1.Clinical observation of Qingjie Huagong Decoction combined with western medicine in the treatment of severe acute pancreatitis complicated with cholelithiasis (bile duct stones)
Rihui ZHENG ; Guozhong CHEN ; Xiping TANG ; Tiechao YUAN ; Xin YANG ; Baijun QIN ; Caixing XIE
International Journal of Traditional Chinese Medicine 2022;44(2):145-149
Objective:To evaluate the clinical efficacy of TCM Qingjie Huagong Decoction combined with routine internal medicine in the treatment of severe acute pancreatitis with cholelithiasis (bile duct stones) in the early stage.Methods:Thirty-two patients with severe acute pancreatitis combined with cholelithiasis in the first affiliated Hospital of GuangXi University of Traditional Chinese Medicine were selected and randomly divided into two groups with 16 in each, both groups were treated for 14 days. Serum amylase (AMS) was detected by iodine-starch colorimetry, GOT and GPT were detected by continuous monitoring method, and CRP, IL-6 and procalcitonin (PCT) were detected by immune transmission turbidimetry. Acute Physiological and Chronic Health Score Ⅱ (APACHE Ⅱ), CT Severity Index Score (CTSI) and Modified Marshall Score were used to evaluate the severity of SAP. The recovery time of body temperature, the relief time of abdominal distension pain, the recovery time of bowel sounds and the total hospital stay were observed and recorded to evaluate the clinical effect.Results:The total effective rate was 93.8% (15/16) in the treatment group and 75.0% (12/16) in the control group. There was significant difference between the two groups ( χ2=8.19, P=0.042). After treatment, the level of AMS, WBC, CRP, PCT, AST, ALT and IL-6 in the treatment group were lower than those in the control group ( t values were 14.3, 7.24, 9.63, 5.48, 7.05, 7.33, 28.34, respectively, all Ps<0.05); After treatment, the time for body temperature to return to normal [(2.91±0.12)d vs. (3.78±0.38)d, t=8.76], the time for relief of abdominal distension pain [(4.77±0.68)d vs. (7.13±1.55)d, t=9.52], the time for recovery of bowel sounds [(3.90±1.80)d vs. (4.89±1.38)d, t=2.98] and the total hospital stay [(22.60±2.80)d vs. (30.37±3.89)d, t=7.88] in the treatment group were all significantly shorter than those in the control group ( P<0.01); APACHE Ⅱ, CTSI and the Modified Marshall Score in the treatment group were lower than those in the control group ( t values were 11.82, 12.72, 7.71, respectively, all Ps<0.01). Conclusion:Qingjie Huagong Decoction combined with ERCP and conventional western medicine therapy can reduce the level of inflammation in patients with cholelithiasis in the early stage of SAP, relieve clinical symptoms and improve clinical efficacy.
2.Quality control system based on artificial intelligence for improving imaging quality of chest CT
Meifang LI ; Caixing YUAN ; Zhimin ZHOU ; Kunlong YAN ; Yongping LIN ; Zhifang LI
Chinese Journal of Medical Imaging Technology 2024;40(2):285-289
Objective To observe the value of quality control system based on artificial intelligence(AI)for improving imaging quality of chest CT.Methods Totally 1 726 CT images obtained from 415 patients were retrospectively collected,among which 1 414 images were used for convolutional neural network(CNN)training and the rest 312 images were used for validation.Precision,Recall,F1-Score,mean average precision(mAP)and intersection over union(IOU)of quality control system based on AI for chest CT scanning were calculated.Meanwhile,21 patients with unsatisfactory chest CT who would undergo re-examination were prospectively enrolled,and chest CT scanning with quality control system based on AI were performed.The results of 2 examinations were compared.Results Precision,Recall,F1-Score,mAP and IOU of quality control system based on AI for chest CT were all good.All 21 cases were diagnosed correctly with re-examination CT based on quality control system.Among 21 cases,the first CT misdiagnosed 19 cases,the displaying of the area,volume and display quality of pulmonary nodules were not significantly different,but the morphology,boundaries,spiny protrusions,vacuolar signs,inflatable bronchial signs of nodules as well as the thickened and twisted blood vessels were obviously different between 2 times examination.The first CT missed 1 case while correctly diagnosed 1 case.Conclusion The quality control system based on AI was helpful for improving imaging quality of chest CT and increasing diagnostic efficacy.