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Articles Published Processes
3/14/2024 5:31:16 PM | Browse: 152 | Download: 304
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Received |
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2023-12-05 13:46 |
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Peer-Review Started |
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2023-12-05 13:46 |
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To Make the First Decision |
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Return for Revision |
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2024-01-04 09:44 |
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Revised |
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2024-01-15 10:57 |
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Second Decision |
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2024-02-25 02:38 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-02-25 04:41 |
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Articles in Press |
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2024-02-25 04:41 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-03-04 09:28 |
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Publish the Manuscript Online |
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2024-03-14 17:31 |
| 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: http://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 |
Review |
| Article Title |
Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Feng Yang, John A Windsor and De-Liang Fu |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Feng Yang, MD, PhD, Doctor, Doctor, Surgeon, Department of Pancreatic Surgery, Pancreatic Disease Institute, Huashan Hospital, Fudan University, 12 Central Urumqi Road, Shanghai 200040, China. yffudan98@126.com |
| Key Words |
Pancreatic fistula; Pancreaticoduodenectomy; Distal pancreatectomy; Central pancreatectomy; Prediction model; Machine learning; Artificial intelligence |
| Core Tip |
Postoperative pancreatic fistula (POPF) is a common complication following pancreatectomy, associated with increased morbidity and mortality. Optimizing prediction models for POPF is a critical focus in surgical research. Although over sixty models following pancreaticoduodenectomy have been documented, their predictive accuracy remains suboptimal across diverse populations. The validation of models after distal pancreatectomy is anticipated, while POPF prediction after central pancreatectomy requires further development and validation. Machine learning and big data analytics offer promising prospects for enhancing prediction model accuracy. Personalized prediction models and novel imaging technologies, such as AI-based radiomics, may further refine predictive models. |
| Publish Date |
2024-03-14 17:31 |
| Citation |
Yang F, Windsor JA, Fu DL. Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives. World J Gastroenterol 2024; 30(10): 1329-1345 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i10/1329.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i10.1329 |
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