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A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapy

机译:基于张量种群值分解来解释前列腺癌放疗后直肠毒性

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摘要

In prostate cancer radiotherapy the association between the dose distribution and the occurrence of undesirable side-effects is yet to be revealed. In this work a method to perform population analysis by comparing the dose distributions is proposed. The method is a tensor-based approach that generalises an existing method for 2D images and allows for the highlighting of over irradiated zones correlated with rectal bleeding after prostate cancer radiotherapy. Thus, the aim is to contribute to the elucidation of the dose patterns correlated with rectal toxicity. The method was applied to a cohort of 63 patients and it was able to build up a dose pattern characterizing the difference between patients presenting rectal bleeding after prostate cancer radiotherapy and those who did not.
机译:在前列腺癌放射治疗中,剂量分布与不良副作用的发生之间的关联尚待揭示。在这项工作中,提出了一种通过比较剂量分布进行总体分析的方法。该方法是基于张量的方法,可以概括现有的2D图像方法,并可以突出显示与前列腺癌放疗后的直肠出血相关的过度照射区。因此,目的是有助于阐明与直肠毒性相关的剂量模式。该方法应用于63名患者,能够建立剂量模式,表征前列腺癌放疗后出现直肠出血的患者与未进行直肠出血的患者之间的差异。

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