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How to identify rectal sub-regions likely involved in rectal bleeding in prostate cancer radiotherapy?

机译:如何识别可能参与前列腺癌放射治疗直肠出血的直肠次区域?

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Nowadays, the definition of patient-specific constraints in prostate cancer radiotherapy planning are solely based on dose-volume histogram (DVH) parameters. Nevertheless those DVH models lack of spatial accuracy since they do not use the complete 3D information of the dose distribution. The goal of the study was to propose an automatic workflow to define patient-specific rectal sub-regions (RSR) involved in rectal bleeding (RB) in case of prostate cancer radiotherapy. A multi-atlas database spanning the large rectal shape variability was built from a population of 116 individuals. Non-rigid registration followed by voxel-wise statistical analysis on those templates allowed finding RSR likely correlated with RB (from a learning cohort of 63 patients). To define patient-specific RSR, weighted atlas-based segmentation with a vote was then applied to 30 test patients. Results show the potentiality of the method to be used for patient-specific planning of intensity modulated radiotherapy (IMRT).
机译:如今,前列腺癌放射治疗计划中患者特异性约束的定义仅基于剂量 - 体积直方图(DVH)参数。然而,那些DVH模型缺乏空间准确性,因为它们不使用剂量分布的完整3D信息。该研究的目标是提出自动工作流程,以定义前列腺癌放射治疗的直肠出血(RB)中涉及的患者特异性直肠子区(RSR)。跨越大直肠形状变异性的多拟标数据库是由116人的人口建造的。非刚性注册随后对那些模板进行体素 - 明智的统计分析,允许发现RSR可能与RB相关(来自63名患者的学习队列)。为了定义患者特异性RSR,然后将加权的基于地图集的基于地图集的分段应用于30个测试患者。结果表明该方法用于患者特异性调节放疗(IMRT)的患者特异性规划的潜力。

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