FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2993119581> ?p ?o ?g. }

• W2993119581 endingPage "532" @default.
• W2993119581 startingPage "523" @default.
• W2993119581 abstract "A multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques.Eighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and inter-observer reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS.We found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain." @default.
• W2993119581 created "2019-12-13" @default.
• W2993119581 creator A5008634226 @default.
• W2993119581 creator A5009905903 @default.
• W2993119581 creator A5042415857 @default.
• W2993119581 creator A5050533431 @default.
• W2993119581 creator A5053562396 @default.
• W2993119581 creator A5056021851 @default.
• W2993119581 creator A5061446189 @default.
• W2993119581 creator A5067454034 @default.
• W2993119581 creator A5068658356 @default.
• W2993119581 creator A5070225577 @default.
• W2993119581 creator A5073901682 @default.
• W2993119581 creator A5074687257 @default.
• W2993119581 creator A5078888584 @default.
• W2993119581 date "2019-12-04" @default.
• W2993119581 modified "2023-10-14" @default.
• W2993119581 title "Comparison of feature tracking, fast‐SENC, and myocardial tagging for global and segmental left ventricular strain" @default.
• W2993119581 cites W1597949975 @default.
• W2993119581 cites W1870638042 @default.
• W2993119581 cites W1947831648 @default.
• W2993119581 cites W2000062311 @default.
• W2993119581 cites W2001975411 @default.
• W2993119581 cites W2002312306 @default.
• W2993119581 cites W2016938758 @default.
• W2993119581 cites W2063085086 @default.
• W2993119581 cites W2066728152 @default.
• W2993119581 cites W2073988052 @default.
• W2993119581 cites W2093678897 @default.
• W2993119581 cites W2116306872 @default.
• W2993119581 cites W2136087294 @default.
• W2993119581 cites W2164292266 @default.
• W2993119581 cites W2168367652 @default.
• W2993119581 cites W2170278431 @default.
• W2993119581 cites W2191588938 @default.
• W2993119581 cites W2196781374 @default.
• W2993119581 cites W2304058016 @default.
• W2993119581 cites W2512877960 @default.
• W2993119581 cites W2616650058 @default.
• W2993119581 cites W2625704543 @default.
• W2993119581 cites W2793878550 @default.
• W2993119581 cites W2800384671 @default.
• W2993119581 cites W2891463691 @default.
• W2993119581 cites W2913643708 @default.
• W2993119581 cites W2926025896 @default.
• W2993119581 cites W2942123585 @default.
• W2993119581 cites W2993119581 @default.
• W2993119581 cites W4236463435 @default.
• W2993119581 doi "https://doi.org/10.1002/ehf2.12576" @default.
• W2993119581 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7160507" @default.
• W2993119581 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31800152" @default.
• W2993119581 hasPublicationYear "2019" @default.
• W2993119581 type Work @default.
• W2993119581 sameAs 2993119581 @default.
• W2993119581 citedByCount "56" @default.
• W2993119581 countsByYear W29931195812019 @default.
• W2993119581 countsByYear W29931195812020 @default.
• W2993119581 countsByYear W29931195812021 @default.
• W2993119581 countsByYear W29931195812022 @default.
• W2993119581 countsByYear W29931195812023 @default.
• W2993119581 crossrefType "journal-article" @default.
• W2993119581 hasAuthorship W2993119581A5008634226 @default.
• W2993119581 hasAuthorship W2993119581A5009905903 @default.
• W2993119581 hasAuthorship W2993119581A5042415857 @default.
• W2993119581 hasAuthorship W2993119581A5050533431 @default.
• W2993119581 hasAuthorship W2993119581A5053562396 @default.
• W2993119581 hasAuthorship W2993119581A5056021851 @default.
• W2993119581 hasAuthorship W2993119581A5061446189 @default.
• W2993119581 hasAuthorship W2993119581A5067454034 @default.
• W2993119581 hasAuthorship W2993119581A5068658356 @default.
• W2993119581 hasAuthorship W2993119581A5070225577 @default.
• W2993119581 hasAuthorship W2993119581A5073901682 @default.
• W2993119581 hasAuthorship W2993119581A5074687257 @default.
• W2993119581 hasAuthorship W2993119581A5078888584 @default.
• W2993119581 hasBestOaLocation W29931195811 @default.
• W2993119581 hasConcept C105795698 @default.
• W2993119581 hasConcept C126322002 @default.
• W2993119581 hasConcept C126838900 @default.
• W2993119581 hasConcept C143310123 @default.
• W2993119581 hasConcept C143409427 @default.
• W2993119581 hasConcept C153180895 @default.
• W2993119581 hasConcept C154945302 @default.
• W2993119581 hasConcept C164705383 @default.
• W2993119581 hasConcept C2778198053 @default.
• W2993119581 hasConcept C2780092901 @default.
• W2993119581 hasConcept C2987145844 @default.
• W2993119581 hasConcept C2987395694 @default.
• W2993119581 hasConcept C2989005 @default.
• W2993119581 hasConcept C3018577593 @default.
• W2993119581 hasConcept C33923547 @default.
• W2993119581 hasConcept C41008148 @default.
• W2993119581 hasConcept C55078378 @default.
• W2993119581 hasConcept C71924100 @default.
• W2993119581 hasConcept C89838059 @default.
• W2993119581 hasConcept C9893847 @default.
• W2993119581 hasConceptScore W2993119581C105795698 @default.
• W2993119581 hasConceptScore W2993119581C126322002 @default.
• W2993119581 hasConceptScore W2993119581C126838900 @default.

• next