Machine Learning–Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation

• Published in: Circulation. Arrhythmia and electrophysiology Vol. 14; no. 3; p. e009265
• Main Authors: Firouznia, Marjan, Feeny, Albert K., LaBarbera, Michael A., McHale, Meghan, Cantlay, Catherine, Kalfas, Natalie, Schoenhagen, Paul, Saliba, Walid, Tchou, Patrick, Barnard, John, Chung, Mina K., Madabhushi, Anant
• Format: Journal Article
• Language: English
• Published: United States Lippincott Williams & Wilkins 01.03.2021
• Subjects: Action Potentials; Atrial Fibrillation - diagnostic imaging; Atrial Fibrillation - physiopathology; Atrial Fibrillation - surgery; Atrial Function, Left; Catheter Ablation - adverse effects; Female; Fractals; Heart Atria - diagnostic imaging; Heart Atria - physiopathology; Heart Atria - surgery; Heart Rate; Humans; Machine Learning; Male; Middle Aged; Predictive Value of Tests; Pulmonary Veins - diagnostic imaging; Pulmonary Veins - physiopathology; Pulmonary Veins - surgery; Radiographic Image Interpretation, Computer-Assisted; Recurrence; Retrospective Studies; Risk Assessment; Risk Factors; Tomography, X-Ray Computed; Treatment Outcome; heart failure; atrial fibrillation; catheter ablation; machine learning; pulmonary veins
• ISSN: 1941-3084; 1941-3149; 1941-3084
• DOI: 10.1161/CIRCEP.120.009265

[Figure: see text].