A novel quantitative model based on gross tumor volume corresponding to anatomical distribution measured with multidetector computed tomography to determine the resectability of non‑distant metastatic esophageal squamous cell carcinoma
It is important to accurately determine the resectability of thoracic esophageal squamous cell carcinoma (ESCC) for treatment decision-making. Previous studies have revealed that the CT-derived gross tumor volume (GTV) is associated with the staging of ESCC. The present study aimed to explore whethe...
Gespeichert in:
| Veröffentlicht in: | Oncology letters 2023-11, Vol.26 (5), p.1, Article 485 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 5 |
| container_start_page | 1 |
| container_title | Oncology letters |
| container_volume | 26 |
| creator | Gao, Dan Ou, Jing Tan, Bang-Guo Yu, Zi-Yi Li, Ke-Ying Li, Rui Zhang, Xiao-Ming Chen, Tian-Wu Zhou, Hai-Ying |
| description | It is important to accurately determine the resectability of thoracic esophageal squamous cell carcinoma (ESCC) for treatment decision-making. Previous studies have revealed that the CT-derived gross tumor volume (GTV) is associated with the staging of ESCC. The present study aimed to explore whether the anatomical distribution-based GTV of non-distant metastatic thoracic ESCC measured using multidetector computed tomography (MDCT) could quantitatively determine the resectability. For this purpose, 473 consecutive patients with biopsy-confirmed non-distant metastatic thoracic ESCC who underwent contrast-enhanced CT were randomly divided into a training cohort (TC; 376 patients) and validation cohort (VC; 97 patients). GTV was retrospectively measured using MDCT. Univariate and multivariate analyses were performed to identify the determinants of the resectability of ESCC in the TC. Receiver operating characteristic (ROC) analysis was performed to clarify whether anatomical distribution-based GTV could help quantitatively determinate resectability. Unweighted Cohen's Kappa tests in VC were used to assess the performance of the previous models. Univariate analysis demonstrated that sex, anatomic distribution, cT stage, cN stage and GTV were related to the resectability of ESCC in the TC (all P |
| doi_str_mv | 10.3892/ol.2023.14072 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10561156</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A772562205</galeid><sourcerecordid>A772562205</sourcerecordid><originalsourceid>FETCH-LOGICAL-c380t-4ed064724f0799eace4c73ea3c578f5429490898ca57d1899c94404da5e4dee93</originalsourceid><addsrcrecordid>eNpVks-KHCEQxpuQQJbNHnMXArnNxLbtUU9hWPIPFnJJzuLYNd0uavWqPWFueYW8Yu55h9iZZSFeFOvzV19Z1TSvW7rtpGLv0G8ZZd225VSwZ81VKxTbtFSy509nwV82Nznf07r6XSvl7qr5sycRT-DJw2JiccUUdwIScKhXB5NhIBjJmDBnUpaAiZzQLwGIxZQgzxgHF0dSkJhoCgZnjSeDyyW5w1JcfRvA5CVVzg9XJhIWX9wABWypLIthXkqN1Zc4JjNP5xW1xlNwEUiZgNQ0VW0OzrtyJnisfuPvn7_WJNVx5ReTV9uWQMZ5MiNUC7mWE3DJxIL3xJpkXcRgXjUvjsZnuHncr5vvHz98u_28ufv66cvt_m5jO0nLhsNAd1wwfqRCKTAWuBUdmM72Qh57zhRXVCppTS-GViplFeeUD6YHPgCo7rp5f-HOyyHAYCGWZLyekwsmnTUap_-PRDfpEU-6XRvT9rtKePNISPiwQC76HpcUq2nNpJCsU0rIqnp7UY3Gg55q5WXKtUHrz2e9F4L1O8ZoX4Wbi9CurUxwfPLSUr3Oj0av1_nR_-an-wtyRML2</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2878239978</pqid></control><display><type>article</type><title>A novel quantitative model based on gross tumor volume corresponding to anatomical distribution measured with multidetector computed tomography to determine the resectability of non‑distant metastatic esophageal squamous cell carcinoma</title><source>Spandidos Publications Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Gao, Dan ; Ou, Jing ; Tan, Bang-Guo ; Yu, Zi-Yi ; Li, Ke-Ying ; Li, Rui ; Zhang, Xiao-Ming ; Chen, Tian-Wu ; Zhou, Hai-Ying</creator><creatorcontrib>Gao, Dan ; Ou, Jing ; Tan, Bang-Guo ; Yu, Zi-Yi ; Li, Ke-Ying ; Li, Rui ; Zhang, Xiao-Ming ; Chen, Tian-Wu ; Zhou, Hai-Ying</creatorcontrib><description>It is important to accurately determine the resectability of thoracic esophageal squamous cell carcinoma (ESCC) for treatment decision-making. Previous studies have revealed that the CT-derived gross tumor volume (GTV) is associated with the staging of ESCC. The present study aimed to explore whether the anatomical distribution-based GTV of non-distant metastatic thoracic ESCC measured using multidetector computed tomography (MDCT) could quantitatively determine the resectability. For this purpose, 473 consecutive patients with biopsy-confirmed non-distant metastatic thoracic ESCC who underwent contrast-enhanced CT were randomly divided into a training cohort (TC; 376 patients) and validation cohort (VC; 97 patients). GTV was retrospectively measured using MDCT. Univariate and multivariate analyses were performed to identify the determinants of the resectability of ESCC in the TC. Receiver operating characteristic (ROC) analysis was performed to clarify whether anatomical distribution-based GTV could help quantitatively determinate resectability. Unweighted Cohen's Kappa tests in VC were used to assess the performance of the previous models. Univariate analysis demonstrated that sex, anatomic distribution, cT stage, cN stage and GTV were related to the resectability of ESCC in the TC (all P<0.05). Multivariate analysis revealed that GTV [P<0.001; odds ratio (OR) 1.158] and anatomic distribution (P=0.027; OR, 1.924) were independent determinants of resectability. ROC analysis revealed that the GTV cut-offs for the determination of the resectability of the upper, middle and lower thoracic portions were 23.57, 22.89 and 22.58 [cm.sup.3], respectively, with areas under the ROC curves of >0.9. Unweighted Cohen's Kappa tests revealed an excellent performance of the ROC models in the upper, middle and lower thoracic portions with Cohen k-values of 0.913, 0.879 and 0.871, respectively. On the whole, the present study demonstrated that GTV and the anatomic distribution of non-distant metastatic thoracic ESCC may be independent determinants of resectability, and anatomical distribution-based GTV can effectively be used to quantitatively determine resectability. Key words: esophagus, squamous cell carcinoma, tomography, X-ray computed, volume, anatomy</description><identifier>ISSN: 1792-1074</identifier><identifier>EISSN: 1792-1082</identifier><identifier>DOI: 10.3892/ol.2023.14072</identifier><language>eng</language><publisher>Athens: Spandidos Publications</publisher><subject>Analysis ; Biopsy ; Cancer therapies ; Chemotherapy ; CT imaging ; Endoscopy ; Esophageal cancer ; Immunotherapy ; Medical imaging ; Medical prognosis ; Metastasis ; Radiomics ; Reproducibility ; Squamous cell carcinoma ; Surgery ; Tomography ; Tumors ; Veins & arteries ; Work stations</subject><ispartof>Oncology letters, 2023-11, Vol.26 (5), p.1, Article 485</ispartof><rights>COPYRIGHT 2023 Spandidos Publications</rights><rights>Copyright Spandidos Publications UK Ltd. 2023</rights><rights>Copyright: © Gao et al. 2023</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c380t-4ed064724f0799eace4c73ea3c578f5429490898ca57d1899c94404da5e4dee93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561156/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561156/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><creatorcontrib>Gao, Dan</creatorcontrib><creatorcontrib>Ou, Jing</creatorcontrib><creatorcontrib>Tan, Bang-Guo</creatorcontrib><creatorcontrib>Yu, Zi-Yi</creatorcontrib><creatorcontrib>Li, Ke-Ying</creatorcontrib><creatorcontrib>Li, Rui</creatorcontrib><creatorcontrib>Zhang, Xiao-Ming</creatorcontrib><creatorcontrib>Chen, Tian-Wu</creatorcontrib><creatorcontrib>Zhou, Hai-Ying</creatorcontrib><title>A novel quantitative model based on gross tumor volume corresponding to anatomical distribution measured with multidetector computed tomography to determine the resectability of non‑distant metastatic esophageal squamous cell carcinoma</title><title>Oncology letters</title><description>It is important to accurately determine the resectability of thoracic esophageal squamous cell carcinoma (ESCC) for treatment decision-making. Previous studies have revealed that the CT-derived gross tumor volume (GTV) is associated with the staging of ESCC. The present study aimed to explore whether the anatomical distribution-based GTV of non-distant metastatic thoracic ESCC measured using multidetector computed tomography (MDCT) could quantitatively determine the resectability. For this purpose, 473 consecutive patients with biopsy-confirmed non-distant metastatic thoracic ESCC who underwent contrast-enhanced CT were randomly divided into a training cohort (TC; 376 patients) and validation cohort (VC; 97 patients). GTV was retrospectively measured using MDCT. Univariate and multivariate analyses were performed to identify the determinants of the resectability of ESCC in the TC. Receiver operating characteristic (ROC) analysis was performed to clarify whether anatomical distribution-based GTV could help quantitatively determinate resectability. Unweighted Cohen's Kappa tests in VC were used to assess the performance of the previous models. Univariate analysis demonstrated that sex, anatomic distribution, cT stage, cN stage and GTV were related to the resectability of ESCC in the TC (all P<0.05). Multivariate analysis revealed that GTV [P<0.001; odds ratio (OR) 1.158] and anatomic distribution (P=0.027; OR, 1.924) were independent determinants of resectability. ROC analysis revealed that the GTV cut-offs for the determination of the resectability of the upper, middle and lower thoracic portions were 23.57, 22.89 and 22.58 [cm.sup.3], respectively, with areas under the ROC curves of >0.9. Unweighted Cohen's Kappa tests revealed an excellent performance of the ROC models in the upper, middle and lower thoracic portions with Cohen k-values of 0.913, 0.879 and 0.871, respectively. On the whole, the present study demonstrated that GTV and the anatomic distribution of non-distant metastatic thoracic ESCC may be independent determinants of resectability, and anatomical distribution-based GTV can effectively be used to quantitatively determine resectability. Key words: esophagus, squamous cell carcinoma, tomography, X-ray computed, volume, anatomy</description><subject>Analysis</subject><subject>Biopsy</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>CT imaging</subject><subject>Endoscopy</subject><subject>Esophageal cancer</subject><subject>Immunotherapy</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>Radiomics</subject><subject>Reproducibility</subject><subject>Squamous cell carcinoma</subject><subject>Surgery</subject><subject>Tomography</subject><subject>Tumors</subject><subject>Veins & arteries</subject><subject>Work stations</subject><issn>1792-1074</issn><issn>1792-1082</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVks-KHCEQxpuQQJbNHnMXArnNxLbtUU9hWPIPFnJJzuLYNd0uavWqPWFueYW8Yu55h9iZZSFeFOvzV19Z1TSvW7rtpGLv0G8ZZd225VSwZ81VKxTbtFSy509nwV82Nznf07r6XSvl7qr5sycRT-DJw2JiccUUdwIScKhXB5NhIBjJmDBnUpaAiZzQLwGIxZQgzxgHF0dSkJhoCgZnjSeDyyW5w1JcfRvA5CVVzg9XJhIWX9wABWypLIthXkqN1Zc4JjNP5xW1xlNwEUiZgNQ0VW0OzrtyJnisfuPvn7_WJNVx5ReTV9uWQMZ5MiNUC7mWE3DJxIL3xJpkXcRgXjUvjsZnuHncr5vvHz98u_28ufv66cvt_m5jO0nLhsNAd1wwfqRCKTAWuBUdmM72Qh57zhRXVCppTS-GViplFeeUD6YHPgCo7rp5f-HOyyHAYCGWZLyekwsmnTUap_-PRDfpEU-6XRvT9rtKePNISPiwQC76HpcUq2nNpJCsU0rIqnp7UY3Gg55q5WXKtUHrz2e9F4L1O8ZoX4Wbi9CurUxwfPLSUr3Oj0av1_nR_-an-wtyRML2</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Gao, Dan</creator><creator>Ou, Jing</creator><creator>Tan, Bang-Guo</creator><creator>Yu, Zi-Yi</creator><creator>Li, Ke-Ying</creator><creator>Li, Rui</creator><creator>Zhang, Xiao-Ming</creator><creator>Chen, Tian-Wu</creator><creator>Zhou, Hai-Ying</creator><general>Spandidos Publications</general><general>Spandidos Publications UK Ltd</general><general>D.A. Spandidos</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>5PM</scope></search><sort><creationdate>20231101</creationdate><title>A novel quantitative model based on gross tumor volume corresponding to anatomical distribution measured with multidetector computed tomography to determine the resectability of non‑distant metastatic esophageal squamous cell carcinoma</title><author>Gao, Dan ; Ou, Jing ; Tan, Bang-Guo ; Yu, Zi-Yi ; Li, Ke-Ying ; Li, Rui ; Zhang, Xiao-Ming ; Chen, Tian-Wu ; Zhou, Hai-Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-4ed064724f0799eace4c73ea3c578f5429490898ca57d1899c94404da5e4dee93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Biopsy</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>CT imaging</topic><topic>Endoscopy</topic><topic>Esophageal cancer</topic><topic>Immunotherapy</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>Radiomics</topic><topic>Reproducibility</topic><topic>Squamous cell carcinoma</topic><topic>Surgery</topic><topic>Tomography</topic><topic>Tumors</topic><topic>Veins & arteries</topic><topic>Work stations</topic><toplevel>online_resources</toplevel><creatorcontrib>Gao, Dan</creatorcontrib><creatorcontrib>Ou, Jing</creatorcontrib><creatorcontrib>Tan, Bang-Guo</creatorcontrib><creatorcontrib>Yu, Zi-Yi</creatorcontrib><creatorcontrib>Li, Ke-Ying</creatorcontrib><creatorcontrib>Li, Rui</creatorcontrib><creatorcontrib>Zhang, Xiao-Ming</creatorcontrib><creatorcontrib>Chen, Tian-Wu</creatorcontrib><creatorcontrib>Zhou, Hai-Ying</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Dan</au><au>Ou, Jing</au><au>Tan, Bang-Guo</au><au>Yu, Zi-Yi</au><au>Li, Ke-Ying</au><au>Li, Rui</au><au>Zhang, Xiao-Ming</au><au>Chen, Tian-Wu</au><au>Zhou, Hai-Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel quantitative model based on gross tumor volume corresponding to anatomical distribution measured with multidetector computed tomography to determine the resectability of non‑distant metastatic esophageal squamous cell carcinoma</atitle><jtitle>Oncology letters</jtitle><date>2023-11-01</date><risdate>2023</risdate><volume>26</volume><issue>5</issue><spage>1</spage><pages>1-</pages><artnum>485</artnum><issn>1792-1074</issn><eissn>1792-1082</eissn><abstract>It is important to accurately determine the resectability of thoracic esophageal squamous cell carcinoma (ESCC) for treatment decision-making. Previous studies have revealed that the CT-derived gross tumor volume (GTV) is associated with the staging of ESCC. The present study aimed to explore whether the anatomical distribution-based GTV of non-distant metastatic thoracic ESCC measured using multidetector computed tomography (MDCT) could quantitatively determine the resectability. For this purpose, 473 consecutive patients with biopsy-confirmed non-distant metastatic thoracic ESCC who underwent contrast-enhanced CT were randomly divided into a training cohort (TC; 376 patients) and validation cohort (VC; 97 patients). GTV was retrospectively measured using MDCT. Univariate and multivariate analyses were performed to identify the determinants of the resectability of ESCC in the TC. Receiver operating characteristic (ROC) analysis was performed to clarify whether anatomical distribution-based GTV could help quantitatively determinate resectability. Unweighted Cohen's Kappa tests in VC were used to assess the performance of the previous models. Univariate analysis demonstrated that sex, anatomic distribution, cT stage, cN stage and GTV were related to the resectability of ESCC in the TC (all P<0.05). Multivariate analysis revealed that GTV [P<0.001; odds ratio (OR) 1.158] and anatomic distribution (P=0.027; OR, 1.924) were independent determinants of resectability. ROC analysis revealed that the GTV cut-offs for the determination of the resectability of the upper, middle and lower thoracic portions were 23.57, 22.89 and 22.58 [cm.sup.3], respectively, with areas under the ROC curves of >0.9. Unweighted Cohen's Kappa tests revealed an excellent performance of the ROC models in the upper, middle and lower thoracic portions with Cohen k-values of 0.913, 0.879 and 0.871, respectively. On the whole, the present study demonstrated that GTV and the anatomic distribution of non-distant metastatic thoracic ESCC may be independent determinants of resectability, and anatomical distribution-based GTV can effectively be used to quantitatively determine resectability. Key words: esophagus, squamous cell carcinoma, tomography, X-ray computed, volume, anatomy</abstract><cop>Athens</cop><pub>Spandidos Publications</pub><doi>10.3892/ol.2023.14072</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1792-1074 |
| ispartof | Oncology letters, 2023-11, Vol.26 (5), p.1, Article 485 |
| issn | 1792-1074 1792-1082 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10561156 |
| source | Spandidos Publications Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Analysis Biopsy Cancer therapies Chemotherapy CT imaging Endoscopy Esophageal cancer Immunotherapy Medical imaging Medical prognosis Metastasis Radiomics Reproducibility Squamous cell carcinoma Surgery Tomography Tumors Veins & arteries Work stations |
| title | A novel quantitative model based on gross tumor volume corresponding to anatomical distribution measured with multidetector computed tomography to determine the resectability of non‑distant metastatic esophageal squamous cell carcinoma |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T17%3A24%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20novel%20quantitative%20model%20based%20on%20gross%20tumor%20volume%20corresponding%20to%20anatomical%20distribution%20measured%20with%20multidetector%20computed%20tomography%20to%20determine%20the%20resectability%20of%20non%E2%80%91distant%20metastatic%20esophageal%20squamous%20cell%20carcinoma&rft.jtitle=Oncology%20letters&rft.au=Gao,%20Dan&rft.date=2023-11-01&rft.volume=26&rft.issue=5&rft.spage=1&rft.pages=1-&rft.artnum=485&rft.issn=1792-1074&rft.eissn=1792-1082&rft_id=info:doi/10.3892/ol.2023.14072&rft_dat=%3Cgale_pubme%3EA772562205%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2878239978&rft_id=info:pmid/&rft_galeid=A772562205&rfr_iscdi=true |