CT negative attenuation pixel distribution and texture analysis for detection of fat in small angiomyolipoma on unenhanced CT

Abstract

The purpose of the paper is to evaluate if CT pixel distribution and texture analysis can identify fat in angiomyolipoma (AML) on unenhanced CT. Thirty-seven patients with 38 AMLs and 75 patients with 83 renal cell carcinomas (RCCs) were evaluated. Region of interest (ROI) was manually placed over renal mass on unenhanced CT. In-house software generated… (More)
DOI: 10.1007/s00261-016-0714-y

Topics

7 Figures and Tables

Cite this paper

@article{Takahashi2016CTNA, title={CT negative attenuation pixel distribution and texture analysis for detection of fat in small angiomyolipoma on unenhanced CT}, author={Naoki Takahashi and Mitsuru Takeuchi and Kohei Sasaguri and Shuai Leng and Adam T. Froemming and Akira Kawashima}, journal={Abdominal Radiology}, year={2016}, volume={41}, pages={1142-1151} }