Key result
Semi-automated edLASct cuts measurement time ~65% vs manual while maintaining comparable MACCE predictive power.
Why the study?
Left atrial strain is underused in routine practice due to the expertise and time required, prompting evaluation of whether a semi-automated method could address these limitations.
Does semi-automated left atrial strain analysis improve feasibility and reproducibility compared to manual analysis while maintaining predictive value for MACCE in patients undergoing CABG?
Observational (n=190)
Single-blind
No
Does semi-automated left atrial strain analysis improve feasibility and reproducibility compared to manual analysis while maintaining predictive value for MACCE in patients undergoing CABG?
Semi-automated left atrial strain analysis significantly reduces measurement time and improves reproducibility compared to manual methods, while maintaining comparable prognostic value for long-term cardiovascular events in patients undergoing CABG.
May shorten left atrial strain analysis time in CABG patients; leaves open routine adoption pending prospective validation.
BACKGROUND: Left atrial (LA) strain, a powerful parameter for assessing LA function, is underused in routine clinical practice because it requires expertise and time. The novel semi-automated method for the measurement of LA strain may circumvent these limitations. Hence, we investigated the feasibility, reproducibility, and clinical implications of the semi-automated method. METHODS: We prospectively enrolled 190 patients referred for coronary artery bypass grafting (CABG). LA strain was measured using the fully semi-automated and manual methods from the same apical four-chamber view 3 days before CABG. Patients were followed up every 6 months for major adverse cardiovascular and cerebrovascular events (MACCE). RESULTS: Manual border corrections were required in 26% of patients because of poor tracking quality. Measurement time was significantly shorter with the semi-automated method. Excellent intra- and inter-observer measurement agreement with minimal bias were observed for LA strain measured using the semi-automated method, which were better than those for LA strain measured using the manual method. Moreover, measured LA strain using the semi-automated method had a greater correlation coefficient with the LA ejection fraction and prediction power for left ventricular diastolic dysfunction. Over a median follow-up of 22.4 months, MACCE occurred in 36 (19.0%) patients. LA strain measured using both methods showed comparable usefulness for predicting MACCE. CONCLUSIONS: The novel semi-automated method rapidly measures LA strain with excellent reproducibility and has clinical application comparable to the manual method. This method may have the potential to be integrated into routine clinical practice and facilitate the implementation of LA strain. CLINICAL TRIAL NUMBER: Not applicable.
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Wang et al. (2025) conducted an observational in Patients referred for isolated coronary artery bypass grafting (CABG) (n=190). Semi-automated left atrial strain analysis vs. Manual left atrial strain analysis was evaluated on Major adverse cardiovascular and cerebrovascular events (MACCE) prediction using automated edLASct (HR 0.92, 95% CI 0.87-0.97, p=0.002). The semi-automated method significantly reduced measurement time compared to the manual method (0.87 vs 2.50 minutes) while demonstrating comparable predictive power for major adverse cardiovascular and cerebrovascular events (HR 0.92).
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