CLC number:
On-line Access: 2021-10-12
Received: 2020-11-13
Revision Accepted: 2021-03-26
Crosschecked: 0000-00-00
Cited: 0
Clicked: 3675
Citations: Bibtex RefMan EndNote GB/T7714
Zhenghong WU, Yunlong LIU, Lv TONG, Diandian DONG, Dongdong DENG, Ling XIA. Current progress of computational modeling for guiding clinical atrial fibrillation ablation[J]. Journal of Zhejiang University Science B,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.B2000727 @article{title="Current progress of computational modeling for guiding clinical atrial fibrillation ablation", %0 Journal Article TY - JOUR
计算模型指导临床房颤消融的进展现状关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]AhmedA, UllahW, HussainI, et al., 2019. Atrial fibrillation: a leading cause of heart failure-related hospitalizations; a dual epidemic. Am J Cardiovasc Dis, 9(5):109-115. [2]AlessandriniM, ValinotiM, UngerL, et al., 2018. A computational framework to benchmark basket catheter guided ablation in atrial fibrillation. Front Physiol, 9:1251. [3]AliRL, HakimJB, BoylePM, et al., 2019. Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models. Cardiovasc Res, 115(12):1757-1765. [4]BayerJD, RoneyCH, PashaeiA, et al., 2016. Novel radiofrequency ablation strategies for terminating atrial fibrillation in the left atrium: a simulation study. Front Physiol, 7:108. [5]BayerJD, BoukensBJ, KrulSPJ, et al., 2019. Acetylcholine delays atrial activation to facilitate atrial fibrillation. Front Physiol, 10:1105. [6]BenjaminEJ, BlahaMJ, ChiuveSE, et al., 2017. Heart Disease and Stroke Statistics-2017 Update: a report from the American Heart Association. Circulation, 135(10):e146-e603. [7]BhattiA, OakeshottP, DhinojaM, et al., 2019. Ablation therapy in atrial fibrillation. BMJ, 367:l6428. [8]BoylePM, HakimJB, ZahidS, et al., 2018a. Comparing reentrant drivers predicted by image-based computational modeling and mapped by electrocardiographic imaging in persistent atrial fibrillation. Front Physiol, 9:414. [9]BoylePM, HakimJB, ZahidS, et al., 2018b. The fibrotic substrate in persistent atrial fibrillation patients: comparison between predictions from computational modeling and measurements from focal impulse and rotor mapping. Front Physiol, 9:1151. [10]BoylePM, ZghaibT, ZahidS, et al., 2019. Computationally guided personalized targeted ablation of persistent atrial fibrillation. Nat Biomed Eng, 3(11):870-879. [11]CantwellCD, MohamiedY, TzortzisKN, et al., 2019. Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling. Comput Biol Med, 104:339-351. [12]ChrispinJ, Gucuk IpekE, ZahidS, et al., 2016. Lack of regional association between atrial late gadolinium enhancement on cardiac magnetic resonance and atrial fibrillation rotors. Heart Rhythm, 13(3):654-660. [13]CochetH, DuboisR, YamashitaS, et al., 2018. Relationship between fibrosis detected on late gadolinium-enhanced cardiac magnetic resonance and re-entrant activity assessed with electrocardiographic imaging in human persistent atrial fibrillation. JACC Clin Electrophysiol, 4(1):17-29. [14]ContiS, WeerasooriyaR, NovakP, et al., 2018. Contact force sensing for ablation of persistent atrial fibrillation: a randomized, multicenter trial. Heart Rhythm, 15(2):201-208. [15]CourtemancheM, RamirezRJ, NattelS, 1998. Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. Am J Physiol, 275(1):H301-H321. [16]CoxJL, SchuesslerRB, D'AgostinoHJJr, et al., 1991. The surgical treatment of atrial fibrillation. III. Development of a definitive surgical procedure. J Thorac Cardiovasc Surg, 101(4):569-583. [17]DangL, ViragN, IharaZ, et al., 2005. Evaluation of ablation patterns using a biophysical model of atrial fibrillation. Ann Biomed Eng, 33(4):465-474. [18]DengDD, JiaoPF, YeXS, et al., 2012. An image-based model of the whole human heart with detailed anatomical structure and fiber orientation. Comput Math Methods Med, 2012:891070. [19]DengDD, MurphyMJ, HakimJB, et al., 2017. Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate. Chaos, 27(9):093932. [20]DewireJ, CalkinsH, 2013. Update on atrial fibrillation catheter ablation technologies and techniques. Nat Rev Cardiol, 10(10):599-612. [21]FochlerF, YamaguchiT, KheirkahanM, et al., 2019. Late gadolinium enhancement magnetic resonance imaging guided treatment of post-atrial fibrillation ablation recurrent arrhythmia. Circ Arrhythm Electrophysiol, 12(8):e007174. [22]GanesanAN, KuklikP, LauDH, et al., 2013. Bipolar electrogram Shannon entropy at sites of rotational activation: implications for ablation of atrial fibrillation. Circ Arrhythm Electrophysiol, 6(1):48-57. [23]GharaviriA, PezzutoS, PotseM, et al., 2021. Left atrial appendage electrical isolation reduces atrial fibrillation recurrences: a simulation study. Circ Arrhythm Electrophysiol, 14(1):e009230. [24]Giffard-RoisinS, JacksonT, FovargueL, et al., 2017. Noninvasive personalization of a cardiac electrophysiology model from body surface potential mapping. IEEE Trans Bio-Med Eng, 64(9):2206-2218. [25]GongYF, XieFG, SteinKM, et al., 2007. Mechanism underlying initiation of paroxysmal atrial flutter/atrial fibrillation by ectopic foci: a simulation study. Circulation, 115(16):2094-2102. [26]GongYL, GaoY, LuZH, et al., 2015. Preliminary simulation study of atrial fibrillation treatment procedure based on a detailed human atrial model. J Clin Trial Cardiol, 2(4):1-9. [27]HaACT, WijeysunderaHC, BirnieDH, et al., 2017. Real-world outcomes, complications, and cost of catheter-based ablation for atrial fibrillation: an update. Curr Opin Cardiol, 32(1):47-52. [28]HaïssaguerreM, JaïsP, ShahDC, et al., 1998. Spontaneous initiation of atrial fibrillation by ectopic beats originating in the pulmonary veins. N Engl J Med, 339(10):659-666. [29]HaissaguerreM, ShahAJ, CochetH, et al., 2016. Intermittent drivers anchoring to structural heterogeneities as a major pathophysiological mechanism of human persistent atrial fibrillation. J Physiol, 594(9):2387-2398. [30]HakalahtiA, BiancariF, NielsenJC, et al., 2015. Radiofrequency ablation vs. antiarrhythmic drug therapy as first line treatment of symptomatic atrial fibrillation: systematic review and meta-analysis. Europace, 17(3):370-378. [31]HakimJB, MurphyMJ, TrayanovaNA, et al., 2018. Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers. Europace, 20(S3):iii45-iii54. [32]HeijmanJ, AlgalarrondoV, VoigtN, et al., 2016. The value of basic research insights into atrial fibrillation mechanisms as a guide to therapeutic innovation: a critical analysis. Cardiovasc Res, 109(4):467-479. [33]HoSY, Sánchez-QuintanaD, 2009. The importance of atrial structure and fibers. Clin Anat, 22(1):52-63. [34]HwangM, KwonSS, WiJ, et al., 2014. Virtual ablation for atrial fibrillation in personalized in-silico three-dimensional left atrial modeling: comparison with clinical catheter ablation. Prog Biophys Mol Biol, 116(1):40-47. [35]HwangM, SongJS, LeeYS, et al., 2016. Electrophysiological rotor ablation in in-silico modeling of atrial fibrillation: comparisons with dominant frequency, Shannon entropy, and phase singularity. PLoS ONE, 11(2):e0149695. [36]KaboudianA, CherryEM, FentonFH, 2019. Real-time interactive simulations of large-scale systems on personal computers and cell phones: toward patient-specific heart modeling and other applications. Sci Adv, 5(3):eaav6019. [37]KimIS, LimB, ShimJ, et al., 2019. Clinical usefulness of computational modeling-guided persistent atrial fibrillation ablation: updated outcome of multicenter randomized study. Front Physiol, 10:1512. [38]KimTH, UhmJS, KimJY, et al., 2017. Does additional electrogram-guided ablation after linear ablation reduce recurrence after catheter ablation for longstanding persistent atrial fibrillation? A prospective randomized study. J Am Heart Assoc, 6(2):e004811. [39]LatchamsettyR, MoradyF, 2018. Atrial fibrillation ablation. Annu Rev Med, 69:53-63. [40]LiY, WuYF, ChenKP, et al., 2013. Prevalence of atrial fibrillation in China and its risk factors. Biomed Environ Sci, 26(9):709-716. [41]LimB, HwangM, SongJS, et al., 2017. Effectiveness of atrial fibrillation rotor ablation is dependent on conduction velocity: an in-silico 3-dimensional modeling study. PLoS ONE, 12(12):e0190398. [42]LimB, ParkJW, HwangM, et al., 2020a. Electrophysiological significance of the interatrial conduction including cavo-tricuspid isthmus during atrial fibrillation. J Physiol, 598(17):3597-3612. [43]LimB, KimJ, HwangM, et al., 2020b. In situ procedure for high-efficiency computational modeling of atrial fibrillation reflecting personal anatomy, fiber orientation, fibrosis, and electrophysiology. Sci Rep, 10:2417. [44]LuoCH, RudyY, 1991. A model of the ventricular cardiac action potential. Depolarization, repolarization, and their interaction. Circ Res, 68(6):1501-1526. [45]MărgulescuAD, Nuñez-GarciaM, AlarcónF, et al., 2019. Reproducibility and accuracy of late gadolinium enhancement cardiac magnetic resonance measurements for the detection of left atrial fibrosis in patients undergoing atrial fibrillation ablation procedures. Europace, 21(5):724-731. [46]McDowellKS, ZahidS, VadakkumpadanF, et al., 2015. Virtual electrophysiological study of atrial fibrillation in fibrotic remodeling. PLoS ONE, 10(2):e0117110. [47]MillerCAS, MaronMS, EstesNAM III, et al., 2019. Safety, side effects and relative efficacy of medications for rhythm control of atrial fibrillation in hypertrophic cardiomyopathy. Am J Cardiol, 123(11):1859-1862. [48]MorganR, ColmanMA, ChubbH, et al., 2016. Slow conduction in the border zones of patchy fibrosis stabilizes the drivers for atrial fibrillation: insights from multi-scale human atrial modeling. Front Physiol, 7:474. [49]NademaneeK, McKenzieJ, KosarE, et al., 2004. A new approach for catheter ablation of atrial fibrillation: mapping of the electrophysiologic substrate. J Am Coll Cardiol, 43(11):2044-2053. [50]NarayanSM, KrummenDE, ShivkumarK, et al., 2012. Treatment of atrial fibrillation by the ablation of localized sources: CONFIRM (Conventional Ablation for Atrial Fibrillation With or Without Focal Impulse and Rotor Modulation) trial. J Am Coll Cardiol, 60(7):628-636. [51]NattelS, HaradaM, 2014. Atrial remodeling and atrial fibrillation: recent advances and translational perspectives. J Am Coll Cardiol, 63(22):2335-2345. [52]NattelS, HeijmanJ, ZhouLP, et al., 2020. Molecular basis of atrial fibrillation pathophysiology and therapy: a translational perspective. Circ Res, 127(1):51-72. [53]NguyenTP, QuZL, WeissJN, 2014. Cardiac fibrosis and arrhythmogenesis: the road to repair is paved with perils. J Mol Cell Cardiol, 70:83-91. [54]NishidaK, NattelS, 2014. Atrial fibrillation compendium: historical context and detailed translational perspective on an important clinical problem. Circ Res, 114(9):1447-1452. [55]PallisgaardJL, GislasonGH, HansenJ, et al., 2018. Temporal trends in atrial fibrillation recurrence rates after ablation between 2005 and 2014: a nationwide Danish cohort study. Eur Heart J, 39(6):442-449. [56]PashakhanlooF, HerzkaDA, AshikagaH, et al., 2016. Myofiber architecture of the human atria as revealed by submillimeter diffusion tensor imaging. Circ Arrhythm Electrophysiol, 9(4):e004133. [57]PatelNJ, AttiV, MitraniRD, et al., 2018. Global rising trends of atrial fibrillation: a major public health concern. Heart, 104(24):1989-1990. [58]PedrottyDM, KlingerRY, KirktonRD, et al., 2009. Cardiac fibroblast paracrine factors alter impulse conduction and ion channel expression of neonatal rat cardiomyocytes. Cardiovasc Res, 83(4):688-697. [59]PontecorboliG, Figueras i VenturaRM, CarlosenaA, et al., 2017. Use of delayed-enhancement magnetic resonance imaging for fibrosis detection in the atria: a review. Europace, 19(2):180-189. [60]RahmanF, KwanGF, BenjaminEJ, 2014. Global epidemiology of atrial fibrillation. Nat Rev Cardiol, 11(11):639-654. [61]ReumannM, BohnertJ, OsswaldB, et al., 2007. Multiple wavelets, rotors, and snakes in atrial fibrillation—a computer simulation study. J Electrocardiol, 40(4):328-334. [62]ReumannM, BohnertJ, SeemannG, et al., 2008. Preventive ablation strategies in a biophysical model of atrial fibrillation based on realistic anatomical data. IEEE Trans Biomed Eng, 55(2):399-406. [63]RolfS, KircherS, AryaA, et al., 2014. Tailored atrial substrate modification based on low-voltage areas in catheter ablation of atrial fibrillation. Circ Arrhythm Electrophysiol, 7(5):825-833. [64]RoneyCH, WilliamsSE, CochetH, et al., 2018. Patient-specific simulations predict efficacy of ablation of interatrial connections for treatment of persistent atrial fibrillation. Europace, 20(S3):iii55-iii68. [65]RoneyCH, BeachML, MehtaAM, et al., 2020. In silico comparison of left atrial ablation techniques that target the anatomical, structural, and electrical substrates of atrial fibrillation. Front Physiol, 11:1145. [66]RoneyCH, BendikasR, PashakhanlooF, et al., 2021. Constructing a human atrial fibre atlas. Ann Biomed Eng, 49(1):233-250. [67]RotterM, DangL, JacquemetV, et al., 2007. Impact of varying ablation patterns in a simulation model of persistent atrial fibrillation. Pace-Pacing Clin Electrophysiol, 30(3):314-321. [68]RoyA, VarelaM, ChubbH, et al., 2020. Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium. PLoS Comput Biol, 16(9):e1008086. [69]RuchatP, ViragN, DangL, et al., 2007a. A biophysical model of atrial fibrillation ablation: what can a surgeon learn from a computer model? Europace, 9(S6):vi71-vi76. [70]RuchatP, DangL, ViragN, et al., 2007b. A biophysical model of atrial fibrillation to define the appropriate ablation pattern in modified maze. Eur J Cardio-Thorac Surg, 31(1):65-69. [71]RuchatP, DangL, SchlaepferJ, et al., 2007c. Use of a biophysical model of atrial fibrillation in the interpretation of the outcome of surgical ablation procedures. Eur J Cardio-Thorac Surg, 32(1):90-95. [72]SahaM, RoneyCH, BayerJD, et al., 2018. Wavelength and fibrosis affect phase singularity locations during atrial fibrillation. Front Physiol, 9:1207. [73]SandersP, BerenfeldO, HociniM, et al., 2005. Spectral analysis identifies sites of high-frequency activity maintaining atrial fibrillation in humans. Circulation, 112(6):789-797. [74]SchadeA, NentwichK, Costello-BoerrigterLC, et al., 2016. Spatial relationship of focal impulses, rotors and low voltage zones in patients with persistent atrial fibrillation. J Cardiovasc Electrophysiol, 27(5):507-514. [75]SeemannG, HöperC, SachseFB, et al., 2006. Heterogeneous three-dimensional anatomical and electrophysiological model of human atria. Philos Trans Roy Soc A-Math Phys Eng Sci, 364(1843):1465-1481. [76]SeitzJ, HorvilleurJ, LacotteJ, et al., 2011. Correlation between AF substrate ablation difficulty and left atrial fibrosis quantified by delayed-enhancement cardiac magnetic resonance. Pacing Clin Electrophysiol, 34(10):1267-1277. [77]SeitzJ, BarsC, ThéodoreG, et al., 2017. AF ablation guided by spatiotemporal electrogram dispersion without pulmonary vein isolation: a wholly patient-tailored approach. J Am Coll Cardiol, 69(3):303-321. [78]ShadeJK, AliRL, BasileD, et al., 2020. Preprocedure application of machine learning and mechanistic simulations predicts likelihood of paroxysmal atrial fibrillation recurrence following pulmonary vein isolation. Circ Arrhythm Electrophysiol, 13(7):e008213. [79]ShimJ, HwangM, SongJS, et al., 2017. Virtual in-silico modeling guided catheter ablation predicts effective linear ablation lesion set for longstanding persistent atrial fibrillation: multicenter prospective randomized study. Front Physiol, 8:792. [80]SimI, RazeghiO, KarimR, et al., 2019. Reproducibility of atrial fibrosis assessment using CMR imaging and an open source platform. JACC Cardiovasc Imaging, 12(10):2076-2077. [81]SławutaA, JacekP, MazurG, et al., 2020. Quality of life and frailty syndrome in patients with atrial fibrillation. Clin Interv Aging, 15:783-795. [82]SohnsC, LemesC, MetznerA, et al., 2017. First-in-man analysis of the relationship between electrical rotors from noninvasive panoramic mapping and atrial fibrosis from magnetic resonance imaging in patients with persistent atrial fibrillation. Circ Arrhythm Electrophysiol, 10(8):e004419. [83]SteinbeckG, SinnerMF, LutzM, et al., 2018. Incidence of complications related to catheter ablation of atrial fibrillation and atrial flutter: a nationwide in-hospital analysis of administrative data for Germany in 2014. Eur Heart J, 39(45):4020-4029. [84]TakahashiY, O'NeillMD, HociniM, et al., 2008. Characterization of electrograms associated with termination of chronic atrial fibrillation by catheter ablation. J Am Coll Cardiol, 51(10):1003-1010. [85]TrayanovaNA, PopescuDM, ShadeJK, 2021. Machine learning in arrhythmia and electrophysiology. Circ Res, 128(4):544-566. [86]VandersickelN, van NieuwenhuyseE, van CleemputN, et al., 2019. Directed networks as a novel way to describe and analyze cardiac excitation: directed graph mapping. Front Physiol, 10:1138. [87]VermaA, JiangCY, BettsTR, et al., 2015. Approaches to catheter ablation for persistent atrial fibrillation. N Engl J Med, 372(19):1812-1822. [88]ViragN, JacquemetV, HenriquezCS, et al., 2002. Study of atrial arrhythmias in a computer model based on magnetic resonance images of human atria. Chaos, 12(3):754-763. [89]WeimarT, SchenaS, BaileyMS, et al., 2012. The Cox-Maze procedure for lone atrial fibrillation: a single-center experience over 2 decades. Circ Arrhythm Electrophysiol, 5(1):8-14. [90]WoodsCE, OlginJ, 2014. Atrial fibrillation therapy now and in the future: drugs, biologicals, and ablation. Circ Res, 114(9):1532-1546. [91]ZahidS, WhyteKN, SchwarzEL, et al., 2016. Feasibility of using patient-specific models and the "minimum cut" algorithm to predict optimal ablation targets for left atrial flutter. Heart Rhythm, 13(8):1687-1698. [92]ZhaoJC, HansenBJ, WangYF, et al., 2017. Three-dimensional integrated functional, structural, and computational mapping to define the structural "fingerprints" of heart-specific atrial fibrillation drivers in human heart ex vivo. J Am Heart Assoc, 6(8):e005922. Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE |
Open peer comments: Debate/Discuss/Question/Opinion
<1>