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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Sep 7, 2025; 31(33): 108369
Published online Sep 7, 2025. doi: 10.3748/wjg.v31.i33.108369
Published online Sep 7, 2025. doi: 10.3748/wjg.v31.i33.108369
Early postnatal characteristics and differential diagnosis of choledochal cyst and cystic biliary atresia
Yu Tian, Mao Ye, Xin-Yuan Chen, Jian-Feng Luo, Xu Li, Long Li, Department of Pediatric Surgery, Capital Center for Children’s Health, Capital Medical University, Capital Institute of Pediatrics, Beijing 100020, China
Yu Tian, Can Ji, Xin-Ping Wang, Department of Pediatric Surgery, Capital Institute of Pediatrics-Peking University Teaching Hospital, Beijing 100020, China
Yu Tian, Precision Regenerative Medicine Research Centre, Medical Science Division, and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau 999078, China
Shuai Chen, Department of Neonatal Surgery, Children’s Hospital Affiliated to Shandong University (Jinan Children’s Hospital), Jinan 250022, Shandong Province, China
Xu Li, Long Li, Research Unit of Minimally Invasive Pediatric Surgery on Diagnosis and Treatment, Chinese Academy of Medical Sciences, Beijing 100020, China
Long Li, Department of Pediatric Surgery, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
Co-first authors: Yu Tian and Shuai Chen.
Co-corresponding authors: Xu Li and Long Li.
Author contributions: Tian Y and Chen S contributed equally to this work as co-first authors; Tian Y and Chen S designed the research, collected the data, and wrote the original draft; Ji C and Wang XP performed the data analysis and interpretation; Ye M and Chen XY contributed to methodology and validation; Luo JF conducted statistical analysis; Li X and Li L contributed equally to this work as co-corresponding authors, and were responsible for study conception, supervision, and critical revision of the manuscript; All authors have read and approved the final manuscript to be published and agree to be accountable for all aspects of the work.
Supported by the Beijing Municipal Science and Technology Commission, No. Z191100006619002; Haiyou Health High-Caliber Talent Project, No. 202412; and the Research Unit of Minimally Invasive Pediatric Surgery on Diagnosis and Treatment, Chinese Academy of Medical Sciences, No. 2021RU015.
Institutional review board statement: This study was approved by the Ethics Committee of the Capital Institute of Pediatrics (No. SHERLL2022047).
Informed consent statement: The requirement for patient informed consent was waived due to the retrospective study design.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at lilong23@126.com.
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/
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
Received: April 14, 2025
Revised: June 14, 2025
Accepted: August 5, 2025
Published online: September 7, 2025
Processing time: 142 Days and 16.3 Hours
Revised: June 14, 2025
Accepted: August 5, 2025
Published online: September 7, 2025
Processing time: 142 Days and 16.3 Hours
Core Tip
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.