ArticleBMC cardiovascular disorders2026
Left atrium incisure curvature: an indicator for predicting atrial fibrillation-related cardioembolism.
Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
backgroundThe use of supplementary parameters, such as clinical criteria, biomarkers, and imaging data, may enhance the risk prediction of stroke and systemic embolic events. Current stroke risk scores are clinically practical but limited in their ability to predict stroke risk accurately in individual patients. It is difficult for doctors to distinguish patients with truly high-thrombotic risk. In this study, we propose a simple and effective method for predicting stroke and systemic embolic events in patients with atrial fibrillation (AF).
methodsIn this retrospective study, 169 patients with AF were divided into three groups: Group A (those with paroxysmal AF with no cardioembolic events), Group B (those with persistent AF with no cardioembolic events), and Group C (those with persistent AF with cardioembolic events). By examining the chest CT images of all the included patients, we discovered that the left atrium (LA) incisure disappearing with the progression of AF, particularly in those with cardioembolic events (Group C). For the convenience of quantitative analysis, a border detection algorithm along with an LA incisure curvature computation algorithm was developed to predict cardioembolic events in patients with AF.
resultsThe results indicated that the average curve rates of LA incisure were - 2.6 (-3.55, -1.95) ×10
conclusionsLA incisure curvature is an effective indicator for predicting AF-related strokes and systemic embolic events, which should be confirmed through multicentre retrospective and prospective research in the future.
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