1.Surgical treatment of constipation
Xianghu ZHU ; Xuchen GONG ; Wen BAO
International Journal of Surgery 2008;35(7):492-494
To analyze the reasons for the formation of constipation,the causes,clinical manifestations,surgical indications and surgical treatment were analyzed,focusing on slow transit constipation,outlet obstruction constipation and mixed constipation.Grasping surgery indications is stressed in surgical treatment of constipation.Only appropriate procedure can obtain satisfactory results.
2.Clinical analysis of 52 patients with ischemic colitis
Xianghu ZHU ; Feng WANG ; Xuchen GONG ; Min CHENG
International Journal of Surgery 2011;38(5):312-314
Objective To investigate clinical and endoscopic features of isehemic colitis(IC)to further enhance the awareness of the disease.Methods A retrospective analysis from June 1999 to August 2009,52of IC patients with clinical presentation and endoscopic findings were recorded and restrospectively analysed.Results Thirty-eight patients(73.08%)had vascular disease,with clinical manifestations of acute abdominal pain,diarrhea,blood in the stool and fever.Sigmoid colon lesions occurred in 35 cases(67.31%),lesions 4-30 cm.Condusions Abdominal pain is a clinical feature of acute ischemic colonic disease,endescoPy is an effective way to diagnose this disease,raise awareness of the disease,especially for those complicated with underlying diseases,and early colonoscopy are important for a definite diagnosis of IC.
3.Correlation study between quantitative characteristics of CT lung opacification based on machine learning and clinical subtypes and severity of lung injury of COVID-19
Tong ZHU ; Lu HUANG ; Xianghu YAN ; Tao AI ; Yi LUO ; Pengxin YU ; Liming XIA ; Dazhong TANG
Chinese Journal of Radiology 2021;55(3):239-244
Objective:To investigate the value of chest CT quantitative index in clinical classification and lung injury severity evaluation of COVID-19.Methods:The current study retrospectively analyzed the clinical and CT data of 438 patients with COVID-19 between January 2020 and March 2020 in Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology. The clinical types included common type ( n=146), severe type ( n=247) and critical type ( n=45). The chest CT indexes of all patients were quantitatively analyzed by artificial intelligence (AI) deep learning, including whole lung volume, CT lung opacification, ground glass opacification volume (GGO volume; CT value<-300 HU), solid opacification volume (SO volume; CT value ≥-300 HU) and the ratio of volume to the whole lung volume, the ratio of SO volume to GGO volume (SO volume/GGO volume). Kruskal-Wallis test was used to conduct statistical analysis of the differences in quantitative parameters among clinical types, and multiple ordered logistic regression was used to analyze the correlation between quantitative parameters and clinical types. Results:Among the 438 patients diagnosed with COVID-19, severe and critical patients were older ( P<0.05), and most of the critical patients were male ( P<0.05). The main clinical manifestations of all clinical types were fever, followed by cough, fatigue, chest tightness, dyspnea, gastrointestinal symptoms and so on. GGO volume was the main CT manifestation of all the three clinical subtypes. The whole-lung opacification volume, GGO volume, SO volume and their proportions in whole-lung volume significantly increased from common, severe to critical types (all P<0.05). SO volume/GGO volume increased with the severity of clinical type [common type 0.12 (0.03, 0.34), severe type 0.29 (0.11, 0.59), critical type 0.61 (0.39, 0.97)]. Multiple ordered logistic regression analysis showed that whole-lung opacification volume (OR=1.009), SO volume/GGO volume (OR=1.866), GGO volume (OR=1.008) and SO volume (OR=1.016) had a significant positive effect on the severity of clinical typing ( P<0.01). Conclusion:Quantitative indicators of chest CT based on deep learning algorithm (SO volume, GGO volume, SO volume/GGO volume) are closely related to the clinical severity of COVID-19.
4.Establishment and clinical application of time-resolved immunofluorometric assay for seurm CⅣ(collagenⅣ) measurement
Xianghu JIANG ; Hao PEI ; Biao HUANG ; Lan ZHU ; Jinjuan QIAN ; Ruiyun JI ; Huimin WANG
Chinese Journal of Clinical Laboratory Science 2006;0(03):-
Objective To establish a time-resolved immunofluorometric assay (TRFIA) to detect seurm CⅣ(collagenⅣ). Methods The antibodies to CⅣwere coated on mircoplate and the europium-labeled monoclonal antibody of CⅣ. The luminescent enhancement system was used as enhancement solution which contained mainly 2-naphthoy trifluoroacetone. we established A sandwich time-resolved fluoroimmunoassay (TRFIA) was established to measure the seurm CⅣin 127 patients with hepatitis and 30 normal controls. Results The sensitivity of assay was 12. 8?g/L. The coefficient of variation for inner-batch and inter-batch were 4. 54% and 8. 06%,respectively. The recovery was 98. 6%. The serum level of CⅣwas 46. 06?22. 21?g/L in normal control,47. 25?22. 58?g/L in acute hepatitis, 129.01?53.68?g/L in mild chronic hepatitis,277. 90?92.36?g/L in moderate chronic hepatitis,413.90?162.24?g/L in serious chronic hepatitis,568. 60?210.40?g/L in liver cirrhosis. As compared to normal control,higher concentrations of CIV (P