Key result
Automated OptiLayer achieves high LV wall thickness inter-investigator agreement in ~75% of segments versus manual methods.
Why the study?
No automated software exists for measuring CMR myocardial segmental wall thickness, necessitating manual caliper measurements that carry risks of inaccuracy.
Does automated cardiac MRI software (OptiLayer) improve the reproducibility of left ventricular segmental wall thickness measurements compared to manual methods in healthy and LVET subjects?
Cross-Sectional (n=100)
Does automated cardiac MRI software (OptiLayer) improve the reproducibility of left ventricular segmental wall thickness measurements compared to manual methods in healthy and LVET subjects?
The OptiLayer automated software provides a highly reproducible alternative to manual caliper measurements for assessing left ventricular wall thickness on cardiac MRI.
Automated LV wall thickness measurement may boost reproducibility; hypothesis-generating and should not yet change practice.
Introduction: Changes in left ventricular (LV) wall thickness serve as important diagnostic and prognostic indicators in various cardiovascular diseases. To date, no automated software exists for the measurement of myocardial segmental wall thickness in cardiac MRI (CMR), which leads to reliance on manual caliper measurements that carry risks of inaccuracy. Aims: This paper aims to present a new automated segmental wall thickness measurement software, OptiLayer, developed to address this issue and to compare it with the conventional manual measurement method. Methods: In our pilot study, the algorithm of the OptiLayer software was tested on 50 HEALTHY individuals, and 50 excessively trabeculated noncompaction (LVET) subjects with preserved LV function, whose morphology makes it more challenging to measure left ventricular wall thickness, although often occurring with myocardial thinning. Measurements were performed by two independent investigators who assessed LV wall thicknesses in 16 segments, both manually using the Medis Suite QMass program and automatically with the new OptiLayer method, which enables high-density sampling across the distance between the epicardial and endocardial contours. Results: The results showed that the segmental wall thickness measurement values of the OptiLayer algorithm were significantly higher than those of the manual caliper. In comparisons of the HEALTHY and LVET subgroups, OptiLayer measurements demonstrated differences at several points than manual measurements. Between the investigators, manual measurements showed low intraclass correlations (ICC below 0.6 on average), while measurements with OptiLayer gave excellent agreement (ICC above 0.9 in 75% of segments). Conclusions: Our study suggests that OptiLayer, a new automated wall thickness measurement software based on high-precision anatomical segmentation, offers a faster, more accurate, and more reproducible alternative to manual measurements.
No takes yet. Share an insight, caveat, or question.
Mester et al. (2025) conducted a cross-sectional in Excessively trabeculated noncompaction (LVET) and healthy individuals (n=100). OptiLayer automated software vs. Manual measurement (Medis Suite QMass) was evaluated on Inter-investigator agreement (intraclass correlation) for segmental left ventricular wall thickness. Automated left ventricular wall thickness measurement using OptiLayer yielded higher inter-investigator agreement compared to manual measurement (ICC >0.9 in 75% of segments vs ICC <0.6 on average).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: