首页膀胱肿瘤病因/危险因素证据详情

GSTM1 and GSTT1 polymorphisms are associated with increased bladder cancer risk: Evidence from updated meta-analysis

原文: 2017 年 发布于 Clin Invest Med 浏览量:685次

作者: Yu C. Hequn C. Longfei L. Long W. Zhi C. Feng Z. Jinbo C. Chao L. Xiongbing Z.

作者单位: Department of Urology, Medical University of Vienna, Vienna, Austria. Division of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman, Jordan. Department of Urology, Weill Cornell Medical College, New York-Presbyterian Hospital, New York, NY, USA. Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria. Channing Division of Network Medicine, Harvard Medical School, Boston, MA, USA. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

归属分类: 膀胱肿瘤病因/危险因素证据

DOI: 10.1097/ju.0000000000001513

文献简介

INTRODUCTION: Radiotherapy has been offered as a multimodality treatment for bladder cancer patients. Due to the significant variation of bladder volume observed throughout the course of treatment, large margins in the range of 20-30 mm have been used, unnecessarily irradiating a large volume of normal tissue. With the capability of visualizing soft tissue in cone beam computed tomography, there is opportunity to modify or to adapt the plan based on the variation observed during the course of treatment for quality improvement. METHODS: A literature search was conducted in May 2016, with the aim of examining the adaptive strategies that have been developed for bladder cancer and assessing the efficacy in improving treatment quality. Among the 18 identified publications, three adaptive strategies were reported: plan of the day, patient-specific planning target volume, and daily reoptimisation. RESULTS: Overall, any of the adaptive strategies achieved a significant improvement in reducing the irradiated volume compared with the nonadaptive approach, outweighing the additional resource required for its execution. CONCLUSION: The amount and the type of resource required vary from strategy to strategy, suggesting the need for the individual institution to assess feasibility based on the existing infrastructure to identify the most appropriate strategy for implementation.

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