Aims: Electroanatomical voltage mapping (EAVM) is an important diagnostic tool for fibrosis identification and risk stratification in non-ischaemic cardiomyopathy (NICM); currently, distinct cut-offs are applied. We aimed to evaluate the performance of EAVM to detect fibrosis by integration with whole heart histology and to identify the fibrosis pattern in NICM patients with ventricular tachycardias (VTs). Methods and results: Eight patients with NICM and VT underwent EAVM prior to death or heart transplantation. EAVM data was projected onto slices of the entire heart. Pattern, architecture, and amount of fibrosis were assessed in transmural biopsies corresponding to EAVM sites. Fibrosis pattern in NICM biopsies (n = 507) was highly variable and not limited to mid-wall/sub-epicardium. Fibrosis architecture was rarely compact, but typically patchy and/or diffuse. In NICM, biopsies without abnormal fibrosis unipolar voltage (UV) and bipolar voltage (BV) showed a linear association with wall thickness (WT). The amount of viable myocardium showed a linear association with both UV and BV. Accordingly, any cut-off to delineate fibrosis performed poorly. An equation was generated calculating the amount of fibrosis at any location, given WT and UV or BV. Conclusion: Considering the linear relationships between WT, amount of fibrosis and both UV and BV, the search for any distinct voltage cut-off to identify fibrosis in NICM is futile. The amount of fibrosis can be calculated, if WT and voltages are known. Fibrosis pattern and architecture are different from ischaemic cardiomyopathy and findings on ischaemic substrates may not be applicable to NICM.
Aims: Electroanatomical voltage mapping (EAVM) is an important diagnostic tool for fibrosis identification and risk stratification in non-ischaemic cardiomyopathy (NICM); currently, distinct cut-offs are applied. We aimed to evaluate the performance of EAVM to detect fibrosis by integration with whole heart histology and to identify the fibrosis pattern in NICM patients with ventricular tachycardias (VTs). Methods and results: Eight patients with NICM and VT underwent EAVM prior to death or heart transplantation. EAVM data was projected onto slices of the entire heart. Pattern, architecture, and amount of fibrosis were assessed in transmural biopsies corresponding to EAVM sites. Fibrosis pattern in NICM biopsies (n = 507) was highly variable and not limited to mid-wall/sub-epicardium. Fibrosis architecture was rarely compact, but typically patchy and/or diffuse. In NICM, biopsies without abnormal fibrosis unipolar voltage (UV) and bipolar voltage (BV) showed a linear association with wall thickness (WT). The amount of viable myocardium showed a linear association with both UV and BV. Accordingly, any cut-off to delineate fibrosis performed poorly. An equation was generated calculating the amount of fibrosis at any location, given WT and UV or BV. Conclusion: Considering the linear relationships between WT, amount of fibrosis and both UV and BV, the search for any distinct voltage cut-off to identify fibrosis in NICM is futile. The amount of fibrosis can be calculated, if WT and voltages are known. Fibrosis pattern and architecture are different from ischaemic cardiomyopathy and findings on ischaemic substrates may not be applicable to NICM.
Authors: Edmond M Cronin; Frank M Bogun; Philippe Maury; Petr Peichl; Minglong Chen; Narayanan Namboodiri; Luis Aguinaga; Luiz Roberto Leite; Sana M Al-Khatib; Elad Anter; Antonio Berruezo; David J Callans; Mina K Chung; Phillip Cuculich; Andre d'Avila; Barbara J Deal; Paolo Della Bella; Thomas Deneke; Timm-Michael Dickfeld; Claudio Hadid; Haris M Haqqani; G Neal Kay; Rakesh Latchamsetty; Francis Marchlinski; John M Miller; Akihiko Nogami; Akash R Patel; Rajeev Kumar Pathak; Luis C Saenz Morales; Pasquale Santangeli; John L Sapp; Andrea Sarkozy; Kyoko Soejima; William G Stevenson; Usha B Tedrow; Wendy S Tzou; Niraj Varma; Katja Zeppenfeld Journal: J Interv Card Electrophysiol Date: 2020-10 Impact factor: 1.900
Authors: Edmond M Cronin; Frank M Bogun; Philippe Maury; Petr Peichl; Minglong Chen; Narayanan Namboodiri; Luis Aguinaga; Luiz Roberto Leite; Sana M Al-Khatib; Elad Anter; Antonio Berruezo; David J Callans; Mina K Chung; Phillip Cuculich; Andre d'Avila; Barbara J Deal; Paolo Della Bella; Thomas Deneke; Timm-Michael Dickfeld; Claudio Hadid; Haris M Haqqani; G Neal Kay; Rakesh Latchamsetty; Francis Marchlinski; John M Miller; Akihiko Nogami; Akash R Patel; Rajeev Kumar Pathak; Luis C Sáenz Morales; Pasquale Santangeli; John L Sapp; Andrea Sarkozy; Kyoko Soejima; William G Stevenson; Usha B Tedrow; Wendy S Tzou; Niraj Varma; Katja Zeppenfeld Journal: Europace Date: 2019-08-01 Impact factor: 5.214
Authors: J Lukas Laws; Megan C Lancaster; M Ben Shoemaker; William G Stevenson; Rebecca R Hung; Quinn Wells; D Marshall Brinkley; Sean Hughes; Katherine Anderson; Dan Roden; Lynne W Stevenson Journal: Circ Res Date: 2022-05-26 Impact factor: 23.213
Authors: David E Krummen; Gordon Ho; Kurt S Hoffmayer; Franz N Schweis; Tina Baykaner; A J Rogers; Frederick T Han; Jonathan C Hsu; Mohan N Viswanathan; Paul J Wang; Wouter-Jan Rappel; Sanjiv M Narayan Journal: Circ Arrhythm Electrophysiol Date: 2021-02-07
Authors: Gabriel Balaban; Brian P Halliday; Caroline Mendonca Costa; Wenjia Bai; Bradley Porter; Christopher A Rinaldi; Gernot Plank; Daniel Rueckert; Sanjay K Prasad; Martin J Bishop Journal: Front Physiol Date: 2018-12-19 Impact factor: 4.566
Authors: Jerzy Pacholewicz; Michał Zakliczyński; Jerzy Nożyński; Paweł Nadziakiewicz; Michał Zembala; Marian Zembala Journal: Kardiochir Torakochirurgia Pol Date: 2019-06-28
Authors: Gabriel Balaban; Caroline Mendonca Costa; Bradley Porter; Brian Halliday; Christopher A Rinaldi; Sanjay Prasad; Gernot Plank; Tevfik F Ismail; Martin J Bishop Journal: IEEE Trans Biomed Eng Date: 2020-04-03 Impact factor: 4.538
Authors: Philip M Gemmell; Karli Gillette; Gabriel Balaban; Ronak Rajani; Edward J Vigmond; Gernot Plank; Martin J Bishop Journal: Comput Biol Med Date: 2020-07-04 Impact factor: 4.589
Authors: Gabriel Balaban; Brian P Halliday; Wenjia Bai; Bradley Porter; Carlotta Malvuccio; Pablo Lamata; Christopher A Rinaldi; Gernot Plank; Daniel Rueckert; Sanjay K Prasad; Martin J Bishop Journal: PLoS Comput Biol Date: 2019-10-28 Impact factor: 4.475