Gaël Dréan1, Oscar Acosta1, Juan D Ospina1, Auréline Fargeas1, Caroline Lafond2, Gwenaelle Corrégé3, Jean-L Lagrange4, Gilles Créhange5, Antoine Simon1, Pascal Haigron1, Renaud de Crevoisier6. 1. INSERM 1099, Rennes, France; LTSI, Université de Rennes 1, Rennes, France. 2. INSERM 1099, Rennes, France; LTSI, Université de Rennes 1, Rennes, France; Département de radiothérapie, Centre Eugène Marquis, Rennes, France. 3. Département de radiothérapie, Centre Eugène Marquis, Rennes, France. 4. Hôpital Henri Mondor, France; UPEC, Université Paris Est Créteil, France. 5. Centre Georges François Leclerc, Dijon, France. 6. INSERM 1099, Rennes, France; LTSI, Université de Rennes 1, Rennes, France; Département de radiothérapie, Centre Eugène Marquis, Rennes, France. Electronic address: r.de-crevoisier@rennes.unicancer.fr.
Abstract
BACKGROUND AND PURPOSE: To identify rectal subregions at risks (SRR) highly predictive of 3-year rectal bleeding (RB) in prostate cancer IMRT. MATERIALS AND METHODS: Overall, 173 prostate cancer patients treated with IMRT/IGRT were prospectively analyzed, divided into "training" (n=118) and "validation" cohorts (n=53). Dose-volume histograms (DVHs) were calculated in three types of rectal subregions: "geometric", intuitively defined (hemi-rectum,…); "personalized", obtained by non-rigid registration followed by voxel-wise statistical analysis (SRRp); "generic", mapped from SRRps, located within 8×8 rectal subsections (SRRg). DVHs from patients with and without RB were compared and used for toxicity prediction. RESULTS: Training cohort SRRps were primarily within the inferior anterior hemi-rectum and upper anal canal, with 3.8Gy mean dose increase for Grade⩾1 RB patients. The SRRg, representing 15% of the absolute rectal volume, was located in 10 inferior-anterior rectal subsections. V18-V70 for SRRps and V58-V65 for SRRg were significantly higher for RB patients than non-RB. Maximum areas under the curve (AUCs) for SRRp and SRRg RB prediction were 71% and 64%, respectively. The validation cohort confirmed the predictive value of SRRg for Grade⩾1 RB. The total cohort confirmed the predictive value of SRRg for Grade⩾2 RB. Geometrical subregions were not RB predictors. CONCLUSION: The inferior-anterior hemi anorectum was highly predictive of RB.
BACKGROUND AND PURPOSE: To identify rectal subregions at risks (SRR) highly predictive of 3-year rectal bleeding (RB) in prostate cancer IMRT. MATERIALS AND METHODS: Overall, 173 prostate cancerpatients treated with IMRT/IGRT were prospectively analyzed, divided into "training" (n=118) and "validation" cohorts (n=53). Dose-volume histograms (DVHs) were calculated in three types of rectal subregions: "geometric", intuitively defined (hemi-rectum,…); "personalized", obtained by non-rigid registration followed by voxel-wise statistical analysis (SRRp); "generic", mapped from SRRps, located within 8×8 rectal subsections (SRRg). DVHs from patients with and without RB were compared and used for toxicity prediction. RESULTS: Training cohort SRRps were primarily within the inferior anterior hemi-rectum and upper anal canal, with 3.8Gy mean dose increase for Grade⩾1 RB patients. The SRRg, representing 15% of the absolute rectal volume, was located in 10 inferior-anterior rectal subsections. V18-V70 for SRRps and V58-V65 for SRRg were significantly higher for RB patients than non-RB. Maximum areas under the curve (AUCs) for SRRp and SRRg RB prediction were 71% and 64%, respectively. The validation cohort confirmed the predictive value of SRRg for Grade⩾1 RB. The total cohort confirmed the predictive value of SRRg for Grade⩾2 RB. Geometrical subregions were not RB predictors. CONCLUSION: The inferior-anterior hemi anorectum was highly predictive of RB.
Authors: L E A Shelley; J E Scaife; M Romanchikova; K Harrison; J R Forman; A M Bates; D J Noble; R Jena; M A Parker; M P F Sutcliffe; S J Thomas; N G Burnet Journal: Radiother Oncol Date: 2017-04-28 Impact factor: 6.280
Authors: Jean-Bernard Delobel; Khemara Gnep; Juan David Ospina; Véronique Beckendorf; Ciprian Chira; Jian Zhu; Alberto Bossi; Taha Messai; Oscar Acosta; Joël Castelli; Renaud de Crevoisier Journal: PLoS One Date: 2017-06-22 Impact factor: 3.240
Authors: Leila E A Shelley; Michael P F Sutcliffe; Simon J Thomas; David J Noble; Marina Romanchikova; Karl Harrison; Amy M Bates; Neil G Burnet; Raj Jena Journal: Phys Imaging Radiat Oncol Date: 2020-04
Authors: Paul Sargos; Mame Daro Faye; Manon Bacci; Stéphane Supiot; Igor Latorzeff; David Azria; Tamim M Niazi; Te Vuong; Véronique Vendrely; Renaud de Crevoisier Journal: Front Oncol Date: 2021-06-16 Impact factor: 6.244