dc.contributor.author | Thrussell, I | |
dc.contributor.author | Winfield, JM | |
dc.contributor.author | Orton, MR | |
dc.contributor.author | Miah, AB | |
dc.contributor.author | Zaidi, SH | |
dc.contributor.author | Arthur, A | |
dc.contributor.author | Thway, K | |
dc.contributor.author | Strauss, DC | |
dc.contributor.author | Collins, DJ | |
dc.contributor.author | Koh, D-M | |
dc.contributor.author | Oelfke, U | |
dc.contributor.author | Huang, PH | |
dc.contributor.author | O'Connor, JPB | |
dc.contributor.author | Messiou, C | |
dc.contributor.author | Blackledge, MD | |
dc.coverage.spatial | Switzerland | |
dc.date.accessioned | 2022-08-31T14:35:50Z | |
dc.date.available | 2022-08-31T14:35:50Z | |
dc.date.issued | 2022-07-18 | |
dc.identifier | ARTN 899180 | |
dc.identifier.citation | Frontiers in Oncology, 2022, 12 pp. 899180 - | |
dc.identifier.issn | 2234-943X | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/5358 | |
dc.identifier.eissn | 2234-943X | |
dc.identifier.eissn | 2234-943X | |
dc.identifier.doi | 10.3389/fonc.2022.899180 | |
dc.description.abstract | BACKGROUND: 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.format | Electronic-eCollection | |
dc.format.extent | 899180 - | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | FRONTIERS MEDIA SA | |
dc.relation.ispartof | Frontiers in Oncology | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | DWI (diffusion weighted imaging) | |
dc.subject | Intraclass correlation coefficient (ICC) | |
dc.subject | apparent diffusion coefficient (ADC) | |
dc.subject | radiomics | |
dc.subject | radiotherapy | |
dc.subject | repeatability | |
dc.subject | soft-tissue sarcoma | |
dc.title | Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2022-06-17 | |
dc.date.updated | 2022-08-31T14:33:54Z | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.3389/fonc.2022.899180 | |
rioxxterms.licenseref.startdate | 2022-07-18 | |
rioxxterms.type | Journal Article/Review | |
pubs.author-url | https://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-status | Published online | |
pubs.volume | 12 | |
icr.researchteam | Radiother Phys Modelling | |
icr.researchteam | Mol and Systems Oncology | |
icr.researchteam | Quant Biomed Imaging | |
icr.researchteam | Computational Imaging | |
dc.contributor.icrauthor | Arthur, Amani | |
dc.contributor.icrauthor | Collins, David | |
dc.contributor.icrauthor | Huang, Paul | |
dc.contributor.icrauthor | O'Connor, James Patrick | |
dc.contributor.icrauthor | Blackledge, Matthew | |
icr.provenance | Deposited by Mr Arek Surman on 2022-08-31. Deposit type is initial. No. of files: 1. Files: fonc-12-899180.pdf | |