Song LJ, Xiao B. Medical imaging for pancreatic diseases: Prediction of severe acute pancreatitis complicated with acute respiratory distress syndrome. World J Gastroenterol 2022; 28(44): 6206-6212 [PMID: 36504558 DOI: 10.3748/wjg.v28.i44.6206]
Corresponding Author of This Article
Bo Xiao, MD, PhD, Associate Professor, Doctor, Teacher, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Street, Nanchong 637000, Sichuan Province, China. xiaoboimaging@163.com
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
World J Gastroenterol. Nov 28, 2022; 28(44): 6206-6212 Published online Nov 28, 2022. doi: 10.3748/wjg.v28.i44.6206
Medical imaging for pancreatic diseases: Prediction of severe acute pancreatitis complicated with acute respiratory distress syndrome
Ling-Ji Song, Bo Xiao
Ling-Ji Song, Bo Xiao, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
Author contributions: Xiao B designed the research study; Song LJ and Xiao B performed the research, analyzed the data, and wrote the manuscript; and all authors have read and approved the final manuscript.
Supported bythe Nanchong City College Cooperative Research Project, No. 19SXHZ0282; and Medical Imaging Key Laboratory of Sichuan Province, No MIKLSP202008.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: Bo Xiao, MD, PhD, Associate Professor, Doctor, Teacher, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Street, Nanchong 637000, Sichuan Province, China. xiaoboimaging@163.com
Received: September 12, 2022 Peer-review started: September 12, 2022 First decision: October 4, 2022 Revised: October 15, 2022 Accepted: November 17, 2022 Article in press: November 17, 2022 Published online: November 28, 2022 Processing time: 73 Days and 11.9 Hours
Core Tip
Core Tip: Respiratory failure has been confirmed to be the most common type of organ failure in acute pancreatitis (AP) and is closely related to high mortality. Acute respiratory distress syndrome (ARDS) is one of the most common patterns of respiratory failure in AP and is still a little-known disease. Although some studies have shown that it is promising to predict the results of AP-related ARDS, the preventive strategies for ARDS development are still in their infancy. For this reason, we need to establish a simple and valuable new prediction model, combined with chest computed tomography findings, to early identify high-risk patients with severe AP and ARDS and help clinicians take timely intervention measures to prevent disease progression.
