BACKGROUND Single-balloon enteroscopy(SBE)is an established procedure for evaluating small bowel lesions.While its efficacy is well recognized,the incidence of major complications and their associated risk factors in ...BACKGROUND Single-balloon enteroscopy(SBE)is an established procedure for evaluating small bowel lesions.While its efficacy is well recognized,the incidence of major complications and their associated risk factors in a large population remain unclear.AIM To investigate the complications and risk factors associated with diagnostic SBE.METHODS This multicenter retrospective study included consecutive patients who underwent diagnostic SBE at three tertiary care hospitals between January 2016 and September 2024.Data on baseline characteristics,procedural parameters,indications,findings,and major complications were collected and analyzed.RESULTS A total of 2865 SBE procedures were performed in 1840 patients.The mean age was 51±18 years,and 64.5%were male.The most common indication was obscure gastrointestinal bleeding(57.1%),followed by abdominal pain(30.5%).The major complication rate was 0.4%(7/1840),all of which involved acute intestinal perforation identified during the procedure.Among the perforation cases,6 occurred in patients undergoing SBE for abdominal pain and 1 for obscure gastrointestinal bleeding.The perforation sites included the ileum(6/7)and duodenum(1/7).All cases were successfully managed surgically.Previous abdominal surgery and the use of abdominal compression were significantly associated with an increased risk of perforation(P value<0.001 for both).In subgroup analysis,perforation rates were 2.1%(6/288)in patients with prior abdominal surgery and 1.6%(7/428)with abdominal compression.CONCLUSION Acute intestinal perforation is a rare but serious complication.Prior abdominal surgery and abdominal compression are important risk factors,and careful patient selection is recommended to minimize complications.展开更多
In order to effectively improve the pathological diagnosis capability and feature resolution of 3D human brain CT images,a threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel ...In order to effectively improve the pathological diagnosis capability and feature resolution of 3D human brain CT images,a threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is proposed in this paper.In this method,first,original 3D human brain image information is collected,and CT image filtering is performed to the collected information through the gradient value decomposition method,and edge contour features of the 3D human brain CT image are extracted.Then,the threshold segmentation method is adopted to segment the regional pixel feature block of the 3D human brain CT image to segment the image into block vectors with high-resolution feature points,and the 3D human brain CT image is reconstructed with the salient feature point as center.Simulation results show that the method proposed in this paper can provide accuracy up to 100%when the signal-to-noise ratio is 0,and with the increase of signal-to-noise ratio,the accuracy provided by this method is stable at 100%.Comparison results show that the threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is signicantly better than traditional methods in pathological feature estimation accuracy,and it effectively improves the rapid pathological diagnosis and positioning recognition abilities to CT images.展开更多
文摘BACKGROUND Single-balloon enteroscopy(SBE)is an established procedure for evaluating small bowel lesions.While its efficacy is well recognized,the incidence of major complications and their associated risk factors in a large population remain unclear.AIM To investigate the complications and risk factors associated with diagnostic SBE.METHODS This multicenter retrospective study included consecutive patients who underwent diagnostic SBE at three tertiary care hospitals between January 2016 and September 2024.Data on baseline characteristics,procedural parameters,indications,findings,and major complications were collected and analyzed.RESULTS A total of 2865 SBE procedures were performed in 1840 patients.The mean age was 51±18 years,and 64.5%were male.The most common indication was obscure gastrointestinal bleeding(57.1%),followed by abdominal pain(30.5%).The major complication rate was 0.4%(7/1840),all of which involved acute intestinal perforation identified during the procedure.Among the perforation cases,6 occurred in patients undergoing SBE for abdominal pain and 1 for obscure gastrointestinal bleeding.The perforation sites included the ileum(6/7)and duodenum(1/7).All cases were successfully managed surgically.Previous abdominal surgery and the use of abdominal compression were significantly associated with an increased risk of perforation(P value<0.001 for both).In subgroup analysis,perforation rates were 2.1%(6/288)in patients with prior abdominal surgery and 1.6%(7/428)with abdominal compression.CONCLUSION Acute intestinal perforation is a rare but serious complication.Prior abdominal surgery and abdominal compression are important risk factors,and careful patient selection is recommended to minimize complications.
文摘In order to effectively improve the pathological diagnosis capability and feature resolution of 3D human brain CT images,a threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is proposed in this paper.In this method,first,original 3D human brain image information is collected,and CT image filtering is performed to the collected information through the gradient value decomposition method,and edge contour features of the 3D human brain CT image are extracted.Then,the threshold segmentation method is adopted to segment the regional pixel feature block of the 3D human brain CT image to segment the image into block vectors with high-resolution feature points,and the 3D human brain CT image is reconstructed with the salient feature point as center.Simulation results show that the method proposed in this paper can provide accuracy up to 100%when the signal-to-noise ratio is 0,and with the increase of signal-to-noise ratio,the accuracy provided by this method is stable at 100%.Comparison results show that the threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is signicantly better than traditional methods in pathological feature estimation accuracy,and it effectively improves the rapid pathological diagnosis and positioning recognition abilities to CT images.
