biostudies-literatureBlackledge MDCancer Research UKInstitute of Cancer Research, Royal Cancer HospitalNational Institute for Health Research (NIHR)941https://www.ebi.ac.uk/biostudies/studies/S-EPMC6795696biostudies-literatureUnknown9<b>Background:</b> Multi-parametric MRI provides non-invasive methods for response assessment of soft-tissue sarcoma (STS) from non-surgical treatments. However, evaluation of MRI parameters over the whole tumor volume may not reveal the full extent of post-treatment changes as STS tumors are often highly heterogeneous, including cellular tumor, fat, necrosis, and cystic tissue compartments. In this pilot study, we investigate the use of machine-learning approaches to automatically delineate tissue compartments in STS, and use this approach to monitor post-radiotherapy changes. <b>Methods:</b> Eighteen patients with retroperitoneal sarcoma were imaged using multi-parametric MRI; 8/18 received a follow-up imaging study 2-4 weeks after pre-operative radiotherapy. Eight commonly-used supervisFrontiers in oncologySupervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma.PMC679569616464II-LA-0216-20007Collins DJStrauss DKoh DMLeach MOBlackledge MDThway KWinfield JMMessiou CMorgan VAMiah AfalseSupervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma.<b>Background:</b> Multi-parametric MRI provides non-invasive methods for response assessment of soft-tissue sarcoma (STS) from non-surgical treatments. However, evaluation of MRI parameters over the whole tumor volume may not reveal the full extent of post-treatment changes as STS tumors are often highly heterogeneous, including cellular tumor, fat, necrosis, and cystic tissue compartments. In this pilot study, we investigate the use of machine-learning approaches to automatically delineate tissue compartments in STS, and use this approach to monitor post-radiotherapy changes. <b>Methods:</b> Eighteen patients with retroperitoneal sarcoma were imaged using multi-parametric MRI; 8/18 received a follow-up imaging study 2-4 weeks after pre-operative radiotherapy. Eight commonly-used supervis2019-01-01T00:00:00Z20192026-05-06T21:31:54.271Z2019-11-05T08:06:44ZS-EPMC67956963164987210.3389/fonc.2019.00941