Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study.
Hyo-Jin KangJeong Min LeeChulkyun AhnJae Seok BaeSeungchul HanSe Woo KimJeong Hee YoonJoon Koo HanPublished in: European radiology (2023)
• Deep-learning-based contrast-boosting algorithm on double-low-dose CT provided an improved contrast-to-noise ratio compared to standard-dose CT. • The detection rate of focal liver lesions was not significantly differed between standard-dose CT and a deep-learning-based contrast-boosting algorithm on double-low-dose CT. • Double-low-dose CT without a deep-learning algorithm presented lower CNR and worse image quality.
Keyphrases
- deep learning
- image quality
- low dose
- contrast enhanced
- computed tomography
- dual energy
- magnetic resonance
- artificial intelligence
- machine learning
- convolutional neural network
- magnetic resonance imaging
- double blind
- high dose
- positron emission tomography
- placebo controlled
- clinical trial
- air pollution
- neural network
- loop mediated isothermal amplification
- sensitive detection
- real time pcr