1.Emergent reconstruction and repair of thumb and finger defect by toes and combined toes transplantation
Chongjie LI ; Jie ZHAN ; Qiang SHI ; Jinsheng WU ; Defeng SHA ; Yang YAO ; Xiaoxu LIANG ; Furong TIAN ; Sixia WANG
Chinese Journal of Microsurgery 2008;31(3):172-174,illust 2
Objective To explore the method and effect of thumb and finger reconstruction and repair by emergent primary toes transplantation. Methods Three hundred and fourteen fingers of 282 cases including finger thumb defect and complex injury with hyperthena palm radid soft tissue of forearm were reconstructed and repaired by the second toes, wrap-around flap and the second third toes wrap-around flap combined with distal flap of leg or other complex tissue flap transplantation. Results Three hundred and eight reconstructed fingers survived, the survival rate was 98%. After a follow up to 6 months to 6 years, the reconstructed thumbs and fingers have accepted nip, grasp, opponent function. The result was graded as excellent in 214 fingers, good in 63, fair in 26, poor in 5. The excellent and good rate was 88%according to the upper limb functional evaluation criteria issued by the Hand Surgery Society of the Chinese Medical Association. Conclusion Different type of toes and combined toes transplantation can obtain preferable clinical effect on emergent primary thumb and finger defect.
2.Application of random forest model based on CT images and clinical data in preoperative T staging of colorectal cancer
Sha SA ; Jing LI ; Xiaodong LI ; Yongrui LI ; Xiaoming LIU ; Yu FU ; Defeng WANG ; Huimao ZHANG
Chinese Journal of Radiology 2017;51(12):933-938
Objective To investigate the diagnostic value of random forest(RF)model based on CT images and clinical data for preoperative T staging of colorectal cancer. Methods Four hundred and fifty patients with colorectal cancer who were pathologically confirmed by surgery and underwent preoperative CT examinationinthe first hospital of Jilin university from January 2016 to July 2016 were included retrospectively(Stage≤T2,T3,and T4 each has 150 cases).According to the ratio of 2:1,the patients were divided into training set(300 cases)and test set(150 cases,stage ≤T2,T3,and T4 each has 50 cases)by computer random software. Each of 450 patients had one lesion. All the patients underwent preoperative abdominal and pelvic contrast-enhanced CT scan.The clinical,imaging and pathological data[gender,age, carcinoembryonic antigen (CEA) level, carbohydrate antigen 19-9 (CA19-9) expression, intestinal wall deformation, maximum diameter of tumorand thickness of intestinal wall, location, enhancement homogeneity and enhancement rate]of these patients were collected.The correlation between the collected factors and pathological T staging was analyzed by Spearman correlation analysis.The preoperative staging model of colorectal cancer was established by RF algorithm in the training set.Two kinds of methods(model and traditional method)were used to diagnose T stage of the patients in the test set.The accuracy of the two methods was calculated by postoperative pathological staging as the gold standard.The consistency test was used to evaluate the consistency of the RF model results with the pathological results. Results T-staging was positively correlated with CEA, CA19-9, intestinal wall deformation, tumor size and thickness of intestinal wall(r=0.449,0.291,0.624,0.573,0.386;P<0.05).Age,location,enhancement homogeneity and enhancement rate were slightly negatively correlated with T-staging(r=-0.115,-0.245,-0.120 and-0.339;P<0.05).The predictive results of the model in≤T2,T3,and T4 stage cancers were moderately and highly consistent with the standard of pathology,and the Kappa value were 0.769,0.615 and 0.800,respectively.The total accuracy rate of the model andthe traditional method are 80.7%(121/150)and 54.0%(81/150). Conclusion Application of random forest model based on multi-slice spiral CT images and clinical data can improve the diagnostic efficacy of preoperative T stage of colorectal cancer.