Differential diagnosis of Crohn's disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning

Li, Yuan-Peng1; Lu, Tian-Yu2; Huang, Fu-Rong3; Zhang, Wei-Min4; Chen, Zhen-Qiang3; Guang, Pei-Wen3; Deng, Liang-Yu3; Yang, Xin-Hao3

2024-03-14

10.3748/wjg.v30.i10.1377

WORLD JOURNAL OF GASTROENTEROLOGY   影响因子和分区

1007-9327

2219-2840

BACKGROUND 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. AIM To develop a method to identify CD and ITB with high accuracy, specificity, and speed. METHODS A total of 72 paraffin wax-embedded tissue sections were pathologically and clinically diagnosed as CD or ITB. 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. RESULTS The results showed that the paraffin wax-embedded specimens of CD and ITB were significantly different in their spectral signals at 1074 cm-1 and 1234 cm-1 bands, and the differential diagnosis model based on spectral characteristics combined with machine learning showed accuracy, specificity, and sensitivity of 91.84%, 92.59%, and 90.90%, respectively, for the differential diagnosis of CD and ITB. CONCLUSION 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.

Infrared spectroscopy Machine learning Intestinal tuberculosis Crohn's disease Differential diagnosis Inflammatory bowel disease

SCI

英语

其他

National Natural Science Foundation of China["61975069","62005056"] ; Natural Science Foundation of Guangxi Province[2021JJB110003] ; Natural Science Foundation of Guangdong Province[2018A0303131000] ; Academician Workstation of Guangdong Province[2014B090905001] ; Key Project of Scientific and Technological Projects of Guangzhou["201604040007","201604020168"]

Gastroenterology & Hepatology

Gastroenterology & Hepatology

WOS:001203193000013

BAISHIDENG PUBLISHING GROUP INC

CLINICAL MEDICINE

Web of Science

1.Guangxi Normal Univ, Coll Phys Sci & Technol, Guilin 541004, Guangxi, Peoples R China
2.South Univ Sci & Technol, Affiliated Hosp, Dept Gastroenterol, Shenzhen 518000, Guangdong, Peoples R China
3.Jinan Univ, Dept Optoelect Engn, Guangzhou 510632, Guangdong, Peoples R China
4.Southern Med Univ, Integrated Hosp Tradit Chinese Med, Dept Gastroenterol, 13 Shiliugang Rd, Guangzhou 510632, Guangdong, Peoples R China

Li, Yuan-Peng,Lu, Tian-Yu,Huang, Fu-Rong,et al. Differential diagnosis of Crohn's disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning[J]. WORLD JOURNAL OF GASTROENTEROLOGY,2024,30(10).

Li, Yuan-Peng.,Lu, Tian-Yu.,Huang, Fu-Rong.,Zhang, Wei-Min.,Chen, Zhen-Qiang.,...&Yang, Xin-Hao.(2024).Differential diagnosis of Crohn's disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning.WORLD JOURNAL OF GASTROENTEROLOGY,30(10).

Li, Yuan-Peng,et al."Differential diagnosis of Crohn's disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning".WORLD JOURNAL OF GASTROENTEROLOGY 30.10(2024).