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dc.contributor.authorDonners, R
dc.contributor.authorCandito, A
dc.contributor.authorRata, M
dc.contributor.authorSharp, A
dc.contributor.authorMessiou, C
dc.contributor.authorKoh, D-M
dc.contributor.authorTunariu, N
dc.contributor.authorBlackledge, MD
dc.coverage.spatialSwitzerland
dc.date.accessioned2024-08-02T13:35:47Z
dc.date.available2024-08-02T13:35:47Z
dc.date.issued2024-04-25
dc.identifierARTN 1647
dc.identifiercancers16091647
dc.identifier.citationCancers, 2024, 16 (9), pp. 1647 -en_US
dc.identifier.issn2072-6694
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/6333
dc.identifier.eissn2072-6694
dc.identifier.eissn2072-6694
dc.identifier.doi10.3390/cancers16091647
dc.identifier.doi10.3390/cancers16091647
dc.description.abstract(1) Background: We assessed the test-re-test repeatability of radiomics in metastatic castration-resistant prostate cancer (mCPRC) bone disease on whole-body diffusion-weighted (DWI) and T1-weighted Dixon MRI. (2) Methods: In 10 mCRPC patients, 1.5 T MRI, including DWI and T1-weighted gradient-echo Dixon sequences, was performed twice on the same day. Apparent diffusion coefficient (ADC) and relative fat-fraction-percentage (rFF%) maps were calculated. Per study, up to 10 target bone metastases were manually delineated on DWI and Dixon images. All 106 radiomic features included in the Pyradiomics toolbox were derived for each target volume from the ADC and rFF% maps. To account for inter- and intra-patient measurement repeatability, the log-transformed individual target measurements were fitted to a hierarchical model, represented as a Bayesian network. Repeatability measurements, including the intraclass correlation coefficient (ICC), were derived. Feature ICCs were compared with mean ADC and rFF ICCs. (3) Results: A total of 65 DWI and 47 rFF% targets were analysed. There was no significant bias for any features. Pairwise correlation revealed fifteen ADC and fourteen rFF% feature sub-groups, without specific patterns between feature classes. The median intra-patient ICC was generally higher than the inter-patient ICC. Features that describe extremes in voxel values (minimum, maximum, range, skewness, and kurtosis) showed generally lower ICCs. Several mostly shape-based texture features were identified, which showed high inter- and intra-patient ICCs when compared with the mean ADC or mean rFF%, respectively. (4) Conclusions: Pyradiomics texture features of mCRPC bone metastases varied greatly in inter- and intra-patient repeatability. Several features demonstrated good repeatability, allowing for further exploration as diagnostic parameters in mCRPC bone disease.
dc.formatElectronic
dc.format.extent1647 -
dc.languageeng
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.ispartofCancers
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectdiffusion magnetic resonance imaging
dc.subjectneoplasm metastases
dc.subjectradiomics
dc.titleInter- and Intra-Patient Repeatability of Radiomic Features from Multiparametric Whole-Body MRI in Patients with Metastatic Prostate Cancer.en_US
dc.typeJournal Article
dcterms.dateAccepted2024-04-22
dc.date.updated2024-08-02T13:35:04Z
rioxxterms.versionVoRen_US
rioxxterms.versionofrecord10.3390/cancers16091647en_US
rioxxterms.licenseref.startdate2024-04-25
rioxxterms.typeJournal Article/Reviewen_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/38730599
pubs.issue9
pubs.organisational-groupICR
pubs.organisational-groupICR/Primary Group
pubs.organisational-groupICR/Primary Group/ICR Divisions
pubs.organisational-groupICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-groupICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-groupICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Computational Imaging
pubs.organisational-groupICR/Primary Group/ICR Divisions/Clinical Studies/Translational Therapeutics
pubs.publication-statusPublished online
pubs.publisher-urlhttp://dx.doi.org/10.3390/cancers16091647
pubs.volume16
icr.researchteamTranslational Therapeuticen_US
icr.researchteamComputational Imagingen_US
dc.contributor.icrauthorSharp, Adam
dc.contributor.icrauthorBlackledge, Matthew
icr.provenanceDeposited by Mr Arek Surman on 2024-08-02. Deposit type is initial. No. of files: 1. Files: Inter- and Intra-Patient Repeatability of Radiomic Features from Multiparametric Whole-Body MRI in Patients with Metastatic .pdf


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