Unknown

Dataset Information

0

Comparison of strain imaging techniques in CRT candidates: CMR tagging, CMR feature tracking and speckle tracking echocardiography.


ABSTRACT: Parameters using myocardial strain analysis may predict response to cardiac resynchronization therapy (CRT). As the agreement between currently available strain imaging modalities is unknown, three different modalities were compared. Twenty-seven CRT-candidates, prospectively included in the MARC study, underwent cardiac magnetic resonance (CMR) imaging and echocardiographic examination. Left ventricular (LV) circumferential strain was analysed with CMR tagging (CMR-TAG), CMR feature tracking (CMR-FT), and speckle tracking echocardiography (STE). Basic strain values and parameters of dyssynchrony and discoordination obtained with CMR-FT and STE were compared to CMR-TAG. Agreement of CMR-FT and CMR-TAG was overall fair, while agreement between STE and CMR-TAG was often poor. For both comparisons, agreement on discoordination parameters was highest, followed by dyssynchrony and basic strain parameters. For discoordination parameters, agreement on systolic stretch index was highest, with fair intra-class correlation coefficients (ICC) (CMR-FT: 0.58, STE: 0.55). ICC of septal systolic rebound stretch (SRSsept) was poor (CMR-FT: 0.41, STE: 0.30). Internal stretch factor of septal and lateral wall (ISFsep-lat) showed fair ICC values (CMR-FT: 0.53, STE: 0.46), while the ICC of the total LV (ISFLV) was fair for CMR-FT (0.55) and poor for STE (ICC: 0.32). The CURE index had a fair ICC for both comparisons (CMR-FT: 0.49, STE 0.41). Although comparison of STE to CMR-TAG was limited by methodological differences, agreement between CMR-FT and CMR-TAG was overall higher compared to STE and CMR-TAG. CMR-FT is a potential clinical alternative for CMR-TAG and STE, especially in the detection of discoordination in CRT-candidates.

SUBMITTER: van Everdingen WM 

PROVIDER: S-EPMC5847211 | BioStudies | 2018-01-01

REPOSITORIES: biostudies

Similar Datasets

1000-01-01 | S-EPMC6300826 | BioStudies
2020-01-01 | S-EPMC7298545 | BioStudies
1000-01-01 | S-EPMC5674110 | BioStudies
2020-01-01 | S-EPMC7089993 | BioStudies
2020-01-01 | S-EPMC7160507 | BioStudies
2017-01-01 | S-EPMC5648447 | BioStudies
2019-01-01 | S-EPMC6683180 | BioStudies
1000-01-01 | S-EPMC3464868 | BioStudies
2021-01-01 | S-EPMC7847329 | BioStudies
1000-01-01 | S-EPMC5889420 | BioStudies