-
Something wrong with this record ?
Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T
S. Militaru, R. Panovsky, V. Hanet, MS. Amzulescu, H. Langet, MM. Pisciotti, AC. Pouleur, JJ. Vanoverschelde, BL. Gerber
Language English Country Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
BioMedCentral
from 2008-12-01 to 2023-12-31
BioMedCentral Open Access
from 2008
Directory of Open Access Journals
from 2008
Free Medical Journals
from 2008
PubMed Central
from 2008
Europe PubMed Central
from 2008
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2008-01-01
Open Access Digital Library
from 2008-01-01
Health & Medicine (ProQuest)
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 1999
Springer Nature OA/Free Journals
from 2008-12-01 to 2023-12-31
- MeSH
- Ventricular Function, Left MeSH
- Gadolinium MeSH
- Contrast Media * MeSH
- Humans MeSH
- Magnetic Resonance Imaging, Cine * MeSH
- Magnetic Resonance Spectroscopy MeSH
- Predictive Value of Tests MeSH
- Reproducibility of Results MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
BACKGROUND: Cardiovascular magnetic resonance (CMR) 2D feature tracking (FT) left ventricular (LV) myocardial strain has seen widespread use to characterize myocardial deformation. Yet, validation of CMR FT measurements remains scarce, particularly for regional strain. Therefore, we aimed to perform intervendor comparison of 3 different FT software against tagging. METHODS: In 61 subjects (18 healthy subjects, 18 patients with chronic myocardial infarction, 15 with dilated cardiomyopathy, and 10 with LV hypertrophy due to hypertrophic cardiomyopathy or aortic stenosis) were prospectively compared global (G) and regional transmural peak-systolic Lagrangian longitudinal (LS), circumferential (CS) and radial strains (RS) by 3 FT software (cvi42, Segment, and Tomtec) among each other and with tagging at 3T. We also evaluated the ability of regional LS, CS, and RS by different FT software vs tagging to identify late gadolinium enhancement (LGE) in the 18 infarct patients. RESULTS: GLS and GCS by all 3 software had an excellent agreement among each other (ICC = 0.94-0.98 for GLS and ICC = 0.96-0.98 for GCS respectively) and against tagging (ICC = 0.92-0.94 for GLS and ICC = 0.88-0.91 for GCS respectively), while GRS showed inconsistent agreement between vendors (ICC 0.10-0.81). For regional LS, the agreement was good (ICC = 0.68) between 2 vendors but less vs the 3rd (ICC 0.50-0.59) and moderate to poor (ICC 0.44-0.47) between all three FT software and tagging. Also, for regional CS agreement between 2 software was higher (ICC = 0.80) than against the 3rd (ICC = 0.58-0.60), and both better agreed with tagging (ICC = 0.70-0.72) than the 3rd (ICC = 0.57). Regional RS had more variation in the agreement between methods ranging from good (ICC = 0.75) to poor (ICC = 0.05). Finally, the accuracy of scar detection by regional strains differed among the 3 FT software. While the accuracy of regional LS was similar, CS by one software was less accurate (AUC 0.68) than tagging (AUC 0.80, p < 0.006) and RS less accurate (AUC 0.578) than the other two (AUC 0.76 and 0.73, p < 0.02) to discriminate segments with LGE. CONCLUSIONS: We confirm good agreement of CMR FT and little intervendor difference for GLS and GCS evaluation, with variable agreement for GRS. For regional strain evaluation, intervendor difference was larger, especially for RS, and the diagnostic performance varied more substantially among different vendors for regional strain analysis.
International Clinical Research Center St Anne´S Faculty Hospital Brno Czech Republic
Philips Clinical Research Board Paris France
Pôle de Recherche Cardiovasculaire Université Catholique de Louvain Brussels Belgium
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22004347
- 003
- CZ-PrNML
- 005
- 20220127145325.0
- 007
- ta
- 008
- 220113s2021 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12968-021-00742-3 $2 doi
- 035 __
- $a (PubMed)33980259
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Militaru, Sebastian $u Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium $u Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
- 245 10
- $a Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T / $c S. Militaru, R. Panovsky, V. Hanet, MS. Amzulescu, H. Langet, MM. Pisciotti, AC. Pouleur, JJ. Vanoverschelde, BL. Gerber
- 520 9_
- $a BACKGROUND: Cardiovascular magnetic resonance (CMR) 2D feature tracking (FT) left ventricular (LV) myocardial strain has seen widespread use to characterize myocardial deformation. Yet, validation of CMR FT measurements remains scarce, particularly for regional strain. Therefore, we aimed to perform intervendor comparison of 3 different FT software against tagging. METHODS: In 61 subjects (18 healthy subjects, 18 patients with chronic myocardial infarction, 15 with dilated cardiomyopathy, and 10 with LV hypertrophy due to hypertrophic cardiomyopathy or aortic stenosis) were prospectively compared global (G) and regional transmural peak-systolic Lagrangian longitudinal (LS), circumferential (CS) and radial strains (RS) by 3 FT software (cvi42, Segment, and Tomtec) among each other and with tagging at 3T. We also evaluated the ability of regional LS, CS, and RS by different FT software vs tagging to identify late gadolinium enhancement (LGE) in the 18 infarct patients. RESULTS: GLS and GCS by all 3 software had an excellent agreement among each other (ICC = 0.94-0.98 for GLS and ICC = 0.96-0.98 for GCS respectively) and against tagging (ICC = 0.92-0.94 for GLS and ICC = 0.88-0.91 for GCS respectively), while GRS showed inconsistent agreement between vendors (ICC 0.10-0.81). For regional LS, the agreement was good (ICC = 0.68) between 2 vendors but less vs the 3rd (ICC 0.50-0.59) and moderate to poor (ICC 0.44-0.47) between all three FT software and tagging. Also, for regional CS agreement between 2 software was higher (ICC = 0.80) than against the 3rd (ICC = 0.58-0.60), and both better agreed with tagging (ICC = 0.70-0.72) than the 3rd (ICC = 0.57). Regional RS had more variation in the agreement between methods ranging from good (ICC = 0.75) to poor (ICC = 0.05). Finally, the accuracy of scar detection by regional strains differed among the 3 FT software. While the accuracy of regional LS was similar, CS by one software was less accurate (AUC 0.68) than tagging (AUC 0.80, p < 0.006) and RS less accurate (AUC 0.578) than the other two (AUC 0.76 and 0.73, p < 0.02) to discriminate segments with LGE. CONCLUSIONS: We confirm good agreement of CMR FT and little intervendor difference for GLS and GCS evaluation, with variable agreement for GRS. For regional strain evaluation, intervendor difference was larger, especially for RS, and the diagnostic performance varied more substantially among different vendors for regional strain analysis.
- 650 12
- $a kontrastní látky $7 D003287
- 650 _2
- $a gadolinium $7 D005682
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a magnetická rezonance kinematografická $7 D019028
- 650 _2
- $a magnetická rezonanční spektroskopie $7 D009682
- 650 _2
- $a prediktivní hodnota testů $7 D011237
- 650 _2
- $a reprodukovatelnost výsledků $7 D015203
- 650 _2
- $a funkce levé komory srdeční $7 D016277
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Panovsky, Roman $u International Clinical Research Center, St. Anne´S Faculty Hospital, Brno, Czech Republic $u 1st Department of Internal Medicine/Cardioangiology, St. Anne´S Faculty Hospital, Faculty of Medicine, Masaryk University Brno, Brno, Czech Republic
- 700 1_
- $a Hanet, Vincent $u Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium $u Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
- 700 1_
- $a Amzulescu, Mihaela Silvia $u Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium $u Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
- 700 1_
- $a Langet, Hélène $u Philips Clinical Research Board, Paris, France
- 700 1_
- $a Pisciotti, Mary Mojica $u International Clinical Research Center, St. Anne´S Faculty Hospital, Brno, Czech Republic
- 700 1_
- $a Pouleur, Anne-Catherine $u Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium $u Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
- 700 1_
- $a Vanoverschelde, Jean-Louis J $u Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium $u Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
- 700 1_
- $a Gerber, Bernhard L $u Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium. bernhard.gerber@uclouvain.be $u Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium. bernhard.gerber@uclouvain.be
- 773 0_
- $w MED00008001 $t Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance $x 1532-429X $g Roč. 23, č. 1 (2021), s. 54
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/33980259 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20220113 $b ABA008
- 991 __
- $a 20220127145322 $b ABA008
- 999 __
- $a ok $b bmc $g 1751722 $s 1155496
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 23 $c 1 $d 54 $e 20210513 $i 1532-429X $m Journal of cardiovascular magnetic resonance $n J Cardiovasc Magn Reson $x MED00008001
- LZP __
- $a Pubmed-20220113