BPG is committed to discovery and dissemination of knowledge
Featured Articles
1/21/2025 9:38:29 AM | Browse: 286 | Download: 913
 |
Received |
|
2024-09-08 04:20 |
|
Peer-Review Started |
|
2024-09-08 04:20 |
|
First Decision by Editorial Office Director |
|
2024-11-26 10:51 |
|
Return for Revision |
|
2024-11-26 10:51 |
|
Revised |
|
2024-12-05 12:02 |
|
Publication Fee Transferred |
|
2024-12-06 13:54 |
|
Second Decision by Editor |
|
2025-01-14 02:46 |
 |
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2025-01-14 12:40 |
|
Articles in Press |
|
2025-01-14 12:40 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2025-01-20 00:32 |
|
Publish the Manuscript Online |
|
2025-01-21 08:51 |
| ISSN |
1949-8470 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 |
Retrospective Study |
| Article Title |
High-resolution direct magnetic resonance imaging fistulography with hydrogen peroxide for diagnosing anorectal fistula: A preliminary retrospective study
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Can-Can Chang, Long-Hu Qiao, Zhen-Qi Zhang, Xiao Tian, Yu Zhang, Wen-Wen Cheng, Xia Wang and Qing Yang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Bozhou Key Research and Development Project |
bzzc2020031 |
|
| Corresponding Author |
Qing Yang, Associate Professor, MD, Department of Medical Imaging, Anqing Hospital Affiliated to Anhui Medical University, No. 352 Renmin Road, Anqing 246000, Anhui Province, China. 56469225@qq.com |
| Key Words |
Key fistula-in-ano; Magnetic resonance imaging; Hydrogen peroxide; Perianal abscess; Fistulography |
| Core Tip |
High-resolution direct hydrogen peroxide (HP)-enhanced magnetic resonance imaging (MRI) fistulography offers superior visualization of complex and recurrent fistula-in-ano. It enhances diagnostic accuracy for internal openings, fistula tracks, and perianal abscesses, surpassing physical examination, trans-perineal ultrasound, and low-resolution MRI. With high sensitivity, specificity, and interobserver reliability, HPMRI aids precise surgical planning, reducing recurrence rates. This technique represents a valuable advancement in the preoperative assessment of anorectal fistulas, combining enhanced soft-tissue contrast with detailed anatomical visualization to address diagnostic challenges in intricate cases effectively. Future standardization and training could improve accessibility and further validate its clinical utility. |
| Publish Date |
2025-01-21 08:51 |
| Citation |
Chang CC, Qiao LH, Zhang ZQ, Tian X, Zhang Y, Cheng WW, Wang X, Yang Q. High-resolution direct magnetic resonance imaging fistulography with hydrogen peroxide for diagnosing anorectal fistula: A preliminary retrospective study. World J Radiol 2025; 17(1): 101221 |
| URL |
https://www.wjgnet.com/1949-8470/full/v17/i1/101221.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v17.i1.101221 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
