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Journal Articles Med Image Comput Comput Assist Interv Year : 2013

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

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Abstract

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.
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Dates and versions

inserm-00954534 , version 1 (03-03-2014)

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Juan David Ospina, Frédéric Commandeur, Richard Ríos, Gaël Dréan, Juan Carlos Correa, et al.. A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapy.. Med Image Comput Comput Assist Interv, 2013, 16 (Pt 2), pp.387-94. ⟨10.1007/978-3-642-40763-5_48⟩. ⟨inserm-00954534⟩
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