| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
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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 |
Observational Study |
| Article Title |
Differential diagnosis of Crohn’s disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yuan-Peng Li, Tian-Yu Lu, Fu-Rong Huang, Wei-Min Zhang, Zhen-Qiang Chen, Pei-Wen Guang, Liang-Yu Deng and Xin-Hao Yang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
No. 61975069 and No. 62005056 |
| Natural Science Foundation of Guangxi Province |
No. 2021JJB110003 |
| Natural Science Foundation of Guangdong Province |
No. 2018A0303131000 |
| Academician Workstation of Guangdong Province |
No. 2014B090905001 |
| Key Project of Scientific and Technological Projects of Guangzhou |
No. 201604040007 and No. 201604020168 |
|
| Corresponding Author |
Wei-Min Zhang, PhD, Chief Physician, Director, Director, Department of Gastroenterology, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, No. 13 Shiliugang Road, Haizhu District, Guangzhou 510632, Guangdong Province, China. weigert@163.com |
| Key Words |
Infrared spectroscopy; Machine learning; Intestinal tuberculosis; Crohn’s disease; Differential diagnosis; Inflammatory bowel disease |
| Core Tip |
Crohn’s disease (CD) is often misdiagnosed as intestinal tuberculosis (ITB). However, the treatment and prognosis of these two diseases are dramatically different. Therefore, it is important to develop a method to identify CD and ITB with high accuracy, specificity, and speed. For the first time the paraffin wax-embedded tissue sections were attached to a metal coating and measured using attenuated total reflectance fourier transform infrared spectroscopy at mid-infrared wavelengths combined with XGBoost for differential diagnosis of CD and ITB. Information on the mid-infrared region can reveal the different histological components of CD and ITB at the molecular level, and spectral analysis combined with machine learning to establish a diagnostic model is expected to become a new method for the differential diagnosis of CD and ITB. |
| Publish Date |
2024-03-14 17:31 |
| Citation |
Li YP, Lu TY, Huang FR, Zhang WM, Chen ZQ, Guang PW, Deng LY, Yang XH. Differential diagnosis of Crohn’s disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning. World J Gastroenterol 2024; 30(10): 1377-1392 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i10/1377.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i10.1377 |
