Artificial intelligence-based analysis of body composition predicts outcome in patients receiving long-term mechanical circulatory support.
Isabell Anna JustFelix SchoenrathLuise RoehrichEmanuel HeilJulia SteinTimo Alexander AuerUli FehrenbachEvgenij PotapovNatalia SolowjowaFelix BalzerDominik GeiselJuergen BraunGeorg BoeningPublished in: Journal of cachexia, sarcopenia and muscle (2023)
Preoperative AI-based CT body composition identifies patients with poor outcome after LVAD implantation. Greater adipose tissue areas are associated with an increased risk for postoperative infections, in-hospital mortality and impaired 6MWD and QoL within 6 months postoperatively.
Keyphrases
- body composition
- artificial intelligence
- adipose tissue
- patients undergoing
- machine learning
- big data
- resistance training
- deep learning
- bone mineral density
- computed tomography
- genome wide
- image quality
- insulin resistance
- dual energy
- high fat diet
- contrast enhanced
- positron emission tomography
- gene expression
- left ventricular assist device
- metabolic syndrome
- dna methylation
- skeletal muscle
- pet ct