dc.contributor.author | Peerlings, J | |
dc.contributor.author | Woodruff, HC | |
dc.contributor.author | Winfield, JM | |
dc.contributor.author | Ibrahim, A | |
dc.contributor.author | Van Beers, BE | |
dc.contributor.author | Heerschap, A | |
dc.contributor.author | Jackson, A | |
dc.contributor.author | Wildberger, JE | |
dc.contributor.author | Mottaghy, FM | |
dc.contributor.author | DeSouza, NM | |
dc.contributor.author | Lambin, P | |
dc.date.accessioned | 2019-04-08T14:21:12Z | |
dc.date.issued | 2019-03-18 | |
dc.identifier.citation | Scientific reports, 2019, 9 (1), pp. 4800 - ? | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/3169 | |
dc.identifier.eissn | 2045-2322 | |
dc.identifier.doi | 10.1038/s41598-019-41344-5 | |
dc.description.abstract | Quantitative 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. | |
dc.format | Electronic | |
dc.format.extent | 4800 - ? | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | NATURE PORTFOLIO | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Liver | |
dc.subject | Lung | |
dc.subject | Ovary | |
dc.subject | Humans | |
dc.subject | Colorectal Neoplasms | |
dc.subject | Liver Neoplasms | |
dc.subject | Ovarian Neoplasms | |
dc.subject | Lung Neoplasms | |
dc.subject | Image Interpretation, Computer-Assisted | |
dc.subject | Diffusion Magnetic Resonance Imaging | |
dc.subject | Tumor Burden | |
dc.subject | Prospective Studies | |
dc.subject | Reproducibility of Results | |
dc.subject | Adult | |
dc.subject | Aged | |
dc.subject | Aged, 80 and over | |
dc.subject | Middle Aged | |
dc.subject | Female | |
dc.subject | Male | |
dc.title | Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2019-03-05 | |
rioxxterms.versionofrecord | 10.1038/s41598-019-41344-5 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2019-03-18 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Scientific reports | |
pubs.issue | 1 | |
pubs.notes | Not known | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance | |
pubs.publication-status | Published | |
pubs.volume | 9 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Magnetic Resonance | |
dc.contributor.icrauthor | deSouza, Nandita | |