Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers

ABSTRACT: Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue characteristics and follow a well-understood path of technical, biological and clinical validation before incorporation into clinical trials. In radiomics, novel data-driven processes extract numero...

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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: Fournier, Laure, Costaridou, Lena, Bidaut, Luc, Michoux, Nicolas, Lecouvet, Frederic E., de Geus-Oei, Lioe-Fee, Boellaard, Ronald, Oprea-Lager, Daniela E., Obuchowski, Nancy A, Caroli, Anna, Kunz, Wolfgang G., Oei, Edwin H., O’Connor, James P. B., Mayerhoefer, Marius E., Franca, Manuela, Alberich-Bayarri, Angel, Deroose, Christophe M., Loewe, Christian, Manniesing, Rashindra, Caramella, Caroline, Lopci, Egesta, Lassau, Nathalie, Persson, Anders, Achten, Rik, Rosendahl, Karen, Clement, Olivier, Kotter, Elmar, Golay, Xavier, Smits, Marion, Dewey, Marc, Sullivan, Daniel C., van der Lugt, Aad, deSouza, Nandita M., European Society of Radiology
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2021
Assuntos:
Imaging Informatics and Artificial Intelligence
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8270834/
https://ncbi.nlm.nih.gov/pubmed/33492473
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07598-8
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