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Articles Published Processes
9/1/2025 8:05:38 AM | Browse: 639 | Download: 762
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Received |
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2025-04-14 04:31 |
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Peer-Review Started |
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2025-04-14 04:31 |
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First Decision by Editorial Office Director |
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2025-06-04 02:17 |
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Return for Revision |
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2025-06-04 02:17 |
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Revised |
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2025-06-14 14:21 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-08-05 02:46 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-08-05 08:56 |
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Articles in Press |
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2025-08-05 08:56 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-08-25 09:56 |
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Publish the Manuscript Online |
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2025-09-01 08:05 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| 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 |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Early postnatal characteristics and differential diagnosis of choledochal cyst and cystic biliary atresia
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yu Tian, Shuai Chen, Can Ji, Xin-Ping Wang, Mao Ye, Xin-Yuan Chen, Jian-Feng Luo, Xu Li and Long Li |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Beijing Municipal Science and Technology Commission |
No. Z191100006619002 |
| Haiyou Health High-Caliber Talent Project |
No. 202412 |
| Research Unit of Minimally Invasive Pediatric Surgery on Diagnosis and Treatment, Chinese Academy of Medical Sciences |
No. 2021RU015 |
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| Corresponding Author |
Long Li, Chief, Chief Physician, Professor, Department of Pediatric Surgery, Capital Center for Children’s Health, Capital Medical University, Capital Institute of Pediatrics, No. 2 Ya Bao Road, Beijing 100020, China. lilong23@126.com |
| Key Words |
Cystic biliary atresia; Choledochal cyst; Combined diagnosis; Ultrasound; Early diagnosis |
| Core Tip |
This study developed a multilayer perceptron diagnostic model for early postnatal differentiation between choledochal cysts and cystic biliary atresia (CBA). The model, incorporating selected biochemical markers and ultrasonographic features, demonstrates exceptional diagnostic accuracy (95.8%), an area under the curve of 99.0%, and significant clinical utility. We transformed this model into user-friendly diagnostic software for convenient clinical application, facilitating rapid decision-making that helps prevent delayed surgery in CBA patients. This approach potentially improves long-term outcomes by enabling timely intervention during the critical early postnatal period when distinguishing between these conditions is most challenging but therapeutically crucial. |
| Publish Date |
2025-09-01 08:05 |
| Citation |
Tian Y, Chen S, Ji C, Wang XP, Ye M, Chen XY, Luo JF, Li X, Li L. Early postnatal characteristics and differential diagnosis of choledochal cyst and cystic biliary atresia. World J Gastroenterol 2025; 31(33): 108369
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| URL |
https://www.wjgnet.com/1007-9327/full/v31/i33/108369.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i33.108369 |
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.
