Journal article
Quantification of lipid-rich core in carotid atherosclerosis using MRI T2 mapping - relation to clinical presentation
- Abstract:
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Objectives
This study aimed to: (1) provide tissue validation of quantitative T2 maps to measure plaque lipid content; and (2) to investigate whether this technique could discern differences in plaque characteristics between symptom-related and non symptom-related carotid plaques.
Background
Non-invasive plaque lipid quantification is appealing both for stratification in treatment selection and as a possible predictor of future plaque rupture. However, current magnetic resonance imaging (MRI) methods are insensitive, require a coalesced mass of lipid ‘core’ and rely on multicontrast acquisition with contrast media and extensive post-processing.
Methods
Patients scheduled for carotid endarterectomy were recruited for 3T carotid MRI before surgery. Lipid Area was derived from segmented T2 maps and compared directly to plaque lipid defined by histology.
Results
Lipid Area (%) on T2 mapping and histology showed excellent correlation, both by individual slices (R = 0.85, P < 0.001) and plaque average (R = 0.83, P < 0.001). Lipid Area (%) on T¬2 maps was significantly higher in symptomatic compared to asymptomatic plaques (31.5 ± 3.7% vs. 15.8 ± 3.1%, P = 0.005) despite similar degrees of carotid stenosis. Receiver operating characteristic curve analysis showed that T2 mapping has a fair to good ability to discriminate between symptomatic and asymptomatic plaques.
Conclusions
MRI T2 mapping accurately quantifies plaque lipid content non-invasively. Greater plaque lipid content was found in symptomatic plaques. This new technique may find a role in determining optimum treatment e.g. providing an indication for intensive lipid lowering or by informing decisions of stents vs. surgery.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.8MB, Terms of use)
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- Publisher copy:
- 10.1016/j.jcmg.2016.06.013*
Authors
- Funding agency for:
- Biasiolli, L
- Publisher:
- Elsevier
- Journal:
- JACC: Cardiovascular Imaging More from this journal
- Volume:
- 10
- Issue:
- 7
- Pages:
- 747–756
- Publication date:
- 2016-10-01
- Acceptance date:
- 2016-06-16
- DOI:
- Pubs id:
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pubs:646382
- UUID:
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uuid:b1dfaaeb-ca75-4471-b592-e796565de3ce
- Local pid:
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pubs:646382
- Source identifiers:
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646382
- Deposit date:
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2016-09-27
- ARK identifier:
Terms of use
- Copyright holder:
- American College of Cardiology Foundation
- Copyright date:
- 2016
- Notes:
- © 2016 by the American College of Cardiology Foundation. Published by Elsevier. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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