Low Contrast Agent and Radiation Dose Protocol Liver CT With Deep-learning-based Contrast Boosting Model in Patients at High Risk for HCC: Prospective, Randomized, Single Blinded - Preliminary Study
Low Contrast Agent and Radiation Dose Protocol Liver CT With Deep-learning-based Contrast Boosting Model in Patients at High Risk for HCC: Prospective, Randomized, Single Blinded - Preliminary Study
The purpose of this study is to investigate the image quality and clinical feasibility of double low-dose liver computed tomography using a deep-learning-based iodine contrast boosting algorithm in participants at high risk for hepatocellular carcinoma.
The purpose of this study is to investigate the image quality (CNR, subjective inage quality, vessel and lesion conspicuity) and clinical feasibility (rate of lesion detection) of double low-dose liver computed tomography using a deep-learning-based iodine contrast boosting algorithm in participants at high risk for hepatocellular carcinoma.
Inclusion Criteria:
Exclusion Criteria: