F
Flavie Bratan
Researcher at University of Lyon
Publications - 27
Citations - 1767
Flavie Bratan is an academic researcher from University of Lyon. The author has contributed to research in topics: Prostate cancer & Biopsy. The author has an hindex of 16, co-authored 24 publications receiving 1355 citations. Previous affiliations of Flavie Bratan include French Institute of Health and Medical Research.
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Journal ArticleDOI
Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study.
Olivier Rouvière,Philippe Puech,Raphaële Renard-Penna,Michel Claudon,Catherine Roy,Florence Mège-Lechevallier,Myriam Decaussin-Petrucci,Marine Dubreuil-Chambardel,Laurent Magaud,Laurent Remontet,Laurent Remontet,Alain Ruffion,Marc Colombel,Sebastien Crouzet,Anne-Marie Schott,Laurent Lemaitre,Muriel Rabilloud,Muriel Rabilloud,Nicolas Grenier,Nicolas Barry Delongchamps,Romain Boutier,Flavie Bratan,S. Brunelle,Philippe Camparo,Pierre Colin,Jean-Michel Correas,François Cornelis,François Cornud,Fanny Cros,Jean-Luc Descotes,Pascal Eschwege,Gaelle Fiard,Jean-Philippe Fendler,Hocine Habchi,Philippe Hallouin,Ahmed Khairoune,Hervé Lang,Y. Lebras,F Lefèvre,Bernard Malavaud,Paul C. Moldovan,Nicolas Mottet,Pierre Mozer,Pierre Nevoux,G. Pagnoux,Gilles Pasticier,Daniel Portalez,E. Potiron,Athivada Soto Thammavong,Marc-Olivier Timsit,Arnault Viller,Jochen Walz +51 more
TL;DR: Obtaining a multiparametric MRI before biopsy in biopsy-naive patients can improve the detection of clinically significant prostate cancer but does not seem to avoid the need for systematic biopsy.
Journal ArticleDOI
Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study
Flavie Bratan,Emilie Niaf,Emilie Niaf,Christelle Melodelima,Anne Laure Chesnais,Rémi Souchon,Florence Mège-Lechevallier,Marc Colombel,Olivier Rouvière +8 more
TL;DR: Prostate cancer volume, Gleason score, architecture and location are MRI predictors of detection and a subjective suspicion score can stratify the risk of malignancy and tumour aggressiveness.
Journal ArticleDOI
Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI.
TL;DR: A preliminary comparison showed that the optimal CADx scheme mimicked, in terms of AUC, the human experts in differentiating malignant from suspicious tissues, thus demonstrating its potential for assisting cancer identification in the PZ.
Journal ArticleDOI
Characterization of Prostate Lesions as Benign or Malignant at Multiparametric MR Imaging: Comparison of Three Scoring Systems in Patients Treated with Radical Prostatectomy
Tiphaine Vaché,Flavie Bratan,Florence Mège-Lechevallier,Sylvain Roche,Muriel Rabilloud,Olivier Rouvière +5 more
TL;DR: The Likert score allowed significantly more accurate categorization of prostate lesions on MR images than did the MLS and PIRADS scores.
Journal ArticleDOI
How Accurate Is Multiparametric MR Imaging in Evaluation of Prostate Cancer Volume
Flavie Bratan,C. Melodelima,Rémi Souchon,Hoang Dinh A,F. Mège-Lechevallier,Crouzet S,Marc Colombel,Albert Gelet,Olivier Rouvière +8 more
TL;DR: Vh can be estimated by using Vmax in aggressive tumors or in tumors with high Likert scores, with a tendency toward overestimation of Vh.