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Objective:To explore the marking method for magnetically controlled capsule gastroscopy (MCCG) pictures with artificial intelligence (AI), so as to improve the work efficiency of endoscopist and to reduce the blind area of AI image reading.Methods:According to the consensus of MCCG, 24 parts of stomach in 14 775 pictures of MCCG from 35 subjects in Shenzhen Zifu Medical Technology Co., Ltd received MCCG from March to August, 2020 were marked by ten gastroenterologists and one developer of MCCG with medical background, the marking shape included rectangles and polygons. Among the ten gastroenterologists, three were senior endoscopist (the total number of gastroenteroscopy operations over 80 000, chief physician or associate chief physician), four were medium seniority endoscopist (the total number of gastroenteroscopy operations between 10 000 and 80 000, associate chief physician), and three were junior endoscopist (the total number of gastroenteroscopy operations less than 10 000, attending physician). The pictures of the same subject were pre-marked by two selected senior endoscopists with blind method, and the standard of marking with most appropriate coincidence rate was determined. The qualified marked pictures were automatically learn with AI deep learning method, and the learning results were fed back. Chi square test was used for statistical analysis.Results:According to the pre-marked results, the standard of coincidence rate for rectangular marking area was set as 50.0% and that for polygon marking area was 70.0%. The first correction for qualified rate was 39.0% (5 762/14 775). A total of 9 013 pictures were corrected. After repeated training and correction for one to five times, all pictures were qualified marked. The marking qualified rate of senior endoscopist partners was higher than that of partners of different qualifications (48.7%, 1 200/2 466 vs. 19.0%, 825/4 337), and the difference was statistically significant ( χ2=659.20, P<0.001). There was no statistically significant difference in the marking qualified rate between the senior endoscopist partners and partners of senior endoscopist and capsule developer (48.7%, 1 200/2 466 vs. 49.6%, 1 496/3 019; P>0.05). Conclusions:Establishment of AI marking method for MCCG can provide technical support for AI non-blind area reading, and AI non-blind area monitoring during the operation of MCCG.
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Objective To investigate the effects of GW4064,one FXR agonist,on the leptin and OB-Rb during the differentiation of 3T3-L1 preadipocytes and on the OB-Rb in the HepG2 cells. Methods The mRNA relative expression of leptin , OB-Rb and the protein of leptin on the day of 0 , 2 , 4 , 6 , 8 during the differentiation of 3T3-L1 preadipocytes after interfered with GW4064 were detected by fluorescent real-time PCR and ELISA , respectively. Meanwhile , the mRNA relative expression of OB-Rb of HepG2 cells after treated with GW4064 0 h , 12 h,24 h,48 h were also examined. Results The mRNA relative expression of leptin in the 3T3-L1 preadipocytes and OB-Rb in the HepG2 cells after treated with GW4064 were significantly increased compared with the controlgroup. Also, the protein level of leptin was similar with the mRNA expression. The all differences were statistically significance (P0.05). Conclusions GW4064 is able to upregulate the expression of leptin in the 3T3-L1 preadipocytes and OB-Rb in the HepG2 cells. Now the role of leptin in the NAFLD is still unkown, however, the low expression of OB-Rb is related with the leptin resistance in the pathogenesis of NAFLD. So we hypothesize that FXR agonist may treat NAFLD through upreglating the expression of OB-Rb and improving leptin resistance.
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Objective To study the relationship between the imaging patterns of microvasculature change and histological diagnosis.MethodsOne hundred and thirty-seven patients with esophageal mucosa roughness,erosion,plaque,abnormal color and indentation in conventional endoscopy and thirty healthy volunteers were enrolled in this study.The magnifying endoscopy images were graded as four patterns by intraepithelial papillary capillary loop(IPCL) changes by NBI .The biopsies underwent pathologic evaluation.The imaging patterns of endoscopy and histological diagnosis were compared and statistically analyzed.Results137 patients were diagnosed by narrow-band imaging system with magnifying endoscopy combined miniprobe sonography.Among these patients,27 cases were pathologically diagnosed as squamous cancer including 15 cases of early esophageal cancer,21 cases were high grade intraepithelial neoplasia,23 cases were low grade intraepithelial neoplasia,66 cases were chronic inflammation.100% esophageal carcinoma and high grade intraepithelial neoplasia were Ⅳ,Ⅲ type IPCL,56.52% low grade intraepithelial neoplasia was Ⅲ type IPCL,43.48% wasⅡtype IPCL,90.91% esophagitis wasⅡtype IPCL.100% esophageal normal mucosa wasⅠtype IPCL.The difference was significant among esophageal carcinoma,high grade intraepithelial neoplasia and esophagitis,esophageal normal mucosa (P＜0.05).ConclusionsThe imaging patterns of microvasculature change under NBI magnifying endoscopy were crucial in the diagnosis and identification of benign and malignant of esophageal disease.