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Publication Name World Journal of Gastrointestinal Surgery
Manuscript ID 123246
DOI 10.4240/wjgs.123246
Country China
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Preoperative multi-phase contrast-enhanced computed tomography-based nomogram for predicting extramural venous invasion in gastric cancer: A retrospective study
Manuscript Source Unsolicited Manuscript
All Author List Bijing Lin and Li Fu
Funding Agency and Grant Number
Corresponding Author Li Fu, Department of Radiology, The First Hospital of Putian City, No. 449, Nanmen West Road, Chengxiang District, Putian 351100, Fujian Province, China. 13666911846@163.com
Key Words Gastric cancer; Extramural venous invasion; Contrast-enhanced CT; Prediction model; Nomogram; Retrospective study; Risk assessment
Core Tip This single-center retrospective study developed a five-feature preoperative computed tomography (CT) nomogram for pathological extramural venous invasion in 306 patients with gastric cancer. All model predictors were derived from preoperative CT, including CT-assessed T stage. The model achieved area under the curve of 0.872 in the development cohort and 0.849 in the random split internal-validation cohort. Because no independent external cohort was used, these findings should be interpreted as model-development/internal-validation evidence rather than proof of generalizability or clinical effectiveness.
Citation Lin BJ, Fu L. Preoperative multi-phase contrast-enhanced computed tomography-based nomogram for predicting extramural venous invasion in gastric cancer: A retrospective study. World J Gastrointest Surg 2026; In press
PDF 123246-in-press.pdf
Received
2026-06-18 10:40
Peer-Review Started
2026-06-18 10:41
First Decision by Editorial Office Director
Return for Revision
2026-07-13 02:41
Revised
2026-08-18 04:06
Publication Fee Transferred
2026-09-08 05:33
Second Decision by Editor
2026-09-23 02:47
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-09-23 09:14
Articles in Press
2026-09-23 09:14
Edit the Manuscript by Language Editor
2026-09-23 14:35
Typeset the Manuscript
ISSN 1948-9366 (online)
Open Access This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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