Predicting post-lung transplant survival in systemic sclerosis using CT-derived features from preoperative chest CT scans.
Jatin SinghGrant KokenbergerLucas PuErnest ChanAlaa AliKaveh MoghbeliTong YuChadi A HagePablo G SanchezJiantao PuPublished in: European radiology (2024)
Question What CT features can predict post-lung-transplant survival for SSc patients? Finding CT body composition features such as muscle mass, bone density, and cardiopulmonary volumes significantly predict survival. Clinical relevance Our individualized risk assessment tool can better guide clinicians in choosing and managing patients requiring lung transplant for systemic sclerosis.
Keyphrases
- systemic sclerosis
- body composition
- interstitial lung disease
- computed tomography
- end stage renal disease
- dual energy
- contrast enhanced
- image quality
- ejection fraction
- newly diagnosed
- chronic kidney disease
- magnetic resonance imaging
- peritoneal dialysis
- patients undergoing
- resistance training
- magnetic resonance
- rheumatoid arthritis
- high intensity
- bone regeneration