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World J Gastroenterol ; 30(10): 1377-1392, 2024 Mar 14.
Article in English | MEDLINE | ID: mdl-38596500

ABSTRACT

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.


Subject(s)
Crohn Disease , Enteritis , Tuberculosis, Gastrointestinal , Humans , Crohn Disease/diagnosis , Crohn Disease/pathology , Spectroscopy, Fourier Transform Infrared , Diagnosis, Differential , Paraffin , Tuberculosis, Gastrointestinal/diagnosis , Tuberculosis, Gastrointestinal/pathology , Enteritis/diagnosis , Machine Learning , Ataxia Telangiectasia Mutated Proteins
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