Eugenia Mylona
University of Rennes
Machine learningInternal medicineRadiologyUrologyMagnetic resonance imagingOncologyArtificial intelligenceHounsfield scaleOversamplingProstateDysuriaUrethraProstate cancerRectumPopulationToxicityNuclear medicinePlanning target volumeComputer scienceRadiation therapyMedicineUrinary system
22Publications
4H-index
69Citations
Publications 19
Newest
#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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#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...
1 CitationsSource
#2Eugenia MylonaH-Index: 4
Last. Mathieu HattH-Index: 39
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#1Eugenia MylonaH-Index: 4
#2Martin A. EbertH-Index: 26
Last. R. de CrevoisierH-Index: 20
view all 8 authors...
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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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#1A. Barateau (French Institute of Health and Medical Research)H-Index: 5
#2Renaud de Crevoisier (French Institute of Health and Medical Research)H-Index: 28
Last. Caroline LafondH-Index: 15
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PURPOSE Anatomical variations occur during head and neck (H&N) radiotherapy treatment. kV cone-beam computed tomography (CBCT) images can be used for daily dose monitoring to assess dose variations owing to anatomic changes. Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) from CBCT to perform dose calculation. This study aims to evaluate the accuracy of a DLM and to compare this method with three existing methods of dose calculation from CBCT in H&N cancer ra...
2 CitationsSource
#1Caroline Lafond (French Institute of Health and Medical Research)H-Index: 15
#2A. Barateau (French Institute of Health and Medical Research)H-Index: 5
Last. Renaud de Crevoisier (French Institute of Health and Medical Research)H-Index: 28
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Background: A rectal sub-region (SRR) has been previously identified by voxel-wise analysis in the inferior-anterior part of the rectum as highly predictive of rectal bleeding (RB) in prostate cancer radiotherapy. Translating the SRR to patient-specific radiotherapy planning is challenging as new constraints have to be defined. A recent geometry-based model proposed to optimize the planning by determining the achievable mean doses (AMDs) to the organs at risk (OARs), taking into account the over...
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#1Eugenia Mylona (French Institute of Health and Medical Research)H-Index: 4
#2Alessandro Cicchetti (UNIPV: University of Pavia)H-Index: 7
Last. Renaud de Crevoisier (French Institute of Health and Medical Research)H-Index: 28
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Abstract Purpose To perform bladder dose-surface map (DSM) analysis for (1) identifying symptom-related sub-surfaces (Ssurf) and evaluating their prediction capability of urinary toxicity, (2) comparing DSM with dose-volume map (DVM) (method effect), and (3) assessing the reproducibility of DSM (cohort effect). Methods and materials Urinary toxicities were prospectively analyzed for 254 prostate cancer patients treated with IMRT/IGRT at 78/80 Gy. DSMs were generated by unfolding bladder surfaces...
5 CitationsSource