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hal.structure.identifierCHU Bordeaux
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierBiothérapies des maladies génétiques et cancers
hal.structure.identifierÉquipe Calcul scientifique et Modélisation
dc.contributor.authorMESGUICH, Charles
hal.structure.identifierCHU Bordeaux
dc.contributor.authorHINDIE, Elif
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
hal.structure.identifierCHU Bordeaux
dc.contributor.authorTLILI, Ghoufrane
hal.structure.identifierCHU Bordeaux
dc.contributor.authorPINAQUY, Jean-Baptiste
hal.structure.identifierBiothérapies des maladies génétiques et cancers
dc.contributor.authorMARIT, Gerald
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierÉquipe Calcul scientifique et Modélisation
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
dc.contributor.authorSAUT, Olivier
dc.date.issued2021-10
dc.identifier.issn0143-3636
dc.description.abstractEnIn Multiple Myeloma (MM) patients, diffuse infiltration of bone marrow can be diagnosed on MRI and is associated with poorer prognosis. On 18-FDG PET/CT, the other important imaging modality in MM, the diagnosis of diffuse disease by visual analysis can be challenging. Radiomics allows the extraction of large amount of data from images to individualize disease specific diagnostic or prognostic patterns. We aimed todevelop a radiomics-based model derived from PET and CT images, that could improve the diagnosis of multiple myeloma diffuse disease on 18-FDG PET/CT.
dc.language.isoen
dc.publisherLippincott, Williams & Wilkins
dc.title.enImproved 18-FDG PET/CT diagnosis of multiple myeloma diffuse disease by radiomics analysis
dc.typeArticle de revue
dc.identifier.doi10.1097/MNM.0000000000001437
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
dc.subject.halSciences du Vivant [q-bio]/Cancer
dc.subject.halInformatique [cs]/Modélisation et simulation
bordeaux.journalNuclear Medicine Communications
bordeaux.page1135-1143
bordeaux.volume42
bordeaux.issue10
bordeaux.peerReviewedoui
hal.identifierhal-03428536
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03428536v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Nuclear%20Medicine%20Communications&rft.date=2021-10&rft.volume=42&rft.issue=10&rft.spage=1135-1143&rft.epage=1135-1143&rft.eissn=0143-3636&rft.issn=0143-3636&rft.au=MESGUICH,%20Charles&HINDIE,%20Elif&DENIS%20DE%20SENNEVILLE,%20Baudouin&TLILI,%20Ghoufrane&PINAQUY,%20Jean-Baptiste&rft.genre=article


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