Objective To evaluate urgent selective arterial embolization to treat massive postpartum hemorrhage. Methods Twenty seven patients with ages of 21～53 years undengoing severe postpartunm hemorrhage, were due to centrol placenta previa, uterine atony, birth canal trauma, placenta accretio, cervical pregnancy etc. All of the patients had lost a volume of blood about 1 000ml to 5 000ml while the hemorrhage could not be controlled with vaginal packing and administration of uterotonic drugs. Urgent hemostatic embolization was performed for them. After angiography, super selective catheterization was performed for bilateal anterior division of internal iliac branch of uterine arteries and embolized with Gelfoam particles. Results Catheterization success rate was 96.3%. Angiography showed ectopic uterine artery in one case. Immediate block of hemorrhage took place in 22 cases and gradual hemostasis appeared in 4 cases, the efficacy rate was 96.3%. The one with ectopic uterine artery was operated upon to ablate the uterus. 11 patients with (bleeding) shock and 8 patients with DIC were all saved. Conclusions Urgent arterial embolization is an ideal method for treating life threatening postpartum hemorrhage. The procedure saves the maternal uterus and is also effective for postpartum DIC.

Objective: To explore the value of CT texture analysis (CTTA) in differentiating the pathological grade of urothelial carcinoma of the bladder (UCB). Methods: A total of 53 lesions from 43 patients with bladder cancer confirmed by postoperative pathology were retrospectively analyzed, including 27 cases of high-grade urothelial carcinoma (HGUC) and 26 cases of low-grade urothelial carcinoma (LGUC). All the patients took pelvic CT and enhanced scanning in the same CT scanner with same scanning parameters. Lesions on both plain and enhanced CT images were delineated on software by two radiologists to extract the corresponding volumes of interest (VOI) and then 92 parameters based on feature classes were generated. The average values of two radiologists were obtained. The difference parameters between HGUC group and LGUC group were screened by nonparametric test, and the receiver operating characteristic (ROC) was drawn. The corresponding optimal thresholds were determined and diagnostic effect was assessed. Results: Nine difference texture parameters between HGUC group and LGUC group were selected, including 5 parameters on unenhanced images, namely, skewness, root mean squared, cluster shade, zone percentage and large area high gray level emphasis. There were 4 parameters on enhanced images, namely, skewness, kurtosis, cluster shade and zone percentage. The largest area under curve of 0.840±0.058 (95% CI 0.726-0.955) was obtained from skewness generated by VOI of unenhanced images. The cut-off value of skewness was 0.186 5, which permitted the diagnosis of HGUC with sensitivity of 92.59%, specificity of 73.08%, positive predictive value of 78.13%, negative predictive value of 90.48% and accuracy of 83.02%. Conclusion CTTA can effectively distinguish between LGUC and HGUC. Skewness from unenhanced CT images had the optimal diagnostic performance.