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

[Figure: see text].

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Bibliographische Detailangaben
Veröffentlicht in:	Circulation. Arrhythmia and electrophysiology 2021-03, Vol.14 (3), p.e009265-e009265
Hauptverfasser:	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:	Artikel
Sprache:	eng
Schlagworte:	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
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