Abstract #2812

Microvascular Heterogeneity Assessed Using DCE-MRI Predicts Disease-Free Survival in Cancers of the Cervix, Bladder, and Head and Neck

Ben R Dickie^1,2, Lucy E Kershaw^1,2, Bernadette M Carrington³, Suzanne Bonington³, Susan E Davidson³, Catharine ML West¹, and Chris J Rose⁴

¹Institute of Cancer Sciences, The University of Manchester, Manchester, United Kingdom, ²Christie Medical Physics and Engineering, Christie NHS Foundation Trust, Manchester, United Kingdom, ³Diagnostic Radiology, Christie NHS Foundation Trust, Manchester, United Kingdom, ⁴Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom

There is a clinical need for non-invasive imaging biomarkers capable of accurately predicting outcomes in locally advanced cancers. Microvascular heterogeneity measurements obtained from dynamic contrast enhanced-MRI have shown prognostic utility however no attempt has been made to compare the prognostic value of the available methods across disease and identify which type of heterogeneity (statistical or spatial) is important for survival. In this study we identify heterogeneity biomarkers that are universally prognostic across cancers of the cervix, bladder, and head and neck and compare their prognostic value to standard clinicopathologic factors such as disease stage.

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