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. 2021 Nov;14(11):2260-2262.
doi: 10.1016/j.jcmg.2021.06.018. Epub 2021 Jul 14.

Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning

Neal Yuan, Ishan Jain, Neeraj Rattehalli, Bryan He, Charles Pollick, David Liang, Paul Heidenreich, James Zou, Susan Cheng, David Ouyang

Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning

Neal Yuan et al. JACC Cardiovasc Imaging. 2021 Nov.
No abstract available

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Figures

Figure 1.
Figure 1.. Effects of manual tracing and view acquisition errors on measured left ventricular ejection fraction
Absolute changes in calculated left ventricular (LV) ejection fraction after systematic introduction of varying degrees of common tracing and view acquisition errors, including errors in (A) choice of end systolic volume (ESV) frame, (B) angle of left ventricular longitudinal axis, (C) foreshortening of the left ventricular apex, (D) mitral valve (MV) annulus level, and (E) tracing of the endocardial borders.
See this image and copyright information in PMC

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