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Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort

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Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. / Balaban, Gabriel; Halliday, Brian P.; Bai, Wenjia; Porter, Bradley; Malvuccio, Carlotta; Lamata, Pablo; Rinaldi, Christopher A.; Plank, Gernot; Rueckert, Daniel; Prasad, Sanjay K.; Bishop, Martin J.

In: PLoS Computational Biology, Vol. 15, No. 10, e1007421, 28.10.2019.

Research output: Contribution to journalArticle

Harvard

Balaban, G, Halliday, BP, Bai, W, Porter, B, Malvuccio, C, Lamata, P, Rinaldi, CA, Plank, G, Rueckert, D, Prasad, SK & Bishop, MJ 2019, 'Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort', PLoS Computational Biology, vol. 15, no. 10, e1007421. https://doi.org/10.1371/journal.pcbi.1007421

APA

Balaban, G., Halliday, B. P., Bai, W., Porter, B., Malvuccio, C., Lamata, P., Rinaldi, C. A., Plank, G., Rueckert, D., Prasad, S. K., & Bishop, M. J. (2019). Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. PLoS Computational Biology, 15(10), [e1007421]. https://doi.org/10.1371/journal.pcbi.1007421

Vancouver

Balaban G, Halliday BP, Bai W, Porter B, Malvuccio C, Lamata P et al. Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. PLoS Computational Biology. 2019 Oct 28;15(10). e1007421. https://doi.org/10.1371/journal.pcbi.1007421

Author

Balaban, Gabriel ; Halliday, Brian P. ; Bai, Wenjia ; Porter, Bradley ; Malvuccio, Carlotta ; Lamata, Pablo ; Rinaldi, Christopher A. ; Plank, Gernot ; Rueckert, Daniel ; Prasad, Sanjay K. ; Bishop, Martin J. / Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. In: PLoS Computational Biology. 2019 ; Vol. 15, No. 10.

Bibtex Download

@article{c5ce8fe7c26543e7ab9a09d41ccdf8cb,
title = "Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort",
abstract = "This paper presents a morphological analysis of fibrotic scarring in non-ischemic dilated cardiomyopathy, and its relationship to electrical instabilities which underlie reentrant arrhythmias. Two dimensional electrophysiological simulation models were constructed from a set of 699 late gadolinium enhanced cardiac magnetic resonance images originating from 157 patients. Areas of late gadolinium enhancement (LGE) in each image were assigned one of 10 possible microstructures, which modelled the details of fibrotic scarring an order of magnitude below the MRI scan resolution. A simulated programmed electrical stimulation protocol tested each model for the possibility of generating either a transmural block or a transmural reentry. The outcomes of the simulations were compared against morphological LGE features extracted from the images. Models which blocked or reentered, grouped by microstructure, were significantly different from one another in myocardial-LGE interface length, number of components and entropy, but not in relative area and transmurality. With an unknown microstructure, transmurality alone was the best predictor of block, whereas a combination of interface length, transmurality and number of components was the best predictor of reentry in linear discriminant analysis.",
author = "Gabriel Balaban and Halliday, {Brian P.} and Wenjia Bai and Bradley Porter and Carlotta Malvuccio and Pablo Lamata and Rinaldi, {Christopher A.} and Gernot Plank and Daniel Rueckert and Prasad, {Sanjay K.} and Bishop, {Martin J.}",
year = "2019",
month = oct,
day = "28",
doi = "10.1371/journal.pcbi.1007421",
language = "English",
volume = "15",
journal = "PL o S Computational Biology",
issn = "1553-734X",
number = "10",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort

AU - Balaban, Gabriel

AU - Halliday, Brian P.

AU - Bai, Wenjia

AU - Porter, Bradley

AU - Malvuccio, Carlotta

AU - Lamata, Pablo

AU - Rinaldi, Christopher A.

AU - Plank, Gernot

AU - Rueckert, Daniel

AU - Prasad, Sanjay K.

AU - Bishop, Martin J.

PY - 2019/10/28

Y1 - 2019/10/28

N2 - This paper presents a morphological analysis of fibrotic scarring in non-ischemic dilated cardiomyopathy, and its relationship to electrical instabilities which underlie reentrant arrhythmias. Two dimensional electrophysiological simulation models were constructed from a set of 699 late gadolinium enhanced cardiac magnetic resonance images originating from 157 patients. Areas of late gadolinium enhancement (LGE) in each image were assigned one of 10 possible microstructures, which modelled the details of fibrotic scarring an order of magnitude below the MRI scan resolution. A simulated programmed electrical stimulation protocol tested each model for the possibility of generating either a transmural block or a transmural reentry. The outcomes of the simulations were compared against morphological LGE features extracted from the images. Models which blocked or reentered, grouped by microstructure, were significantly different from one another in myocardial-LGE interface length, number of components and entropy, but not in relative area and transmurality. With an unknown microstructure, transmurality alone was the best predictor of block, whereas a combination of interface length, transmurality and number of components was the best predictor of reentry in linear discriminant analysis.

AB - This paper presents a morphological analysis of fibrotic scarring in non-ischemic dilated cardiomyopathy, and its relationship to electrical instabilities which underlie reentrant arrhythmias. Two dimensional electrophysiological simulation models were constructed from a set of 699 late gadolinium enhanced cardiac magnetic resonance images originating from 157 patients. Areas of late gadolinium enhancement (LGE) in each image were assigned one of 10 possible microstructures, which modelled the details of fibrotic scarring an order of magnitude below the MRI scan resolution. A simulated programmed electrical stimulation protocol tested each model for the possibility of generating either a transmural block or a transmural reentry. The outcomes of the simulations were compared against morphological LGE features extracted from the images. Models which blocked or reentered, grouped by microstructure, were significantly different from one another in myocardial-LGE interface length, number of components and entropy, but not in relative area and transmurality. With an unknown microstructure, transmurality alone was the best predictor of block, whereas a combination of interface length, transmurality and number of components was the best predictor of reentry in linear discriminant analysis.

U2 - 10.1371/journal.pcbi.1007421

DO - 10.1371/journal.pcbi.1007421

M3 - Article

C2 - 31658247

AN - SCOPUS:85074673763

VL - 15

JO - PL o S Computational Biology

JF - PL o S Computational Biology

SN - 1553-734X

IS - 10

M1 - e1007421

ER -

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