Dual-layer dual-energy CT for characterization of adrenal nodules: can virtual unenhanced images replace true unenhanced acquisitions?

Jinjin CaoSimon LennartzAnushri ParakhEvita JosephMichael BlakeDushyant SahaniAvinash R Kambadakone

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

dlDECT-derived VUE images overestimated attenuation in adrenal nodules, resulting in low sensitivity for diagnosis of lipid-rich adenomas using the established 10 HU threshold. Based on an adjusted threshold (≤ 22 HU) a higher sensitivity was attained, yet at the expense of a lower specificity, warranting further validation.

Keyphrases

dual energy
computed tomography
deep learning
convolutional neural network
image quality
optical coherence tomography
contrast enhanced
magnetic resonance imaging
fatty acid
machine learning