Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy.
Embargo End Date
Authors
Thrussell, I
Winfield, JM
Orton, MR
Miah, AB
Zaidi, SH
Arthur, A
Thway, K
Strauss, DC
Collins, DJ
Koh, D-M
Oelfke, U
Huang, PH
O'Connor, JPB
Messiou, C
Blackledge, MD
Winfield, JM
Orton, MR
Miah, AB
Zaidi, SH
Arthur, A
Thway, K
Strauss, DC
Collins, DJ
Koh, D-M
Oelfke, U
Huang, PH
O'Connor, JPB
Messiou, C
Blackledge, MD
Document Type
Journal Article
Date
2022-07-18
Date Accepted
2022-06-17
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.
Citation
Frontiers in Oncology, 2022, 12 pp. 899180 -
Source Title
Frontiers in Oncology
Publisher
FRONTIERS MEDIA SA
ISSN
2234-943X
eISSN
2234-943X
2234-943X
2234-943X
Collections
Research Team
Radiother Phys Modelling
Mol and Systems Oncology
Quant Biomed Imaging
Computational Imaging
Mol and Systems Oncology
Quant Biomed Imaging
Computational Imaging