Abstract #2069

MRI-based radiomics quantification for characterization of clear cell renal cell carcinoma.

Octavia Bane^1,2, Christopher Kyriakakos¹, Nicolas Gillingham¹, Jordan Cuevas^1,2, Kirolos Meilika³, Jorge Daza³, Amir Horowitz⁴, Bachir Taouli^1,2, Ketan Badani³, and Sara Lewis^1,2

¹Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ²BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ³Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁴Division of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

In this prospective, single-center study, we evaluated the use of qualitative features and quantitative radiomics features from MRI for diagnosis and characterization of clear cell renal cell carcinoma (ccRCC). Qualitative features in isolation were of no value for diagnosing ccRCC, while the ccRCC likelihood score, which takes into account qualitative T2w signal and contrast enhancement pattern, had comparable diagnostic performance to the quantitative radiomics features. Quantitative radiomics features had good to excellent diagnostic performance in identifying ccRCC, as well as correlated to grade of ccRCC.

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