Objective:To explore the diagnostic value of preoperative diffusion weighted imaging (DWI) histogram parameters in the depth of invasion of early rectal cancer.Methods:A total of 180 patients with early rectal cancer admitted to 904th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army from August 2020 to August 2024 were selected as the study objects. Patients were divided into intramucosal cancer group ( n=102) and submucosal cancer group ( n=78) according to the depth of tumor invasion. The general data of the two groups were compared. The intraclass correlation coefficient (ICC) was used to analyze the consistency of DWI histogram parameters extracted by the two radiologists, and the differences between the two groups were compared. Receiver operator characteristic (ROC) curve was used to analyze the predictive value of each parameter to the depth of tumor invasion. Multivariate logistic regression was used to analyze the independent influencing factors of invasion depth, and a predictive model was constructed. The ROC curve was drawn to analyze the predictive value of the model for tumor invasion depth, and the Hosmer-Lemeshow test was used to analyze the goodness of fit of the model. Results:There were statistically significant differences in age ( t=8.15, P<0.001), maximum tumor diameter ( χ2=29.29, P<0.001), endoscopic type ( χ2=20.96, P<0.001), histological type ( χ2=24.93, P<0.001) and differentiation degree ( χ2=73.35, P<0.001) between intramucosal cancer group and submucosal cancer group. The mean, variance, skewness, kurtosis, the 1 st, 10 th, 50 th, 90 th, and 99 th percentiles of the histogram parameters of DWI had good consistency (all ICC>0.75). There were statistically significant differences in the mean ( t=5.69, P<0.001), variance ( t=9.75, P<0.001), skewness ( t=10.88, P<0.001), kurtosis ( t=10.06, P<0.001), the 1 st percentile ( t=3.43, P<0.001), 10 th percentile ( t=3.59, P<0.001), 50 th percentile ( t=9.97, P<0.001), 90 th percentile ( t=4.63, P<0.001), and 99 th percentile ( t=2.44, P=0.016) of the DWI histogram parameters between the intramucosal cancer group and the submucosal cancer group. ROC curve analysis results showed that mean [area under the curve (AUC) =0.77], variance (AUC=0.88), skewness (AUC=0.88), kurtosis (AUC=0.78), 50 th percentile (AUC=0.86) and 90 th percentile (AUC=0.82) had certain diagnostic value for submucous cancer. Multivariate analysis showed that age ( OR=9.98, 95% CI: 1.10-90.70, P=0.041), maximum tumor diameter ( OR=7.36, 95% CI: 1.08-50.23, P=0.042), and differentiation degree ( OR=19.88, 95% CI: 1.21-327.92, P=0.037), variance ( OR=16.24, 95% CI: 2.26-116.68, P=0.006), skewness ( OR=21.13, 95% CI: 2.80-59.61, P=0.003), 1 st percentile ( OR=9.78, 95% CI: 1.17-81.76, P=0.035) were independent factors in predicting tumor invasion depth in patients with early rectal cancer. The predictive model based on the above indicators was logit ( P) =1.51+2.30×age+2.00×maximum tumor diameter+2.99×differentiation degree+2.79×variance+3.05×skewness+ 2.28×the 1 st percentile. ROC curve analysis showed that the predictive model had an AUC of 0.97 (95% CI: 0.95-0.99) for judging the occurrence of submucosal cancer in patients with early rectal cancer, the sensitivity was 0.95, and the specificity was 0.88. The Hosmer-Lemeshow test results showed that the goodness of fit of the model was ideal ( P=0.823) . Conclusions:Age, maximum tumor diameter, differentiation degree, variance, skewness, and the 1 st percentile are independent factors in predicting tumor invasion depth in patients with early rectal cancer. The predictive model constructed based on these factors can effectively predict the risk of submucosal cancer in patients with early rectal cancer.

Objective To explore the value of 3D digital subtraction angiography(DSA)in neurointerventional surgery for ruptured intracranial aneurysm.Methods Clinical data of 176 patients with ruptured intracranial aneurysms who underwent neurointerventional surgery at No.904 Hospital of Joint Logistics Support Force from January 2020 to March 2023 were retrospectively analyzed.All patients were diagnosed with intracranial aneurysms through CT angiography and underwent 2D and 3D DSA examinations.The display of distal blood vessels and branches,detection rates of aneurysms,display of the relationship between the aneurysm neck and parent artery,and display of the vessels penetrated by aneurysms were recorded.Results There was no significant difference between the 2D-DSA and 3D-DSA technologies in displaying distal blood vessels and branches(P>0.05).The detection rate of aneurysms by 3D-DSA was 99.43%(175/176),which was significantly higher than that by 2D-DSA(89.20%,157/176),with statistical difference(P<0.05).The detection rate of common cystic aneurysm by 3D-DSA was significantly higher than that by 2D-DSA(66.86%vs 47.16%,P<0.05).Unclear relationship between the aneurysm neck and parent artery was found in 108 patients(61.36%)by 2D-DSA and in 68 patients(38.64%)by 3D-DSA(13.64%),and there was significant difference in the detection rate of the unclear relationship between 2D-DSA and 3D-DSA(P<0.05).No penetrating blood vessels were detected by 2D-DSA,while 20(11.36%)penetrating blood vessels were detected by 3D-DSA(P<0.05).Conclusion 3D-DSA technique can improve the detection rate of aneurysms,and has high diagnostic value for the morphology of aneurysms and their relationship with the parent artery.

Objective To study the superiority of severe multiple trauma treatment model based on damage control strategy. Methods In the intergrated injury first-aid mode, the intensive care unit-guided damage control strategy was used to treat severe multiple trauma. Results A total of 789 severe multiple damage patients were treated with damage control strategies in our hospital from December 2018 to December 2018. Sixty-nine patients died and the survival rate was 91.25％. Conclusions The intensive care unit-guided trauma control strategy has a satisfactory clinical effect in the treatment of patients with severe multiple trauma.