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Abstract #0972

Characterization of Renal Tumors: Integrating Biomechanical, Functional and Morphological Assessment Using 3 Tesla Magnetic Resonance Elastography

Davide Prezzi1, Radhouene Neji2,3, James J Stirling3, Sami Jeljeli3, Hema Verma4, Tim O'Brien5, Benjamin Challacombe5, Archana Fernando5, Ashish Chandra6, Vicky Goh1, and Ralph Sinkus7

1Cancer Imaging, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare, Frimley, United Kingdom, 3King's College London, London, United Kingdom, 4Radiology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 5Urology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 6Pathology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 7Biomedical Engineering, King's College London, London, United Kingdom

Incidentally detected renal tumors are overtreated surgically: up to 20% of them are benign, most frequently oncocytomas. We hypothesize that integrating biomechanical assessment with functional/morphological MRI can improve lesion characterization, precluding unnecessary surgery. Initial experience in 5 resected renal oncocytomas and 13 renal cell carcinomas (RCC) demonstrates that MR Elastography (MRE) at 30Hz with shear modulus parametric mapping is feasible and adds value within a multiparametric MRI assessment: oncocytoma displays higher median shear attenuation (α) and lower shear velocity (C) than RCC. MRE parameters appear to be stronger classifiers than quantitative DCE MRI parameters (Ktrans, kep), ADC and T2 signal intensity.

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