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Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis

In this study, we used a single commercially available software solution to assess global longitudinal (GLS) and global circumferential strain (GCS) using cardiac computed tomography (CT) and cardiac magnetic resonance (CMR) feature tracking (FT). We compared agreement and reproducibility between th...

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Autores principales: Miskinyte, Emilija, Bucius, Paulius, Erley, Jennifer, Zamani, Seyedeh Mahsa, Tanacli, Radu, Stehning, Christian, Schneeweis, Christopher, Lapinskas, Tomas, Pieske, Burkert, Falk, Volkmar, Gebker, Rolf, Pedrizzetti, Gianni, Solowjowa, Natalia, Kelle, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780556/
https://www.ncbi.nlm.nih.gov/pubmed/31509951
http://dx.doi.org/10.3390/jcm8091423
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author Miskinyte, Emilija
Bucius, Paulius
Erley, Jennifer
Zamani, Seyedeh Mahsa
Tanacli, Radu
Stehning, Christian
Schneeweis, Christopher
Lapinskas, Tomas
Pieske, Burkert
Falk, Volkmar
Gebker, Rolf
Pedrizzetti, Gianni
Solowjowa, Natalia
Kelle, Sebastian
author_facet Miskinyte, Emilija
Bucius, Paulius
Erley, Jennifer
Zamani, Seyedeh Mahsa
Tanacli, Radu
Stehning, Christian
Schneeweis, Christopher
Lapinskas, Tomas
Pieske, Burkert
Falk, Volkmar
Gebker, Rolf
Pedrizzetti, Gianni
Solowjowa, Natalia
Kelle, Sebastian
author_sort Miskinyte, Emilija
collection PubMed
description In this study, we used a single commercially available software solution to assess global longitudinal (GLS) and global circumferential strain (GCS) using cardiac computed tomography (CT) and cardiac magnetic resonance (CMR) feature tracking (FT). We compared agreement and reproducibility between these two methods and the reference standard, CMR tagging (TAG). Twenty-seven patients with severe aortic stenosis underwent CMR and cardiac CT examinations. FT analysis was performed using Medis suite version 3.0 (Leiden, The Netherlands) software. Segment (Medviso) software was used for GCS assessment from tagged images. There was a trend towards the underestimation of GLS by CT-FT when compared to CMR-FT (19.4 ± 5.04 vs. 22.40 ± 5.69, respectively; p = 0.065). GCS values between TAG, CT-FT, and CMR-FT were similar (p = 0.233). CMR-FT and CT-FT correlated closely for GLS (r = 0.686, p < 0.001) and GCS (r = 0.707, p < 0.001), while both of these methods correlated moderately with TAG for GCS (r = 0.479, p < 0.001 for CMR-FT vs. TAG; r = 0.548 for CT-FT vs. TAG). Intraobserver and interobserver agreement was excellent in all techniques. Our findings show that, in elderly patients with severe aortic stenosis (AS), the FT algorithm performs equally well in CMR and cardiac CT datasets for the assessment of GLS and GCS, both in terms of reproducibility and agreement with the gold standard, TAG.
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spelling pubmed-67805562019-10-30 Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis Miskinyte, Emilija Bucius, Paulius Erley, Jennifer Zamani, Seyedeh Mahsa Tanacli, Radu Stehning, Christian Schneeweis, Christopher Lapinskas, Tomas Pieske, Burkert Falk, Volkmar Gebker, Rolf Pedrizzetti, Gianni Solowjowa, Natalia Kelle, Sebastian J Clin Med Article In this study, we used a single commercially available software solution to assess global longitudinal (GLS) and global circumferential strain (GCS) using cardiac computed tomography (CT) and cardiac magnetic resonance (CMR) feature tracking (FT). We compared agreement and reproducibility between these two methods and the reference standard, CMR tagging (TAG). Twenty-seven patients with severe aortic stenosis underwent CMR and cardiac CT examinations. FT analysis was performed using Medis suite version 3.0 (Leiden, The Netherlands) software. Segment (Medviso) software was used for GCS assessment from tagged images. There was a trend towards the underestimation of GLS by CT-FT when compared to CMR-FT (19.4 ± 5.04 vs. 22.40 ± 5.69, respectively; p = 0.065). GCS values between TAG, CT-FT, and CMR-FT were similar (p = 0.233). CMR-FT and CT-FT correlated closely for GLS (r = 0.686, p < 0.001) and GCS (r = 0.707, p < 0.001), while both of these methods correlated moderately with TAG for GCS (r = 0.479, p < 0.001 for CMR-FT vs. TAG; r = 0.548 for CT-FT vs. TAG). Intraobserver and interobserver agreement was excellent in all techniques. Our findings show that, in elderly patients with severe aortic stenosis (AS), the FT algorithm performs equally well in CMR and cardiac CT datasets for the assessment of GLS and GCS, both in terms of reproducibility and agreement with the gold standard, TAG. MDPI 2019-09-10 /pmc/articles/PMC6780556/ /pubmed/31509951 http://dx.doi.org/10.3390/jcm8091423 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Miskinyte, Emilija
Bucius, Paulius
Erley, Jennifer
Zamani, Seyedeh Mahsa
Tanacli, Radu
Stehning, Christian
Schneeweis, Christopher
Lapinskas, Tomas
Pieske, Burkert
Falk, Volkmar
Gebker, Rolf
Pedrizzetti, Gianni
Solowjowa, Natalia
Kelle, Sebastian
Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis
title Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis
title_full Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis
title_fullStr Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis
title_full_unstemmed Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis
title_short Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis
title_sort assessment of global longitudinal and circumferential strain using computed tomography feature tracking: intra-individual comparison with cmr feature tracking and myocardial tagging in patients with severe aortic stenosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780556/
https://www.ncbi.nlm.nih.gov/pubmed/31509951
http://dx.doi.org/10.3390/jcm8091423
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