Quantification of epicardial fat using 3D cine Dixon MRI.


Journal

BMC medical imaging
ISSN: 1471-2342
Titre abrégé: BMC Med Imaging
Pays: England
ID NLM: 100968553

Informations de publication

Date de publication:
14 07 2020
Historique:
received: 29 04 2020
accepted: 02 07 2020
entrez: 16 7 2020
pubmed: 16 7 2020
medline: 29 6 2021
Statut: epublish

Résumé

There is an increased interest in quantifying and characterizing epicardial fat which has been linked to various cardiovascular diseases such as coronary artery disease and atrial fibrillation. Recently, three-dimensional single-phase Dixon techniques have been used to depict the heart and to quantify the surrounding fat. The purpose of this study was to investigate the merits of a new high-resolution cine 3D Dixon technique for quantification of epicardial adipose tissue and compare it to single-phase 3D Dixon in patients with cardiovascular disease. Fifteen patients referred for clinical CMR examination of known or suspected heart disease were scanned on a 1.5 T scanner using single-phase Dixon and cine Dixon. Epicardial fat was segmented by three readers and intra- and inter-observer variability was calculated per slice. Cine Dixon segmentation was performed in the same cardiac phase as single-phase Dixon. Subjective image quality assessment of water and fat images were performed by three readers using a 4-point Likert scale (1 = severe; 2 = significant; 3 = mild; 4 = no blurring of cardiac structures). Intra-observer variability was excellent for cine Dixon images (ICC = 0.96), and higher than single-phase Dixon (ICC = 0.92). Inter-observer variability was good for cine Dixon (ICC = 0.76) and moderate for single-phase Dixon (ICC = 0.63). The intra-observer measurement error (mean ± standard deviation) per slice for cine was - 0.02 ± 0.51 ml (- 0.08 ± 0.4%), and for single-phase 0.39 ± 0.72 ml (0.18 ± 0.41%). Inter-observer measurement error for cine was 0.46 ± 0.98 ml (0.11 ± 0.46%) and for single-phase 0.42 ± 1.53 ml (0.17 ± 0.47%). Visual scoring of the water image yielded median of 2 (interquartile range = [Q3-Q1] 2-2) for cine and median of 3 (interquartile range = 3-2) for single-phase (P < 0.05) while no significant difference was found for the fat images, both techniques yielding a median of 3 and interquartile range of 3-2. Cine Dixon can be used to quantify epicardial fat with lower intra- and inter-observer variability compared to standard single-phase Dixon. The time-resolved information provided by the cine acquisition appears to support the delineation of the epicardial adipose tissue depot.

Sections du résumé

BACKGROUND
There is an increased interest in quantifying and characterizing epicardial fat which has been linked to various cardiovascular diseases such as coronary artery disease and atrial fibrillation. Recently, three-dimensional single-phase Dixon techniques have been used to depict the heart and to quantify the surrounding fat. The purpose of this study was to investigate the merits of a new high-resolution cine 3D Dixon technique for quantification of epicardial adipose tissue and compare it to single-phase 3D Dixon in patients with cardiovascular disease.
METHODS
Fifteen patients referred for clinical CMR examination of known or suspected heart disease were scanned on a 1.5 T scanner using single-phase Dixon and cine Dixon. Epicardial fat was segmented by three readers and intra- and inter-observer variability was calculated per slice. Cine Dixon segmentation was performed in the same cardiac phase as single-phase Dixon. Subjective image quality assessment of water and fat images were performed by three readers using a 4-point Likert scale (1 = severe; 2 = significant; 3 = mild; 4 = no blurring of cardiac structures).
RESULTS
Intra-observer variability was excellent for cine Dixon images (ICC = 0.96), and higher than single-phase Dixon (ICC = 0.92). Inter-observer variability was good for cine Dixon (ICC = 0.76) and moderate for single-phase Dixon (ICC = 0.63). The intra-observer measurement error (mean ± standard deviation) per slice for cine was - 0.02 ± 0.51 ml (- 0.08 ± 0.4%), and for single-phase 0.39 ± 0.72 ml (0.18 ± 0.41%). Inter-observer measurement error for cine was 0.46 ± 0.98 ml (0.11 ± 0.46%) and for single-phase 0.42 ± 1.53 ml (0.17 ± 0.47%). Visual scoring of the water image yielded median of 2 (interquartile range = [Q3-Q1] 2-2) for cine and median of 3 (interquartile range = 3-2) for single-phase (P < 0.05) while no significant difference was found for the fat images, both techniques yielding a median of 3 and interquartile range of 3-2.
CONCLUSION
Cine Dixon can be used to quantify epicardial fat with lower intra- and inter-observer variability compared to standard single-phase Dixon. The time-resolved information provided by the cine acquisition appears to support the delineation of the epicardial adipose tissue depot.

Identifiants

pubmed: 32664848
doi: 10.1186/s12880-020-00478-z
pii: 10.1186/s12880-020-00478-z
pmc: PMC7362508
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

80

Subventions

Organisme : Vetenskapsrådet
ID : 2018-04164
Pays : International
Organisme : Medicinska Forskningsrådet
ID : 2018-02779
Pays : International
Organisme : Hjärt-Lungfonden
ID : 20170440
Pays : International
Organisme : Länsstyrelsen Östergötland
ID : LIO-797721
Pays : International

Références

Am J Clin Nutr. 2017 Oct;106(4):984-995
pubmed: 28814394
Atherosclerosis. 2016 Aug;251:47-54
pubmed: 27266821
Am J Cardiol. 2011 Aug 1;108(3):397-401
pubmed: 21565323
Magn Reson Med. 2015 Nov;74(5):1306-16
pubmed: 25376772
Magn Reson Med. 2019 Aug;82(2):706-720
pubmed: 31006916
Magn Reson Med. 2014 Jan;71(1):156-63
pubmed: 23400853
Magn Reson Med. 2019 Aug;82(2):732-742
pubmed: 30927310
MAGMA. 2016 Oct;29(5):733-8
pubmed: 27038934
Int J Cardiovasc Imaging. 2013 Aug;29(6):1401-7
pubmed: 23702948
J Am Soc Echocardiogr. 2009 Dec;22(12):1311-9; quiz 1417-8
pubmed: 19944955
Eur Heart J. 2017 Jan 1;38(1):53-61
pubmed: 26612579
Int J Cardiovasc Imaging. 2016 Feb;32(2):291-299
pubmed: 26424492
Magn Reson Med. 2004 Jan;51(1):93-102
pubmed: 14705049
Clin Drug Investig. 2018 Aug;38(8):773-784
pubmed: 30006819
J Magn Reson Imaging. 2015 Dec;42(6):1639-45
pubmed: 25914213
Am Heart J. 2007 Jun;153(6):907-17
pubmed: 17540190
Curr Cardiovasc Imaging Rep. 2010 Apr;3(2):83-91
pubmed: 20401158
Am J Cardiol. 2011 Oct 15;108(8):1119-23
pubmed: 21813107
Am J Cardiol. 2019 Feb 1;123(3):523-531
pubmed: 30477802
J Chiropr Med. 2016 Jun;15(2):155-63
pubmed: 27330520
Magn Reson Imaging. 2011 Jul;29(6):861-8
pubmed: 21524873
Atherosclerosis. 2011 Jan;214(1):3-10
pubmed: 20646709
Radiology. 2011 Jul;260(1):232-40
pubmed: 21493790
Acta Radiol. 2018 Jan;59(1):65-71
pubmed: 28440670
Magn Reson Imaging. 2017 May;38:129-137
pubmed: 28034638
Circ Arrhythm Electrophysiol. 2010 Jun;3(3):230-6
pubmed: 20504944
Circ Arrhythm Electrophysiol. 2016 Dec;9(12):
pubmed: 27923804
J Am Heart Assoc. 2018 Mar 23;7(6):
pubmed: 29572324
Circ Cardiovasc Imaging. 2019 Jan;12(1):e008002
pubmed: 30642215
Circ Cardiovasc Imaging. 2018 Aug;11(8):e007372
pubmed: 30354491
Radiographics. 2010 Oct;30(6):1587-602
pubmed: 21071377
Magn Reson Med. 2014 Nov;72(5):1208-17
pubmed: 25216287
Magn Reson Med. 2010 May;63(5):1230-7
pubmed: 20432294

Auteurs

Markus Henningsson (M)

Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden. markus.henningsson@liu.se.
Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden. markus.henningsson@liu.se.
School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. markus.henningsson@liu.se.

Martin Brundin (M)

Department of Clinical Physiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

Tobias Scheffel (T)

Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

Carl Edin (C)

Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

Federica Viola (F)

Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.

Carl-Johan Carlhäll (CJ)

Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Department of Clinical Physiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

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