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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270834/
https://www.ncbi.nlm.nih.gov/pubmed/33492473
http://dx.doi.org/10.1007/s00330-020-07598-8

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