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 invest the risk factors associated with delayed hemorrhage after pancreaticoduodenectomy occurred.Methods:A retrospective analysis was performed from January 2012 to June 2015 Shengjing hospital 511 cases of patients who accepted pancreaticoduodenectomy.Results:The incidence of PD postoperative delayed hemorrhage was 8.81％ (45/511).Univariate analysis shows:Preoperative bilirubin levels,pancreatic fistula,biliary fistula,postoperative abdominal infection are all the meaningful related factors(P＜0.05).With the application of multivariate logistic regression analysis,pancreatic fistula (OR=2.158) and abdominal infection (OR=3.051) were independent risk factors for postoperative delayed hemorrhages (P＜0.05).Conclusion:Dealing with the postoperative complications of PD like pancreatic fistula,abdominal infection and others,early detection and rapid diagnosis and correct treatment can effectively reduce the incidence of delayed hemorrhage.