基于张量的群体值分解用于解释前列腺癌放疗后的直肠毒性。
A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapy.
作者信息
Ospina Juan David, Commandeur Frédéric, Ríos Richard, Dréan Gaël, Correa Juan Carlos, Simon Antoine, Haigron Pascal, de Crevoisier Renaud, Acosta Oscar
机构信息
INSERM, U 1099, Rennes, F-35000, France.
Universidad Nacional de Colombia, Campus Medellín, Colombia.
出版信息
Med Image Comput Comput Assist Interv. 2013;16(Pt 2):387-94. doi: 10.1007/978-3-642-40763-5_48.
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.
在前列腺癌放射治疗中，剂量分布与不良副作用发生之间的关联尚未明确。在这项工作中，我们提出了一种通过比较剂量分布来进行群体分析的方法。该方法是一种基于张量的方法，它推广了现有的二维图像方法，并能够突出显示与前列腺癌放射治疗后直肠出血相关的过度照射区域。因此，其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名患者的队列，能够构建出一种剂量模式，以表征前列腺癌放射治疗后出现直肠出血的患者与未出现直肠出血的患者之间的差异。
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