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dc.contributor.authorThrussell, I
dc.contributor.authorWinfield, JM
dc.contributor.authorOrton, MR
dc.contributor.authorMiah, AB
dc.contributor.authorZaidi, SH
dc.contributor.authorArthur, A
dc.contributor.authorThway, K
dc.contributor.authorStrauss, DC
dc.contributor.authorCollins, DJ
dc.contributor.authorKoh, D-M
dc.contributor.authorOelfke, U
dc.contributor.authorHuang, PH
dc.contributor.authorO'Connor, JPB
dc.contributor.authorMessiou, C
dc.contributor.authorBlackledge, MD
dc.coverage.spatialSwitzerland
dc.date.accessioned2022-08-31T14:35:50Z
dc.date.available2022-08-31T14:35:50Z
dc.date.issued2022-07-18
dc.identifierARTN 899180
dc.identifier.citationFrontiers in Oncology, 2022, 12 pp. 899180 -
dc.identifier.issn2234-943X
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/5358
dc.identifier.eissn2234-943X
dc.identifier.eissn2234-943X
dc.identifier.doi10.3389/fonc.2022.899180
dc.description.abstractBACKGROUND: Size-based assessments are inaccurate indicators of tumor response in soft-tissue sarcoma (STS), motivating the requirement for new response imaging biomarkers for this rare and heterogeneous disease. In this study, we assess the test-retest repeatability of radiomic features from MR diffusion-weighted imaging (DWI) and derived maps of apparent diffusion coefficient (ADC) in retroperitoneal STS and compare baseline repeatability with changes in radiomic features following radiotherapy (RT). MATERIALS AND METHODS: Thirty patients with retroperitoneal STS received an MR examination prior to treatment, of whom 23/30 were investigated in our repeatability analysis having received repeat baseline examinations and 14/30 patients were investigated in our post-treatment analysis having received an MR examination after completing pre-operative RT. One hundred and seven radiomic features were extracted from the full manually delineated tumor region using PyRadiomics. Test-retest repeatability was assessed using an intraclass correlation coefficient (baseline ICC), and post-radiotherapy variance analysis (post-RT-IMS) was used to compare the change in radiomic feature value to baseline repeatability. RESULTS: For the ADC maps and DWI images, 101 and 102 features demonstrated good baseline repeatability (baseline ICC > 0.85), respectively. Forty-three and 2 features demonstrated both good baseline repeatability and a high post-RT-IMS (>0.85), respectively. Pearson correlation between the baseline ICC and post-RT-IMS was weak (0.432 and 0.133, respectively). CONCLUSIONS: The ADC-based radiomic analysis shows better test-retest repeatability compared with features derived from DWI images in STS, and some of these features are sensitive to post-treatment change. However, good repeatability at baseline does not imply sensitivity to post-treatment change.
dc.formatElectronic-eCollection
dc.format.extent899180 -
dc.languageeng
dc.language.isoeng
dc.publisherFRONTIERS MEDIA SA
dc.relation.ispartofFrontiers in Oncology
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDWI (diffusion weighted imaging)
dc.subjectIntraclass correlation coefficient (ICC)
dc.subjectapparent diffusion coefficient (ADC)
dc.subjectradiomics
dc.subjectradiotherapy
dc.subjectrepeatability
dc.subjectsoft-tissue sarcoma
dc.titleRadiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy.
dc.typeJournal Article
dcterms.dateAccepted2022-06-17
dc.date.updated2022-08-31T14:33:54Z
rioxxterms.versionVoR
rioxxterms.versionofrecord10.3389/fonc.2022.899180
rioxxterms.licenseref.startdate2022-07-18
rioxxterms.typeJournal Article/Review
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/35924167
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/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Computational Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Molecular and Systems Oncology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Quantitative Biomedical Imaging
pubs.publication-statusPublished online
pubs.volume12
icr.researchteamRadiother Phys Modelling
icr.researchteamMol and Systems Oncology
icr.researchteamQuant Biomed Imaging
icr.researchteamComputational Imaging
dc.contributor.icrauthorArthur, Amani
dc.contributor.icrauthorCollins, David
dc.contributor.icrauthorHuang, Paul
dc.contributor.icrauthorO'Connor, James Patrick
dc.contributor.icrauthorBlackledge, Matthew
icr.provenanceDeposited by Mr Arek Surman on 2022-08-31. Deposit type is initial. No. of files: 1. Files: fonc-12-899180.pdf


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