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

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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Med Image Comput Comput Assist Interv, Springer, 2013, 16 (Pt 2), pp.387-94. 〈10.1007/978-3-642-40763-5_48〉
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http://www.hal.inserm.fr/inserm-00954534
Contributeur : Juan David Ospina <>
Soumis le : lundi 3 mars 2014 - 16:26:12
Dernière modification le : mercredi 16 mai 2018 - 11:23:41
Document(s) archivé(s) le : samedi 31 mai 2014 - 11:20:50

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

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