Literature DB >> 28395557

Using personalized computer models to custom-tailor ablation procedures for atrial fibrillation patients: are we there yet?

Patrick M Boyle1, Sohail Zahid1, Natalia A Trayanova1.   

Abstract

Entities:  

Keywords:  Atrial fibrillation; catheter ablation; computational modeling; fibrotic remodeling; late gadolinium-enhanced magnetic resonance imaging

Year:  2017        PMID： 28395557      PMCID： PMC6605771          DOI： 10.1080/14779072.2017.1317593

Source DB:  PubMed          Journal:  Expert Rev Cardiovasc Ther        ISSN： 1477-9072


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  24 in total

1.  A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.

Authors:  J D Bayer; R C Blake; G Plank; N A Trayanova
Journal:  Ann Biomed Eng       Date:  2012-05-31       Impact factor: 3.934

2.  Mechanistic inquiry into the role of tissue remodeling in fibrotic lesions in human atrial fibrillation.

Authors:  Kathleen S McDowell; Fijoy Vadakkumpadan; Robert Blake; Joshua Blauer; Gernot Plank; Rob S Macleod; Natalia A Trayanova
Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

3.  Magnetic resonance image intensity ratio, a normalized measure to enable interpatient comparability of left atrial fibrosis.

Authors:  Irfan M Khurram; Roy Beinart; Vadim Zipunnikov; Jane Dewire; Hirad Yarmohammadi; Takeshi Sasaki; David D Spragg; Joseph E Marine; Ronald D Berger; Henry R Halperin; Hugh Calkins; Stefan L Zimmerman; Saman Nazarian
Journal:  Heart Rhythm       Date:  2013-10-03       Impact factor: 6.343

4.  Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies.

Authors:  Fijoy Vadakkumpadan; Lukas J Rantner; Brock Tice; Patrick Boyle; Anton J Prassl; Edward Vigmond; Gernot Plank; Natalia Trayanova
Journal:  J Electrocardiol       Date:  2009-01-31       Impact factor: 1.438

5.  Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia.

Authors:  Hiroshi Ashikaga; Hermenegild Arevalo; Fijoy Vadakkumpadan; Robert C Blake; Jason D Bayer; Saman Nazarian; M Muz Zviman; Harikrishna Tandri; Ronald D Berger; Hugh Calkins; Daniel A Herzka; Natalia A Trayanova; Henry R Halperin
Journal:  Heart Rhythm       Date:  2013-04-19       Impact factor: 6.343

6.  Spatial distribution of fibrosis governs fibrillation wave dynamics in the posterior left atrium during heart failure.

Authors:  Kazuhiko Tanaka; Sharon Zlochiver; Karen L Vikstrom; Masatoshi Yamazaki; Javier Moreno; Matthew Klos; Alexey V Zaitsev; Ravi Vaidyanathan; David S Auerbach; Steve Landas; Gérard Guiraudon; José Jalife; Omer Berenfeld; Jérôme Kalifa
Journal:  Circ Res       Date:  2007-08-17       Impact factor: 17.367

7.  Detection and quantification of left atrial structural remodeling with delayed-enhancement magnetic resonance imaging in patients with atrial fibrillation.

Authors:  Robert S Oakes; Troy J Badger; Eugene G Kholmovski; Nazem Akoum; Nathan S Burgon; Eric N Fish; Joshua J E Blauer; Swati N Rao; Edward V R DiBella; Nathan M Segerson; Marcos Daccarett; Jessiciah Windfelder; Christopher J McGann; Dennis Parker; Rob S MacLeod; Nassir F Marrouche
Journal:  Circulation       Date:  2009-03-23       Impact factor: 29.690

Review 8.  Review of zero-D and 1-D models of blood flow in the cardiovascular system.

Authors:  Yubing Shi; Patricia Lawford; Rodney Hose
Journal:  Biomed Eng Online       Date:  2011-04-26       Impact factor: 2.819

9.  Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation.

Authors:  Kathleen S McDowell; Fijoy Vadakkumpadan; Robert Blake; Joshua Blauer; Gernot Plank; Rob S MacLeod; Natalia A Trayanova
Journal:  J Electrocardiol       Date:  2012-09-19       Impact factor: 1.438

10.  A comprehensive multiscale framework for simulating optogenetics in the heart.

Authors:  Patrick M Boyle; John C Williams; Christina M Ambrosi; Emilia Entcheva; Natalia A Trayanova
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919
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  7 in total

Review 1.  Computational modeling: What does it tell us about atrial fibrillation therapy?

Authors:  Eleonora Grandi; Dobromir Dobrev; Jordi Heijman
Journal:  Int J Cardiol       Date:  2019-01-25       Impact factor: 4.164

2.  Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models.

Authors:  Rheeda L Ali; Joe B Hakim; Patrick M Boyle; Sohail Zahid; Bhradeev Sivasambu; Joseph E Marine; Hugh Calkins; Natalia A Trayanova; David D Spragg
Journal:  Cardiovasc Res       Date:  2019-10-01       Impact factor: 10.787

3.  Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers.

Authors:  Joe B Hakim; Michael J Murphy; Natalia A Trayanova; Patrick M Boyle
Journal:  Europace       Date:  2018-11-01       Impact factor: 5.214

4.  Commentary: Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study.

Authors:  Axel Loewe; Olaf Dössel
Journal:  Front Physiol       Date:  2017-12-22       Impact factor: 4.566

5.  The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping.

Authors:  Patrick M Boyle; Joe B Hakim; Sohail Zahid; William H Franceschi; Michael J Murphy; Adityo Prakosa; Konstantinos N Aronis; Tarek Zghaib; Muhammed Balouch; Esra G Ipek; Jonathan Chrispin; Ronald D Berger; Hiroshi Ashikaga; Joseph E Marine; Hugh Calkins; Saman Nazarian; David D Spragg; Natalia A Trayanova
Journal:  Front Physiol       Date:  2018-08-29       Impact factor: 4.566

6.  Patient-Specific Identification of Atrial Flutter Vulnerability-A Computational Approach to Reveal Latent Reentry Pathways.

Authors:  Axel Loewe; Emanuel Poremba; Tobias Oesterlein; Armin Luik; Claus Schmitt; Gunnar Seemann; Olaf Dössel
Journal:  Front Physiol       Date:  2019-01-14       Impact factor: 4.566

7.  Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate.

Authors:  Dongdong Deng; Michael J Murphy; Joe B Hakim; William H Franceschi; Sohail Zahid; Farhad Pashakhanloo; Natalia A Trayanova; Patrick M Boyle
Journal:  Chaos       Date:  2017-09       Impact factor: 3.642
  7 in total

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