BACKGROUND: Three-dimensional virtual anatomic navigation is increasingly used during mapping and ablation of complex arrhythmias. NavX Fusion software aims to mold the virtual anatomy to the patient's computed tomography (CT) image; however, the accuracy and clinical usefulness of this system have not been reported. OBJECTIVE: The purpose of this study was to assess the accuracy and describe the initial experience of CT image integration using NavX Fusion for atrial fibrillation ablation. METHODS: This study consisted of 55 consecutive patients undergoing atrial fibrillation ablation using NavX Fusion navigation. Left atrial NavX geometries were compared to a corresponding CT for geometric match. Geometric match, expressed as the difference in millimeters between CT and NavX geometry, was calculated for the original geometry (GEO-1), field scaled and primary fused geometry (GEO-2), and final secondary fused geometry (GEO-3). Navigational accuracy was assessed by moving the catheter to 10 discrete anatomic sites and determining the distance between the catheter tip and the closest GEO-2, GEO-3, and CT surface. Fusion integration time and procedural and fluoroscopic durations were recorded to assess clinical usefulness. RESULTS: GEO-1, GEO-2 and GEO-3 were associated with CT-GEO errors of 6.6+/-2.8 mm, 4.1+/-0.7 mm, 1.9+/-0.4 mm, respectively. Navigational accuracy was not significantly different for GEO-2, GEO-3, and CT at 3.4+/-1.6 mm to any surface. A significant (P < or =.001) inverse curvilinear relationship was present between case number and the time required for image integration (r(2) = 0.35) and the fluoroscopic time normalized for procedural duration (r(2) = 0.18). CONCLUSION: Image integration using the NavX Fusion software is highly accurate and is associated with a progressive reduction in fluoroscopic time relative to procedural duration.
BACKGROUND: Three-dimensional virtual anatomic navigation is increasingly used during mapping and ablation of complex arrhythmias. NavX Fusion software aims to mold the virtual anatomy to the patient's computed tomography (CT) image; however, the accuracy and clinical usefulness of this system have not been reported. OBJECTIVE: The purpose of this study was to assess the accuracy and describe the initial experience of CT image integration using NavX Fusion for atrial fibrillation ablation. METHODS: This study consisted of 55 consecutive patients undergoing atrial fibrillation ablation using NavX Fusion navigation. Left atrial NavX geometries were compared to a corresponding CT for geometric match. Geometric match, expressed as the difference in millimeters between CT and NavX geometry, was calculated for the original geometry (GEO-1), field scaled and primary fused geometry (GEO-2), and final secondary fused geometry (GEO-3). Navigational accuracy was assessed by moving the catheter to 10 discrete anatomic sites and determining the distance between the catheter tip and the closest GEO-2, GEO-3, and CT surface. Fusion integration time and procedural and fluoroscopic durations were recorded to assess clinical usefulness. RESULTS: GEO-1, GEO-2 and GEO-3 were associated with CT-GEO errors of 6.6+/-2.8 mm, 4.1+/-0.7 mm, 1.9+/-0.4 mm, respectively. Navigational accuracy was not significantly different for GEO-2, GEO-3, and CT at 3.4+/-1.6 mm to any surface. A significant (P < or =.001) inverse curvilinear relationship was present between case number and the time required for image integration (r(2) = 0.35) and the fluoroscopic time normalized for procedural duration (r(2) = 0.18). CONCLUSION: Image integration using the NavX Fusion software is highly accurate and is associated with a progressive reduction in fluoroscopic time relative to procedural duration.
Authors: Jacob S Koruth; E Kevin Heist; Stephan Danik; Conor D Barrett; Rajesh Kabra; Dan Blendea; Jeremy Ruskin; Moussa Mansour Journal: J Interv Card Electrophysiol Date: 2011-04-19 Impact factor: 1.900
Authors: Jakob Lüker; Arian Sultan; Boris Hoffmann; Benjamin Schäffer; Doreen Schreiber; Özge Akbulak; Stephan Willems; And Daniel Steven Journal: J Atr Fibrillation Date: 2013-10-31
Authors: Jiquan Liu; Maryam E Rettmann; David R Holmes; Huilong Duan; Richard A Robb Journal: Comput Med Imaging Graph Date: 2011-03-03 Impact factor: 4.790
Authors: Roberto De Ponti; Raffaella Marazzi; Domenico Lumia; Giuseppe Picciolo; Roberto Biddau; Carlo Fugazzola; Jorge A Salerno-Uriarte Journal: World J Cardiol Date: 2010-08-26
Authors: Rishi Anand; Maxim V Gorev; Hermine Poghosyan; Lindsay Pothier; John Matkins; Gregory Kotler; Sarah Moroz; James Armstrong; Sergei V Nemtsov; Michael V Orlov Journal: J Interv Card Electrophysiol Date: 2016-02-10 Impact factor: 1.900