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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.2025.1626766</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>Thyroglobulin-to-tumor volume ratio combined with ultrasound features for diagnosing thyroid follicular neoplasms</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhu</surname>
<given-names>Xixi</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="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Fen</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Jiaye</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1493431/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Zhihui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3063183/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Division of Thyroid Surgery, Department of General Surgery; Laboratory of Thyroid and Parathyroid Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, Center of Precision Medicine, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu, Sichuan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Operating Room, West China Hospital, West China School of Nursing, Sichuan University</institution>, <addr-line>Chengdu, Sichuan</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Umberto Malapelle, University of Naples Federico II, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jincao Yao, University of Chinese Academy of Sciences, China</p>
<p>Shahram Taeb, Gilan University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yu Ma, <email xlink:href="mailto:mayujzx@wchscu.cn">mayujzx@wchscu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and shared the first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1626766</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhu, Liu, Liu, Li and Ma</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhu, Liu, Liu, Li and Ma</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>Objective</title>
<p>Current preoperative diagnostics inadequately differentiate benign from malignant thyroid follicular neoplasms. This study evaluated the diagnostic utility of thyroid function markers and contrast-enhanced ultrasound (CEUS) features in differentiating follicular thyroid adenoma (FTA) from follicular thyroid carcinoma (FTC), focusing on a novel parameter: the thyroglobulin-to-tumor volume ratio (Tg/Vol ratio).</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively analyzed 432 resected thyroid follicular neoplasms. A comprehensive comparison was performed regarding baseline characteristics, thyroid function profiles, and CEUS features between FTA and FTC groups through univariate and multivariate binary logistic regression. Diagnostic performance was determined via receiver operating characteristic (ROC) curve analysis. The prevalence of FTC across serum marker subgroups was assessed, followed by the development of a multivariate diagnostic model integrating the Tg/Vol ratio with CEUS characteristics.</p>
</sec>
<sec>
<title>Results</title>
<p>Among 432 patients (352 females, 81.5%) with a median age of 47 years, multivariate logistic regression analysis revealed three independent predictors of FTC: capsular involvement (odds ratio [OR] = 9.958, 95% confidence interval [CI]: 2.453 &#x2013; 40.424, p = 0.001), Tg/Vol ratio &gt;7.412 (OR = 3.508, 95% CI: 1.388 &#x2013; 8.868, p = 0.008), and male gender (OR = 3.474, CI: 1.751 &#x2013; 6.891, p &lt; 0.001). Subgroup analyses revealed higher FTC prevalence in patients with Tg &gt; 409.18 &#x3bc;g/L (20.41%, p = 0.002) and Tg/Vol ratio &gt; 20.68 (20.41%, p = 0.009). The combined diagnostic model incorporating Tg/Vol ratio and CEUS features demonstrated 69.4% sensitivity, 77.0% specificity, and the area under the curve(AUC) of 0.769.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>While elevated preoperative Tg correlates with malignant potential, but the Tg/Vol ratio emerges as a more robust preoperative discriminator. The combined diagnostic model incorporating Tg/Vol ratio and CEUS features significantly improves FTC detection accuracy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>thyroid follicular neoplasm</kwd>
<kwd>follicular thyroid carcinoma</kwd>
<kwd>the serum thyroglobulin-to-tumor volume ratio</kwd>
<kwd>thyroglobulin</kwd>
<kwd>ultrasonography</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="1"/>
<ref-count count="34"/>
<page-count count="9"/>
<word-count count="3926"/>
</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">
<title>Introduction</title>
<p>Thyroid follicular neoplasms, the second most prevalent thyroid tumors, are histologically classified into follicular thyroid adenoma (FTA) and follicular thyroid carcinoma (FTC) (<xref ref-type="bibr" rid="B1">1</xref>). The diagnostic gold standard&#x2014;identification of capsular and/or vascular invasion&#x2014;can only be confirmed postoperatively through pathological examination, posing a critical clinical dilemma in preoperative decision-making (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>While ultrasonography serves as the primary screening modality for thyroid nodules, its diagnostic accuracy for follicular neoplasms remains suboptimal (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The European Thyroid Association guidelines noted that FTC may more frequently exhibit irregular margins and microcalcifications (<xref ref-type="bibr" rid="B5">5</xref>); however, a recent study involving 705 patients revealed significant limitations in conventional Thyroid Imaging Reporting and Data System in differentiating FTC from FTA (<xref ref-type="bibr" rid="B6">6</xref>). Unlike papillary thyroid carcinoma (PTC), fine-needle aspiration biopsy demonstrates limited diagnostic value for FTC due to its inability to assess capsular or vascular invasion, the pathological hallmarks of malignancy (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>In contrast to medullary thyroid carcinoma (MTC), where calcitonin serves as a reliable serum marker (<xref ref-type="bibr" rid="B8">8</xref>), no validated preoperative biomarker currently exists for FTC (<xref ref-type="bibr" rid="B9">9</xref>). Emerging evidence suggests that serum thyroglobulin (Tg) levels correlate with both the secretory activity and malignant potential of thyroid tumors, with FTC typically exhibiting elevated Tg secretion (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). This positions Tg as a potential discriminator between benign and malignant follicular neoplasms.</p>
<p>However, serum Tg concentration alone suffers from limited specificity due to confounding factors, including thyroid volume and inflammatory status (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). While Tg levels exhibit nonspecific elevation due to thyroid tissue volume, the nonlinear correlation between tumor size and neoplastic Tg production further compromises diagnostic accuracy. (<xref ref-type="bibr" rid="B14">14</xref>). To address these limitations, the serum thyroglobulin-to-tumor volume ratio (Tg/Vol ratio), a novel parameter correcting for tumor dimension, may better reflect the functional-morphological disparities between FTA and FTC by normalizing secretory output to lesion size.</p>
<p>Therefore, this study aimed to evaluate the diagnostic utility of preoperative thyroid function profiles and CEUS features in distinguishing FTA from FTC; and develop a composite diagnostic model to enhance preoperative FTC detection; Additionally, this represents the first large-scale study to systematically evaluate the diagnostic efficacy of the noninvasive Tg/Vol ratio as a novel discriminator for thyroid follicular neoplasms.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s3_1">
<title>Study population</title>
<p>This retrospective study analyzed consecutive patients who underwent initial surgical resection for thyroid follicular neoplasms at West China Hospital between January 2012 and December 2024. Exclusion criteria were as follows: (1) Insufficient preoperative data (serum thyroid markers or CEUS examinations); (2) Final pathological diagnosis of follicular tumor of uncertain malignant potential (FT-UMP) or noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP); (3) Concurrent acute or chronic thyroiditis (Patients with clinical manifestations of neck pain, swelling, or tenderness, positive thyroid autoantibodies, and characteristic ultrasonographic features such as heterogeneous parenchymal echotexture or increased vascularity); (4) Predominantly cystic lesions or significant thyroid gland enlargement. The study was assessed and approved by the ethics committees of the hospitals (No.20242251). The requirement for written informed consent was waived due to the study&#x2019;s retrospective design and no patients were excluded based on consent status.</p>
</sec>
<sec id="s3_2">
<title>Serological analysis</title>
<p>Serum thyroglobulin (Tg; reference range: 3.50 &#x2013; 77.00 &#x3bc;g/L), thyroglobulin antibodies (TgAb; 0 &#x2013; 115.00 IU/mL), thyroid peroxidase antibodies (TPOAb; 0 &#x2013; 34.00 IU/mL), and thyroid-stimulating hormone receptor antibodies (TRAb; 0 &#x2013; 1.75 IU/mL) were quantified via electrochemiluminescence immunoassay. Thyroid-stimulating hormone (TSH; 0.27 &#x2013; 4.2 mIU/L), free triiodothyronine (FT3; 3.60 &#x2013; 7.50 pmol/L), and free thyroxine (FT4; 12.0 &#x2013; 22.0 pmol/L) levels were measured using chemiluminescent immunoassay.</p>
<p>TgAb positivity was defined as &#x2265; 115.00 IU/mL. Given potential TgAb interference, Tg analysis was restricted to TgAb-negative patients (&lt; 115.00 IU/mL). For Tg values exceeding the upper detection limit (5,000 &#x3bc;g/L), results were censored at 5,000 &#x3bc;g/L. All measurements were conducted in this center according to unified standard protocols to ensure reproducibility.</p>
</sec>
<sec id="s3_3">
<title>Tumor volume calculation</title>
<p>Tumor volume (cm&#xb3;) was calculated using the prolate ellipsoid formula, which is currently one of the standard methods for ultrasonographic tumor volume measurement and has been validated in prior thyroid studies (<xref ref-type="bibr" rid="B15">15</xref>). Dimensions were obtained from CEUS reports, with data validity confirmed through rigorous reliability testing.</p>
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</mml:mrow>
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</disp-formula>
</sec>
<sec id="s3_4">
<title>Image analysis</title>
<p>A linear array probe (5&#x2013;12 MHz) was used. Patients assumed a supine position with full neck exposure. Contrast-enhanced ultrasound dynamically visualized multiple thyroid sections. Two experienced sonographers independently analyzed all image parameters; discrepancies were resolved by a third physician&#x2019;s consultation for consensus.</p>
</sec>
<sec id="s3_5">
<title>Statistical analysis</title>
<p>All statistical analyses were performed using SPSS 27.0 (IBM Corp., Armonk, NY, USA), with a two-tailed significance level set at &#x3b1; = 0.05. Continuous variables with non-normal distributions were expressed as median (range) and compared using the Mann-Whitney U test. Categorical variables were presented as frequencies (percentages) and analyzed by &#x3c7;&#xb2; test or Fisher&#x2019;s exact test, as appropriate.</p>
<p>To identify risk factors for FTC, both univariate and multivariate binary logistic regression analyses were conducted. The diagnostic performance of significant predictors was evaluated using receiver operating characteristic (ROC) curve analysis, with sensitivity and specificity reported. For statistically significant indicators, the area under the ROC curve (AUC) was compared using DeLong&#x2019;s test to assess predictive value and determine optimal cutoff thresholds. A combined diagnostic model was subsequently developed through binary logistic regression.</p>
<p>Additionally, Spearman&#x2019;s rank correlation analysis was employed to examine the association between FTC prevalence and various patient subgroups, with correlation coefficients (r) reported.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s4_1">
<title>Clinical characteristics</title>
<p>The study cohort comprised 432 patients with thyroid follicular neoplasms, including 377 cases of FTA and 55 cases of FTC. The cohort included 352 females (81.5%) and 80 males (18.5%), with an age range of 3&#x2013;80 years (mean &#xb1; standard deviation [SD], 47.4 &#xb1; 13.6 years).</p>
<p>Comparative analysis between FTA and FTC groups revealed statistically significant differences in male predominance (15.1% vs. 41.8%, p &lt; 0.001) and preoperative serum FT3 levels (median [interquartile range, IQR]: 4.75 [4.32 &#x2013; 5.32] vs. 5.06 [4.54 &#x2013; 5.58] pmol/L, p = 0.033). No significant differences were observed in age, body mass index (BMI), maximal tumor diameter, tumor volume, or levels of TgAb, TPOAb, TRAb, TSH, or FT4. Additionally, the proportions of patients with elevated TgAb, TPOAb, or TRAb did not differ significantly between groups (<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>Comparison of clinical characteristics between FTA and FTC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Characteristic</th>
<th valign="middle" colspan="2" align="center">FTA (n = 377)</th>
<th valign="middle" colspan="2" align="center">FTC (n = 55)</th>
<th valign="middle" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="right">57</td>
<td valign="middle" align="left">(15.1%)</td>
<td valign="middle" align="right">23</td>
<td valign="middle" align="left">(41.8%)</td>
<td valign="middle" align="left">&lt; 0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="right">48</td>
<td valign="middle" align="left">(39 &#x2013; 57)</td>
<td valign="middle" align="right">47</td>
<td valign="middle" align="left">(34 &#x2013; 58)</td>
<td valign="middle" align="left">0.496</td>
</tr>
<tr>
<td valign="middle" align="left">BMI</td>
<td valign="middle" align="right">22.83</td>
<td valign="middle" align="left">(20.73 &#x2013; 24.97)</td>
<td valign="middle" align="right">23.67</td>
<td valign="middle" align="left">(21.49 &#x2013; 26.72)</td>
<td valign="middle" align="left">0.091</td>
</tr>
<tr>
<td valign="middle" align="left">Maximum tumor diameter (cm)</td>
<td valign="middle" align="right">4.60</td>
<td valign="middle" align="left">(3.60 &#x2013; 5.70)</td>
<td valign="middle" align="right">4.40</td>
<td valign="middle" align="left">(3.80 &#x2013; 5.70)</td>
<td valign="middle" align="left">0.970</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor volume (cm&#xb3;)</td>
<td valign="middle" align="right">18.35</td>
<td valign="middle" align="left">(9.67 &#x2013; 37.27)</td>
<td valign="middle" align="right">21.22</td>
<td valign="middle" align="left">(11.47 &#x2013; 38.61)</td>
<td valign="middle" align="left">0.354</td>
</tr>
<tr>
<td valign="middle" align="left">TgAb (IU/mL)</td>
<td valign="middle" align="right">15.70</td>
<td valign="middle" align="left">(13.40 &#x2013; 19.35)</td>
<td valign="middle" align="right">15.70</td>
<td valign="middle" align="left">(13.30 &#x2013; 33.10)</td>
<td valign="middle" align="left">0.756</td>
</tr>
<tr>
<td valign="middle" align="left">TgAb &gt; 115 IU/mL</td>
<td valign="middle" align="right">34</td>
<td valign="middle" align="left">(9.0%)</td>
<td valign="middle" align="right">6</td>
<td valign="middle" align="left">(10.9%)</td>
<td valign="middle" align="left">0.651</td>
</tr>
<tr>
<td valign="middle" align="left">TPOAb (IU/L)</td>
<td valign="middle" align="right">9.11</td>
<td valign="middle" align="left">(9.00 &#x2013; 16.45)</td>
<td valign="middle" align="right">9.42</td>
<td valign="middle" align="left">(9.00 &#x2013; 15.50)</td>
<td valign="middle" align="left">0.859</td>
</tr>
<tr>
<td valign="middle" align="left">TPOAb &gt; 34.00 IU/L</td>
<td valign="middle" align="right">55</td>
<td valign="middle" align="left">(14.6%)</td>
<td valign="middle" align="right">7</td>
<td valign="middle" align="left">(12.7%)</td>
<td valign="middle" align="left">0.713</td>
</tr>
<tr>
<td valign="middle" align="left">TRAb (IU/L)</td>
<td valign="middle" align="right">0.80</td>
<td valign="middle" align="left">(0.80 &#x2013; 0.80)</td>
<td valign="middle" align="right">0.80</td>
<td valign="middle" align="left">(0.80 &#x2013; 0.87)</td>
<td valign="middle" align="left">0.118</td>
</tr>
<tr>
<td valign="middle" align="left">TRAb &gt; 1.75 IU/L</td>
<td valign="middle" align="right">8</td>
<td valign="middle" align="left">(2.1%)</td>
<td valign="middle" align="right">2</td>
<td valign="middle" align="left">(3.6%)</td>
<td valign="middle" align="left">0.828</td>
</tr>
<tr>
<td valign="middle" align="left">TSH (mIU/L)</td>
<td valign="middle" align="right">1.89</td>
<td valign="middle" align="left">(1.19 &#x2013; 2.90)</td>
<td valign="middle" align="right">1.78</td>
<td valign="middle" align="left">(1.10 &#x2013; 2.84)</td>
<td valign="middle" align="left">0.810</td>
</tr>
<tr>
<td valign="middle" align="left">FT3 (pmol/L)</td>
<td valign="middle" align="right">4.75</td>
<td valign="middle" align="left">(4.32 &#x2013; 5.32)</td>
<td valign="middle" align="right">5.06</td>
<td valign="middle" align="left">(4.54 &#x2013; 5.58)</td>
<td valign="middle" align="left">0.033<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">FT4 (pmol/L)</td>
<td valign="middle" align="right">15.00</td>
<td valign="middle" align="left">(13.40 &#x2013; 16.80)</td>
<td valign="middle" align="right">14.80</td>
<td valign="middle" align="left">(13.40 &#x2013; 16.20)</td>
<td valign="middle" align="left">0.526</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FTA, Follicular thyroid adenoma; FTC, Follicular thyroid carcinoma; TgAb, Thyroglobulin antibody; TPOAb, Thyroid peroxidase antibody; TRAb, Thyrotropin receptor antibody; TSH, Thyroid-stimulating hormone; FT3, Free triiodothyronine; FT4, Free thyroxine</p>
</fn>
<fn>
<p>
<sup>*</sup>p-value &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>To minimize interference from elevated TgAb, analyses involving Tg and Tg/Vol ratio were restricted to TgAb-negative patients (&lt; 115.00 IU/mL). Among 392 TgAb-negative patients (343 FTA, 49 FTC), significant intergroup differences were noted in preoperative serum Tg levels (122.00 [40.10 &#x2013; 345.00] vs. 271.00 [137.00 &#x2013; 962.00] &#x3bc;g/L, p &lt; 0.001), Tg elevation prevalence (62.7% vs. 77.6%, p = 0.042), and Tg/Vol ratio (6.98 [2.86 &#x2013; 18.54] vs. 13.02 [7.63 &#x2013; 51.71], p &lt; 0.001). No differences were detected in maximal tumor diameter, tumor volume, or TgAb levels (<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>Comparison of clinical characteristics between TgAb-negative FTA and FTC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Characteristic</th>
<th valign="middle" colspan="2" align="center">FTA (n = 343)</th>
<th valign="middle" colspan="2" align="center">FTC (n = 49)</th>
<th valign="middle" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Maximum tumor diameter (cm)</td>
<td valign="middle" align="right">4.60</td>
<td valign="middle" align="left">(3.70 &#x2013; 5.70)</td>
<td valign="middle" align="right">4.40</td>
<td valign="middle" align="left">(3.80 &#x2013; 5.75)</td>
<td valign="middle" align="left">0.952</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor volume (cm&#xb3;)</td>
<td valign="middle" align="right">18.39</td>
<td valign="middle" align="left">(9.95 &#x2013; 37.64)</td>
<td valign="middle" align="right">21.22</td>
<td valign="middle" align="left">(11.30 &#x2013; 38.77)</td>
<td valign="middle" align="left">0.366</td>
</tr>
<tr>
<td valign="middle" align="left">Tg (ug/L)</td>
<td valign="middle" align="right">122.00</td>
<td valign="middle" align="left">(40.10 &#x2013; 345.00)</td>
<td valign="middle" align="right">271.00</td>
<td valign="middle" align="left">(137.00 &#x2013; 962.00)</td>
<td valign="middle" align="left">&lt; 0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Tg &gt; 77 ug/L</td>
<td valign="middle" align="right">215</td>
<td valign="middle" align="left">(62.7%)</td>
<td valign="middle" align="right">38</td>
<td valign="middle" align="left">(77.6%)</td>
<td valign="middle" align="left">0.042<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">TgAb (IU/ml)</td>
<td valign="middle" align="right">15.30</td>
<td valign="middle" align="left">(13.30 &#x2013; 17.90)</td>
<td valign="middle" align="right">14.80</td>
<td valign="middle" align="left">(13.20 &#x2013; 20.85)</td>
<td valign="middle" align="left">0.888</td>
</tr>
<tr>
<td valign="middle" align="left">Tg/Vol ratio</td>
<td valign="middle" align="right">6.98</td>
<td valign="middle" align="left">(2.86 &#x2013; 18.54)</td>
<td valign="middle" align="right">13.02</td>
<td valign="middle" align="left">(7.63 &#x2013; 51.71)</td>
<td valign="middle" align="left">&lt; 0.001<sup>*</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FTA, Follicular thyroid adenoma; FTC, Follicular thyroid carcinoma; Tg, Thyroglobulin; TgAb, Thyroglobulin antibody.</p>
</fn>
<fn>
<p>
<sup>*</sup>p-value &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4_2">
<title>Ultrasonographic features</title>
<p>Comparative analysis of 377 FTA and 55 FTC cases demonstrated significant differences in tumor morphology (p = 0.003), margin clarity (p = 0.020), calcification patterns (p &lt; 0.001), and capsular involvement (p &lt; 0.001). No significant variations were observed in tumor location (p = 0.158), aspect ratio (p = 1.000), cystic-solid composition (p = 0.172), or Adler blood flow grading (p = 0.773) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s4_3">
<title>Odds ratios of clinical and ultrasonographic characteristics</title>
<p>Univariate analysis revealed statistically significant differences between FTA and FTC patients regarding gender, FT3 levels, Tg levels, Tg/Vol ratio, tumor morphology, margin clarity, presence and type of calcifications, and capsular involvement (all p &lt; 0.05).</p>
<p>ROC curves were constructed for FT3, Tg, and Tg/Vol ratio in FTC diagnosis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Optimal cutoff values determined by Youden&#x2019;s index were: FT3 &gt; 5.045 pmol/L (AUC 0.647), Tg &gt; 217.5 &#x3bc;g/L (AUC 0.608), and Tg/Vol ratio &gt; 7.412 (AUC 0.631) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>(Left) ROC curve of preoperative FT3 levels for predicting FTC; (Right) ROC curves of preoperative serum Tg levels and Tg/Vol ratio for predicting FTC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1626766-g001.tif">
<alt-text content-type="machine-generated">Two ROC (Receiver Operating Characteristic) curves are shown. The left graph plots FT3, and the right graph compares Tg and Tg/TV ratio. Both graphs depict sensitivity against 1-specificity, with diagonal reference lines indicating no discrimination ability. The curves compare the predictive accuracy of each measure. The legend differentiates the parameters with distinct colored lines.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4_4">
<title>Diagnostic logistic regression analysis</title>
<p>Variables demonstrating statistical significance in univariate analysis (male gender, FT3 &gt; 5.045 pmol/L, irregular tumor shape, irregular margins, microcalcifications, and capsular involvement) were subsequently incorporated into multivariate logistic regression modeling (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). The analysis revealed male gender (p &lt; 0.001) and capsular involvement (p = 0.001) as statistically significant independent risk factors, while FT3 &gt;&#xa0;5.045&#xa0;pmol/L (p = 0.105), irregular tumor morphology (p&#xa0;=&#xa0;0.377), irregular margins (p = 0.681), and microcalcifications (p&#xa0;= 0.297) failed to demonstrate independent predictive value.</p>
<p>To mitigate potential confounding effects from thyroglobulin antibodies (TgAb), analyses incorporating Tg and Tg/Vol ratio were exclusively performed in TgAb-negative patients (&lt;115.00 IU/mL, n=392). Multivariate evaluation of significant univariate predictors (Tg &gt; 217.5 &#x3bc;g/L and Tg/Vol ratio &gt; 7.412) identified only Tg/Vol ratio &gt; 7.412 (p = 0.008) as maintaining independent predictive significance, whereas Tg &gt; 217.5 &#x3bc;g/L (p = 0.507) showed no statistically meaningful association (<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>Binary logistic regression analysis of clinical characteristics and CEUS features in predicting FTC in TgAb-negative patients <xref ref-type="table-fn" rid="fnT3_1">
<sup>a</sup>
</xref>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Characteristic</th>
<th valign="middle" rowspan="2" colspan="2" align="center">FTA (n = 343)</th>
<th valign="middle" rowspan="2" colspan="2" align="center">FTC (n = 49)</th>
<th valign="middle" colspan="3" align="center">Univariate Logistic Regression</th>
<th valign="middle" colspan="3" align="center">Multivariate Logistic Regression</th>
</tr>
<tr>
<th valign="middle" align="center">OR</th>
<th valign="middle" align="center">(95% CI)</th>
<th valign="middle" align="center">p-value</th>
<th valign="middle" align="center">OR</th>
<th valign="middle" align="center">(95% CI)</th>
<th valign="middle" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Maximum tumor diameter (cm)</td>
<td valign="top" align="right">4.60</td>
<td valign="top" align="left">(3.70 &#x2013; 5.70)</td>
<td valign="top" align="right">4.40</td>
<td valign="top" align="left">(3.80 &#x2013; 5.75)</td>
<td valign="top" align="right">1.011</td>
<td valign="top" align="left">(0.842 &#x2013; 1.214)</td>
<td valign="top" align="left">0.908</td>
<td valign="top" align="right"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor volume (cm&#xb3;)</td>
<td valign="top" align="right">18.39</td>
<td valign="top" align="left">(9.95 &#x2013; 37.64)</td>
<td valign="top" align="right">21.22</td>
<td valign="top" align="left">(11.30 &#x2013; 38.77)</td>
<td valign="top" align="right">1.001</td>
<td valign="top" align="left">(0.994 &#x2013; 1.009)</td>
<td valign="top" align="left">0.712</td>
<td valign="top" align="right"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="11" align="left">Tg (ug/L) <xref ref-type="table-fn" rid="fnT3_2">
<sup>b</sup>
</xref>
</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264; 77.00</td>
<td valign="top" align="right">128</td>
<td valign="top" align="left">(37.3%)</td>
<td valign="top" align="right">11</td>
<td valign="top" align="left">(22.4%)</td>
<td valign="top" align="right">1.000</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="right">1.000</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;77.00 &#x2013; 217.50</td>
<td valign="top" align="right">104</td>
<td valign="top" align="left">(30.3%)</td>
<td valign="top" align="right">7</td>
<td valign="top" align="left">(14.3%)</td>
<td valign="top" align="right">0.783</td>
<td valign="top" align="left">(0.293 &#x2013; 2.092)</td>
<td valign="top" align="left">0.626</td>
<td valign="top" align="right">0.457</td>
<td valign="top" align="left">(0.155 &#x2013; 1.344)</td>
<td valign="top" align="left">0.155</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; 217.50</td>
<td valign="top" align="right">111</td>
<td valign="top" align="left">(32.4%)</td>
<td valign="top" align="right">31</td>
<td valign="top" align="left">(63.3%)</td>
<td valign="top" align="right">3.250</td>
<td valign="top" align="left">(1.561 &#x2013; 6.766)</td>
<td valign="top" align="left">0.002<sup>*</sup>
</td>
<td valign="top" align="right">1.376</td>
<td valign="top" align="left">(0.536 &#x2013; 3.531)</td>
<td valign="top" align="left">0.507</td>
</tr>
<tr>
<th valign="top" colspan="11" align="left">TgAb (IU/ml) <xref ref-type="table-fn" rid="fnT3_3">
<sup>c</sup>
</xref>
</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264; 13.30</td>
<td valign="top" align="right">81</td>
<td valign="top" align="left">(23.6%)</td>
<td valign="top" align="right">15</td>
<td valign="top" align="left">(27.3%)</td>
<td valign="top" align="right">1.000</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="right"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;13.30 &#x2013; 15.30</td>
<td valign="top" align="right">88</td>
<td valign="top" align="left">(25.7%)</td>
<td valign="top" align="right">7</td>
<td valign="top" align="left">(27.3%)</td>
<td valign="top" align="right">0.898</td>
<td valign="top" align="left">(0.397 &#x2013; 2.028)</td>
<td valign="top" align="left">0.795</td>
<td valign="top" align="right"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;15.30 &#x2013; 18.10</td>
<td valign="top" align="right">82</td>
<td valign="top" align="left">(23.9%)</td>
<td valign="top" align="right">12</td>
<td valign="top" align="left">(10.9%)</td>
<td valign="top" align="right">0.488</td>
<td valign="top" align="left">(0.190 &#x2013; 1.253)</td>
<td valign="top" align="left">0.136</td>
<td valign="top" align="right"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt; 18.10</td>
<td valign="top" align="right">92</td>
<td valign="top" align="left">(26.8%)</td>
<td valign="top" align="right">15</td>
<td valign="top" align="left">(34.5%)</td>
<td valign="top" align="right">1.136</td>
<td valign="top" align="left">(0.523 &#x2013; 2.467)</td>
<td valign="top" align="left">0.748</td>
<td valign="top" align="right"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="11" align="left">Tg/Vol ratio <xref ref-type="table-fn" rid="fnT3_4">
<sup>d</sup>
</xref>
</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264; 7.412</td>
<td valign="top" align="right">177</td>
<td valign="top" align="left">(51.6%)</td>
<td valign="top" align="right">10</td>
<td valign="top" align="left">(20.4%)</td>
<td valign="top" align="right">1.000</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="right">1.000</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt; 7.412</td>
<td valign="top" align="right">166</td>
<td valign="top" align="left">(48.4%)</td>
<td valign="top" align="right">39</td>
<td valign="top" align="left">(79.6%)</td>
<td valign="top" align="right">4.158</td>
<td valign="top" align="left">(2.011 &#x2013; 8.597)</td>
<td valign="top" align="left">&lt; 0.001<sup>*</sup>
</td>
<td valign="top" align="right">3.508</td>
<td valign="top" align="left">(1.388 &#x2013; 8.868)</td>
<td valign="top" align="left">0.008<sup>*</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FTA, Follicular thyroid adenoma; FTC, Follicular thyroid carcinoma; Tg, Thyroglobulin; TgAb, Thyroglobulin antibody; OR, Odds ratio; CI, Confidence interval</p>
</fn>
<fn id="fnT3_1">
<label>a</label>
<p>Due to potential interference from elevated TgAb, analyses involving Tg and Tg/Vol ratio were performed only in TgAb-negative patients (&lt; 115.00 IU/mL).</p>
</fn>
<fn id="fnT3_2">
<label>b</label>
<p>In the Tg subgroup, patients were divided into 3 groups based on the upper limit of normal preoperative Tg value (77 ug/L) and the optimal cutoff value (217.5 ug/L) derived from univariate analysis.</p>
</fn>
<fn id="fnT3_3">
<label>c</label>
<p>All patients were divided into 4 groups using the quartile method.</p>
</fn>
<fn id="fnT3_4">
<label>d</label>
<p>In the Tg/Vol ratio subgroup, patients were divided into 2 groups using the optimal cutoff value (7.412) derived from univariate analysis.</p>
</fn>
<fn>
<p>
<sup>*</sup>p-value &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The final multivariate predictive model established three independent risk factors for follicular thyroid carcinoma, ranked in descending order of predictive strength: capsular involvement (adjusted odds ratio [OR] = 9.958; 95% CI: 2.453-40.424), Tg/Vol ratio &gt;7.412 (adjusted OR = 3.508; 95% CI: 1.388-8.868), and male gender (adjusted OR = 3.474; 95% CI: 1.751-6.891).</p>
</sec>
<sec id="s4_5">
<title>Prevalence of malignancy</title>
<p>Among all thyroglobulin antibody (TgAb)-negative patients, the overall prevalence of FTC was 12.5% (49/392). A statistically significant positive correlation was observed between malignancy rates and serum Tg concentrations (Pearson&#x2019;s r = 0.176, p &lt; 0.001). Notably, the subgroup with Tg levels exceeding 409.18 &#x3bc;g/L manifested a substantially elevated FTC prevalence (20/98 20.41%, p = 0.002) when compared to patients with lower Tg concentrations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>).</p>
<p>Similarly, a proportional relationship was revealed between FTC prevalence and the Tg/Vol ratio (Pearson&#x2019;s r = 0.155, p = 0.002). Patients exhibiting a Tg/Vol ratio surpassing 20.68 similarly demonstrated a significantly higher malignancy rate (20/98 20.41%, p = 0.009) relative to other ratio subgroups (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>).</p>
</sec>
<sec id="s4_6">
<title>Diagnostic performance of multivariate model</title>
<p>ROC curves were constructed to evaluate the diagnostic performance of individual parameters (gender, CEUS features, Tg/Vol ratio) and their combined multifactorial model for distinguishing FTC (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Comparative analysis of the AUC revealed differential diagnostic efficacy among these approaches. The diagnostic value of CEUS features alone was marginally inferior to that of the Tg/Vol ratio alone. Notably, the multifactorial diagnostic model integrating Tg/Vol ratio with gender and CEUS features demonstrated superior performance (AUC 0.769) compared to any single-parameter approach, achieving 69.4% sensitivity and 77.0% specificity (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Decision curve analysis revealed the combined model conferred clinical utility in low-threshold ranges with maximum net benefit of 0.116, whereas the calibration curve demonstrated excellent probabilistic calibration (Brier=0.096). Notably, score distributions verified the model&#x2019;s efficacy in segregating typical benign cases (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;3</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>5</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Multivariable ROC curves of gender, CEUS features, Tg/Vol ratio, and the combined model for diagnosing FTC. The combined model refers to a multifactorial diagnostic model incorporating gender, CEUS features, and the Tg/Vol ratio.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1626766-g002.tif">
<alt-text content-type="machine-generated">ROC curve graph showing sensitivity versus 1-specificity for four models: combined model, Tg/Vol ratio, CEUS features, and gender. Each model is represented by different colored lines, showing varying performance levels.</alt-text>
</graphic>
</fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>ROC curve analysis and diagnostic performance.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">ROC curve</th>
<th valign="top" align="center">AUC</th>
<th valign="top" align="center">Cutoff Value</th>
<th valign="top" align="center">Sensitivity (%)</th>
<th valign="top" align="center">Specificity (%)</th>
<th valign="top" align="center">PPV (%)</th>
<th valign="top" align="center">NPV (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">0.643 (0.553 &#x2013; 0.733)</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">38.8</td>
<td valign="top" align="left">84.8</td>
<td valign="top" align="left">52.2</td>
<td valign="top" align="left">80.1</td>
</tr>
<tr>
<td valign="top" align="left">Ultrasonic features</td>
<td valign="top" align="left">0.625 (0.532 &#x2013; 0.717)</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">44.9</td>
<td valign="top" align="left">83.7</td>
<td valign="top" align="left">54.1</td>
<td valign="top" align="left">78.0</td>
</tr>
<tr>
<td valign="top" align="left">Tg/Vol ratio</td>
<td valign="top" align="left">0.664 (0.581 &#x2013; 0.748)</td>
<td valign="top" align="left">7.4129</td>
<td valign="top" align="left">79.6</td>
<td valign="top" align="left">51.6</td>
<td valign="top" align="left">41.3</td>
<td valign="top" align="left">45.4</td>
</tr>
<tr>
<td valign="top" align="left">Multifactorial diagnostic model</td>
<td valign="top" align="left">0.769 (0.698 &#x2013; 0.841)</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">69.4</td>
<td valign="top" align="left">77.0</td>
<td valign="top" align="left">56.4</td>
<td valign="top" align="left">67.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PPV, Positive predictive value; NPV, Negative predictive value.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>To our knowledge, our study represented the first large-scale investigation to establish the clinical validity of the Tg/tumor volume ratio as a novel, noninvasive biomarker for preoperative discrimination between FTA and FTC. This readily calculable parameter addressed a critical unmet need in thyroid oncology by providing both diagnostic and prognostic information prior to surgical intervention.</p>
<p>The clinical management of follicular thyroid neoplasms remains challenging due to persistent diagnostic uncertainties in the preoperative phase (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Current practice patterns revealed two concerning trends: excessive surgical intervention for benign disease (<xref ref-type="bibr" rid="B18">18</xref>), as Ra et&#xa0;al. reported that the rate of unnecessary surgeries for resected follicular tumors was approximately 26% (<xref ref-type="bibr" rid="B19">19</xref>); and delayed diagnosis of malignant cases, with substantial proportion of misclassified FTC cases presenting with distant metastases at definitive diagnosis (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). This diagnostic dilemma underscores the imperative for improved preoperative risk stratification tools.</p>
<p>The diagnostic value of serum Tg in preoperative differentiation of FTC remains controversial. While studies such as Chen et&#xa0;al. demonstrated correlations between serum Tg and FTC risk (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), inherent limitations persist. Recent studies reported that the existence of TgAb interferes with Tg measurement, compounded by the absence of standardized Tg thresholds (20 &#x2013; 30% variability across immunoassay methods) (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). These discrepancies suggest that although Tg reflects tumor secretory activity, its standalone diagnostic reliability remains suboptimal.</p>
<p>In TgAb-negative patients, our analysis revealed significantly higher preoperative serum Tg levels in FTC compared to FTA. However, multivariate analysis showed that Tg &gt; 217.5 &#x3bc;g/L lost statistical significance when adjusted for the Tg/Vol ratio. This implies that large FTA may elevate Tg levels via mass effect leading to false positives, while small FTC could exhibit high Tg/Vol ratio despite modest absolute Tg concentrations due to early invasive potential. Consequently, the Tg/Vol ratio emerges as a more stable biomarker.</p>
<p>The optimal Tg/Vol ratio cutoff was 7.412 (AUC = 0.664, sensitivity 79.6%, specificity 51.6%), with multivariate validation confirming its independent predictive value (OR = 3.508, p = 0.008). Notably, FTC prevalence increased significantly when the Tg/Vol ratio exceeded 8.07 (p = 0.0092). These findings advocate incorporating preoperative Tg/Vol ratio into surgical decision-making and surveillance protocols.</p>
<p>While the Tg/Vol ratio is not an independent diagnostic tool, it serves as a valuable triage tool that significantly enhances the accuracy of risk stratification and refines the diagnostic evaluation of thyroid follicular neoplasms. For lesions with indeterminate fine-needle aspiration (FNA) results, a low Tg/Vol ratio may obviate unnecessary diagnostic resection surgery. Conversely, an elevated Tg/Vol ratio suggests increased malignant potential, necessitating prompt surgical consultation. Furthermore, given the limited sensitivity of intraoperative frozen section analysis for detecting thyroid follicular carcinoma, cases exhibiting elevated Tg/Vol ratios in conjunction with suspicious malignant ultrasound features warrant consideration for extended surgical intervention. Postoperatively, serial monitoring of the Tg/Vol ratio also aids in the early detection of tumor recurrence in patients who have undergone partial thyroidectomy.</p>
<p>Serum Tg levels are influenced by multifactorial physiological, pathological, and technical determinants. Emerging evidence highlights iodine nutritional status as a pivotal modulator of Tg, with both deficiency and excess inducing elevation. Additional influencers include TSH, thyroiditis, thyroid medications, and assay variations, all of which may perturb Tg levels and thereby impact Tg/Vol ratios. Thus, interpretation of Tg/Vol values requires consideration of these confounders, with trend monitoring offering greater diagnostic utility than single measurements.</p>
<p>Contrary to studies linking thyroid cancer with elevated TSH, FT3, or FT4 levels, our cohort (excluding patients with acute or chronic thyroiditis) showed no independent predictive value for these markers (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). Regarding imaging, conventional CEUS features (irregular morphology, irregular margins, microcalcifications, and capsular invasion) correlated with FTC. The 2015 American Thyroid Association (ATA) management guidelines corroborate our finding that capsular involvement demonstrated the highest predictive strength (OR = 9.958, specificity 83.7%), aligning with intraoperative frozen-section accuracy and underscoring its potential as a diagnostic gold standard (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>The combined model integrating the Tg/Vol ratio with CEUS features achieved superior diagnostic balance (AUC = 0.769, representing a 12.1% improvement over individual metrics), with sensitivity 69.4% and specificity 77.0%. Suboptimal positive and negative predictive values may reflect our study&#x2019;s relatively low FTC prevalence. Additionally, decision curve and calibration curve analyses showed the model excelled in predictive probability (Brier=0.096), low-threshold clinical value with the max net benefit of 11.6%, and typical benign case identification. Its main limitation was conservative malignant predictions, failing to reliably identify high-risk patients&#x2014;attributed to dataset imbalance from insufficient positive cases. This highlights the need for future studies to collect more malignant cases for dataset balancing and develop risk stratification strategies accordingly.</p>
<p>Several limitations in our study should be mentioned. First, the single-center retrospective design precluded longitudinal assessment of thyroid functiondata. Second, while TgAb exclusion strengthened internal validity, it introduced selection bias with implications for real-world applicability. Additionally, volumetric estimations derived from CEUS-acquired linear dimensions may not fully capture true tumor geometry, particularly for subcentimeter nodules.</p>
<p>To further validate the clinical utility, future studies should employ three-dimensional CEUS reconstruction technology to improve volumetric measurement accuracy (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>), complemented with artificial intelligence (AI) -assisted ultrasound to characterize FTC-specific vascular patterns (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). Propose specific alternative biomarkers or adjusted algorithms should be proposed to determine true Tg levels in TgAb-positive cases. Furthermore, prospective multicenter studies are planned to further refine the diagnostic model, thereby contributing robust evidence toward the precision diagnostic criteria for thyroid follicular neoplasms.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In summary, our study suggested that the Tg/Vol ratio &gt; 7.412 as a clinically useful preoperative discriminator for FTC. The combined diagnostic model incorporating CEUS characteristics significantly improves diagnostic accuracy, mitigating risks of misdiagnosis in thyroid follicular neoplasms.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Review Board and Ethics Committee of West China Hospital. The&#xa0;studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because This is a retrospective study, and written consent could not be obtained from all patients.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>XZ: Data curation, Writing &#x2013; original draft. FL: Data curation, Writing &#x2013; original draft. JL: Writing &#x2013; review &amp; editing, Conceptualization, Funding acquisition. ZL: Resources, Supervision, Writing &#x2013; review &amp; editing. YM: Conceptualization, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research is supported by National Natural Science Foundation of China (82403761).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank the participants of the study and all the study staff for their contributions.</p>
</ack>
<sec id="s10" 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>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2025.1626766/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2025.1626766/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>AUC, Area under the curve; CEUS, Contrast-enhanced ultrasound; CI, Confidence interval; FTA, Follicular thyroid adenoma; FTC, Follicular thyroid carcinoma; FT-UMP, Follicular tumor of uncertain malignant potential; FT3, Free triiodothyronine; FT4, Free thyroxine; MTC, Medullary thyroid carcinoma; NIFTP, Noninvasive follicular thyroid neoplasm with papillary-like nuclear features; OR, Odds ratio; PTC, Papillary thyroid carcinoma; ROC, Receiver operating characteristic; Tg, Thyroglobulin; TgAb, Thyroglobulin antibodies; Tg/Vol ratio, Serum thyroglobulin-to-tumor volume ratio; TPOAb, Thyroid peroxidase antibodies; TRAb, Thyroid-stimulating hormone receptor antibodies; TSH, Thyroid-stimulating hormone.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sobrinho-Sim&#xf5;es</surname> <given-names>M</given-names>
</name>
<name>
<surname>Eloy</surname> <given-names>C</given-names>
</name>
<name>
<surname>Magalh&#xe3;es</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lobo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Amaro</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Follicular thyroid carcinoma</article-title>. <source>Mod Pathol</source>. (<year>2011</year>) <volume>24 Suppl 2</volume>:<page-range>S10&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/modpathol.2010.133</pub-id>, PMID: <pub-id pub-id-type="pmid">21455197</pub-id></citation></ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gharib</surname> <given-names>H</given-names>
</name>
<name>
<surname>Goellner</surname> <given-names>JR</given-names>
</name>
</person-group>. <article-title>Fine-needle aspiration biopsy of the thyroid: an appraisal</article-title>. <source>Ann Intern Med</source>. (<year>1993</year>) <volume>118</volume>:<page-range>282&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7326/0003-4819-118-4-199302150-00007</pub-id>, PMID: <pub-id pub-id-type="pmid">8420446</pub-id></citation></ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kuo</surname> <given-names>TC</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>KY</given-names>
</name>
<name>
<surname>Hsieh</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>A</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>CN</given-names>
</name>
</person-group>. <article-title>Ultrasonographic features for differentiating follicular thyroid carcinoma and follicular adenoma</article-title>. <source>Asian J Surg</source>. (<year>2020</year>) <volume>43</volume>:<page-range>339&#x2013;46</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.asjsur.2019.04.016</pub-id>, PMID: <pub-id pub-id-type="pmid">31182260</pub-id></citation></ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grani</surname> <given-names>G</given-names>
</name>
<name>
<surname>Lamartina</surname> <given-names>L</given-names>
</name>
<name>
<surname>Durante</surname> <given-names>C</given-names>
</name>
<name>
<surname>Filetti</surname> <given-names>S</given-names>
</name>
<name>
<surname>Cooper</surname> <given-names>DS</given-names>
</name>
</person-group>. <article-title>Follicular thyroid cancer and H&#xfc;rthle cell carcinoma: challenges in diagnosis, treatment, and clinical management</article-title>. <source>Lancet Diabetes Endocrinol</source>. (<year>2018</year>) <volume>6</volume>:<page-range>500&#x2013;14</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s2213-8587(17)30325-x</pub-id>, PMID: <pub-id pub-id-type="pmid">29102432</pub-id></citation></ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Russ</surname> <given-names>G</given-names>
</name>
<name>
<surname>Bonnema</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Erdogan</surname> <given-names>MF</given-names>
</name>
<name>
<surname>Durante</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ngu</surname> <given-names>R</given-names>
</name>
<name>
<surname>Leenhardt</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>European thyroid association guidelines for ultrasound Malignancy risk stratification of thyroid nodules in adults: the EU-TIRADS</article-title>. <source>Eur Thyroid J</source>. (<year>2017</year>) <volume>6</volume>:<page-range>225&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1159/000478927</pub-id>, PMID: <pub-id pub-id-type="pmid">29167761</pub-id></citation></ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>X</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>P</given-names>
</name>
<name>
<surname>Cang</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>US risk stratification system for follicular thyroid neoplasms</article-title>. <source>Radiology</source>. (<year>2023</year>) <volume>309</volume>:<elocation-id>e230949</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1148/radiol.230949</pub-id>, PMID: <pub-id pub-id-type="pmid">37987664</pub-id></citation></ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feldkamp</surname> <given-names>J</given-names>
</name>
<name>
<surname>F&#xfc;hrer</surname> <given-names>D</given-names>
</name>
<name>
<surname>Luster</surname> <given-names>M</given-names>
</name>
<name>
<surname>Musholt</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Spitzweg</surname> <given-names>C</given-names>
</name>
<name>
<surname>Schott</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Fine needle aspiration in the investigation of thyroid nodules</article-title>. <source>Dtsch Arztebl Int</source>. (<year>2016</year>) <volume>113</volume>:<page-range>353&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3238/arztebl.2016.0353</pub-id>, PMID: <pub-id pub-id-type="pmid">27294815</pub-id></citation></ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Trimboli</surname> <given-names>P</given-names>
</name>
<name>
<surname>Mian</surname> <given-names>C</given-names>
</name>
<name>
<surname>Piccardo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Treglia</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Diagnostic tests for medullary thyroid carcinoma: an umbrella review</article-title>. <source>Endocrine</source>. (<year>2023</year>) <volume>81</volume>:<page-range>183&#x2013;93</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12020-023-03326-6</pub-id>, PMID: <pub-id pub-id-type="pmid">36877452</pub-id></citation></ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamazaki</surname> <given-names>H</given-names>
</name>
<name>
<surname>Sugino</surname> <given-names>K</given-names>
</name>
<name>
<surname>Katoh</surname> <given-names>R</given-names>
</name>
<name>
<surname>Matsuzu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kitagawa</surname> <given-names>W</given-names>
</name>
<name>
<surname>Nagahama</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Management of follicular thyroid carcinoma</article-title>. <source>Eur Thyroid J</source>. (<year>2024</year>) <volume>13</volume>(<issue>5</issue>):<fpage>e240146</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1530/etj-24-0146</pub-id>, PMID: <pub-id pub-id-type="pmid">39419099</pub-id></citation></ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lai</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>P</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>The utility of serum anti-thyroglobulin antibody and thyroglobulin in the preoperative differential diagnosis of thyroid follicular neoplasms</article-title>. <source>Endocrine</source>. (<year>2022</year>) <volume>76</volume>:<page-range>369&#x2013;76</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12020-022-02993-1</pub-id>, PMID: <pub-id pub-id-type="pmid">35112214</pub-id></citation></ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>HJ</given-names>
</name>
<name>
<surname>Mok</surname> <given-names>JO</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Park</surname> <given-names>HK</given-names>
</name>
<etal/>
</person-group>. <article-title>Preoperative serum thyroglobulin and changes in serum thyroglobulin during TSH suppression independently predict follicular thyroid carcinoma in thyroid nodules with a cytological diagnosis of follicular lesion</article-title>. <source>Endocr Res</source>. (<year>2017</year>) <volume>42</volume>:<page-range>154&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/07435800.2016.1262395</pub-id>, PMID: <pub-id pub-id-type="pmid">27936964</pub-id></citation></ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Berli&#x144;ska</surname> <given-names>A</given-names>
</name>
<name>
<surname>&#x15a;wi&#x105;tkowska-Stodulska</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Clinical use of thyroglobulin: not only thyroid cancer</article-title>. <source>Endocrine</source>. (<year>2024</year>) <volume>84</volume>:<page-range>786&#x2013;99</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12020-023-03658-3</pub-id>, PMID: <pub-id pub-id-type="pmid">38182855</pub-id></citation></ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nishihara</surname> <given-names>E</given-names>
</name>
<name>
<surname>Hobo</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Miyauchi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ito</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Higuchi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hirokawa</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Serum thyroglobulin evaluation on LC-MS/MS and immunoassay in TgAb-positive patients with papillary thyroid carcinoma</article-title>. <source>Eur Thyroid J</source>. (<year>2022</year>) <volume>11</volume>(<issue>1</issue>):<fpage>e210041.</fpage> doi:&#xa0;<pub-id pub-id-type="doi">10.1530/etj-21-0041</pub-id>, PMID: <pub-id pub-id-type="pmid">34981756</pub-id></citation></ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Giovanella</surname> <given-names>L</given-names>
</name>
<name>
<surname>D'Aurizio</surname> <given-names>F</given-names>
</name>
<name>
<surname>Algeciras-Schimnich</surname> <given-names>A</given-names>
</name>
<name>
<surname>G&#xf6;rges</surname> <given-names>R</given-names>
</name>
<name>
<surname>Petranovic Ovcaricek</surname> <given-names>P</given-names>
</name>
<name>
<surname>Tuttle</surname> <given-names>RM</given-names>
</name>
<etal/>
</person-group>. <article-title>Thyroglobulin and thyroglobulin antibody: an updated clinical and laboratory expert consensus</article-title>. <source>Eur J Endocrinol</source>. (<year>2023</year>) <volume>189</volume>:<fpage>R11</fpage>&#x2013;<lpage>r27</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ejendo/lvad109</pub-id>, PMID: <pub-id pub-id-type="pmid">37625447</pub-id></citation></ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tuttle</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Fagin</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Minkowitz</surname> <given-names>G</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Roman</surname> <given-names>B</given-names>
</name>
<name>
<surname>Patel</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Natural history and tumor volume kinetics of papillary thyroid cancers during active surveillance</article-title>. <source>JAMA Otolaryngol Head Neck Surg</source>. (<year>2017</year>) <volume>143</volume>:<page-range>1015&#x2013;20</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoto.2017.1442</pub-id>, PMID: <pub-id pub-id-type="pmid">28859191</pub-id></citation></ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alexander</surname> <given-names>EK</given-names>
</name>
<name>
<surname>Cibas</surname> <given-names>ES</given-names>
</name>
</person-group>. <article-title>Diagnosis of thyroid nodules</article-title>. <source>Lancet Diabetes Endocrinol</source>. (<year>2022</year>) <volume>10</volume>:<page-range>533&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s2213-8587(22)00101-2</pub-id>, PMID: <pub-id pub-id-type="pmid">35752200</pub-id></citation></ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nabhan</surname> <given-names>F</given-names>
</name>
<name>
<surname>Dedhia</surname> <given-names>PH</given-names>
</name>
<name>
<surname>Ringel</surname> <given-names>MD</given-names>
</name>
</person-group>. <article-title>Thyroid cancer, recent advances in diagnosis and therapy</article-title>. <source>Int J Cancer</source>. (<year>2021</year>) <volume>149</volume>(<issue>5</issue>):<fpage>984</fpage>&#x2013;<lpage>992</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ijc.33690</pub-id>, PMID: <pub-id pub-id-type="pmid">34013533</pub-id></citation></ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Conzo</surname> <given-names>G</given-names>
</name>
<name>
<surname>Cal&#xf2;</surname> <given-names>PG</given-names>
</name>
<name>
<surname>Gambardella</surname> <given-names>C</given-names>
</name>
<name>
<surname>Tartaglia</surname> <given-names>E</given-names>
</name>
<name>
<surname>Mauriello</surname> <given-names>C</given-names>
</name>
<name>
<surname>Della Pietra</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Controversies in the surgical management of thyroid follicular neoplasms. Retrospective analysis of 721 patients</article-title>. <source>Int J Surg</source>. (<year>2014</year>) <volume>12 Suppl 1</volume>:<page-range>S29&#x2013;34</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ijsu.2014.05.013</pub-id>, PMID: <pub-id pub-id-type="pmid">24859409</pub-id></citation></ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yoon</surname> <given-names>RG</given-names>
</name>
<name>
<surname>Baek</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Hong</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Song</surname> <given-names>DE</given-names>
</name>
<etal/>
</person-group>. <article-title>Diagnosis of thyroid follicular neoplasm: fine-needle aspiration versus core-needle biopsy</article-title>. <source>Thyroid</source>. (<year>2014</year>) <volume>24</volume>:<page-range>1612&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/thy.2014.0140</pub-id>, PMID: <pub-id pub-id-type="pmid">25089716</pub-id></citation></ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Ghossein</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Encapsulated thyroid carcinoma of follicular cell origin</article-title>. <source>Endocr Pathol</source>. (<year>2015</year>) <volume>26</volume>:<page-range>191&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12022-015-9376-5</pub-id>, PMID: <pub-id pub-id-type="pmid">26003547</pub-id></citation></ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bischoff</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Ganly</surname> <given-names>I</given-names>
</name>
<name>
<surname>Fugazzola</surname> <given-names>L</given-names>
</name>
<name>
<surname>Buczek</surname> <given-names>E</given-names>
</name>
<name>
<surname>Faquin</surname> <given-names>WC</given-names>
</name>
<name>
<surname>Haugen</surname> <given-names>BR</given-names>
</name>
<etal/>
</person-group>. <article-title>Molecular alterations and comprehensive clinical management of oncocytic thyroid carcinoma: A review and multidisciplinary 2023 update</article-title>. <source>JAMA Otolaryngol Head Neck Surg</source>. (<year>2024</year>) <volume>150</volume>:<page-range>265&#x2013;72</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoto.2023.4323</pub-id>, PMID: <pub-id pub-id-type="pmid">38206595</pub-id></citation></ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ren</surname> <given-names>C</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>F</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>The role of thyroglobulin in preoperative and postoperative evaluation of patients with differentiated thyroid cancer</article-title>. <source>Front Endocrinol (Lausanne)</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>872527</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2022.872527</pub-id>, PMID: <pub-id pub-id-type="pmid">35721746</pub-id></citation></ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>H</given-names>
</name>
<name>
<surname>Park</surname> <given-names>SY</given-names>
</name>
<name>
<surname>Choe</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Hahn</surname> <given-names>SY</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>SW</given-names>
</name>
<etal/>
</person-group>. <article-title>Preoperative serum thyroglobulin and its correlation with the burden and extent of differentiated thyroid cancer</article-title>. <source>Cancers (Basel)</source>. (<year>2020</year>) <volume>12</volume>
<issue>(3)</issue>:<fpage>625</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers12030625</pub-id>, PMID: <pub-id pub-id-type="pmid">32182688</pub-id></citation></ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hoofnagle</surname> <given-names>AN</given-names>
</name>
<name>
<surname>Roth</surname> <given-names>MY</given-names>
</name>
</person-group>. <article-title>Clinical review: improving the measurement of serum thyroglobulin with mass spectrometry</article-title>. <source>J Clin Endocrinol Metab</source>. (<year>2013</year>) <volume>98</volume>:<page-range>1343&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/jc.2012-4172</pub-id>, PMID: <pub-id pub-id-type="pmid">23450057</pub-id></citation></ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Netzel</surname> <given-names>BC</given-names>
</name>
<name>
<surname>Grebe</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Carranza Leon</surname> <given-names>BG</given-names>
</name>
<name>
<surname>Castro</surname> <given-names>MR</given-names>
</name>
<name>
<surname>Clark</surname> <given-names>PM</given-names>
</name>
<name>
<surname>Hoofnagle</surname> <given-names>AN</given-names>
</name>
<etal/>
</person-group>. <article-title>Thyroglobulin (Tg) testing revisited: tg assays, tgAb assays, and correlation of results with clinical outcomes</article-title>. <source>J Clin Endocrinol Metab</source>. (<year>2015</year>) <volume>100</volume>:<page-range>E1074&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/jc.2015-1967</pub-id>, PMID: <pub-id pub-id-type="pmid">26079778</pub-id></citation></ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fiore</surname> <given-names>E</given-names>
</name>
<name>
<surname>Vitti</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>Serum TSH and risk of papillary thyroid cancer in nodular thyroid disease</article-title>. <source>J Clin Endocrinol Metab</source>. (<year>2012</year>) <volume>97</volume>:<page-range>1134&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/jc.2011-2735</pub-id>, PMID: <pub-id pub-id-type="pmid">22278420</pub-id></citation></ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>TH</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>MY</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>SH</given-names>
</name>
</person-group>. <article-title>The association between serum concentration of thyroid hormones and thyroid cancer: a cohort study</article-title>. <source>Endocr Relat Cancer</source>. (<year>2022</year>) <volume>29</volume>:<page-range>635&#x2013;44</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1530/erc-22-0094</pub-id>, PMID: <pub-id pub-id-type="pmid">36053903</pub-id></citation></ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>L</given-names>
</name>
<name>
<surname>Teng</surname> <given-names>D</given-names>
</name>
<name>
<surname>Teng</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>The relationship between thyrotropin serum concentrations and thyroid carcinoma</article-title>. <source>Cancers (Basel)</source>. (<year>2023</year>) <volume>15</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers15205017</pub-id>, PMID: <pub-id pub-id-type="pmid">37894384</pub-id></citation></ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Haugen</surname> <given-names>BR</given-names>
</name>
<name>
<surname>Alexander</surname> <given-names>EK</given-names>
</name>
<name>
<surname>Bible</surname> <given-names>KC</given-names>
</name>
<name>
<surname>Doherty</surname> <given-names>GM</given-names>
</name>
<name>
<surname>Mandel</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Nikiforov</surname> <given-names>YE</given-names>
</name>
<etal/>
</person-group>. <article-title>2015 American thyroid association management guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: the american thyroid association guidelines task force on thyroid nodules and differentiated thyroid cancer</article-title>. <source>Thyroid</source>. (<year>2016</year>) <volume>26</volume>:<fpage>1</fpage>&#x2013;<lpage>133</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/thy.2015.0020</pub-id>, PMID: <pub-id pub-id-type="pmid">26462967</pub-id></citation></ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Bian</surname> <given-names>D</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>P</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Diagnostic accuracy of contrast-enhanced ultrasonography in papillary thyroid microcarcinoma stratified by size</article-title>. <source>Ultrasound Med Biol</source>. (<year>2020</year>) <volume>46</volume>:<page-range>269&#x2013;74</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ultrasmedbio.2019.10.001</pub-id>, PMID: <pub-id pub-id-type="pmid">31703968</pub-id></citation></ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>N</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Multimodal GPT model for assisting thyroid nodule diagnosis and management</article-title>. <source>NPJ Digit Med</source>. (<year>2025</year>) <volume>8</volume>:<fpage>245</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41746-025-01652-9</pub-id>, PMID: <pub-id pub-id-type="pmid">40319170</pub-id></citation></ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Peng</surname> <given-names>S</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lv</surname> <given-names>W</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicenter diagnostic study</article-title>. <source>Lancet Digit Health</source>. (<year>2021</year>) <volume>3</volume>:<page-range>e250&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s2589-7500(21)00041-8</pub-id>, PMID: <pub-id pub-id-type="pmid">33766289</pub-id></citation></ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Xiong</surname> <given-names>J</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>B</given-names>
</name>
<etal/>
</person-group>. <article-title>AI diagnosis of Bethesda category IV thyroid nodules</article-title>. <source>iScience</source>. (<year>2023</year>) <volume>26</volume>:<elocation-id>108114</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.isci.2023.108114</pub-id>, PMID: <pub-id pub-id-type="pmid">37867955</pub-id></citation></ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>AI-generated content enhanced computer-aided diagnosis model for thyroid nodules: A chatGPT-style assistant</article-title>. <source>arXiv</source>. (<year>2024</year>). doi:&#xa0;<pub-id pub-id-type="doi">10.48550/arXiv.2402.02401</pub-id>
</citation></ref>
</ref-list>
</back>
</article>