Artificial intelligence-based analysis of body composition in Marfan: skeletal muscle density and psoas muscle index predict aortic enlargement.
Nick Lasse BeetzChristoph MaierSeyd ShnayienTobias Daniel TrippelPetra GehleUli FehrenbachDominik GeiselPublished in: Journal of cachexia, sarcopenia and muscle (2021)
Artificial intelligence-based analysis of body composition at L3 in Marfan patients is feasible and easily available from CT angiography. Analysis of body composition at L3 revealed significantly higher SMD in patients with progressive aortic enlargement. PMI and SMD significantly predicted aortic enlargement in these patients. Using body composition as a predictor of progressive aortic enlargement may contribute information for risk stratification regarding follow-up intervals and the need for aortic repair.
Keyphrases
- body composition
- artificial intelligence
- resistance training
- bone mineral density
- aortic valve
- end stage renal disease
- skeletal muscle
- aortic dissection
- machine learning
- left ventricular
- big data
- pulmonary artery
- ejection fraction
- chronic kidney disease
- deep learning
- newly diagnosed
- multiple sclerosis
- peritoneal dialysis
- heart failure
- atrial fibrillation
- coronary artery
- pulmonary hypertension
- pulmonary arterial hypertension