Diagnostic Value of Fully Automated Artificial Intelligence Powered Coronary Artery Calcium Scoring from 18F-FDG PET/CT.
Claudia MorfThomas SartorettiAntonio Giulio GennariAlexander MaurerStephan M Beintner-SkawranAndreas A GiannopoulosElisabeth SartorettiMoritz SchwyzerAlessandra Curioni-FontecedroCatherine GebhardRonny Ralf BuechelPhilipp A KaufmannMartin W HuellnerMichael MesserliPublished in: Diagnostics (Basel, Switzerland) (2022)
Fully automated AI-CACS as performed on non-contrast free-breathing, ungated CT scans from 18F-FDG-PET/CT examinations is feasible and provides an acceptable to good estimation of CAC burden. CAC load on ungated CT is, however, generally underestimated by AI-CACS, which should be taken into account when interpreting imaging findings.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- contrast enhanced
- dual energy
- computed tomography
- coronary artery
- big data
- image quality
- magnetic resonance imaging
- magnetic resonance
- high throughput
- pulmonary artery
- high resolution
- positron emission tomography
- risk factors
- pulmonary arterial hypertension
- fluorescence imaging
- pulmonary hypertension
- photodynamic therapy