FEATURE TRACKING MULTI-DETECTOR ROW COMPUTED TOMOGRAPHY-DERIVED LEFT VENTRICULAR GLOBAL LONGITUDINAL STRAIN IN A LARGE COHORT OF TAVR PATIENTS AND ASSOCIATION WITH ALL-CAUSE MORTALITY

T Gegenava,Pieter van der Bijl,E M Vollema,Frank van der Kley,Arend de Weger,David Hautemann,Johan H. C. Reiber,Nina Ajmone Marsan,Jeroen J. Bax,Victoria Delgado

FEATURE TRACKING MULTI-DETECTOR ROW COMPUTED TOMOGRAPHY-DERIVED LEFT VENTRICULAR GLOBAL LONGITUDINAL STRAIN IN A LARGE COHORT OF TAVR PATIENTS AND ASSOCIATION WITH ALL-CAUSE MORTALITY

2020

T Gegenava
Pieter van der Bijl
E M Vollema
Frank van der Kley
Arend de Weger
David Hautemann
Johan H. C. Reiber
Nina Ajmone Marsan
Jeroen J. Bax
Victoria Delgado

Recent developments in multidetector row computed tomography (MDCT) permits assessment of left ventricular global longitudinal strain (LV GLS) with feature tracking (FT) and may play an important role in the risk-stratification of patients undergoing transcatheter aortic valve replacement (TAVR).

Keywords:

Detector
Computed tomography
Cardiology
feature tracking
Medicine
Cohort
Internal medicine
longitudinal strain
large cohort
Valve replacement
transcatheter aortic
all cause mortality
multi detector

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