Abstract

Automating cardiac function assessment on cardiac magnetic resonance short-axis cines is faster and more reproducible than manual contour-tracing; however, accurately tracing basal contours remains challenging. Three automated post-processing software packages (Level 1) were compared to manual assessment. Subsequently, automated basal tracings were manually adjusted using a standardized protocol combined with software package-specific relative-to-manual standard error correction (Level 2). All post-processing was performed in 65 healthy subjects. Manual contour-tracing was performed separately from Level 1 and 2 automated analysis. Automated measurements were considered accurate when the difference was equal or less than the maximum manual inter-observer disagreement percentage. Level 1 (2.1 ± 1.0 min) and Level 2 automated (5.2 ± 1.3 min) were faster and more reproducible than manual (21.1 ± 2.9 min) post-processing, the maximum inter-observer disagreement was 6%. Compared to manual, Level 1 automation had wide limits of agreement. The most reliable software package obtained more accurate measurements in Level 2 compared to Level 1 automation: left ventricular end-diastolic volume, 98% and 53%; ejection fraction, 98% and 60%; mass, 70% and 3%; right ventricular end-diastolic volume, 98% and 28%; ejection fraction, 80% and 40%, respectively. Level 1 automated cardiac function post-processing is fast and highly reproducible with varying accuracy. Level 2 automation balances speed and accuracy.

Highlights

  • Cardiovascular magnetic resonance (CMR) imaging is the reference standard for noninvasive assessment of ventricular volumes, function, and left ventricular (LV) mass [1].Conventional post-processing by manually contour-tracing a stack of short-axis slices in end-diastolic and end-systolic phase is time-consuming [2,3]

  • We assessed the benefit of manually adjusting Level 1 automated basal tracings using a standardized protocol

  • Level 1 automated post-processing was ten times faster with higher reproducibility compared to manual contour-tracing, big differences resulted in few measurements that were considered accurate with large variation between software packages

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Summary

Introduction

Cardiovascular magnetic resonance (CMR) imaging is the reference standard for noninvasive assessment of ventricular volumes, function, and left ventricular (LV) mass [1].Conventional post-processing by manually contour-tracing a stack of short-axis slices in end-diastolic and end-systolic phase is time-consuming [2,3]. Commercially available artificial intelligence software has the ability to reduce post-processing time while increasing reproducibility [4], and several studies already showed promising results for Level 1 automated assessment [5,6,7,8,9,10]. The major challenge in measurement accuracy is basal tracing; dealing with cardiac through-plane motion combined with the complexity of basal anatomy which varies between individuals [3,11]. These introduce disagreement with manual reference tracings, leading to different standards being used between sites, especially for the right ventricle (RV) [5,8,12]. Level 1 automated measurements can contain significant vendor-specific relative standard error in all slices [6,8,13]

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