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Articles in Press
9/23/2026 9:14:27 AM | Browse: 22 | Download: 3
| 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
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Bijing Lin and Li Fu |
| Funding Agency and Grant Number |
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| 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
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| PDF |
123246-in-press.pdf
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Received |
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2026-06-18 10:40 |
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Peer-Review Started |
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2026-06-18 10:41 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-07-13 02:41 |
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Revised |
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2026-08-18 04:06 |
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Publication Fee Transferred |
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2026-09-08 05:33 |
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Second Decision by Editor |
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2026-09-23 02:47 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-09-23 09:14 |
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Articles in Press |
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2026-09-23 09:14 |
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Edit the Manuscript by Language Editor |
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2026-09-23 14:35 |
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Typeset the Manuscript |
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| 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. |
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.