| 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 |
Fu-Rong Huang, N/A, Chief, Professor, Department of Optoelectronic Engineering, Jinan University, <label>4</label><email>furong_huang@163.com</email>, Guangzhou 510632, Guangdong Province, China. furong_huang@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 |
