RESUMO
Objective:To investigate the clinical application value and safety of magnetically controlled capsule gastroscopy (MCCG) in gastric and duodenal examination of children in comparison with conventional gastroscopy.Methods:Data of 160 outpatients or inpatients with abdominal pain accompanied by Helicobacter pylori infection aged 8-16 who underwent either MCCG or conventional gastroscopy in Shanghai Children's Hospital from March 2020 to March 2022 were retrospectively analyzed. Children were divided into the MCCG group ( n=80) and the conventional gastroscopy group ( n=80) according to different examination methods. The detection and examination time of lesions in upper gastrointestinal tract, tolerance and safety between the two groups were analyzed. Results:MCCG was successfully performed in 79 children and conventional gastroscopy was successfully performed in 78 children, respectively. The positive detection rates were 1.3% (1/79) and 1.3% (1/78) in the esophagus ( χ2=0.000, P>0.999), 87.3% (69/79) and 91.0% (71/78) in the stomach ( χ2=0.552, P=0.327) , 15.2% (12/79) and 19.2% (15/78) in duodenum ( χ2=0.450, P=0.533) with no significant difference between the two groups. There was no significant difference in the examination time [72.0 (41.0, 109.5) min VS 6.0 (4.3, 7.0) min, U=24, P<0.001] in the MCCG group and the conventional gastroscopy group. No adverse event occurred in either group. Conclusion:There is no significant difference in the detection rate of gastric and duodenal lesions between the MCCG group and the conventional gastroscopy group. MCCG is safe and stable, and can be used as an diagnostic tool for gastric and duodenal diseases in children.
RESUMO
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.
RESUMO
With the development and popularization of endoscopic technology and the concept of digestive system cancer screening, the clinical application of magnetically controlled capsule gastroscopy (MCCG) is further highlighted. In recent years, various types of MCCG and optimization technology are widely used and developed rapidly. It is of great guiding significance to develop relevant guidelines. Based on clinical evidence, this guideline fully consulted experts’ opinions to make statements and recommendations on the aspects of definition, diagnostic accuracy, application population, technical optimization, inspection process and quality control of MCCG. The quality of evidence and the strength of recommendations were evaluated, and the guideline is expected to better guide the standardized application and scientific innovation of MCCG for the reference of clinical medical staff.