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Abstract #2445

A novel feature reduction framework for reliable delta-radiomics of prostate cancer response to radiation therapy

Yu-Feng Wang1,2,3, Sirisha Tadimalla1,2, Yu Sun1, Lois Holloway1,3,4, Niluja Thiruthaneeswaran2,5, Sandra Turner2,5, Mark Sidhom4, Amy Hayden2, Jarad Martin6, and Annette Haworth1,2
1Institute of Medical Physics, The University of Sydney, Sydney, New South Wales, Australia, 2Sydney West Radiation Oncology, Westmead & Blacktown Hospital, Wentworthville, NSW, Australia, 3Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia, 4Liverpool and Macarthur Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia, 5Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia, 6Department of Radiation Oncology, Calvary Mater Newcastle, Newcastle, NSW, Australia

Synopsis

Keywords: Prostate, Quantitative Imaging, Prostate, radiomics, biomarkers, radiotherapy, treatment response

Motivation: Early detection of recurrent prostate cancer (PCa) following primary radiation therapy (RT) can enable salvage treatments. Delta-radiomics from longitudinal quantitative MRI shows promise as treatment response imaging biomarkers.

Goal(s): To develop a framework for identifying reliable radiomic features for robust, early detection of response to RT in PCa.

Approach: Voxel-wise radiomic feature maps were extracted from longitudinal quantitative MRI and assessed for their ability to detect treatment-related changes, accounting for measurement uncertainties.

Results: Only 20% of features with significant post-RT changes were reliably detectable. This framework can identify features that may improve predictive models for treatment response monitoring.

Impact: A framework for identifying reliable features in delta-radiomics of longitudinal prostate qMRI was developed. Predictive models built with these robust radiomic features may enable early detection and localisation of recurrences, providing an opportunity for salvage therapies of treatment-resistant tumours.

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Keywords