Abstract:
BACKGROUND:We aimed to optimize the acquisition of the left atrial (LA) and pulmonary vein (PV) ultrasound contours for more accurate integration of intracardiac echocardiography (ICE) and computed tomography (CT) using the CARTO® 3 system during atrial fibrillation (AF) ablation. METHODS:Eighty-five AF patients underwent integration of ICE and CT using (1) the LA roof and posterior wall contours acquired from the right atrium (RA), (2) all LA/PV contours from the RA (Whole-RA-integration), (3) the LA roof/posterior wall contours from the RA and right ventricular outflow tract (RVOT) (Posterior-RA/RV-integration), and (4) all LA/PV contours from the RA and RVOT (Whole-RA/RV-integration). The integration accuracy was compared using the (1) surface registration error, (2) distances between the three-dimensional CT and eight specific sites on the anterior, posterior, superior, and inferior aspects of the right and left circumferential PV isolation lines, and (3) registration score: a score of 0 or 1 was assigned for whether or not each specific site was visually aligned with the CT, and summed for each method (0 best, 8 worst). RESULTS:Posterior-RA/RV-integration revealed a significantly lower surface registration error (1.30±0.15mm) than Whole-RA- and Whole-RA/RV-integration (p<0.001). The mean distances of the eight specific sites and the registration score for Posterior-RA/RV-integration (median 1.26mm and 2, respectively) were significantly smaller than those for the other integration approaches (p<0.001). CONCLUSIONS:Image integration with the LA roof and posterior wall contours acquired from the RA and RVOT may provide greater accuracy for catheter navigation with three-dimensional CT during AF ablation.
journal_name
Int J Cardioljournal_title
International journal of cardiologyauthors
Nakamura K,Naito S,Kaseno K,Nakatani Y,Sasaki T,Anjo N,Yamashita E,Kumagai K,Funabashi N,Kobayashi Y,Oshima Sdoi
10.1016/j.ijcard.2016.11.189subject
Has Abstractpub_date
2017-02-01 00:00:00pages
677-686eissn
0167-5273issn
1874-1754pii
S0167-5273(16)33666-Xjournal_volume
228pub_type
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