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Quantitative Fat and R2* Mapping In Vivo to Measure Lipid-Rich Necrotic Core and Intraplaque Hemorrhage in Carotid Atherosclerosis
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping. SyntheticMR AB, Linköping, Sweden.
School of Computing, University of Leeds, Leeds, United Kingdom.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
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2017 (English)In: Magnetic Resonance in Medicine, ISSN 0740-3194, E-ISSN 1522-2594, Vol. 78, no 1, 285-296 p.Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose: The aim of this work was to quantify the extent of lipid-rich necrotic core (LRNC) and intraplaque hemorrhage (IPH) in atherosclerotic plaques.

Methods: Patients scheduled for carotid endarterectomy underwent four-point Dixon and T1-weighted magnetic resonance imaging (MRI) at 3 Tesla. Fat and R2* maps were generated from the Dixon sequence at the acquired spatial resolution of 0.60 × 0.60 × 0.70 mm voxel size. MRI and three-dimensional (3D) histology volumes of plaques were registered. The registration matrix was applied to segmentations denoting LRNC and IPH in 3D histology to split plaque volumes in regions with and without LRNC and IPH.

Results: Five patients were included. Regarding volumes of LRNC identified by 3D histology, the average fat fraction by MRI was significantly higher inside LRNC than outside: 12.64 ± 0.2737% versus 9.294 ± 0.1762% (mean ± standard error of the mean [SEM]; P < 0.001). The same was true for IPH identified by 3D histology, R2* inside versus outside IPH was: 71.81 ± 1.276 s−1 versus 56.94 ± 0.9095 s−1 (mean ± SEM; P < 0.001). There was a strong correlation between the cumulative fat and the volume of LRNC from 3D histology (R2 = 0.92) as well as between cumulative R2* and IPH (R2 = 0.94).

Conclusion: Quantitative mapping of fat and R2* from Dixon MRI reliably quantifies the extent of LRNC and IPH.

Place, publisher, year, edition, pages
John Wiley & Sons, 2017. Vol. 78, no 1, 285-296 p.
Keyword [en]
atherosclerosis, carotid artery, magnetic resonance imaging, quantitative mapping
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:liu:diva-132745DOI: 10.1002/mrm.26359ISI: 000403803900029PubMedID: 27510300OAI: oai:DiVA.org:liu-132745DiVA: diva2:1048907
Available from: 2016-11-22 Created: 2016-11-22 Last updated: 2017-08-11Bibliographically approved

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Koppal, SandeepWarntjes, MarcelDyverfeldt, PetterKihlberg, JohanMoreno, RodrigoZachrisson, HeleneLänne, TosteTreanor, Darrende Muinck, Ebo
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Center for Medical Image Science and Visualization (CMIV)Division of Cardiovascular MedicineFaculty of Medicine and Health SciencesDepartment of Clinical Physiology in LinköpingDepartment of Radiology in LinköpingDivision of Radiological SciencesDepartment of Thoracic and Vascular SurgeryDivision of Neuro and Inflammation ScienceDepartment of Cardiology in Linköping
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