Renaud de Crevoisier
University of Rennes
CancerInternal medicineRadiologyUrologySurgeryMagnetic resonance imagingOncologyArtificial intelligenceImage registrationPattern recognitionProstateProstate cancerRectumPopulationNuclear medicineComputer visionComputer scienceRadiation therapyMedicineImage-guided radiation therapy
138Publications
28H-index
2,670Citations
Publications 137
Newest
#1Gwenaelle CreffH-Index: 1
#2Franck JegouxH-Index: 16
Last. Renaud de CrevoisierH-Index: 28
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#1Martin A. Ebert (SCGH: Sir Charles Gairdner Hospital)H-Index: 26
#2Sarah L. Gulliford (UCLH: University College London Hospitals NHS Foundation Trust)H-Index: 23
Last. Claudio Fiorino (UniSR: Vita-Salute San Raffaele University)H-Index: 54
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For decades, dose-volume information for segmented anatomy has provided the essential data for correlating radiotherapy dosimetry with treatment-induced complications. Dose-volume information has formed the basis for modelling those associations via normal tissue complication (NTCP) models and for driving treatment planning. Limitations to this approach have been identified. Many studies have emerged demonstrating that the incorporation of information describing the spatial nature of the dose di...
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#1Jonathan KhalifaH-Index: 11
#2Stéphane SupiotH-Index: 29
Last. Olivier RiouH-Index: 7
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Abstract null null Purpose null Curative radio-chemotherapy is recognized as a standard treatment option for muscle-invasive bladder cancer (MIBC). Nevertheless, the technical aspects for MIBC radiotherapy are heterogeneous with a lack of practical recommendations. null null null Methods and Materials null In 2018, a workshop identified the need for two cooperative groups to develop consistent, evidence-based guidelines for irradiation technique in the delivery of curative radiotherapy. Two radi...
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#2Pierre FontaineH-Index: 3
Last. Oscar AcostaH-Index: 21
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In prostate cancer radiotherapy, biochemical recurrence has been traditionally predicted using radiomics approaches with however limited performance. The purpose of this work was to use a mechanistic in silico model of tumor growth and response to irradiation to obtain better predictions. A cohort of 76 patients with localized prostate adenocarcinoma having undergone external beam radiotherapy was used. Analogous digital tissues were built from pre-treatment MRI. The prescribed irradiation proto...
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#2A. BarateauH-Index: 5
Last. Oscar AcostaH-Index: 21
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Several approaches have been proposed to generate pseudo computed tomography (pCT) from MR images for radiotherapy dose calculation. Quantification of errors in pCT has been reported using global scores disregarding spatial heterogeneity. The aim of this work was to propose a population voxel-based workflow allowing the local assessment of errors in the generation of pCTs from MRI. For the voxel-wise analysis to be anatomically meaningful, a robust customized inter-patient non-rigid registration...
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OBJECTIVE Purposes of this work were i) to develop an in silico model of tumor response to radiotherapy, ii) to perform an exhaustive sensitivity analysis in order to iii) propose a simplified version and iv) to predict biochemical recurrence with both the comprehensive and the reduced model. METHODS A multiscale computational model of tumor response to radiotherapy was developed. It integrated the following radiobiological mechanisms: oxygenation, including hypoxic death; division of tumor cell...
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#1Eugenia Mylona (French Institute of Health and Medical Research)H-Index: 4
#2Martin A. Ebert (UWA: University of Western Australia)H-Index: 26
Last. Renaud de Crevoisier (French Institute of Health and Medical Research)H-Index: 28
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Abstract Purpose /Objectives: Recent voxel-based studies have shown that the dose to specific rectal and urethro-vesical subregions is predictive of toxicities, following prostate cancer IMRT. The objective of this study was to validate the discriminatory power of these subregions with respect to the whole organs, in a large independent population. Material/Methods The validation cohort consisted of 450 patients, from the XXX(BLIND) trial, treated with 3D-CRT at 66-74 Gy. Previous voxel-based an...
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#1Pierre FontaineH-Index: 3
#2Oscar Acosta (French Institute of Health and Medical Research)H-Index: 21
Last. Adrien Depeursinge (University of Applied Sciences Western Switzerland)H-Index: 26
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In standard radiomics studies the features extracted from clinical images are mostly quantified with simple statistics such as the average or variance per Region of Interest (ROI). Such approaches may smooth out any intra-region heterogeneity and thus hide some tumor aggressiveness that may hamper predictions. In this paper we study the importance of feature aggregation within the standard radiomics workflow, which allows to take into account intra-region variations. Feature aggregation methods ...
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#1Filippos Filias (University of Patras)
#2Eugenia Mylona (University of Rennes)H-Index: 4
Last. Oscar Acosta (University of Rennes)H-Index: 21
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Prediction of urinary toxicity after prostate cancer radiotherapy (RT) is remarkably challenging. Not only it is a multifaceted phenomenon, encompassing different symptoms (retention, dysuria, haematuria, etc.), but also a multifactorial problem, as it depends on both patient-specific clinical factors, individual biological parameters, and dosimetric patterns. Thus, there are a plethora of potential predictors compared to the paucity of available symptom-specific toxicity data. On top of that, i...
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