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Evaluation of four tumour growth models to describe the natural history of meningiomas

hal.structure.identifierCHU de Bordeaux Pellegrin [Bordeaux]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorENGELHARDT, Julien
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorMONTALIBET, Virginie
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorSAUT, Olivier
hal.structure.identifierCHU de Bordeaux Pellegrin [Bordeaux]
dc.contributor.authorLOISEAU, Hugues
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCOLLIN, Annabelle
dc.date.accessioned2024-04-04T02:31:58Z
dc.date.available2024-04-04T02:31:58Z
dc.date.issued2023-07-04
dc.identifier.issn2352-3964
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190344
dc.description.abstractEnBackground: The incidence of newly diagnosed meningiomas, particularly those diagnosed incidentally, is continually increasing. The indication for treatment is empirical because, despite numerous studies, the natural history of these tumors remains difficult to describe and predict. Methods: This retrospective single-centre study included 294 consecutive patients with 333 meningiomas who underwent three or more brain imaging scans. Linear, exponential, power, and Gompertz models were constructed to derive volume-time curves, by using a mixed-effect approach. The most accurate model was used to analyse tumour growth and predictors of rapid growth. Interpretation: Meningiomas exhibit multiple growth phases, as described by the Gompertz model. The management of meningiomas should be discussed according to the growth phase, comorbidities, tumour location, size, and growth rate. Further research is needed to evaluate the associations between radiomics features and the growth phases of meningiomas.
dc.language.isoen
dc.publisherElsevier
dc.subject.enMeningioma
dc.subject.enGompertz model
dc.subject.enNatural history
dc.subject.enVolumetry
dc.title.enEvaluation of four tumour growth models to describe the natural history of meningiomas
dc.typeArticle de revue
dc.identifier.doi10.1016/j.ebiom.2023.104697
dc.subject.halMathématiques [math]
bordeaux.journalEBioMedicine
bordeaux.page104697
bordeaux.volume94
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-04346355
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04346355v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=EBioMedicine&rft.date=2023-07-04&rft.volume=94&rft.spage=104697&rft.epage=104697&rft.eissn=2352-3964&rft.issn=2352-3964&rft.au=ENGELHARDT,%20Julien&MONTALIBET,%20Virginie&SAUT,%20Olivier&LOISEAU,%20Hugues&COLLIN,%20Annabelle&rft.genre=article


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