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Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease

AIM: This study investigated a patient-specific approach of using cardiac magnetic resonance (CMR) feature tracking for scar detection in a heterogenous patient group with chronic ischemic and non-ischemic heart disease. METHODS: CMR exams of 89 patients with concomitant chronic ischemic and non-isc...

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Autores principales: Polacin, Malgorzata, Hünermund, Tobias, Müggler, Oliver, Alkadhi, Hatem, Kozerke, Sebastian, Manka, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937585/
https://www.ncbi.nlm.nih.gov/pubmed/36817320
http://dx.doi.org/10.26502/fccm.92920297
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author Polacin, Malgorzata
Hünermund, Tobias
Müggler, Oliver
Alkadhi, Hatem
Kozerke, Sebastian
Manka, Robert
author_facet Polacin, Malgorzata
Hünermund, Tobias
Müggler, Oliver
Alkadhi, Hatem
Kozerke, Sebastian
Manka, Robert
author_sort Polacin, Malgorzata
collection PubMed
description AIM: This study investigated a patient-specific approach of using cardiac magnetic resonance (CMR) feature tracking for scar detection in a heterogenous patient group with chronic ischemic and non-ischemic heart disease. METHODS: CMR exams of 89 patients with concomitant chronic ischemic and non-ischemic heart disease (IHD+) as well as 65 patients with ischemic scars only (IHD) were retrospectively evaluated. In all patients, global (GCS) and segmental circumferential strain (SCS) was derived from native cine images using a dedicated software (Segment CMR, Medviso). After calculation of patient-specific median GCS (GCS(median)), segmental values from GCS(median) percentage plots were correlated with corresponding myocardial segments in late gadolinium enhancement (LGE). RESULTS: Overall GCS ranged between −3.5% to −19.8% and average GCS was lower in IHD+ than in IHD (p <0.05). In IHD, 19% of all myocardial segments were infarcted, in IHD+ 16.6%. Additionally, non-ischemic LGE was present in 6.7% of segments in IHD+. Correlation of GCS(median) percentage plots with corresponding LGE showed that presence of ischemic scar tissue in a myocardial segment was very likely below a cut-off of 39.5% GCS(median) (87.5% sensitivity, 86.3% specificity, AUC 0.907, 95% CI 0.875-0.938, p < 0.05). CONCLUSION: In patient-specific GCS(median) percentage plots calculated from native cine images, ischemic scar tissue can be suspected in myocardial segments below the threshold of 40% GCS(median) (sensitivity 88%, specificity 86%), even in a heterogenous patient cohort with ischemic and non-ischemic heart disease.
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spelling pubmed-99375852023-02-17 Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease Polacin, Malgorzata Hünermund, Tobias Müggler, Oliver Alkadhi, Hatem Kozerke, Sebastian Manka, Robert Cardiol Cardiovasc Med Article AIM: This study investigated a patient-specific approach of using cardiac magnetic resonance (CMR) feature tracking for scar detection in a heterogenous patient group with chronic ischemic and non-ischemic heart disease. METHODS: CMR exams of 89 patients with concomitant chronic ischemic and non-ischemic heart disease (IHD+) as well as 65 patients with ischemic scars only (IHD) were retrospectively evaluated. In all patients, global (GCS) and segmental circumferential strain (SCS) was derived from native cine images using a dedicated software (Segment CMR, Medviso). After calculation of patient-specific median GCS (GCS(median)), segmental values from GCS(median) percentage plots were correlated with corresponding myocardial segments in late gadolinium enhancement (LGE). RESULTS: Overall GCS ranged between −3.5% to −19.8% and average GCS was lower in IHD+ than in IHD (p <0.05). In IHD, 19% of all myocardial segments were infarcted, in IHD+ 16.6%. Additionally, non-ischemic LGE was present in 6.7% of segments in IHD+. Correlation of GCS(median) percentage plots with corresponding LGE showed that presence of ischemic scar tissue in a myocardial segment was very likely below a cut-off of 39.5% GCS(median) (87.5% sensitivity, 86.3% specificity, AUC 0.907, 95% CI 0.875-0.938, p < 0.05). CONCLUSION: In patient-specific GCS(median) percentage plots calculated from native cine images, ischemic scar tissue can be suspected in myocardial segments below the threshold of 40% GCS(median) (sensitivity 88%, specificity 86%), even in a heterogenous patient cohort with ischemic and non-ischemic heart disease. 2022 2022-12-23 /pmc/articles/PMC9937585/ /pubmed/36817320 http://dx.doi.org/10.26502/fccm.92920297 Text en https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license 4.0
spellingShingle Article
Polacin, Malgorzata
Hünermund, Tobias
Müggler, Oliver
Alkadhi, Hatem
Kozerke, Sebastian
Manka, Robert
Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease
title Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease
title_full Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease
title_fullStr Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease
title_full_unstemmed Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease
title_short Patient-Specific Cardiac Magnetic Resonance Feature Tracking Approach for Scar Detection in Concomitant Ischemic and Non-Ischemic Heart Disease
title_sort patient-specific cardiac magnetic resonance feature tracking approach for scar detection in concomitant ischemic and non-ischemic heart disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937585/
https://www.ncbi.nlm.nih.gov/pubmed/36817320
http://dx.doi.org/10.26502/fccm.92920297
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