1.Role of radiomics model in prediction of hematoma enlargement in early stage of hypertensive intracerebral hemorrhage
Jun YANG ; Ziming HOU ; Hao WANG ; Dongyuan LIU ; Huibin KANG ; Zhe HOU ; Sen WANG ; Hongbing ZHANG
Chinese Journal of Neuromedicine 2019;18(1):49-54
Objective To construct a radiomics model for predicting hematoma enlargement in early hypertensive intracerebral hemorrhage and explore its predictive value.Methods A retrospective collection of 212 patients with hypertensive intracerebral hemorrhage within 6 h of onset,admitted to our hospital from February 2010 to August 2018,was performed.CT examination was performed within half an hour of admission.CT re-examination was performed 24 h after admission to determine whether there was hematoma enlargement.The regions of interest were delineated on the first CT,and 431 image indicators were extracted from the Matlab software.The LASSO regression model was used to screen out the most predictive imaging features,and the selected features and support vector machine classifier (SVM) were used to build the prediction model.Receiver operating characteristic (ROC) curve was used to evaluate the predicted effect of the model.Results After 24 h of admission,the incidence of hematoma enlargement was 18.9% (40/212).Eighteen imaging ensemble features (including 4 first-order statistics features:standard deviation,kurtosis,uniformity,and variance;one shape-and size-based feature:surface to volume ratio;7 textual features:long run low grey level emphasis,inertia,correlation-angle 90,short run emphasis,correlation-all direction,long run emphasis,and inverse difference moment;6 wavelet features:autocorrelation-3,informational measure of correlation2-3,long run high gray level emphasis-4,short run high gray level emphasis-4,short run low gray level emphasis-7,and sum variance-3) were combined with SVM to establish a prediction model by LASSO regression model.The area under ROC curve was 0.928,enjoying sensitivity and specificity of 92.5% and 83.5%,respectively.Conclusion The constructed radiomics model is helpful in predicting the expansion of hypertensive cerebral hemorrhage.
2.A comparison of the efficacy between single-position robot-assisted laparoscopic and retroperitoneal laparoscopic nephroureterectomy in the treatment of upper urinary tract urothelial carcinoma
Wanrong XU ; Tianyu GAO ; Ziming KANG ; Cheng WANG ; Panfeng SHANG
Journal of Modern Urology 2025;30(4):315-321
Objective: To explore the clinical safety and efficacy of a single-position robot-assisted radical nephroureterectomy (RRUN) in the treatment of upper tract urothelial carcinoma (UTUC). Methods: A retrospective study was conducted on 136 UTUC patients who underwent RRUN (n=35) and laparoscopic radical nephroureterectomy (LRUN,n=101) in our hospital during Dec.2020 and Aug.2023.The perioperative and safety indicators of the two groups were compared.The intravesical recurrence-free survival (IVRFS),recurrence-free survival (RFS),and overall survival (OS) of the two groups were compared using Kaplan-Meier method. Results: There were no significant differences in the baseline data between the two groups (P>0.05).All surgeries were successfully completed without conversion to open surgery.RRUN demonstrated superior perioperative outcomes compared to LRUN in overall postoperative complication rate [37.1%(13/35) vs. 56.4%(57/101)],postoperative hospital stay [6(5,7) days vs. 7(6,8) days],and catheter indwelling time [3(2,4) days vs. 4(3,5) days],with statistically significant differences (P<0.05).Safety indicators of both surgical approaches were similar (P>0.05).Survival analysis showed no significant difference in oncological outcomes between the two groups [IVRFS (1 year:92.1%,2 years:85.2%),RFS (1 year:82.4%,2 years:74.9%),OS (1 year:90.6%,2 years:84.2%)] (P>0.05). Conclusion: Compared with retroperitoneal LRUN,single-position RRUN for UTUC demonstrates comparable safety and oncological efficacy,while offering significant advantages in perioperative outcomes such as reducing postoperative complication rate and shortening hospital stay.