The value on SUV-derived parameters assessed on 18 F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer

To explore valuable predictors for mediastinal lymph node metastasis in non-small cell lung cancer (NSCLC) patients, we analyzed the potential roles of standardized uptake value (SUV)-derived parameters from preoperative F-FDG PET/CT combined with clinical characteristics. Data from 224 NSCLC patien...

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Veröffentlicht in:BMC medical imaging 2023-04, Vol.23 (1), p.49
Hauptverfasser: Liao, Xuhe, Liu, Meng, Li, Shanshi, Huang, Weiming, Guo, Cuiyan, Liu, Jia, Xiong, Yan, Zhang, Jianhua, Fan, Yan, Wang, Rongfu
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container_title BMC medical imaging
container_volume 23
creator Liao, Xuhe
Liu, Meng
Li, Shanshi
Huang, Weiming
Guo, Cuiyan
Liu, Jia
Xiong, Yan
Zhang, Jianhua
Fan, Yan
Wang, Rongfu
description To explore valuable predictors for mediastinal lymph node metastasis in non-small cell lung cancer (NSCLC) patients, we analyzed the potential roles of standardized uptake value (SUV)-derived parameters from preoperative F-FDG PET/CT combined with clinical characteristics. Data from 224 NSCLC patients who underwent preoperative F-FDG PET/CT scans in our hospital were collected. Then, a series of clinical parameters including SUV-derived features [SUVmax of mediastinal lymph node and primary-tumor SUVmax, SUVpeak, SUVmean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG)] were evaluated. The best possible cutoff points for all measuring parameters were calculated using receiver operating characteristic curve (ROC) analysis. Predictive analyses were performed using a Logistic regression model to determine the predictive factors for mediastinal lymph node metastasis in NSCLC and lung adenocarcinoma patients. After multivariate model construction, data of another 100 NSCLC patients were recorded. Then, 224 patients and 100 patients were enrolled to validate the predictive model by the area under the receiver operating characteristic curve (AUC). The mediastinal lymph node metastasis rates in 224 patients for model construction and 100 patients for model validation were 24.1% (54/224) and 25% (25/100), respectively. It was found that SUVmax of mediastinal lymph node ≥ 2.49, primary-tumor SUVmax ≥ 4.11, primary-tumor SUVpeak ≥ 2.92, primary-tumor SUVmean ≥ 2.39, primary-tumor MTV ≥ 30.88 cm , and primary-tumor TLG ≥ 83.53 were more prone to mediastinal lymph node metastasis through univariate logistic regression analyses. The multivariate logistic regression analyses showed that the SUVmax of mediastinal lymph nodes (≥ 2.49: OR 7.215, 95% CI 3.326-15.649), primary-tumor SUVpeak (≥ 2.92: OR 5.717, 95% CI 2.094-15.605), CEA (≥ 3.94 ng/ml: OR 2.467, 95% CI 1.182-5.149), and SCC (
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Data from 224 NSCLC patients who underwent preoperative F-FDG PET/CT scans in our hospital were collected. Then, a series of clinical parameters including SUV-derived features [SUVmax of mediastinal lymph node and primary-tumor SUVmax, SUVpeak, SUVmean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG)] were evaluated. The best possible cutoff points for all measuring parameters were calculated using receiver operating characteristic curve (ROC) analysis. Predictive analyses were performed using a Logistic regression model to determine the predictive factors for mediastinal lymph node metastasis in NSCLC and lung adenocarcinoma patients. After multivariate model construction, data of another 100 NSCLC patients were recorded. Then, 224 patients and 100 patients were enrolled to validate the predictive model by the area under the receiver operating characteristic curve (AUC). The mediastinal lymph node metastasis rates in 224 patients for model construction and 100 patients for model validation were 24.1% (54/224) and 25% (25/100), respectively. It was found that SUVmax of mediastinal lymph node ≥ 2.49, primary-tumor SUVmax ≥ 4.11, primary-tumor SUVpeak ≥ 2.92, primary-tumor SUVmean ≥ 2.39, primary-tumor MTV ≥ 30.88 cm , and primary-tumor TLG ≥ 83.53 were more prone to mediastinal lymph node metastasis through univariate logistic regression analyses. The multivariate logistic regression analyses showed that the SUVmax of mediastinal lymph nodes (≥ 2.49: OR 7.215, 95% CI 3.326-15.649), primary-tumor SUVpeak (≥ 2.92: OR 5.717, 95% CI 2.094-15.605), CEA (≥ 3.94 ng/ml: OR 2.467, 95% CI 1.182-5.149), and SCC (&lt; 1.15 ng/ml: OR 4.795, 95% CI 2.019-11.388) were independent predictive factors for lymph node metastasis in the mediastinum. It was found that SUVmax of the mediastinal lymph node (≥ 2.49: OR 8.067, 95% CI 3.193-20.383), primary-tumor SUVpeak (≥ 2.92: OR 9.219, 95% CI 3.096-27.452), and CA19-9 (≥ 16.6 U/ml: OR 3.750, 95% CI 1.485-9.470) were significant predictive factors for mediastinal lymph node metastasis in lung adenocarcinoma patients. The AUCs for the predictive value of the NSCLC multivariate model through internal and external validation were 0.833 (95% CI 0.769- 0.896) and 0.811 (95% CI 0.712-0.911), respectively. High SUV-derived parameters (SUVmax of mediastinal lymph node and primary-tumor SUVmax, SUVpeak, SUVmean, MTV and TLG) might provide varying degrees of predictive value for mediastinal lymph node metastasis in NSCLC patients. In particular, the SUVmax of mediastinal lymph nodes and primary-tumor SUVpeak could be independently and significantly associated with mediastinal lymph node metastasis in NSCLC and lung adenocarcinoma patients. Internal and external validation confirmed that the pretherapeutic SUVmax of the mediastinal lymph node and primary-tumor SUVpeak combined with serum CEA and SCC can effectively predict mediastinal lymph node metastasis of NSCLC patients.</description><identifier>EISSN: 1471-2342</identifier><identifier>DOI: 10.1186/s12880-023-01004-7</identifier><identifier>PMID: 37020286</identifier><language>eng</language><publisher>England</publisher><subject>Adenocarcinoma of Lung - metabolism ; Adenocarcinoma of Lung - pathology ; Carcinoma, Non-Small-Cell Lung - pathology ; Fluorodeoxyglucose F18 - metabolism ; Humans ; Lung Neoplasms - pathology ; Lymph Nodes - pathology ; Lymphatic Metastasis - pathology ; Mediastinum ; Positron Emission Tomography Computed Tomography</subject><ispartof>BMC medical imaging, 2023-04, Vol.23 (1), p.49</ispartof><rights>2023. The Author(s).</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,862,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37020286$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liao, Xuhe</creatorcontrib><creatorcontrib>Liu, Meng</creatorcontrib><creatorcontrib>Li, Shanshi</creatorcontrib><creatorcontrib>Huang, Weiming</creatorcontrib><creatorcontrib>Guo, Cuiyan</creatorcontrib><creatorcontrib>Liu, Jia</creatorcontrib><creatorcontrib>Xiong, Yan</creatorcontrib><creatorcontrib>Zhang, Jianhua</creatorcontrib><creatorcontrib>Fan, Yan</creatorcontrib><creatorcontrib>Wang, Rongfu</creatorcontrib><title>The value on SUV-derived parameters assessed on 18 F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer</title><title>BMC medical imaging</title><addtitle>BMC Med Imaging</addtitle><description>To explore valuable predictors for mediastinal lymph node metastasis in non-small cell lung cancer (NSCLC) patients, we analyzed the potential roles of standardized uptake value (SUV)-derived parameters from preoperative F-FDG PET/CT combined with clinical characteristics. Data from 224 NSCLC patients who underwent preoperative F-FDG PET/CT scans in our hospital were collected. Then, a series of clinical parameters including SUV-derived features [SUVmax of mediastinal lymph node and primary-tumor SUVmax, SUVpeak, SUVmean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG)] were evaluated. The best possible cutoff points for all measuring parameters were calculated using receiver operating characteristic curve (ROC) analysis. Predictive analyses were performed using a Logistic regression model to determine the predictive factors for mediastinal lymph node metastasis in NSCLC and lung adenocarcinoma patients. After multivariate model construction, data of another 100 NSCLC patients were recorded. Then, 224 patients and 100 patients were enrolled to validate the predictive model by the area under the receiver operating characteristic curve (AUC). The mediastinal lymph node metastasis rates in 224 patients for model construction and 100 patients for model validation were 24.1% (54/224) and 25% (25/100), respectively. It was found that SUVmax of mediastinal lymph node ≥ 2.49, primary-tumor SUVmax ≥ 4.11, primary-tumor SUVpeak ≥ 2.92, primary-tumor SUVmean ≥ 2.39, primary-tumor MTV ≥ 30.88 cm , and primary-tumor TLG ≥ 83.53 were more prone to mediastinal lymph node metastasis through univariate logistic regression analyses. The multivariate logistic regression analyses showed that the SUVmax of mediastinal lymph nodes (≥ 2.49: OR 7.215, 95% CI 3.326-15.649), primary-tumor SUVpeak (≥ 2.92: OR 5.717, 95% CI 2.094-15.605), CEA (≥ 3.94 ng/ml: OR 2.467, 95% CI 1.182-5.149), and SCC (&lt; 1.15 ng/ml: OR 4.795, 95% CI 2.019-11.388) were independent predictive factors for lymph node metastasis in the mediastinum. It was found that SUVmax of the mediastinal lymph node (≥ 2.49: OR 8.067, 95% CI 3.193-20.383), primary-tumor SUVpeak (≥ 2.92: OR 9.219, 95% CI 3.096-27.452), and CA19-9 (≥ 16.6 U/ml: OR 3.750, 95% CI 1.485-9.470) were significant predictive factors for mediastinal lymph node metastasis in lung adenocarcinoma patients. The AUCs for the predictive value of the NSCLC multivariate model through internal and external validation were 0.833 (95% CI 0.769- 0.896) and 0.811 (95% CI 0.712-0.911), respectively. High SUV-derived parameters (SUVmax of mediastinal lymph node and primary-tumor SUVmax, SUVpeak, SUVmean, MTV and TLG) might provide varying degrees of predictive value for mediastinal lymph node metastasis in NSCLC patients. In particular, the SUVmax of mediastinal lymph nodes and primary-tumor SUVpeak could be independently and significantly associated with mediastinal lymph node metastasis in NSCLC and lung adenocarcinoma patients. Internal and external validation confirmed that the pretherapeutic SUVmax of the mediastinal lymph node and primary-tumor SUVpeak combined with serum CEA and SCC can effectively predict mediastinal lymph node metastasis of NSCLC patients.</description><subject>Adenocarcinoma of Lung - metabolism</subject><subject>Adenocarcinoma of Lung - pathology</subject><subject>Carcinoma, Non-Small-Cell Lung - pathology</subject><subject>Fluorodeoxyglucose F18 - metabolism</subject><subject>Humans</subject><subject>Lung Neoplasms - pathology</subject><subject>Lymph Nodes - pathology</subject><subject>Lymphatic Metastasis - pathology</subject><subject>Mediastinum</subject><subject>Positron Emission Tomography Computed Tomography</subject><issn>1471-2342</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFj91KAzEQhYMgtv68gBcyLxCbZJdu7mtXLwVXb8u4O7WRJBsyu4W-hM9sBL0WhpnDxzkHRohbre61tusVa2OtkspUUmmlatmciaWuGy1NVZuFuGT-VEo3tqovxKJqlFHGrpfiqzsQHNHPBGOEl9c3OVB2RxogYcZAE2UGZKYyw49FW2hl-_AIz9tutelgP2ZImQbXTy5-QCgKuUj04E8hHSCOAxU8FYrsGFwsKEoO6D30VJafS7DH2FO-Fud79Ew3v_dK3LXbbvMk0_xeqncpu4D5tPt7oPrX8A0-u1a7</recordid><startdate>20230405</startdate><enddate>20230405</enddate><creator>Liao, Xuhe</creator><creator>Liu, Meng</creator><creator>Li, Shanshi</creator><creator>Huang, Weiming</creator><creator>Guo, Cuiyan</creator><creator>Liu, Jia</creator><creator>Xiong, Yan</creator><creator>Zhang, Jianhua</creator><creator>Fan, Yan</creator><creator>Wang, Rongfu</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>20230405</creationdate><title>The value on SUV-derived parameters assessed on 18 F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer</title><author>Liao, Xuhe ; Liu, Meng ; Li, Shanshi ; Huang, Weiming ; Guo, Cuiyan ; Liu, Jia ; Xiong, Yan ; Zhang, Jianhua ; Fan, Yan ; Wang, Rongfu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-pubmed_primary_370202863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adenocarcinoma of Lung - metabolism</topic><topic>Adenocarcinoma of Lung - pathology</topic><topic>Carcinoma, Non-Small-Cell Lung - pathology</topic><topic>Fluorodeoxyglucose F18 - metabolism</topic><topic>Humans</topic><topic>Lung Neoplasms - pathology</topic><topic>Lymph Nodes - pathology</topic><topic>Lymphatic Metastasis - pathology</topic><topic>Mediastinum</topic><topic>Positron Emission Tomography Computed Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liao, Xuhe</creatorcontrib><creatorcontrib>Liu, Meng</creatorcontrib><creatorcontrib>Li, Shanshi</creatorcontrib><creatorcontrib>Huang, Weiming</creatorcontrib><creatorcontrib>Guo, Cuiyan</creatorcontrib><creatorcontrib>Liu, Jia</creatorcontrib><creatorcontrib>Xiong, Yan</creatorcontrib><creatorcontrib>Zhang, Jianhua</creatorcontrib><creatorcontrib>Fan, Yan</creatorcontrib><creatorcontrib>Wang, Rongfu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>BMC medical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liao, Xuhe</au><au>Liu, Meng</au><au>Li, Shanshi</au><au>Huang, Weiming</au><au>Guo, Cuiyan</au><au>Liu, Jia</au><au>Xiong, Yan</au><au>Zhang, Jianhua</au><au>Fan, Yan</au><au>Wang, Rongfu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The value on SUV-derived parameters assessed on 18 F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer</atitle><jtitle>BMC medical imaging</jtitle><addtitle>BMC Med Imaging</addtitle><date>2023-04-05</date><risdate>2023</risdate><volume>23</volume><issue>1</issue><spage>49</spage><pages>49-</pages><eissn>1471-2342</eissn><abstract>To explore valuable predictors for mediastinal lymph node metastasis in non-small cell lung cancer (NSCLC) patients, we analyzed the potential roles of standardized uptake value (SUV)-derived parameters from preoperative F-FDG PET/CT combined with clinical characteristics. Data from 224 NSCLC patients who underwent preoperative F-FDG PET/CT scans in our hospital were collected. Then, a series of clinical parameters including SUV-derived features [SUVmax of mediastinal lymph node and primary-tumor SUVmax, SUVpeak, SUVmean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG)] were evaluated. The best possible cutoff points for all measuring parameters were calculated using receiver operating characteristic curve (ROC) analysis. Predictive analyses were performed using a Logistic regression model to determine the predictive factors for mediastinal lymph node metastasis in NSCLC and lung adenocarcinoma patients. After multivariate model construction, data of another 100 NSCLC patients were recorded. Then, 224 patients and 100 patients were enrolled to validate the predictive model by the area under the receiver operating characteristic curve (AUC). The mediastinal lymph node metastasis rates in 224 patients for model construction and 100 patients for model validation were 24.1% (54/224) and 25% (25/100), respectively. It was found that SUVmax of mediastinal lymph node ≥ 2.49, primary-tumor SUVmax ≥ 4.11, primary-tumor SUVpeak ≥ 2.92, primary-tumor SUVmean ≥ 2.39, primary-tumor MTV ≥ 30.88 cm , and primary-tumor TLG ≥ 83.53 were more prone to mediastinal lymph node metastasis through univariate logistic regression analyses. The multivariate logistic regression analyses showed that the SUVmax of mediastinal lymph nodes (≥ 2.49: OR 7.215, 95% CI 3.326-15.649), primary-tumor SUVpeak (≥ 2.92: OR 5.717, 95% CI 2.094-15.605), CEA (≥ 3.94 ng/ml: OR 2.467, 95% CI 1.182-5.149), and SCC (&lt; 1.15 ng/ml: OR 4.795, 95% CI 2.019-11.388) were independent predictive factors for lymph node metastasis in the mediastinum. It was found that SUVmax of the mediastinal lymph node (≥ 2.49: OR 8.067, 95% CI 3.193-20.383), primary-tumor SUVpeak (≥ 2.92: OR 9.219, 95% CI 3.096-27.452), and CA19-9 (≥ 16.6 U/ml: OR 3.750, 95% CI 1.485-9.470) were significant predictive factors for mediastinal lymph node metastasis in lung adenocarcinoma patients. The AUCs for the predictive value of the NSCLC multivariate model through internal and external validation were 0.833 (95% CI 0.769- 0.896) and 0.811 (95% CI 0.712-0.911), respectively. High SUV-derived parameters (SUVmax of mediastinal lymph node and primary-tumor SUVmax, SUVpeak, SUVmean, MTV and TLG) might provide varying degrees of predictive value for mediastinal lymph node metastasis in NSCLC patients. In particular, the SUVmax of mediastinal lymph nodes and primary-tumor SUVpeak could be independently and significantly associated with mediastinal lymph node metastasis in NSCLC and lung adenocarcinoma patients. Internal and external validation confirmed that the pretherapeutic SUVmax of the mediastinal lymph node and primary-tumor SUVpeak combined with serum CEA and SCC can effectively predict mediastinal lymph node metastasis of NSCLC patients.</abstract><cop>England</cop><pmid>37020286</pmid><doi>10.1186/s12880-023-01004-7</doi></addata></record>
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subjects Adenocarcinoma of Lung - metabolism
Adenocarcinoma of Lung - pathology
Carcinoma, Non-Small-Cell Lung - pathology
Fluorodeoxyglucose F18 - metabolism
Humans
Lung Neoplasms - pathology
Lymph Nodes - pathology
Lymphatic Metastasis - pathology
Mediastinum
Positron Emission Tomography Computed Tomography
title The value on SUV-derived parameters assessed on 18 F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer
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