{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T03:26:05Z","timestamp":1789874765639,"version":"4.0.1"},"reference-count":38,"publisher":"Baishideng Publishing Group Inc.","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Gastroenterol"],"abstract":"<jats:p>BACKGROUND<\/jats:p>\n                  <jats:p>Crohn\u2019s 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.<\/jats:p>\n                  <jats:p>AIM<\/jats:p>\n                  <jats:p>To develop a method to identify CD and ITB with high accuracy, specificity, and speed.<\/jats:p>\n                  <jats:p>METHODS<\/jats:p>\n                  <jats:p>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.<\/jats:p>\n                  <jats:p>RESULTS<\/jats:p>\n                  <jats:p>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.<\/jats:p>\n                  <jats:p>CONCLUSION<\/jats:p>\n                  <jats:p>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.<\/jats:p>","DOI":"10.3748\/wjg.v30.i10.1377","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T08:50:24Z","timestamp":1710406224000},"page":"1377-1392","source":"Crossref","is-referenced-by-count":8,"title":["Differential diagnosis of Crohn\u2019s disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning"],"prefix":"10.3748","volume":"30","author":[{"given":"Yuan-Peng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian-Yu","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fu-Rong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Min","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen-Qiang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pei-Wen","family":"Guang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang-Yu","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin-Hao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2024,3,14]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(12)60026-9"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1440-1746.2006.04471.x"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(07)60751-X"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)31711-1"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1097\/QCO.0b013e3283306712"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1038\/ajg.2008.162"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1111\/1751-2980.12324"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v21.i12.3650"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1055\/s-2006-924996"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1038\/ajg.2009.585"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.5946\/ce.2016.090"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.4103\/jde.jde_48_16"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1111\/apt.13840"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1016\/j.crohns.2013.06.001"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1097\/MIB.0000000000000025"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.5946\/ce.2013.46.4.327"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1309\/DKKECWQWMG4J23E3"},{"key":"B18","unstructured":"Zhang T, Fan R, Wang Z, Hu S, Zhang M, Lin Y, Tang Y, Zhong J. 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