Publication Name	World Journal of Gastroenterology
Manuscript ID	121435
DOI	10.3748/wjg.121435
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Computed tomography-based transformer model for non-invasive prediction of portal venous pressure in chronic liver diseases
Manuscript Source	Unsolicited Manuscript
All Author List	Xu Guo, Huan Tong, Wu-Que Cai, Jia-Yi He, Ting-Rui Han, Shuai-Jie Qian, Xin Quan, Ying Li, Bo Wei, Zhi-Dong Wang, Yang Tai, Da-Qing Guo and Hao Wu
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 82270649 Chengdu Science and Technology Program 2024-YF05-00564-SN
Corresponding Author	Hao Wu, PhD, Professor, Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, Sichuan Province, China. hxxhwh@163.com
Key Words	Portal hypertension; Hepatic venous pressure gradient; Transformer network; Computed tomography; Non-invasive prediction
Core Tip	This retrospective study developed and validated a non-invasive regression machine learning model to predict the hepatic venous pressure gradient values in chronic liver diseases. Utilizing the transformer network combined with transfer learning based on contrast-enhanced computed tomography images from four pivotal sections, our model efficiently predicted the entire spectrum of portal venous pressure (from 1 to 37 mmHg) and showed good diagnostic performance for clinically significant hepatic venous pressure gradient thresholds including 5, 10, 12, 16 and 20 mmHg, outperforming conventional non-invasive methods. Moreover, the time-saving approach in this study minimized region of interest delineation workload, demonstrating potential for routine clinical application.
Citation	Guo X, Tong H, Cai WQ, He JY, Han TR, Qian SJ, Quan X, Li Y, Wei B, Wang ZD, Tai Y, Guo DQ, Wu H. Computed tomography-based transformer model for non-invasive prediction of portal venous pressure in chronic liver diseases. World J Gastroenterol 2026; In press DOI: https://doi.org/10.3748/wjg.121435
PDF	121435-in-press.pdf

Received	2026-03-26 03:14
Peer-Review Started	2026-03-26 03:16
First Decision by Editorial Office Director	2026-05-27 05:50
Return for Revision	2026-05-27 05:50
Revised	2026-06-16 15:04
Publication Fee Transferred	2026-06-28 00:58
Second Decision by Editor	2026-07-06 08:06
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-07-06 09:37
Articles in Press	2026-07-06 09:37
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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