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dc.contributor.authorPeerlings, J
dc.contributor.authorWoodruff, H
dc.contributor.authorWinfield, J
dc.contributor.authorIbrahim, A
dc.contributor.authorVan Beers, B
dc.contributor.authorHeerschap, A
dc.contributor.authorJackson, Andrew
dc.contributor.authorWildberger, J
dc.contributor.authorMottaghy, F
dc.contributor.authorDeSouza, N
dc.contributor.authorLambin, P
dc.date.accessioned2019-04-29T09:48:58Z
dc.date.available2019-04-29T09:48:58Z
dc.date.issued2019en
dc.identifier.citationPeerlings J, Woodruff HC, Winfield JM, Ibrahim A, Van Beers BE, Heerschap A, et al. Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial. Sci Rep. 2019 Mar 18;9(1):4800.en
dc.identifier.pmid30886309en
dc.identifier.doi10.1038/s41598-019-41344-5en
dc.identifier.urihttp://hdl.handle.net/10541/621774
dc.description.abstractQuantitative radiomics features, extracted from medical images, characterize tumour-phenotypes and have been shown to provide prognostic value in predicting clinical outcomes. Stability of radiomics features extracted from apparent diffusion coefficient (ADC)-maps is essential for reliable correlation with the underlying pathology and its clinical applications. Within a multicentre, multi-vendor trial we established a method to analyse radiomics features from ADC-maps of ovarian (n?=?12), lung (n?=?19), and colorectal liver metastasis (n?=?30) cancer patients who underwent repeated (<7 days) diffusion-weighted imaging at 1.5?T and 3?T. From these ADC-maps, 1322 features describing tumour shape, texture and intensity were retrospectively extracted and stable features were selected using the concordance correlation coefficient (CCC?>?0.85). Although some features were tissue- and/or respiratory motion-specific, 122 features were stable for all tumour-entities. A large proportion of features were stable across different vendors and field strengths. By extracting stable phenotypic features, fitting-dimensionality is reduced and reliable prognostic models can be created, paving the way for clinical implementation of ADC-based radiomics.en
dc.language.isoenen
dc.relation.urlhttps://dx.doi.org/10.1038/s41598-019-41344-5en
dc.titleStability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trialen
dc.typeArticleen
dc.contributor.departmentThe D-Lab, Department of Precision Medicine, Royal Marsden Hospital, Sutton, UKen
dc.identifier.journalScientific Reportsen
dc.description.noteen]
refterms.dateFOA2019-04-29T17:21:12Z


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