Boyle Patrick M, Hakim Joe B, Zahid Sohail, Franceschi William H, Murphy Michael J, Prakosa Adityo, Aronis Konstantinos N, Zghaib Tarek, Balouch Muhammed, Ipek Esra G, Chrispin Jonathan, Berger Ronald D, Ashikaga Hiroshi, Marine Joseph E, Calkins Hugh, Nazarian Saman, Spragg David D, Trayanova Natalia A
Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.
Department of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
Front Physiol. 2018 Aug 29;9:1151. doi: 10.3389/fphys.2018.01151. eCollection 2018.
Focal impulse and rotor mapping (FIRM) involves intracardiac detection and catheter ablation of re-entrant drivers (RDs), some of which may contribute to arrhythmia perpetuation in persistent atrial fibrillation (PsAF). Patient-specific computational models derived from late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) has the potential to non-invasively identify all areas of the fibrotic substrate where RDs could potentially be sustained, including locations where RDs may not manifest during mapped AF episodes. The objective of this study was to carry out multi-modal assessment of the arrhythmogenic propensity of the fibrotic substrate in PsAF patients by comparing locations of RD-harboring regions found in simulations and detected by FIRM (RD and RD) and analyze implications for ablation strategies predicated on targeting RDs. For 11 PsAF patients who underwent pre-procedure LGE-MRI and FIRM-guided ablation, we retrospectively simulated AF in individualized atrial models, with geometry and fibrosis distribution reconstructed from pre-ablation LGE-MRI scans, and identified RD sites. Regions harboring RD and RD were compared. RD were found in 38 atrial regions (median [inter-quartile range (IQR)] = 4 [3; 4] per model). RD were identified and subsequently ablated in 24 atrial regions (2 [1; 3] per patient), which was significantly fewer than the number of RD-harboring regions in corresponding models ( < 0.05). Computational modeling predicted RD in 20 of 24 (83%) atrial regions identified as RD-harboring during clinical mapping. In a large number of cases, we uncovered RD-harboring regions in which RD were never observed (18/22 regions that differed between the two modalities; 82%); we termed such cases "latent" RD sites. During follow-up (230 [180; 326] days), AF recurrence occurred in 7/11 (64%) individuals. Interestingly, latent RD sites were observed in all seven computational models corresponding to patients who experienced recurrent AF (2 [2; 2] per patient); in contrast, latent RD sites were only discovered in two of four patients who were free from AF during follow-up (0.5 [0; 1.5] per patient; < 0.05 vs. patients with AF recurrence). We conclude that substrate-based ablation based on computational modeling could improve outcomes.
局灶性冲动与转子标测(FIRM)涉及心内检测和对折返驱动子(RDs)进行导管消融,其中一些可能导致持续性心房颤动(PsAF)中的心律失常持续存在。源自延迟钆增强磁共振成像(LGE-MRI)的患者特异性计算模型有潜力非侵入性地识别纤维化基质中RDs可能持续存在的所有区域,包括在标测房颤发作期间RDs可能未表现出来的位置。本研究的目的是通过比较模拟中发现并经FIRM检测到的含RD区域(RD和RD)的位置,对PsAF患者纤维化基质的致心律失常倾向进行多模态评估,并分析针对RDs的消融策略的意义。对于11例接受术前LGE-MRI和FIRM引导消融的PsAF患者,我们在个体化心房模型中回顾性模拟房颤,根据消融前LGE-MRI扫描重建几何形状和纤维化分布,并识别RD部位。比较含RD和RD的区域。在38个心房区域发现了RD(每个模型中位数[四分位间距(IQR)]=4[3;4])。在24个心房区域识别并随后消融了RD(每位患者2[1;3]个),这明显少于相应模型中含RD区域的数量(<0.05)。计算建模在临床标测期间确定为含RD的24个心房区域中的20个(83%)预测到了RD。在大量病例中,我们发现了从未观察到RD的含RD区域(两种模式之间不同的18/22个区域;82%);我们将此类病例称为“潜在”RD部位。在随访期间(230[180;326]天),7/11(64%)的个体发生房颤复发。有趣的是,在与经历房颤复发的患者对应的所有七个计算模型中都观察到了潜在RD部位(每位患者2[2;2]个);相比之下,在随访期间无房颤的四名患者中只有两名发现了潜在RD部位(每位患者0.5[0;1.5]个;与房颤复发患者相比<0.05)。我们得出结论,基于计算建模的基质消融可能改善治疗结果。