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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2024.1474531</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ultrasound versus computed tomography guided percutaneous needle biopsy for subpleural pulmonary lesions</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Yaoyao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</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/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xuhong</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-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Han</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Shengmin</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/2807100"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Ultrasound Medicine, The First Affiliated Hospital of Ningbo University</institution>, <addr-line>Ningbo, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Interventional Radiology, The First Affiliated Hospital of Ningbo University</institution>, <addr-line>Ningbo, Zhejiang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Rocco Trisolini, Agostino Gemelli University Polyclinic (IRCCS), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Marco Sperandeo, Home for Relief of Suffering (IRCCS), Italy</p>
<p>Leonello Fuso, Catholic University of the Sacred Heart, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Shengmin Zhang, <email xlink:href="mailto:fyyzhangshengmin@nbu.edu.cn">fyyzhangshengmin@nbu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1474531</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhou, Wang, Han and Zhang</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhou, Wang, Han and Zhang</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>Background</title>
<p>Sub-pleural pulmonary lesions (SPLs) can be diagnosed by percutaneous needle biopsy (PNB) guided by both computed tomography (CT) and ultrasound (US). This investigation aims to compare the diagnostic accuracy and safety between US- and CT-guided PNB for SPLs.</p>
</sec>
<sec>
<title>Methods</title>
<p>This retrospective study analyzed SPL patients who underwent CT- or US-guided PNB in our hospital between January 2022 to January 2023. Furthermore, the technical success rates, duration of procedure, diagnostic yield, diagnostic accuracy, pneumothorax rates, and hemoptysis rates were compared between the 2 groups. Pneumothorax risk factors were assessed via the univariate and multivariate logistic regression tests.</p>
</sec>
<sec>
<title>Results</title>
<p>The data indicated that 213 patients who underwent CT- (n = 108) or US-guided (n = 105) PNB diagnosis had SPLs at the final diagnosis. Furthermore, both groups indicated similar operation times (20.1 &#xb1; 8.1&#xa0;min <italic>vs.</italic> 19.9 &#xb1; 6.9&#xa0;min, <italic>p =</italic> 0.793). The diagnostic accuracy and yield of the US group were 100% and 64.8%, respectively, whereas those of the CT group were 99.1% and 72.2%, respectively. Moreover, no significant differences were observed in diagnostic accuracy (<italic>p =</italic> 1.000) and diagnostic yield (<italic>p =</italic> 0.561) between the 2 groups. The CT group indicated markedly higher rates of chest tube insertion (6.5% <italic>vs.</italic> 0.0%, <italic>p =</italic> 0.014) and pneumothorax (24.1% <italic>vs.</italic> 1.9%, <italic>p =</italic> 0.001) than the US group. However, the hemoptysis rates were comparable between the 2 groups (2.7% <italic>vs.</italic> 2.9%, <italic>p =</italic> 1.000). In addition, CT guidance was the independent risk factor of pneumothorax (<italic>p =</italic> 0.003).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>In summary, this research indicated that both US- and CT-guided PNB have high diagnostic accuracy for SPLs. However, US guidance may provide better safety than CT guidance.</p>
</sec>
</abstract>
<kwd-group>
<kwd>computed tomography</kwd>
<kwd>ultrasound</kwd>
<kwd>biopsy</kwd>
<kwd>sub-pleural lesions</kwd>
<kwd>pulmonary</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="7"/>
<word-count count="3190"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Imaging and Image-directed Interventions</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Peripheral pulmonary lesions are most frequently diagnosed <italic>via</italic> percutaneous needle biopsy (PNB) (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Computed tomography (CT) is employed as guidance equipment because of the spatial resolution. It has been observed that CT-guided PNB is an efficient procedure with a high diagnostic rate (92 - 98%) (<xref ref-type="bibr" rid="B4">4</xref>); however, in addition to radiation exposure, it has also been linked with high complication rates. Moreover, 20 - 22% of cases suffer from the incidence of post-procedural pneumothorax (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Ultrasound (US)-guided PNB is usually used for diagnosing solid organ lesions, such as in the liver, prostate, thyroid, kidney, and breast (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). For pulmonary lesions, US-guided PNB is not commonly used because it is influenced by gas. However, the US-guided PNB can be used for the sub-pleural pulmonary lesions (SPLs) strickly adherent to pleural surface because these lesions are not or slightly influenced by the gas. The US-guided PNB has advantages over CT guidance, such as real-time biopsy needles and target lesion visualization during the procedure and the lack of radiation exposure (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Therefore, this investigation aimed to compare the diagnostic accuracy and safety between US- and CT-guided PNB for SPLs.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study design</title>
<p>This retrospective research was authorized by the ethical board of the First Affiliated Hospital of Ningbo University. Because of the retrospective nature of this study, the requirement of informed consent was waived. This investigation included SPL patients who underwent CT- or US-guided PNB in our hospital between January 2022 to January 2023. The inclusion criteria included patients (a) with SPLs strictly adherent to pleural surface, (b) with solid SPLs, and (c) with a high risk for lung cancer based on clinical/radiology characteristics (<xref ref-type="bibr" rid="B3">3</xref>). The exclusion parameters were: (a) patients who underwent PNB previously, (b) SPLs that reduced in size during follow-up, (c) SPLs that were completely blocked by the bone, and (d) patients with chronic cardiac, renal, pulmonary, or coagulatory disorders.</p>
</sec>
<sec id="s2_2">
<title>CT-guided PNB</title>
<p>The 16 Slice CT (Siemens, Berlin, Germany) was employed for CT-guided PNB. The CT-guided PNB was performed by 2 radiologists with more than 5 and 10 years of experience for lung biopsy. The set parameters were: 100 mA tube current, 120 kV tube voltage, 0.6 second gantry rotation time, 2&#xa0;mm thickness, and 1.1 pitch. The patient&#x2019;s position and needle paths were based on the lesion&#x2019;s location (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). During the procedure, the co-axial technique was employed. The lesion samples were harvested by inserting A 17G outer needle (DuoSmart&#x2122;, Modena, Italy) into the lesions, followed by the insertion of an 18G inner semi-automatic core needle (Wego&#x2122;, Weihai, China) <italic>via</italic> the outer needle (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). From each lesion, more than 2 samples were acquired, which were then preserved in 10% formaldehyde for pathological assessment. In addition, the cell blocks were also prepared for cytology assessment. The biopsy procedure-related complications were assessed by a repeat CT scan. The histo-cytological diagnoses were made by two pathologists with 5 and 10 years expertise in lung cancer.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> The preoperative CT showed the SPL at left upper lobe. <bold>(B)</bold> The CT-guided PNB procedure.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1474531-g001.tif"/>
</fig>
</sec>
<sec id="s2_3">
<title>Ultrasound-guided PNB</title>
<p>For the US-guided PNB, a US system (Philips, EPIQ7) with the convex array probe C5-1 was routinely employed. The US-guided PNB was performed by 2 radiologists with more than 5 and 10 years of experience for lung biopsy. The parameters of the US were: (a) depth: 10-13&#xa0;cm; (b) time gain compensation: time gain compensation curve is adjusted for the shape of &#x201c;|&#x201d; or &#x201c;&#x201d;; (c) focus pointe: the focus pointe was set in the midfield zone. The tissue harmonic imaging was activated. The probe was equipped with a holed guide for needle insertion of various angle selections based on the lesions&#x2019; size and locations. For the small lesions (1-2&#xa0;cm), we used a high frequency probe (eL18-4) to guide the PNB because the high frequency probe could provide a high image resolution. The patient&#x2019;s position was decided in advance <italic>via</italic> the safest and shortest approach to visualize the US probe&#x2019;s movement (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The biopsy needle path toward the lesion was visualized in real time (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The PNB procedure was same as the that for the CT group. The biopsy procedure-related complications were assessed by a chest CT scan. The histo-cytological diagnoses were made by two pathologists with 5 and 10 years expertise in lung cancer.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> The preoperative CT showed the SPL at left lower lobe. <bold>(B)</bold> The US-guided PNB procedure.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1474531-g002.tif"/>
</fig>
</sec>
<sec id="s2_4">
<title>Assessment</title>
<p>The PNB-based diagnoses can be categorized into 4 types: (a) Suspected malignancy (described as atypical cells suspected of indicated malignancy) (<xref ref-type="bibr" rid="B9">9</xref>), (b) Malignancy, (c) Non-specific benignity (defined as benign pathology features that existed through and did not suffice for a formal diagnosis) (<xref ref-type="bibr" rid="B9">9</xref>), and (d) Specific benignity (described as lesions that were related to specific infectious diseases or benign tumors) (<xref ref-type="bibr" rid="B9">9</xref>). The PNB-based specific benignity and malignancy can be considered as the final diagnoses. However, the PNB-based non-specific benignity and suspected malignancy should be assessed further, such as by repeat biopsy, surgical resection, or CT follow-up. If the lesion size is reduced (&#x2265; 20%) during the follow-up or is maintained (&lt; 20%) for at least 1 year, it could be accepted as benignity (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>At the final diagnosis, when PNB-based malignancy/suspected malignancy was confirmed as malignant the results were considered true positive (<xref ref-type="bibr" rid="B1">1</xref>). Whereas, when PNB-based benignity was confirmed as benignity at the final diagnosis the results were considered true negative (<xref ref-type="bibr" rid="B1">1</xref>). Diagnostic accuracy = (true positive + true negative)/all cases. Diagnostic yield = (PNB-based malignancy + PNB-based specific benignity)/all cases.</p>
<p>The PNB-related complications were classified as minor and major complications according to the Society of Cardiovascular &amp; Interventional Radiology guidelines (<xref ref-type="bibr" rid="B10">10</xref>).</p>
</sec>
<sec id="s2_5">
<title>Statistical analyses</title>
<p>The not normally distributed and normally distributed continuous data were compared <italic>via</italic> the Mann-Whitney U test and the independent sample t-test, respectively. &#x3c7;<sup>2</sup>/Fisher exact test was carried out to compare categorical data. Pneumothorax risk factors were assessed <italic>via</italic> univariate and multivariate logistic regression tests. The variables which exhibited a <italic>p-value</italic> &lt; 0.1 in univariate analyses would be included in the multivariate analysis. The subgroup analyses were conducted based on the patients with lung nodules. SPSS 16.0 (SPSS, Chicago, Illinois, USA) was employed for all the statistical measurements and statistically, the <italic>p-value of &lt; 0.05</italic> was deemed as the significance threshold.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patients</title>
<p>This research included 213 patients who underwent CT- (n = 108) or US-guided (n = 105) PNB diagnosis and had SPLs at the final diagnosis (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Furthermore, both groups indicated similar operation times (20.1 &#xb1; 8.1&#xa0;min <italic>vs.</italic> 19.9 &#xb1; 6.9&#xa0;min, <italic>p =</italic> 0.793), respectively.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline data of the patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">CT group (n = 108)</th>
<th valign="top" align="center">US group (n = 105)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="4" align="left">Normal data</th>
</tr>
<tr>
<td valign="top" align="center">Age (y)</td>
<td valign="top" align="center">65.1 &#xb1; 12.4</td>
<td valign="top" align="center">67.7 &#xb1; 13.0</td>
<td valign="top" align="center">0.128</td>
</tr>
<tr>
<td valign="top" align="center">Gender (male/female)</td>
<td valign="top" align="center">72/36</td>
<td valign="top" align="center">77/28</td>
<td valign="top" align="center">0.289</td>
</tr>
<tr>
<td valign="top" align="center">Smoking history</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">0.776</td>
</tr>
<tr>
<td valign="top" align="center">Emphysema</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="center">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">22.4 &#xb1; 3.3</td>
<td valign="top" align="center">22.3 &#xb1; 3.7</td>
<td valign="top" align="center">0.954</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Imaging feature</th>
</tr>
<tr>
<td valign="top" align="center">Size (mm)</td>
<td valign="top" align="center">27.8 (Q1: 16.6; Q3: 39.9)</td>
<td valign="top" align="center">35.5 (Q1: 26.5; Q3: 53.0)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="center">Lung (left/right)</td>
<td valign="top" align="center">53/55</td>
<td valign="top" align="center">46/59</td>
<td valign="top" align="center">0.441</td>
</tr>
<tr>
<td valign="top" align="center">Lobe (upper/non-upper)</td>
<td valign="top" align="center">70/38</td>
<td valign="top" align="center">74/31</td>
<td valign="top" align="center">0.377</td>
</tr>
<tr>
<td valign="top" align="center">Pleural effusion</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">0.189</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Biopsy procedure</th>
</tr>
<tr>
<td valign="top" align="center">Needle- pleura angle (degrees)</td>
<td valign="top" align="center">65.3 &#xb1; 17.9</td>
<td valign="top" align="center">55.0 &#xb1; 13.0</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="center">Prone/Supine/Decubitus</td>
<td valign="top" align="center">77/27/4</td>
<td valign="top" align="center">6/76/23</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="center">Number of samples</td>
<td valign="top" align="center">2.3 &#xb1; 0.6</td>
<td valign="top" align="center">2.6 &#xb1; 0.8</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="center">Pneumothorax</td>
<td valign="top" align="center">26 (24.1%)</td>
<td valign="top" align="center">2 (1.9%)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="center">Hemoptysis</td>
<td valign="top" align="center">3 (2.7%)</td>
<td valign="top" align="center">3 (2.9%)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Complications required chest tube</td>
<td valign="top" align="center">7 (6.5%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="center">Duration of procedure (min)</td>
<td valign="top" align="center">20.1 &#xb1; 8.1</td>
<td valign="top" align="center">19.9 &#xb1; 6.9</td>
<td valign="top" align="center">0.793</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; CT, computed tomography; US, ultrasound.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Diagnostic performance</title>
<p>In the CT group, the PNB-based diagnoses included specific benignity (n = 4), malignancy (n = 74), and non-specific benignity (n = 30). Whereas the final diagnoses included benignity (n = 33) and malignancy (n = 75). <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table</bold>
</xref> indicates the details of the final diagnoses. The diagnostic accuracy and yield were 99.1% and 72.2%, respectively (<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>Diagnostic performance between 2 groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">CT group</th>
<th valign="top" align="center">US group</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Technical success rate</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left">Biopsy pathological <break/>diagnosis</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">0.073</th>
</tr>
<tr>
<td valign="top" align="center">Malignancy</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Suspected malignancy</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Specific benign</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Non-specific benign</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left">Final diagnosis</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">0.561</th>
</tr>
<tr>
<td valign="top" align="center">Malignancy</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Benign</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Diagnostic performance</th>
</tr>
<tr>
<td valign="top" align="center">Diagnostic yield</td>
<td valign="top" align="center">78/108 (72.2%)</td>
<td valign="top" align="center">68/105 (64.8%)</td>
<td valign="top" align="center">0.561</td>
</tr>
<tr>
<td valign="top" align="center">Overall accuracy</td>
<td valign="top" align="center">107/108 (99.1%)</td>
<td valign="top" align="center">105/105 (100%)</td>
<td valign="top" align="center">1.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CT, computed tomography; US, ultrasound.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In the US group, the PNB-based diagnoses included specific benignity (n = 5), suspected malignancy (n = 6), malignancy (n&#xa0;=&#xa0;63), and non-specific benignity (n = 31). The final diagnoses included benignity (n = 36) and malignancy (n = 69). <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table</bold>
</xref> indicates the details of the final diagnoses. The diagnostic accuracy and yield were 100% and 64.8%, respectively (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>The rates of diagnostic accuracy and yield were comparable in both groups (<italic>p =</italic> 0.561 and 1.000).</p>
</sec>
<sec id="s3_3">
<title>Complications</title>
<p>In the CT group, 26 patients (24.1%) experienced pneumothorax, while 3 patients (2.7%) suffered hemoptysis. Furthermore, of 26 patients, 7 required chest tube insertion. In the US group, 2 patients (1.9%) experienced pneumothorax, 3 (2.9%) experienced hemoptysis, and none required chest tube insertion. In comparison with the US group, the CT group indicated markedly increased rates of chest tube insertion (<italic>p =</italic> 0.014) and pneumothorax (<italic>p =</italic> 0.001), whereas the hemoptysis rates were comparable in both groups (<italic>p =</italic> 1.000, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). In the CT group, 19 patients were classified as minor complication and 7 patients were classified as major complication. In the US group, all of the 5 patients were classified as minor complication.</p>
<p>
<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> shows the logistic analyses of pneumothorax. In the univariate analysis, the smaller lesion size (<italic>p</italic> = 0.01), larger needle-pleura angle (<italic>p</italic> = 0.054), decubitus position (<italic>p</italic> = 0.016), and CT guidance (<italic>p</italic> = 0.001). When these factors were included into the multivariate analysis, the independent risk factor was assessed to be CT guidance (<italic>p = 0.003</italic>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Predictors of pneumothorax.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variables</th>
<th valign="top" colspan="3" align="center">Univariate analysis</th>
<th valign="top" colspan="3" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="top" align="center">Hazard ratio</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">P value</th>
<th valign="top" align="center">Hazard ratio</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">0.999</td>
<td valign="top" align="center">0.969-1.031</td>
<td valign="top" align="center">0.959</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Gender</th>
</tr>
<tr>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">1.037</td>
<td valign="top" align="center">0.443-2.431</td>
<td valign="top" align="center">0.933</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Smoking history</td>
<td valign="top" align="center">1.596</td>
<td valign="top" align="center">0.709-3.593</td>
<td valign="top" align="center">0.258</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Emphysema</td>
<td valign="top" align="center">1.023</td>
<td valign="top" align="center">0.424-2.467</td>
<td valign="top" align="center">0.959</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">1.027</td>
<td valign="top" align="center">0.917-1.151</td>
<td valign="top" align="center">0.642</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumor size</td>
<td valign="top" align="center">0.963</td>
<td valign="top" align="center">0.936-0.991</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.975</td>
<td valign="top" align="center">0.947-1.004</td>
<td valign="top" align="center">0.086</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Lung</th>
</tr>
<tr>
<td valign="top" align="center">Right</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Left</td>
<td valign="top" align="center">0.809</td>
<td valign="top" align="center">0.363-1.804</td>
<td valign="top" align="center">0.604</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Lobe</th>
</tr>
<tr>
<td valign="top" align="center">Non-upper</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Upper</td>
<td valign="top" align="center">1.343</td>
<td valign="top" align="center">0.596-3.023</td>
<td valign="top" align="center">0.477</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Pleural effusion</td>
<td valign="top" align="center">0.678</td>
<td valign="top" align="center">0.273-1.681</td>
<td valign="top" align="center">0.401</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Needle- pleura angle</td>
<td valign="top" align="center">1.026</td>
<td valign="top" align="center">1.000-1.053</td>
<td valign="top" align="center">0.054</td>
<td valign="top" align="center">1.007</td>
<td valign="top" align="center">0.981-1.033</td>
<td valign="top" align="center">0.613</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Body position</th>
</tr>
<tr>
<td valign="top" align="center">Prone</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Supine</td>
<td valign="top" align="center">0.810</td>
<td valign="top" align="center">0.326-2.009</td>
<td valign="top" align="center">0.649</td>
<td valign="top" align="center">1.475</td>
<td valign="top" align="center">0.544-4.001</td>
<td valign="top" align="center">0.445</td>
</tr>
<tr>
<td valign="top" align="center">Decubitus</td>
<td valign="top" align="center">0.157</td>
<td valign="top" align="center">0.035-0.703</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">1.810</td>
<td valign="top" align="center">0.217-15.072</td>
<td valign="top" align="center">0.583</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Guidance methods</th>
</tr>
<tr>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">US</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">0.014-0.266</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center">0.008-0.382</td>
<td valign="top" align="center">0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; CI, confidential interval; CT, computed tomography; US, ultrasound.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Subgroup analyses</title>
<p>
<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> shows the subgroup analyses based on the lung nodules. The results indicated comparable diagnostic yield (62.1% <italic>vs.</italic> 59.0%, <italic>p =</italic> 0.749) and accuracy (100% <italic>vs.</italic> 100%) between CT and US groups. Furthermore, the incident rate of pneumothorax was markedly higher in the CT group than in the US group (24.4% <italic>vs.</italic> 2.6%, <italic>p =</italic> 0.004), while that of the hemoptysis was comparable in both the groups (3.0% <italic>vs.</italic> 5.1%, <italic>p =</italic> 0.627).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Biopsy procedure and diagnostic accuracy of lung nodules between 2 groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">CT group (n = 66)</th>
<th valign="top" align="center">US group (n = 39)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="4" align="left">Biopsy procedure</th>
</tr>
<tr>
<td valign="top" align="center">Lesion size (mm)</td>
<td valign="top" align="center">20.1 &#xb1; 6.7</td>
<td valign="top" align="center">21.8 &#xb1; 6.0</td>
<td valign="top" align="center">0.184</td>
</tr>
<tr>
<td valign="top" align="center">Number of samples</td>
<td valign="top" align="center">2.3 &#xb1; 0.6</td>
<td valign="top" align="center">2.4 &#xb1; 0.6</td>
<td valign="top" align="center">0.407</td>
</tr>
<tr>
<td valign="top" align="center">Duration of procedure (min)</td>
<td valign="top" align="center">20.9 &#xb1; 8.5</td>
<td valign="top" align="center">18.4 &#xb1; 5.4</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="center">Pneumothorax</td>
<td valign="top" align="center">16 (24.2%)</td>
<td valign="top" align="center">1 (2.6%)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="center">Hemoptysis</td>
<td valign="top" align="center">2 (3.0%)</td>
<td valign="top" align="center">2 (5.1%)</td>
<td valign="top" align="center">0.627</td>
</tr>
<tr>
<th valign="top" align="left">Biopsy pathological <break/>diagnosis</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">0.594</th>
</tr>
<tr>
<td valign="top" align="center">Malignancy</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Suspected malignancy</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Specific benign</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Non-specific benign</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left">Final diagnosis</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">0.825</th>
</tr>
<tr>
<td valign="top" align="center">Malignancy</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Benign</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Diagnostic performance</th>
</tr>
<tr>
<td valign="top" align="center">Diagnostic yield</td>
<td valign="top" align="center">41/66 (62.1%)</td>
<td valign="top" align="center">23/39 (59.0%)</td>
<td valign="top" align="center">0.749</td>
</tr>
<tr>
<td valign="top" align="center">Overall accuracy</td>
<td valign="top" align="center">66/66 (100%)</td>
<td valign="top" align="center">39/39 (100%)</td>
<td valign="top" align="center">Not applicable</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Currently, PNB is the primary diagnostic procedure for subpleural or peripheral lung lesions. PNB not only differentiates benign and malignant lesions but can also provide samples for molecular analyses, which can guide molecular target therapies (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). CT-guided PNB has been used for more than 30 years (<xref ref-type="bibr" rid="B14">14</xref>). However, CT-guided PNB has the limitation of lack of real-time monitoring. Some researchers used the C-arm cone-beam CT (CBCT) to achieve real-time guidance during the PNB procedure (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Ren et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>) indicated that CBCT-guided PNB has better performance than CT fluoroscopy-guided PNB for small lung lesions radiation dose and complications. However, CBCT radiation affects both patients and operators.</p>
<p>US-guided PNB is also a commonly used method for diagnosing the peripheral lung adherent to pleural surface or pleural lesion without radiation (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). Furthermore, US has the advantage of real-time visualization of the target lesion. Jarmakani et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>) showed that US guidance could obtain more adequacy sample than CT guidance (98% vs. 87%, P = 0.02). However, Jarmakani study used both fine and core needles and this may cause the bias of the results. Yamamoto et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>) found that US guidance could obtain significantly higher diagnostic rate than CT guidance for lesions &gt; 40&#xa0;mm (94.1% vs. 70.6%, P = 0.009). However, for the smaller lesions (&lt; 40&#xa0;mm), the US-guided and CT-guided PNB showed similar diagnostic rates (90% vs. 86.8%) (<xref ref-type="bibr" rid="B19">19</xref>). However, Yamamoto study contained both pulmonary and pleural lesions.This study compared the clinical effect between US- and CT-guided PNB for SPLs. Compared to the previous studies, the present study only focused on the pulmonary lesions and only used the core needle for biopsy. Both groups indicated high and similar diagnostic yield (72.2% <italic>vs.</italic> 64.8%, <italic>p =</italic> 0.561) and accuracy (99.1% <italic>vs.</italic> 100%, <italic>p =</italic> 1.000). Furthermore, the rates of diagnostic accuracy in US- and CT-guided PNB were more than their previously reported rates (84 - 96%) and (77 - 96%), respectively for SPLs (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). The high diagnostic accuracy rates in this study might be because of the co-axial technique employed. The co-axial technique was utilized to acquire adequate samples to achieve a high diagnostic yield and accuracy.</p>
<p>This investigation also indicated notably higher pneumothorax and chest tube insertion rates of the CT group than the US group. Furthermore, the independent risk factor of pneumothorax was identified to be CT guidance. CT-guided PNB is performed blindly, while US-guided PNB of lesions can be performed with real-time visualization. US-guided PNB is advantageous as it can avoid normal lungs from the lesion with respiratory movement by visualization and vessels by color Doppler imaging. Yamamoto et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>) reported a substantially higher overall complication rate in the CT group than in the US group (24.3% <italic>vs.</italic> 3.3%, <italic>p &lt; 0.001</italic>). These findings were in consistent with our findings. In addition, they also indicated that the US group pneumothorax rate was 0% (<xref ref-type="bibr" rid="B19">19</xref>). Overall, these data suggest that US-guided PNB is a safer technique than CT-guided PNB.</p>
<p>In this study, the CT group showed significantly higher rate of emphysema and smaller lesion size than US group. However, these factors were not associated with pneumothorax after univariate and multivariate logistic regression tests. Similarly, some previous studies also did not show that emphysema and lesion size were associated with pneumothorax (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Here, it was found that the hemoptysis incident rates in US- and CT-guided PNB were low and similar (2.7% <italic>vs.</italic> 2.9%, <italic>p =</italic> 1.000). This might be because the included lesions were SPLs and the needle seldom touches the intra-pulmonary vessels during PNB for SPLs.</p>
<p>The subgroup analyses indicated that both US- and CT-guided PNB provided high diagnostic accuracy for sub-pleural lung nodules. However, the US-guided PNB guidance indicated better safety than CT-guided PNB, suggesting that US guidance should be considered initially for performing PNB for sub-pleural lung nodules. In addition, to improve the technical reliability of the US-guided PNB for lung nodules, it is advisable the use of a dedicated probe, US transducers with a central hole for needle passage (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>However, US-guided PNB for SPLs also has some limitations. Although US has the advantage of real-time visualization of the target lesion, US is not an accurate imaging method for characterizing peripheral lung lesions compared to CT scans. Only peripheral consolidations that are strictly adherent to the parietal pleural surface can be imaged because the interposition of even a few millimeters of air is able to block US signal, thus hiding even very big space-occupying lesions. In addition, the acoustic barrier represented by the bony structures of the thoracic cage reduces the visible pleural surface to 70%. As a result, US cannot replace chest CT in the examination of the whole lung.</p>
<p>There are certain limitations of this study. Firstly, this is a retrospective study; therefore, some baseline data, such as emphysema, lesion size, needle-pleura angle, position, and number of samples, were unbalanced between the 2 groups. Although these data did not interfere with the diagnostic accuracy and complication, the selection bias does exist. Secondly, it is single-center research. Further multi-center, randomized controlled trials are required. Thirdly, US-guided PNB is not suitable for central pulmonary lesions and peripheral lesions not adherent to pleural surface or lesions adherent to pleural surface but covered by the rib cage, therefore, its use is limited.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In summary, this research indicated that both US- and CT-guided PNB have high diagnostic accuracy for SPLs. However, US guidance may provide better safety than CT guidance.</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 First Affiliated Hospital of Ningbo University. The 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.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YZ: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XW: Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RH: Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SZ: Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<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="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="s12" 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/fonc.2024.1474531/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2024.1474531/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.doc" id="SM1" mimetype="application/msword"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>EL</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>T</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>YF</given-names>
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