Abstract #2069
MRI-based radiomics quantification for characterization of clear cell renal cell carcinoma.
Octavia Bane1,2, Christopher Kyriakakos1, Nicolas Gillingham1, Jordan Cuevas1,2, Kirolos Meilika3, Jorge Daza3, Amir Horowitz4, Bachir Taouli1,2, Ketan Badani3, and Sara Lewis1,2
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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