Yixin Tang1,2, Chunlin Chen2, Hui Duan2, Ben Ma3, Ping Liu4. 1. Department of Gynecology, The Second Affiliated Hospital, Zhejiang University, Hangzhou, 310009, People's Republic of China. 2. Department of Obstetrics and Gynecology, Nan fang Hospital of the Southern Medical University, Guangzhou, 510515, People's Republic of China. 3. Department of Obstetrics and Gynecology, Guangzhou First Municipal People's Hospital, No. 1, Pan Fu Road, Guangzhou, 510180, People's Republic of China. 4. Department of Obstetrics and Gynecology, Nan fang Hospital of the Southern Medical University, Guangzhou, 510515, People's Republic of China. lpivy1@126.com.
Abstract
OBJECTIVES: To investigate the clinical factors predicting outcomes of leiomyoma treated with uterine artery embolization (UAE). METHODS: A total of 183 uterine leiomyoma patients undergoing UAE were retrospectively analyzed. Patient age, characteristics of vascular supply in magnetic resonance imaging (MRI)/digital subtraction angiography (DSA), number, size and location of leiomyoma were recorded. Leiomyoma regrowth, new leiomyoma appearance and recurrence of any previously reported symptoms were carefully monitored over a mean follow-up of 30 months (median 32 months, range 12-80). Potential recurrence risk factors were analyzed by univariate and multivariate cox regression analysis. RESULTS: Twenty-three recurrences were recorded. The difference in the vascularity classification systems between MRI and DSA was not statistically significant (P = 0.059). High vascularity in MRI, high vascularity in DSA and multiple leiomyoma showed a significant risk of recurrence using univariate and multivariate analysis (P = 0.004, P < 0.001 and P = 0.023, respectively). The other factors were not significantly associated with leiomyoma recurrence (P > 0.05). CONCLUSION: Low vascularity and solitary leiomyoma indicated favourable outcomes in patients treated with UAE. KEY POINTS: • Low vascularity and solitary mass predicted favourable outcomes in UAE-treated patients. • MRI might provide information on vascularity in leiomyoma before UAE. • Variations in vascular supply, age, size, location were not associated with recurrence.
OBJECTIVES: To investigate the clinical factors predicting outcomes of leiomyoma treated with uterine artery embolization (UAE). METHODS: A total of 183 uterine leiomyomapatients undergoing UAE were retrospectively analyzed. Patient age, characteristics of vascular supply in magnetic resonance imaging (MRI)/digital subtraction angiography (DSA), number, size and location of leiomyoma were recorded. Leiomyoma regrowth, new leiomyoma appearance and recurrence of any previously reported symptoms were carefully monitored over a mean follow-up of 30 months (median 32 months, range 12-80). Potential recurrence risk factors were analyzed by univariate and multivariate cox regression analysis. RESULTS: Twenty-three recurrences were recorded. The difference in the vascularity classification systems between MRI and DSA was not statistically significant (P = 0.059). High vascularity in MRI, high vascularity in DSA and multiple leiomyoma showed a significant risk of recurrence using univariate and multivariate analysis (P = 0.004, P < 0.001 and P = 0.023, respectively). The other factors were not significantly associated with leiomyoma recurrence (P > 0.05). CONCLUSION: Low vascularity and solitary leiomyoma indicated favourable outcomes in patients treated with UAE. KEY POINTS: • Low vascularity and solitary mass predicted favourable outcomes in UAE-treated patients. • MRI might provide information on vascularity in leiomyoma before UAE. • Variations in vascular supply, age, size, location were not associated with recurrence.
Authors: Cheng-Chia Lee; Michael A Reardon; Benjamin Z Ball; Ching-Jen Chen; Chun-Po Yen; Zhiyuan Xu; Max Wintermark; Jason Sheehan Journal: J Neurosurg Date: 2015-04-03 Impact factor: 5.115
Authors: Man Deuk Kim; Myungsu Lee; Dae Chul Jung; Sung Il Park; Mu Sook Lee; Jong Yun Won; Do Yun Lee; Kwang Hun Lee Journal: J Vasc Interv Radiol Date: 2011-12-15 Impact factor: 3.464