Characteristics of vascular supply to uterine leiomyoma: an analysis of digital subtraction angiography imaging in 518 cases.

OBJECTIVES: To investigate the characteristics of the vascular supply to uterine leiomyomas based on digital subtraction angiography. METHODS: The feeding artery, vascularity of uterine leiomyoma and visualisation of the ovarian vessel network were studied in 518 patients undergoing uterine artery embolisation (UAE). Mean patient age was 38.97 ± 6.09 years (range, 22-54 years). The types of vascular supply were analysed by the vascular supply to the leimyoma and grades of vascularity by the degree of enhancement of the leimyoma compared with the myometrium. RESULTS: The blood supply of leiomyomas could not be classified in 3.28 % of patients. Blood was supplied solely by the uterine artery in 88.61 % of leiomyomas, 8.11 % of leiomyomas were partially fed by an ovarian artery, and 0.39 % by it exclusively. Leiomyoma blood supply was classified as unilateral predominant, bilateral balanced, single unilateral uterine artery and single ovarian artery in 36.48, 49.23, 10.62 and 0.39 % of cases respectively. Leiomyoma vascularity was classified as extremely hypervascular (8.69 %), hypervascular (46.14 %), isovascular (33.39 %) and hypovascular (11.78 %). CONCLUSIONS: Uterine leiomyomas supplied by both uterine arteries and with rich blood flow were seen in approximately 50 % of patients. However, close attention also should be given to the collateral circulation during UAE.

Using cross efficiency method integrating regret theory and WASPAS to evaluate road safety performance of Chinese provinces.

Currently, the road safety performance of a national- or province-level is absorbing much attention from practitioners and academics. A variety of models based on Data Envelopment Analysis (DEA) have been presented to appraise road safety performance in previous literature. However, the main weakness of these methods is that the decision-maker's psychological behavior is neglected. Besides, Cross Efficiency Method (CEM) adopts the weighted average to aggregate the cross efficiencies which may lead to information loss. To address these limitations, a hybrid road safety evaluation model was constructed by integrating CEM, regret theory, and Weighted Aggregated Sum Product Assessment (WASPAS) to appraise the road safety performance of Chinese provinces. In the presented model, regret theory is employed to depict the psychological behavior of the decision-maker. Then entropy weight method is utilized to calculate the weight of self-evaluation and peer-evaluation. To reduce information loss, WASPAS is adopted to fuse the cross efficiencies and derive the ranking of decision-making units. Finally, the presented model is employed to assess the road safety efficiency in the province of mainland China. The results show that the mean of road safety efficiency score for the eastern, central, and western areas is gradually decreasing. Furthermore, the outcomes of a comparative analysis represent that the results obtained by the proposed model outperform the CEM and DEA road safety model.