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Articles Published Processes
8/17/2026 3:34:40 AM | Browse: 32 | Download: 80
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Received |
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2026-02-25 02:52 |
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Peer-Review Started |
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2026-02-25 02:52 |
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First Decision by Editorial Office Director |
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2026-03-20 09:48 |
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Return for Revision |
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2026-03-20 09:48 |
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Revised |
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2026-03-22 18:06 |
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Publication Fee Transferred |
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2026-03-23 10:24 |
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Second Decision by Editor |
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2026-05-25 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-05-25 06:41 |
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Articles in Press |
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2026-05-25 06:41 |
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Edit the Manuscript by Language Editor |
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2026-05-25 15:27 |
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Typeset the Manuscript |
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2026-08-03 09:22 |
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Publish the Manuscript Online |
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2026-08-17 03:34 |
| 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. |
| 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 |
Transplantation |
| Manuscript Type |
Basic Study |
| Article Title |
Sutureless portal vein reconstruction in porcine orthotopic liver transplantation using a microvascular coupler: A randomized study with artificial intelligence-assisted histopathology
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jun-Jie Li, Jian Yang, Yan Xie, Jia-Ming Shang, Jiang Li, Chi-Yi Chen, Li-Na Liu, Zhong-Ying Zhang, Bing-Hui Pan and Wen-Tao Jiang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Key Project of Scientific Research Plan of Tianjin Municipal Education Commission |
No. 2024ZXZD010 |
| Project of Tianjin Science and Technology Bureau Applied Basic Research |
No. 23JCYBJC01800 |
| Beijing Hepatobiliary Sympathy Foundation Special Fund |
No. iGandan-1082025-RGG009 |
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| Corresponding Author |
Wen-Tao Jiang, Chief Physician, Dean, Full Professor, Department of Liver Transplantation, First Central Hospital of Tianjin Medical University, No. 2 Baoshan West Road, Xiqing District, Tianjin 300380, China. jiangwentao@nankai.edu.cn |
| Key Words |
Microvascular anastomotic coupler; Sutureless anastomosis; Portal vein reconstruction; Porcine model; Liver transplantation; Artificial intelligence-assisted histopathology |
| Core Tip |
This randomized porcine orthotopic liver transplantation study evaluates a microvascular anastomotic coupler for sutureless portal vein reconstruction. Compared with hand-sewn anastomosis, the coupler shortened anastomosis time by about 12 minutes while maintaining 12-week patency and portal hemodynamics. Quantitative, artificial intelligence-assisted (human-verified) histopathology demonstrated fewer inflammatory cells and smaller necrotic areas around the anastomosis, supporting a favorable local tissue response. These findings indicate that a simple, standardized coupler can reduce warm ischemia and technical variability without sacrificing vascular integrity, offering a practical pathway to streamline portal reconstruction in liver transplantation. |
| Publish Date |
2026-08-17 03:34 |
| Citation |
Li JJ, Yang J, Xie Y, Shang JM, Li J, Chen CY, Liu LN, Zhang ZY, Pan BH, Jiang WT. Sutureless portal vein reconstruction in porcine orthotopic liver transplantation using a microvascular coupler: A randomized study with artificial intelligence-assisted histopathology. World J Gastrointest Surg 2026; 18(8): 120360
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| URL |
https://www.wjgnet.com/1948-9366/full/v18/i8/120360.htm |
| DOI |
https://doi.org/10.4240/wjgs.120360 |
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.
