title: A Novel Classification Method for Prediction of Rectal Bleeding in Prostate Cancer Radiotherapy Based on a Semi-Nonnegative ICA of 3D Planned Dose Distributions.
abstract: The understanding of dose/side-effects relationships in prostate cancer radiotherapy is crucial to define appropriate individual's constraints for the therapy planning. Most of the existing methods to predict side-effects do not fully exploit the rich spatial information conveyed by the three-dimensional planned dose distributions. We propose a new classification method for three-dimensional individuals' doses, based on a new semi-nonnegative ICA algorithm to identify patients at risk of presenting rectal bleeding from a population treated for prostate cancer. The method first determines two bases of vectors from the population data: the two bases span vector subspaces, which characterize patients with and without rectal bleeding, respectively. The classification is then achieved by calculating the distance of a given patient to the two subspaces. The results, obtained on a cohort of 87 patients (at two year follow-up) treated with radiotherapy, showed high performance in terms of sensitivity and specificity.
authors.forename: Julie
authors.initials: J
authors.lastname: Coloigner
authors.forename: Auréline
authors.initials: A
authors.lastname: Fargeas
authors.forename: Amar
authors.initials: A
authors.lastname: Kachenoura
authors.forename: Lu
authors.initials: L
authors.lastname: Wang
authors.forename: Gaël
authors.initials: G
authors.lastname: Dréan
authors.forename: Caroline
authors.initials: C
authors.lastname: Lafond
authors.forename: Lotfi
authors.initials: L
authors.lastname: Senhadji
authors.forename: Renaud
authors.initials: R
authors.lastname: de Crevoisier
authors.forename: Oscar
authors.initials: O
authors.lastname: Acosta
authors.forename: Laurent
authors.initials: L
authors.lastname: Albera
mesh_terms: D000465:Algorithms; D006471:Gastrointestinal Hemorrhage / Q000175:diagnosis / Q000209:etiology / Q000517:prevention & control; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008297:Male; D011471:Prostatic Neoplasms / Q000532:radiotherapy*; D011878:Radiotherapy / Q000009:adverse effects*; D012002:Rectal Diseases / Q000175:diagnosis / Q000209:etiology / Q000517:prevention & control; D012007:Rectum / Q000503:physiopathology; D012680:Sensitivity and Specificity