Diagnostic value of texture analysis of apparent diffusion coefficient maps for differentiating fat-poor angiomyolipoma from non-clear-cell renal cell carcinoma

Yuki Arita,Soichiro Yoshida,Thomas C Kwee,Hirotaka Akita,Shigeo Okuda, Yuki Iwaita, Kiyoko Mukai,Shunya Matsumoto,Ryo Ueda,Ryota Ishii,Ryuichi Mizuno,Yasuhisa Fujii,Mototsugu Oya,Masahiro Jinzaki

European Journal of Radiology（2021）

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摘要

•Texture analysis of ADC maps can differentiate fpAMLs from non-ccRCCs.•Several texture features reflecting signal homogeneity were useful.•Diagnostic performances in the development and validation cohorts were comparable.

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关键词

Angiomyolipoma,Renal cell carcinoma,Machine learning,Diffusion magnetic resonance imaging,Magnetic resonance imaging,Artificial Intelligence

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