Quantitative enhancement thresholds and machine learning algorithms for the evaluation of renal lesions using single-phase split-filter dual-energy CT.

Markus M ObmannAurelio CosentinoJoshy CyriacVerena HofmannBram StieltjesDaniel T BollBenjamin M YehMatthias R Benz

Published in: Abdominal radiology (New York) (2021)

Enhancement in incidental renal lesions on single-phase tbDECT can be classified with up to 87.5% sensitivity and 94.6% specificity. Algorithms combining DECT parameters did not increase overall performance.

Keyphrases

machine learning
dual energy
computed tomography
image quality
artificial intelligence
deep learning
big data
contrast enhanced
positron emission tomography
mass spectrometry
structural basis