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DIVAID software validation shows high accuracy for atrial geometry annotation compared to expert manual methods.

DIVAID software validation shows high accuracy for atrial geometry annotation compared to expert man…
Photo by Nathan Rimoux / Unsplash
Key Takeaway
DIVAID software shows high technical accuracy for atrial geometry annotation but requires validation for clinical utility.

This review and software development report evaluates the DIVAID software, an open-source tool designed for the automatic division of bi-atrial geometries. The validation study analyzed 140 geometries sourced from multiple modalities and centers, comparing DIVAID outputs against manual expert annotations. The primary outcome assessed the accuracy of regional boundaries using the Dice similarity coefficient and mean average surface distance, while secondary outcomes included vein clipping accuracy, orifice annotation accuracy, and speed and consistency.

The software demonstrated an orifice annotation accuracy of 100% and a Dice similarity coefficient of 0.98 for left atrial regions when compared to experts. For right atrial regions, the Dice similarity coefficient was 0.90 for DIVAID versus experts and 0.88 for inter-expert comparisons. Mean average surface distance for the left atrium was 0.17 mm, whereas the right atrium showed a larger distance of 1.93 mm. Vein clipping accuracy was reported at 81%.

The authors state that DIVAID enables large-scale, standardized regional analyses and data-driven investigation of harmonized, multi-dimensional datasets. This capability may advance atrial arrhythmia research and personalized treatment strategies. However, the report does not report adverse events, discontinuations, or tolerability. The authors caution that these validation metrics should not be interpreted as evidence of clinical efficacy or improved patient outcomes, as no clinical trial data is presented.

Study Details

EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
The recently published EHRA/EACVI consensus statement on a standardized bi-atrial regionalization provides new opportunities for consistent regional analyses across patients, imaging modalities and clinical centers. To make this standardized regionalization widely accessible, we developed the open-source software DIVAID, which automatically divides bi-atrial geometries according to the proposed regions, ensuring consistency, reproducibility and operator independence. We evaluated the accuracy of the algorithm by comparing its results to manual expert annotations across 140 geometries from multiple modalities and centers. Veins were automatically clipped correctly in 81% and orifices annotated correctly in 100% of cases. The median (interquartile range; IQR) Dice similarity coefficient (DSC) for left atrial regions was 0.98 (0.96-1.00) for DIVAID-expert and 0.98 (0.94-1.00) for inter-expert comparisons. For right atrial geometries, DSC was higher for DIVAID-expert than for inter-expert comparisons at 0.90 (0.80-0.95) and 0.88 (0.74-0.94), respectively. To assess the accuracy of regional boundaries, we computed the mean average surface distance (MASD) for boundaries derived from automatic or manual annotations. The median (IQR) MASD between DIVAID and experts was 0.17 mm (0.03-0.78) and 1.93 mm (0.65-3.96) in the left and right atrium, respectively. To conclude, DIVAID robustly divides anatomically diverse bi-atrial geometries according to the 15-segment model, while outperforming cardiac experts in both speed and consistency, and demonstrating an accuracy of regional boundaries comparable to the spatial resolution of cardiac imaging modalities. By providing automated, consistent atrial regionalization, DIVAID enables large-scale, standardized regional analyses and data-driven investigation of harmonized, multi-dimensional datasets, which may advance atrial arrhythmia research and personalized treatment strategies.
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