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Updated: Jan 16, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
A Novel Multiparametric Model Integrating Aortoseptal Angle to Predict the Origin of Outflow Tract Ventricular
Sunu Budhi Raharjo1, Charles Saputra1, Andre Tritansa Faizal1
1Division of Arrhythmia, Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita Jakarta Indonesia.
Background:
Localizing the site of origin of outflow tract ventricular arrhythmias (OTVA) before ablation remains challenging despite existing ECG algorithms. Anatomical alterations of the aortic root associated with left ventricular outflow tract (LVOT) origin can be visualized through aortoseptal angle measurement. This study investigated the aortoseptal angle for predicting LVOT origin and improving the predictive power of current ECG algorithms.
Methods:
Patients undergoing successful OTVA ablation at a national cardiovascular referral hospital were enrolled. Transthoracic echocardiography measured the aortoseptal angle before ablation. Patients with structural abnormalities, multifocal arrhythmias, reduced ejection fraction, unsuccessful ablation, or non-inducible VAs were excluded. Multivariable logistic regression was used to develop a diagnostic model.
Results:
Forty-eight patients were included (44.9 ± 12.2 years, 79.8% female). Patients with LVOT origin (17.1%) had higher hypertension prevalence (71.4% vs. 17.6%; p < 0.001) and smaller aortoseptal angles (128.0 ± 6.2 vs. 136.7 ± 5.8; p < 0.001) than right ventricular outflow tract (RVOT) origin. The aortoseptal angle demonstrated good diagnostic performance (AUC 85.5%), comparable to ECG algorithms (V2 transition ratio 90.3%, V2S/V3R index 81.4%). Multivariable analysis identified three independent predictors: hypertension (OR 10.35; 95% CI: 1.07-99.87; p = 0.043), aortoseptal angle (OR 0.79; 95% CI: 0.65-0.96; p = 0.033), and V2 transition ratio (OR 12.12; 95% CI: 1.03-141.48; p = 0.026). The integrated model substantially improved performance (AUC 0.966, sensitivity 92.31%, specificity 88.24%).
Conclusions:
Aortoseptal angle measurement by echocardiography effectively identifies LVOT origin. Integration with hypertension status and V2 transition ratio substantially enhances diagnostic accuracy, supporting the use in pre-ablation assessment.
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