{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T22:55:07Z","timestamp":1773269707967,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"13","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31971113"],"award-info":[{"award-number":["31971113"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To statistically study the 3D shape of oesophageal cancer (EC) and its spatial relationships based on computed tomography angiography (CTA) 3D reconstruction, to determine its relationship with T\u2010stages, and to create an optimal T\u2010stage diagnosis protocol based on CTA calculation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Pre\u2010operative CTA images of 155 patients with EC were retrospectively collected and divided into four groups: T1\u2013T4. We used Amira software to segment and 3D reconstruct the EC, oesophagus, aorta, pericardium and peripheral lymph nodes and measured their surface area, volume, major axis, minor axis, longitudinal length, roughness and relationship to the aorta of the EC. One\u2010way ANOVA, independent sample <jats:italic>t<\/jats:italic>\u2010test, ROC, etc., were performed and critical values between different T\u2010stages were calculated. We also invited two radiologists to evaluate the measurements.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>There were no significant differences in EC longitudinal length, roughness score and relationship with the aorta between the different T\u2010stages of EC. There were significant differences in EC surface area, EC volume and mean major and minor axis among the different T\u2010stages. The volumes of the T1\u2013T4 tumours were 12,934.36\u2009\u00b1\u20097739.25, 23,095.27\u2009\u00b1\u200914,975.67, 37,577.98\u2009\u00b1\u200936,085.64 and 58,579.25\u2009\u00b1\u200941,073.96\u2009mm<jats:sup>3<\/jats:sup> separately (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05), and the T1\u2013T4 volume cut\u2010off values were 11,712.00, 19,809.00 and 44,103.50\u2009mm<jats:sup>3<\/jats:sup> separately. For comparison with radiologists, the AUC value of our measurements was 0.704, which was higher than the radiologists of AUC\u2009=\u20090.630.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>EC volume, major and minor axis can be used as important factors for surgeons in the T\u2010stage diagnosis of EC, which helps to improve prognosis and treatment decisions after CTA.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.6051","type":"journal-article","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T14:15:20Z","timestamp":1686579320000},"page":"14037-14051","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Could tumour volume and major and minor axis based on <scp>CTA<\/scp> statistical anatomy improve the pre\u2010operative T\u2010stage in oesophageal cancer?"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5908-6601","authenticated-orcid":false,"given":"Runyuan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Digital Medicine College of Biomedical Engineering and Medical Imaging Army Medical University (Third Military Medical University)  Chongqing China"},{"name":"Department of Histology and Embryology Shanxi Medical University  Taiyuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Digital Medicine College of Biomedical Engineering and Medical Imaging Army Medical University (Third Military Medical University)  Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Thoracic Surgery, Southwest Hospital Army Medical University (Third Military Medical University)  Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinfeng","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Shanxi Province Cancer Hospital\/Shanxi Hospital Affiliated to Cancer Hospital Chinese Academy of Medical Sciences\/Cancer Hospital Affiliated to Shanxi Medical University  Taiyuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jincheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Thoracic Surgery, Southwest Hospital Army Medical University (Third Military Medical University)  Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Histology and Embryology Shanxi Medical University  Taiyuan 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