Atypical mitotic figures</td>
<td valign="middle" align="center">7 (7%)</td>
<td valign="middle" align="center">3 (16%)</td>
<td valign="middle" align="center">4 (5%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant oncocytic adenoma</td>
<td valign="middle" align="center">4 (4%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">4 (5%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant follicular adenoma</td>
<td valign="middle" align="center">2 (2%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">2 (2%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant FT-UMP</td>
<td valign="middle" align="center">2 (2%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">2 (2%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant WDT-UMP</td>
<td valign="middle" align="center">1 (1%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">1 (1%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant lymphocytic thyroiditis</td>
<td valign="middle" align="center">43 (43%)</td>
<td valign="middle" align="center">1 (5%)</td>
<td valign="middle" align="center">42 (52%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant multinodular hyperplasia</td>
<td valign="middle" align="center">30 (30%)</td>
<td valign="middle" align="center">7 (37%)</td>
<td valign="middle" align="center">23 (28%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Perineural invasion</td>
<td valign="middle" align="center">3 (3%)</td>
<td valign="middle" align="center">1 (5%)</td>
<td valign="middle" align="center">2 (2%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Adipose tissue invasion</td>
<td valign="middle" align="center">17 (17%)</td>
<td valign="middle" align="center">4 (21%)</td>
<td valign="middle" align="center">13 (16%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of tumor capsule elements</td>
<td valign="middle" align="center">54 (54%)</td>
<td valign="middle" align="center">11 (58%)</td>
<td valign="middle" align="center">43 (53%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">
<italic>BRAF V600E</italic> mutation</td>
<td valign="middle" align="center">65 (67%)</td>
<td valign="middle" align="center">11 (61%)</td>
<td valign="middle" align="center">54 (68%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using the Python 3.11 programming language. Descriptive statistics for quantitative features are presented as medians, first and third quartiles in the format Me [Q1; Q3], and categorical features as absolute and relative frequencies in the format n (%). Comparative analysis of two independent groups for quantitative features was performed using the Mann-Whitney U test, and for categorical features using the two-sided Fisher&#x2019;s exact test (FET2). The critical level of statistical significance was set at 0.05. For multiple comparisons, the Benjamini-Hochberg correction (p0) was applied. Cutoff points for individual parameters were determined using ROC analysis. For cutoff points, odds ratios (OR) with 95% confidence intervals (CI) were calculated. To identify a combination of factors statistically significantly associated with the presence of metastases, logistic regression analysis was performed.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>A comparative analysis of patients with and without metastases in regional lymph nodes is presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Comparative analysis of patients with and without lymph node metastases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" colspan="3" align="center">Feature</th>
<th valign="middle" align="center">Metastases present (n=50)</th>
<th valign="middle" align="center">Metastases absent (n=50)</th>
<th valign="middle" rowspan="2" align="center">p</th>
<th valign="middle" rowspan="2" align="center">p<sub>0</sub>
</th>
</tr>
<tr>
<th valign="middle" align="center">Me [Q<sub>1</sub>; Q<sub>3</sub>]/n (%)</th>
<th valign="middle" align="center">Me [Q<sub>1</sub>; Q<sub>3</sub>]/n (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" colspan="2" align="center">Sex</td>
<td valign="middle" align="center">Men</td>
<td valign="middle" align="center">11 (22%)</td>
<td valign="middle" align="center">8 (16%)</td>
<td valign="middle" rowspan="2" align="center">0.611<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" rowspan="2" align="center">0.028</td>
</tr>
<tr>
<td valign="middle" align="center">Women</td>
<td valign="middle" align="center">39 (78%)</td>
<td valign="middle" align="center">42 (84%)</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Age, full years</td>
<td valign="middle" align="center">36 [32; 47]</td>
<td valign="middle" align="center">59 [44; 64]</td>
<td valign="middle" align="center">&lt;0.001<xref ref-type="table-fn" rid="fnT2_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0.003</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Largest size of tumor node, cm</td>
<td valign="middle" align="center">0.8 [0.5; 1.0]</td>
<td valign="middle" align="center">0.6 [0.4; 0.8]</td>
<td valign="middle" align="center">0.007<xref ref-type="table-fn" rid="fnT2_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0.008</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">BMI, kg/m&#xb2;</td>
<td valign="middle" align="center">24 [20; 29]</td>
<td valign="middle" align="center">27 [24; 31]</td>
<td valign="middle" align="center">0.007<xref ref-type="table-fn" rid="fnT2_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0.009</bold>
</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="center">Histological subtype of tumor</td>
<td valign="middle" colspan="2" align="center">Classic</td>
<td valign="middle" align="center">40 (80%)</td>
<td valign="middle" align="center">25 (50%)</td>
<td valign="middle" align="center">0.003<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0.005</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Infiltrative follicular</td>
<td valign="middle" align="center">2 (4%)</td>
<td valign="middle" align="center">11 (22%)</td>
<td valign="middle" align="center">0.015<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.012</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Tall cell</td>
<td valign="middle" align="center">6 (12%)</td>
<td valign="middle" align="center">4 (8%)</td>
<td valign="middle" align="center">0.525<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.024</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Encapsulated classic</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">6 (12%)</td>
<td valign="middle" align="center">0.112<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.015</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Invasive encapsulated follicular</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">3 (6%)</td>
<td valign="middle" align="center">0.242<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.018</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Warthin-like</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.040</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Presence of Warthin-like component</td>
<td valign="middle" align="center">2 (4%)</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.047</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Presence of tall cell component</td>
<td valign="middle" align="center">25 (50%)</td>
<td valign="middle" align="center">16 (32%)</td>
<td valign="middle" align="center">0.103<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.014</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Presence of squamous cell component</td>
<td valign="middle" align="center">2 (4%)</td>
<td valign="middle" align="center">3 (6%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.045</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Nucleoli basophilic, visible but not prominent at &#xd7;100</td>
<td valign="middle" align="center">43 (86%)</td>
<td valign="middle" align="center">41 (82%)</td>
<td valign="middle" align="center">0.786<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.035</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Nucleoli conspicuous at &#xd7;100, basophilic</td>
<td valign="middle" align="center">4 (8%)</td>
<td valign="middle" align="center">7 (14%)</td>
<td valign="middle" align="center">0.525<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.023</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Nucleoli conspicuous at &#xd7;100, eosinophilic at &#xd7;400</td>
<td valign="middle" align="center">10 (20%)</td>
<td valign="middle" align="center">8 (16%)</td>
<td valign="middle" align="center">0.795<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.036</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Angular nuclei</td>
<td valign="middle" align="center">29 (58%)</td>
<td valign="middle" align="center">25 (50%)</td>
<td valign="middle" align="center">0.547<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.026</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Nuclear grooves</td>
<td valign="middle" align="center">35 (70%)</td>
<td valign="middle" align="center">38 (76%)</td>
<td valign="middle" align="center">0.653<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.032</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Intranuclear inclusions</td>
<td valign="middle" align="center">14 (28%)</td>
<td valign="middle" align="center">19 (38%)</td>
<td valign="middle" align="center">0.395<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.021</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Lymphocytic rim around tumor</td>
<td valign="middle" align="center">4 (8%)</td>
<td valign="middle" align="center">6 (12%)</td>
<td valign="middle" align="center">0.741<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.033</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Apical vacuoles in tumor complexes</td>
<td valign="middle" align="center">32 (64%)</td>
<td valign="middle" align="center">30 (60%)</td>
<td valign="middle" align="center">0.837<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.038</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Presence of tumor &#x201c;buds&#x201d;</td>
<td valign="middle" align="center">35 (70%)</td>
<td valign="middle" align="center">13 (26%)</td>
<td valign="middle" align="center">
<bold>&lt;0.001</bold>
<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Psammoma bodies in tumor</td>
<td valign="middle" align="center">30 (60%)</td>
<td valign="middle" align="center">11 (22%)</td>
<td valign="middle" align="center">
<bold>&lt;0.001</bold>
<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0.004</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Psammoma bodies outside tumor</td>
<td valign="middle" align="center">15 (30%)</td>
<td valign="middle" align="center">6 (12%)</td>
<td valign="middle" align="center">0.048<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.013</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Tumor calcification</td>
<td valign="middle" align="center">11 (22%)</td>
<td valign="middle" align="center">14 (28%)</td>
<td valign="middle" align="center">0.645<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.031</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Tumor ossification</td>
<td valign="middle" align="center">2 (4%)</td>
<td valign="middle" align="center">3 (6%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.046</td>
</tr>
<tr>
<td valign="middle" rowspan="3" colspan="2" align="center">Degree of tumor fibrosis</td>
<td valign="middle" align="center">0 (No)</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">10 (20%)</td>
<td valign="middle" rowspan="3" align="center">0.011<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" rowspan="3" align="center">0.010</td>
</tr>
<tr>
<td valign="middle" align="center">1 (&lt;50%)</td>
<td valign="middle" align="center">42 (84%)</td>
<td valign="middle" align="center">32 (64%)</td>
</tr>
<tr>
<td valign="middle" align="center">2 (&#x2265;50%)</td>
<td valign="middle" align="center">7 (14%)</td>
<td valign="middle" align="center">8 (16%)</td>
</tr>
<tr>
<td valign="middle" rowspan="5" colspan="2" align="center">Number of mitotic figures per 2 mm&#xb2; in &#x201c;hot spots&#x201d;</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">27 (54%)</td>
<td valign="middle" align="center">23 (46%)</td>
<td valign="middle" rowspan="5" align="center">0.812<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" rowspan="5" align="center">0.037</td>
</tr>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">12 (24%)</td>
<td valign="middle" align="center">16 (32%)</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">7 (14%)</td>
<td valign="middle" align="center">7 (14%)</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3 (6%)</td>
<td valign="middle" align="center">4 (8%)</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Atypical mitotic figures</td>
<td valign="middle" align="center">3 (6%)</td>
<td valign="middle" align="center">4 (8%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.041</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Concomitant oncocytic adenoma</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">3 (6%)</td>
<td valign="middle" align="center">0.617<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.029</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Concomitant follicular adenoma</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.042</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Concomitant FT-UMP</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.049</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Concomitant WDT-UMP</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.044</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Concomitant lymphocytic thyroiditis</td>
<td valign="middle" align="center">24 (48%)</td>
<td valign="middle" align="center">19 (38%)</td>
<td valign="middle" align="center">0.419<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.022</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Concomitant multinodular hyperplasia</td>
<td valign="middle" align="center">8 (16%)</td>
<td valign="middle" align="center">22 (44%)</td>
<td valign="middle" align="center">
<bold>0.004</bold>
<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0.006</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Perineural invasion</td>
<td valign="middle" align="center">2 (4%)</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.050</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Adipose tissue invasion</td>
<td valign="middle" align="center">10 (20%)</td>
<td valign="middle" align="center">7 (14%)</td>
<td valign="middle" align="center">0.595<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.027</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">Presence of tumor capsule elements</td>
<td valign="middle" align="center">23 (46%)</td>
<td valign="middle" align="center">31 (62%)</td>
<td valign="middle" align="center">0.160<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.017</td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center">
<italic>BRAF V600E</italic> mutation</td>
<td valign="middle" align="center">34 &#x438;&#x437; 47 (72%)</td>
<td valign="middle" align="center">31 (62%)</td>
<td valign="middle" align="center">0.291<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.019</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<label>a</label>
<p>FET2.</p>
</fn>
<fn id="fnT2_2">
<label>b</label>
<p>U-test.</p>
<p>Bold values means statistically reliable.</p>
</fn></table-wrap-foot>
</table-wrap>
<p>The comparative analysis revealed that patients with metastases were younger (p&lt;0.001; p<sub>0</sub> = 0.003), had a lower BMI (p=0.007; p<sub>0</sub> = 0.009), and a larger tumor node size (p=0.007; p<sub>0</sub> = 0.008). The classic subtype of carcinoma (p=0.003; p<sub>0</sub> = 0.005), psammoma bodies in tumor tissue (p&lt;0.001; p<sub>0</sub> = 0.004), and tumor &#x201c;buds&#x201d; (p&lt;0.001; p<sub>0</sub> = 0.001) were more frequently identified in these patients. No metastases were found in patients with tumor node sizes &lt;0.3 cm. Concomitant multinodular hyperplasia was less common in patients with metastases compared to those without (p=0.004; p<sub>0</sub> = 0.006). Patients with metastases also showed a statistical trend toward more pronounced tumor fibrosis (p=0.011; p<sub>0</sub> = 0.010) and more frequent detection of psammoma bodies in thyroid tissue outside the tumor (p=0.048; p<sub>0</sub> = 0.013). In patients without metastases, a statistical trend toward more frequent detection of the infiltrative follicular tumor subtype was observed (p=0.015; p<sub>0</sub> = 0.012).</p>
<p>Next, odds ratios (OR) were calculated for features that showed statistically significant differences. The classification matrix for patients with and without metastases based on these features is presented in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Classification matrix for patients with and without metastases based on features showing statistically significant differences.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Feature</th>
<th valign="middle" align="center">Metastases present (n=50)</th>
<th valign="middle" align="center">Metastases absent (n=50)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Age &lt; 52 &#x43b;&#x435;&#x442;</td>
<td valign="middle" align="center">42</td>
<td valign="middle" align="center">16</td>
</tr>
<tr>
<td valign="middle" align="center">Age &#x2265; 52 &#x43b;&#x435;&#x442;</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">34</td>
</tr>
<tr>
<td valign="middle" align="center">Largest size of tumor node &#x2265; 0.7 &#x441;&#x43c;</td>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">23</td>
</tr>
<tr>
<td valign="middle" align="center">Largest size of tumor node &lt; 0.7 &#x441;&#x43c;</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">27</td>
</tr>
<tr>
<td valign="middle" align="center">BMI &lt; 22.9 kg/m&#xb2;</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">BMI &#x2265; 22.9 kg/m&#xb2;</td>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">44</td>
</tr>
<tr>
<td valign="middle" align="center">Classic histological subtype</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">25</td>
</tr>
<tr>
<td valign="middle" align="center">Non-classic histological subtype</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">25</td>
</tr>
<tr>
<td valign="middle" align="center">Tumor &#x201c;buds&#x201d; present</td>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">13</td>
</tr>
<tr>
<td valign="middle" align="center">Tumor &#x201c;buds&#x201d; absent</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">37</td>
</tr>
<tr>
<td valign="middle" align="center">Psammoma bodies in tumor present</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="center">Psammoma bodies in tumor absent</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">39</td>
</tr>
<tr>
<td valign="middle" align="center">Concomitant multinodular hyperplasia present</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">22</td>
</tr>
<tr>
<td valign="middle" align="center">Concomitant multinodular<break/>hyperplasia absent</td>
<td valign="middle" align="center">42</td>
<td valign="middle" align="center">28</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>For quantitative features, ROC analysis was preliminarily performed (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f12">
<bold>12</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>ROC analysis for quantitative features.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Parameters</th>
<th valign="middle" align="center">Age, full years</th>
<th valign="middle" align="center">Largest size of tumor node, cm</th>
<th valign="middle" align="center">BMI, kg/m&#xb2;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">AUC</td>
<td valign="middle" align="center">0.813</td>
<td valign="middle" align="center">0.656</td>
<td valign="middle" align="center">0.656</td>
</tr>
<tr>
<td valign="middle" align="center">95% CI (AUC)</td>
<td valign="middle" align="center">0.728-0.898</td>
<td valign="middle" align="center">0.548-0.762</td>
<td valign="middle" align="center">0.549-0.763</td>
</tr>
<tr>
<td valign="middle" align="center">Cutoff point<break/>(Youden index)</td>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">0.7</td>
<td valign="middle" align="center">22.9</td>
</tr>
<tr>
<td valign="middle" align="center">OR</td>
<td valign="middle" align="center">11.156</td>
<td valign="middle" align="center">2.739</td>
<td valign="middle" align="center">5.310</td>
</tr>
<tr>
<td valign="middle" align="center">95% CI (OR)</td>
<td valign="middle" align="center">4.265-29.184</td>
<td valign="middle" align="center">1.204-6.230</td>
<td valign="middle" align="center">1.913-14.745</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>ROC analysis of age.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g008.tif">
<alt-text content-type="machine-generated">ROC curve showing sensitivity versus one minus specificity. The blue line represents the model performance, with an AUC of 0.813. The red dashed line indicates random performance.</alt-text>
</graphic>
</fig>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>ROC analysis of largest size of tumor node.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g009.tif">
<alt-text content-type="machine-generated">ROC curve graph showing sensitivity versus 1-specificity. The curve deviates from the diagonal baseline, with an area under the curve (AUC) value of 0.656, indicating moderate model performance.</alt-text>
</graphic>
</fig>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>ROC analysis of BMI.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g010.tif">
<alt-text content-type="machine-generated">ROC curve illustrating the trade-off between sensitivity and \(1-\)specificity. The diagonal line represents random chance. The area under the curve (AUC) is 0.656, indicating moderate model performance.</alt-text>
</graphic>
</fig>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>OR, 95% CI for features showing statistically significant differences between patients with and without metastases.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g011.tif">
<alt-text content-type="machine-generated">Forest plot depicting odds ratios and 95% confidence intervals for various factors related to tumor characteristics, including age under fifty-two years, tumor &#x201c;buds,&#x201d; psammoma bodies, BMI under 22.9 kg/m&#xb2;, classic histological subtype, largest tumor node greater than or equal to 0.7 cm, and concomitant multinodular hyperplasia. Red dots represent the odds ratios, and horizontal lines show the confidence intervals, with some extending over a wide range.</alt-text>
</graphic>
</fig>
<fig id="f12" position="float">
<label>Figure&#xa0;12</label>
<caption>
<p>OR, 95% CI for parameters included in the logistic regression model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1637850-g012.tif">
<alt-text content-type="machine-generated">Forest plot showing odds ratios (OR) and 95% confidence intervals for four variables: Tumor &#x201c;buds,&#x201d; Psammoma bodies in tumor, Classic histological subtype, and Age. Tumor &#x201c;buds&#x201d; shows the highest OR, while Age has the lowest, near the line of no effect.</alt-text>
</graphic>
</fig>
<p>Thus, patients younger than 52 years had a 4.3&#x2013;29.2 times higher chance of having metastases compared to older patients. For tumor node sizes &#x2265;0.7 cm, the chance of metastases was 1.2&#x2013;6.2 times higher than for smaller tumors. Patients with a BMI &lt;22.9 kg/m&#xb2; had a 1.9&#x2013;14.7 times higher chance of metastases compared to those with a higher BMI.</p>
<p>Based on the obtained data (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>), patients with the classic tumor subtype had a 1.6&#x2013;9.7 times higher chance of metastases compared to other subtypes. The presence of tumor &#x201c;buds&#x201d; increased the chance of detecting metastases by 2.7&#x2013;15.9 times, and patients with psammoma bodies in tumor tissue had a 2.2&#x2013;12.8 times higher chance of metastases compared to those without. Conversely, patients with concomitant multinodular hyperplasia had a 1.6&#x2013;10.5 times lower chance of metastases compared to those without it.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Odds ratios (OR) for qualitative features.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Parameters</th>
<th valign="middle" align="center">OR</th>
<th valign="middle" align="center">95% CI</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Classic tumor subtype</td>
<td valign="middle" align="center">4.000</td>
<td valign="middle" align="center">1.647-9.715</td>
</tr>
<tr>
<td valign="middle" align="center">Presence of tumor &#x201c;buds&#x201d;</td>
<td valign="middle" align="center">6.641</td>
<td valign="middle" align="center">2.769-15.927</td>
</tr>
<tr>
<td valign="middle" align="center">Presence of psammoma bodies</td>
<td valign="middle" align="center">5.318</td>
<td valign="middle" align="center">2.214-12.774</td>
</tr>
<tr>
<td valign="middle" align="center">Concomitant multinodular hyperplasia</td>
<td valign="middle" align="center">0.242</td>
<td valign="middle" align="center">0.095-0.621</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Next, logistic regression analysis was performed to identify a combination of factors associated with the presence of metastases. All parameters that showed statistical significance in the comparative analysis were analyzed as predictors:</p>
<list list-type="bullet">
<list-item>
<p>Age, years</p>
</list-item>
<list-item>
<p>BMI, kg/m&#xb2;</p>
</list-item>
<list-item>
<p>Largest size of tumor node, cm</p>
</list-item>
<list-item>
<p>Classic tumor subtype (yes/no)</p>
</list-item>
<list-item>
<p>Tumor &#x201c;buds&#x201d; (yes/no)</p>
</list-item>
<list-item>
<p>Psammoma bodies in tumor tissue (yes/no)</p>
</list-item>
<list-item>
<p>Concomitant multinodular hyperplasia (yes/no)</p>
</list-item>
</list>
<p>The response variable was the presence of metastases (yes/no). The results identified a combination of parameters statistically significantly associated with the presence of metastases (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Characteristics of parameters included in the logistic regression model.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Parameters</th>
<th valign="middle" align="center">Beta</th>
<th valign="middle" align="center">OR, 95% CI</th>
<th valign="middle" align="center">&#x440;, Wald test</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Age</td>
<td valign="middle" align="center">-0.103</td>
<td valign="middle" align="center">0.902 (0.859-0.946)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Classic tumor subtype</td>
<td valign="middle" align="center">1.259</td>
<td valign="middle" align="center">3.521 (1.106-11.205)</td>
<td valign="middle" align="center">0.033</td>
</tr>
<tr>
<td valign="middle" align="center">Tumor &#x201c;buds&#x201d;</td>
<td valign="middle" align="center">1.700</td>
<td valign="middle" align="center">5.476 (1.749-17.141)</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="middle" align="center">Psammoma bodies in tumor</td>
<td valign="middle" align="center">1.625</td>
<td valign="middle" align="center">5.079 (1.517-17.004)</td>
<td valign="middle" align="center">0.008</td>
</tr>
<tr>
<td valign="middle" align="center">Constant</td>
<td valign="middle" align="center">2.635</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.020</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Thus, the presence of a classic tumor subtype, tumor &#x201c;buds,&#x201d; and psammoma bodies in tumor tissue increased the chance of metastases by 3.5, 5.5, and 5 times, respectively. Each additional year of age reduced the chance of metastases by 10% of the current value.</p>
<p>A comparative analysis of patients with and without the <italic>BRAF V600E</italic> mutation is presented in <xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Comparative analysis of patients with and without the <italic>BRAF V600E</italic> mutation.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" colspan="2" align="center">Feature</th>
<th valign="middle" align="center">Mut <italic>BRAF V600E</italic> + (n=65)</th>
<th valign="middle" align="center">Mut <italic>BRAF V600E</italic> &#x2013; (n=32)</th>
<th valign="middle" rowspan="2" align="center">p</th>
<th valign="middle" rowspan="2" align="center">p<sub>0</sub>
</th>
</tr>
<tr>
<th valign="middle" align="center">Me [Q<sub>1</sub>; Q<sub>3</sub>]/n (%)</th>
<th valign="middle" align="center">Me [Q<sub>1</sub>; Q<sub>3</sub>]/n (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="center">Sex</td>
<td valign="middle" align="center">Men</td>
<td valign="middle" align="center">11 (17%)</td>
<td valign="middle" align="center">7 (22%)</td>
<td valign="middle" rowspan="2" align="center">0.586<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" rowspan="2" align="center">0.027</td>
</tr>
<tr>
<td valign="middle" align="center">Women</td>
<td valign="middle" align="center">54 (83%)</td>
<td valign="middle" align="center">25 (78%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Age, full years</td>
<td valign="middle" align="center">46 [35; 60]</td>
<td valign="middle" align="center">46 [34; 62]</td>
<td valign="middle" align="center">0.602<xref ref-type="table-fn" rid="fnT7_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">0.029</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Largest size of tumor node, cm</td>
<td valign="middle" align="center">0.70 [0.50; 0.90]</td>
<td valign="middle" align="center">0,65 [0.50; 0.90]</td>
<td valign="middle" align="center">0.804<xref ref-type="table-fn" rid="fnT7_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">0.037</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of metastases in regional lymph nodes</td>
<td valign="middle" align="center">34 (52%)</td>
<td valign="middle" align="center">13 (41%)</td>
<td valign="middle" align="center">0.291<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0,017</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">BMI, kg/m&#xb2;</td>
<td valign="middle" align="center">26 [22; 29]</td>
<td valign="middle" align="center">27 [23; 32]</td>
<td valign="middle" align="center">0.397<xref ref-type="table-fn" rid="fnT7_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">0.022</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="center">Histological subtype of tumor</td>
<td valign="middle" align="center">Classic</td>
<td valign="middle" align="center">42 (65%)</td>
<td valign="middle" align="center">20 (62%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.046</td>
</tr>
<tr>
<td valign="middle" align="center">Infiltrative follicular</td>
<td valign="middle" align="center">6 (9%)</td>
<td valign="middle" align="center">7 (22%)</td>
<td valign="middle" align="center">0.114<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.009</td>
</tr>
<tr>
<td valign="middle" align="center">Tall cell</td>
<td valign="middle" align="center">10 (15%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">0.014<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="middle" align="center">Encapsulated classic</td>
<td valign="middle" align="center">6 (9%)</td>
<td valign="middle" align="center">1 (3%)</td>
<td valign="middle" align="center">0.420<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.023</td>
</tr>
<tr>
<td valign="middle" align="center">Invasive encapsulated follicular</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">3 (9%)</td>
<td valign="middle" align="center">0.034<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.004</td>
</tr>
<tr>
<td valign="middle" align="center">Warthin-like</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1 (3%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.038</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of Warthin-like component</td>
<td valign="middle" align="center">2 (3%)</td>
<td valign="middle" align="center">1 (3%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.045</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of tall cell component</td>
<td valign="middle" align="center">35 (54%)</td>
<td valign="middle" align="center">4 (12%)</td>
<td valign="middle" align="center">
<bold>&lt;0</bold>.<bold>001</bold>
<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">
<bold>0</bold>.<bold>001</bold>
</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of squamous cell component</td>
<td valign="middle" align="center">2 (3%)</td>
<td valign="middle" align="center">3 (9%)</td>
<td valign="middle" align="center">0.328<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.018</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nucleoli basophilic, visible but not prominent at &#xd7;100</td>
<td valign="middle" align="center">58 (89%)</td>
<td valign="middle" align="center">24 (75%)</td>
<td valign="middle" align="center">0.080<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.006</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nucleoli conspicuous at &#xd7;100, basophilic</td>
<td valign="middle" align="center">7 (11%)</td>
<td valign="middle" align="center">3 (9%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.050</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nucleoli conspicuous at &#xd7;100, eosinophilic at &#xd7;400</td>
<td valign="middle" align="center">12 (18%)</td>
<td valign="middle" align="center">6 (19%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.042</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Angular nuclei</td>
<td valign="middle" align="center">38 (58%)</td>
<td valign="middle" align="center">13 (41%)</td>
<td valign="middle" align="center">0.131<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.010</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Nuclear grooves</td>
<td valign="middle" align="center">50 (77%)</td>
<td valign="middle" align="center">23 (72%)</td>
<td valign="middle" align="center">0.622<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.031</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Intranuclear inclusions</td>
<td valign="middle" align="center">22 (34%)</td>
<td valign="middle" align="center">10 (31%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.047</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Lymphocytic rim around tumor</td>
<td valign="middle" align="center">4 (6%)</td>
<td valign="middle" align="center">6 (19%)</td>
<td valign="middle" align="center">0.077<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Apical vacuoles in tumor complexes</td>
<td valign="middle" align="center">43 (66%)</td>
<td valign="middle" align="center">18 (56%)</td>
<td valign="middle" align="center">0.377<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.021</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of tumor &#x201c;buds&#x201d;</td>
<td valign="middle" align="center">35 (54%)</td>
<td valign="middle" align="center">12 (38%)</td>
<td valign="middle" align="center">0.139<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.012</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Psammoma bodies in tumor</td>
<td valign="middle" align="center">28 (43%)</td>
<td valign="middle" align="center">12 (38%)</td>
<td valign="middle" align="center">0.665<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.033</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Psammoma bodies outside tumor</td>
<td valign="middle" align="center">15 (23%)</td>
<td valign="middle" align="center">5 (16%)</td>
<td valign="middle" align="center">0.439<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.026</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Tumor calcification</td>
<td valign="middle" align="center">15 (23%)</td>
<td valign="middle" align="center">8 (25%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.044</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Tumor ossification</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">3 (9%)</td>
<td valign="middle" align="center">0.103<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.008</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Degree of tumor fibrosis</td>
<td valign="middle" align="center">0 (No)</td>
<td valign="middle" align="center">6 (9%)</td>
<td valign="middle" align="center">5 (16%)</td>
<td valign="middle" rowspan="3" align="center">0.154<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" rowspan="3" align="center">0.013</td>
</tr>
<tr>
<td valign="middle" align="center">1 (&#x2265;50%)</td>
<td valign="middle" align="center">52 (80%)</td>
<td valign="middle" align="center">20 (62%)</td>
</tr>
<tr>
<td valign="middle" align="center">2 (&#x2265;50%)</td>
<td valign="middle" align="center">7 (11%)</td>
<td valign="middle" align="center">7 (22%)</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="center">Number of mitotic figures per 2 mm&#xb2; in &#x201c;hot spots&#x201d;</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">32 (49%)</td>
<td valign="middle" align="center">15 (47%)</td>
<td valign="middle" rowspan="5" align="center">0.705<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" rowspan="5" align="center">0.036</td>
</tr>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">19 (29%)</td>
<td valign="middle" align="center">9 (28%)</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">10 (15%)</td>
<td valign="middle" align="center">4 (12%)</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">4 (6%)</td>
<td valign="middle" align="center">3 (9%)</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">1 (3%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Atypical mitotic figures</td>
<td valign="middle" align="center">6 (9%)</td>
<td valign="middle" align="center">1 (3%)</td>
<td valign="middle" align="center">0.420<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.024</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant oncocytic adenoma</td>
<td valign="middle" align="center">2 (3%)</td>
<td valign="middle" align="center">2 (6%)</td>
<td valign="middle" align="center">0.597<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.028</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant follicular adenoma</td>
<td valign="middle" align="center">2 (3%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.041</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant FT-UMP</td>
<td valign="middle" align="center">1 (2%)</td>
<td valign="middle" align="center">1 (3%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.049</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant WDT-UMP</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">1 (3%)</td>
<td valign="middle" align="center">0.330<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.019</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant lymphocytic thyroiditis</td>
<td valign="middle" align="center">27 (42%)</td>
<td valign="middle" align="center">15 (47%)</td>
<td valign="middle" align="center">0.667<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.035</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Concomitant multinodular hyperplasia</td>
<td valign="middle" align="center">16 (25%)</td>
<td valign="middle" align="center">13 (41%)</td>
<td valign="middle" align="center">0.156<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.014</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Perineural invasion</td>
<td valign="middle" align="center">2 (3%)</td>
<td valign="middle" align="center">1 (3%)</td>
<td valign="middle" align="center">1.000<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.040</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Adipose tissue invasion</td>
<td valign="middle" align="center">13 (20%)</td>
<td valign="middle" align="center">3 (9%)</td>
<td valign="middle" align="center">0.250<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.015</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">Presence of tumor capsule elements</td>
<td valign="middle" align="center">37 (57%)</td>
<td valign="middle" align="center">16 (50%)</td>
<td valign="middle" align="center">0.665<xref ref-type="table-fn" rid="fnT7_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">0.032</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT7_1">
<label>a</label>
<p>FET2.</p>
</fn>
<fn id="fnT7_2">
<label>b</label>
<p>U-test.</p>
<p>Bold values means statistically reliable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Analysis of the <italic>BRAF V600E</italic> mutation revealed its presence in 65 out of 97 patients in the overall group (11 men, 54 women). Patients with the <italic>BRAF V600E</italic> mutation had a significantly higher frequency of tall cell tumor components (p&lt;0.001; p<sub>0</sub> = 0.001). There was also a statistical trend toward a higher frequency of the tall cell tumor subtype (p=0.014; p<sub>0</sub> = 0.003) and a lower frequency of the invasive encapsulated follicular subtype (p=0.034; p<sub>0</sub> = 0.004) compared to patients without the mutation.</p>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion and conclusions</title>
<p>Thus, according to the univariate analysis of the overall patient group, an increased risk of synchronous regional lymph node metastases in unifocal papillary thyroid microcarcinoma was observed in patients with the classic tumor subtype, the presence of tumor &#x201c;buds,&#x201d; psammoma bodies in tumor tissue, and the absence of concomitant multinodular hyperplasia. Additionally, risk factors included a tumor node size &#x2265;0.7 cm, BMI &lt;22.9 kg/m&#xb2;, and age &lt;52 years. However, in the multivariate analysis, only the presence of tumor &#x201c;buds,&#x201d; psammoma bodies in tumor tissue, and patient age showed significant associations with the risk of synchronous regional lymph node metastases. Therefore, in our definition tumor &#x201c;buds&#x201d; may indeed be a sign of more aggressive invasive tumor growth, intraorgan dissemination, or lymphatic vessel invasion. The possibility of <italic>de novo</italic> development of additional tumor foci cannot be entirely ruled out. Despite the identified morphological and clinical predictors of metastasis, the significance of these findings in the context of disease prognosis remains debatable, as overall and recurrence-free survival rates for papillary thyroid microcarcinoma remain extremely high (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). In this study, we did not aim to determine the nature of tumor &#x201c;buds&#x201d; in each specific case. Further research using 3D visualization, immunohistochemical markers (e.g., CD31, D2-40), molecular profiling, and sequencing could clarify their nature&#x2014;whether they are emboli, microfoci, tangential sections, or invasion areas. However, this process may be labor-intensive, costly, and not always successful due to the small size of such complexes (&#x2264;0.1 cm). Nevertheless, the term &#x201c;tumor bud&#x201d; seems appropriate as a risk factor detectable during routine histological examination. It should be noted that the term &#x201c;tumor budding&#x201d; is currently not used in the context of thyroid carcinomas. In histological evaluation of colorectal adenocarcinomas, it refers to single cells or small clusters composed of fewer than five cells located at the invasive front of the tumor (<xref ref-type="bibr" rid="B30">30</xref>). Therefore, the definition of tumor &#x201c;budding&#x201d; adopted in our study is novel and differs from the definition used in studies of colorectal carcinomas.</p>
<p>Regarding the higher frequency of psammoma bodies in tumor tissue and the statistical trend toward more frequent detection of psammoma bodies outside the tumor in patients with metastases, similar findings have been reported in large studies by Bai et&#xa0;al. and Pyo et&#xa0;al. (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Unfortunately, Bai et&#xa0;al. did not specify whether psammoma bodies were detected in tumor tissue or in thyroid tissue outside the tumor. Additionally, the study group in that work consisted of patients with tumor nodes &#x2265;1 cm (mostly &#x2265;2 cm). Pyo et&#xa0;al. included patients with papillary microcarcinomas as well as larger tumors, and approximately 30% of the overall group had multifocal tumor growth. In that study, the presence of psammoma bodies in both tumor tissue and thyroid tissue outside the tumor showed statistical significance for regional metastasis detection. Unfortunately, in our study, the detection of psammoma bodies outside the tumor showed only a statistical trend toward more frequent synchronous metastasis detection. Moreover, there are differences in statistical methods. However, the association between psammoma bodies in tumor tissue and regional lymph node metastases was confirmed in both univariate and multivariate analyses. Furthermore, our findings align well with the results of J.V. Johannessen and M. Sobrinho-Sim&#xf5;es, who suggested that psammoma bodies may represent calcified papillary tumor structures or tumor emboli in lymphatic vessels (<xref ref-type="bibr" rid="B33">33</xref>). Additionally, Liu et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>) noted that intra- and extratumoral microcalcifications detected during ultrasound examinations of patients with papillary thyroid cancer are risk factors for cervical lymph node metastases. The association between patient age and the risk of synchronous regional lymph node metastases identified in our study also correlates well with the results of Liu et&#xa0;al.: we found an increased risk of metastases in patients younger than 52 years, while Liu et&#xa0;al. reported an increased risk in patients younger than 55 years.</p>
<p>Tumor size is a criterion in most staging systems for differentiated thyroid cancer (<xref ref-type="bibr" rid="B35">35</xref>), including AJCC TNM (<xref ref-type="bibr" rid="B36">36</xref>). In our study, a tumor node size &#x2265;0.7 cm emerged as a risk factor, but only in univariate analysis. It is noteworthy that no metastatic lymph node involvement was observed in patients with tumor sizes &lt;0.3 cm. The identified association between patient BMI and the risk of regional lymph node metastasis is of particular interest. Recently, excess body weight has been considered a risk factor for papillary thyroid cancer development (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B37">37</xref>). According to the large MASTER study published in 2023, obesity was associated with the frequency of extrathyroidal extension and the development of intermediate-risk papillary thyroid carcinomas in women (<xref ref-type="bibr" rid="B38">38</xref>). There is also evidence of a correlation between increased BMI and the development of papillary thyroid carcinomas &gt;4 cm in size (<xref ref-type="bibr" rid="B39">39</xref>). Meanwhile, J.M. Kim reported a possible association between overweight/obesity and multifocal papillary thyroid cancer growth and recurrence but did not note a link with tumor size, extrathyroidal extension, or regional lymph node metastasis development (<xref ref-type="bibr" rid="B40">40</xref>). Our study found a significant association between lower BMI and an increased risk of regional lymph node metastasis, but only in univariate analysis.</p>
<p>In this study, we attempted to use nucleolar features of tumor cells&#x2014;similar to those employed in the modified WHO/ISUP classification by S.A. Fuhrman&#x2014;as a potential predictor of metastasis. It is known, for instance, that the original S.A. Fuhrman criteria have also been applied in the L.M. Weiss classification developed for adrenocortical tumors (<xref ref-type="bibr" rid="B41">41</xref>). The criteria we developed were conceptually similar to the original classification: we also assessed the basophilia and eosinophilia of nucleoli within the nuclei of tumor cells at &#xd7;100 and &#xd7;400 magnification. However, significant differences existed in the specific details of the criteria. This is due to difficulties we encountered in directly applying the original criteria from the modified S.A. Fuhrman classification, which is widely used for grading renal cell carcinoma. These difficulties arose from the predominance of basophilic nucleoli and the absence of well-defined eosinophilic nucleoli at &#xd7;100 magnification in cells of papillary thyroid microcarcinoma.</p>
<p>Unfortunately, this study did not identify any correlation between the structural features of nucleoli in tumor cells and the presence of regional lymph node metastases, nor with the BRAF V600E mutation. Besides, the presence of the <italic>BRAF V600E</italic> mutation in tumor tissue showed no association with the frequency of regional metastasis detection. However, patients with this mutation had a higher frequency of tall cell tumor components and a statistical trend toward a higher frequency of the tall cell tumor subtype and a lower frequency of the invasive encapsulated follicular subtype&#x2014;consistent with current data on molecular alterations in various papillary carcinoma subtypes. It is known that the high-cell subtype of papillary thyroid microcarcinoma has a &gt;92% frequency of the <italic>BRAF V600E</italic> mutation, while the invasive encapsulated follicular subtype is primarily associated with mutations in genes such as RAS and PAX8/PPAR&#x3b3; (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>Interestingly, in 2023, our colleagues from a hospital in Shandong Province (China) published a study focused on risk factors for metastasis in papillary thyroid carcinoma, the results of which partially contradict our own findings (<xref ref-type="bibr" rid="B43">43</xref>). Among other factors, they identified age &#x2265;45 years, BMI &#x2265;25, and the presence of the BRAF V600E mutation as risk factors. Several notable differences between our studies may account for the observed discrepancies in results. From a research standpoint, the strengths of the Chinese study include a significantly larger sample size (400 patients) and the routine performance of central lymph node dissection in accordance with Chinese clinical guidelines for the diagnosis and treatment of differentiated thyroid carcinoma. This allowed for pathologic assessment of lymph node metastases in all patients. Despite this, the proportion of patients with lymph node metastases was lower (35%). Their cohort also included patients with multifocal tumor growth patterns and more than 20% of patients had tumors measuring &#x2265;1 cm. Papillary thyroid carcinoma was not subtyped in that study.</p>
<p>In our study, the control group included patients without clinical evidence of lymph node metastases in the neck, and, in accordance with Russian clinical guidelines for the treatment of differentiated thyroid carcinoma, central lymph node dissection was not routinely performed. However, individual lymph nodes closely adjacent to the thyroid tissue may have been removed during surgery. One must also take into account the substantial ethnic differences between the patient populations studied.</p>    <p>Among the results we have obtained, the higher frequency of the classic tumor subtype among patients with metastases is noteworthy, as, according to current understanding, patients with this subtype are not typically classified as high-risk. It is possible that histological subtyping is more subjective for papillary microcarcinomas than for larger tumors, and the challenges increase with smaller tumor sizes. Therefore, it may be worthwhile to conduct a study assessing the degree of interobserver agreement in histological subtyping of papillary thyroid microcarcinomas. It cannot be ruled out that some features distinguishing non-classic subtypes are minimally represented in small tumors, raising questions about the necessity of precise subtyping for such cases. Additionally, the prognostic significance of gene expression profiles in tumor tissue may be more relevant for papillary microcarcinomas than for larger tumors, but this requires separate investigation.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Institutional Ethics Committee of Endocrinology Research Center (protocol code 10, 26.05.2020). The patients/participants provided their written informed consent to participate in this study. The studies were conducted in accordance with the local legislation and institutional requirements. The human samples used in this study were acquired from primarily isolated as part of your previous study for which ethical approval was obtained. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>AV: Methodology, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. AE: Writing &#x2013; review &amp; editing, Data curation. AM: Writing &#x2013; review &amp; editing, Data curation. NP: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. AD: Writing &#x2013; review &amp; editing. KS: Writing &#x2013; review &amp; editing. PN: Writing &#x2013; review &amp; editing. DB: Writing &#x2013; review &amp; editing. VV: Writing &#x2013; review &amp;&#xa0;editing. LU:&#xa0;Writing &#x2013; review &amp; editing, Conceptualization.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. The research was carried out within the state assignment of Ministry of Health of the Russian Federation (theme No. 124020600011-5).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
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<title>Generative AI statement</title>
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