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

Standard

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.

In: J CLIN MED, Vol. 8, No. 9, 10.09.2019.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Miskinyte, E, Bucius, P, Erley, J, Zamani, SM, Tanacli, R, Stehning, C, Schneeweis, C, Lapinskas, T, Pieske, B, Falk, V, Gebker, R, Pedrizzetti, G, Solowjowa, N & Kelle, S 2019, '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', J CLIN MED, vol. 8, no. 9. https://doi.org/10.3390/jcm8091423

APA

Miskinyte, E., Bucius, P., Erley, J., Zamani, S. M., Tanacli, R., Stehning, C., Schneeweis, C., Lapinskas, T., Pieske, B., Falk, V., Gebker, R., Pedrizzetti, G., Solowjowa, N., & Kelle, S. (2019). 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. J CLIN MED, 8(9). https://doi.org/10.3390/jcm8091423

Vancouver

Bibtex

@article{6ed28b511df44fd98822d8cd021c483c,
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",
abstract = "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.",
author = "Emilija Miskinyte and Paulius Bucius and Jennifer Erley and Zamani, {Seyedeh Mahsa} and Radu Tanacli and Christian Stehning and Christopher Schneeweis and Tomas Lapinskas and Burkert Pieske and Volkmar Falk and Rolf Gebker and Gianni Pedrizzetti and Natalia Solowjowa and Sebastian Kelle",
year = "2019",
month = sep,
day = "10",
doi = "10.3390/jcm8091423",
language = "English",
volume = "8",
journal = "J CLIN MED",
issn = "2077-0383",
publisher = "MDPI AG",
number = "9",

}

RIS

TY - JOUR

T1 - 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

AU - Miskinyte, Emilija

AU - Bucius, Paulius

AU - Erley, Jennifer

AU - Zamani, Seyedeh Mahsa

AU - Tanacli, Radu

AU - Stehning, Christian

AU - Schneeweis, Christopher

AU - Lapinskas, Tomas

AU - Pieske, Burkert

AU - Falk, Volkmar

AU - Gebker, Rolf

AU - Pedrizzetti, Gianni

AU - Solowjowa, Natalia

AU - Kelle, Sebastian

PY - 2019/9/10

Y1 - 2019/9/10

N2 - 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.

AB - 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.

U2 - 10.3390/jcm8091423

DO - 10.3390/jcm8091423

M3 - SCORING: Journal article

C2 - 31509951

VL - 8

JO - J CLIN MED

JF - J CLIN MED

SN - 2077-0383

IS - 9

ER -