The impact of machine-learning-derived lean psoas muscle area on prognosis of type B aortic dissection patients undergoing endovascular treatment.

Jitao LiuSheng SuWeijie LiuEnmin XieXiaolu HuWenhui LinHuanyu DingSongyuan LuoYuan LiuWenhui HuangJie LiFan YangJianFang Luo

Published in: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery (2022)

Baseline LPMA could profoundly affect the prognosis of patients undergoing thoracic endovascular aortic repair. It was feasible to integrate the automatic muscle measurements into clinical routine.

Keyphrases

patients undergoing
endovascular treatment
aortic dissection
machine learning
skeletal muscle
deep learning
spinal cord
artificial intelligence
clinical practice
big data