Donate Help Contact The AHA Sign In Home
American Heart Association
Arteriosclerosis, Thrombosis, and Vascular Biology
Search: search_blue_button Advanced Search
Arteriosclerosis, Thrombosis, and Vascular Biology. 2006;26:2366-2372
Published online before print August 10, 2006, doi: 10.1161/01.ATV.0000240518.90124.57
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Data Supplement
Right arrow All Versions of this Article:
26/10/2366    most recent
01.ATV.0000240518.90124.57v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by de Weert, T. T.
Right arrow Articles by van der Lugt, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by de Weert, T. T.
Right arrow Articles by van der Lugt, A.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*CT Scans
Related Collections
Right arrow CT and MRI
Right arrow Carotid Stenosis
Right arrow Imaging
Right arrow Computerized tomography and Magnetic Resonance Imaging
(Arteriosclerosis, Thrombosis, and Vascular Biology. 2006;26:2366.)
© 2006 American Heart Association, Inc.


Atherosclerosis and Lipoproteins

In Vivo Characterization and Quantification of Atherosclerotic Carotid Plaque Components With Multidetector Computed Tomography and Histopathological Correlation

Thomas T. de Weert; Mohamed Ouhlous; Erik Meijering; Pieter E. Zondervan; Johanna M. Hendriks; Marc R.H.M. van Sambeek; Diederik W.J. Dippel; Aad van der Lugt

From the Departments of Radiology (T.T.d.W., M.O., E.M., A.v.d.L.), Medical Informatics (E.M.), Pathology (P.E.Z.), Vascular Surgery (J.M.H., M.R.H.M.v.S.), and Neurology (D.W.J.D.), Erasmus MC, University Medical Center, Rotterdam, The Netherlands.

Correspondence to Aad van der Lugt, Department of Radiology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands. E-mail a.vanderlugt{at}erasmusmc.nl

Objective— In a previous in vitro study we have demonstrated that atherosclerotic plaque components can be characterized with multidetector computed tomography (MDCT) based on differences in Hounsfield values (HV). Now we evaluated the use of MDCT in vivo to characterize and quantify atherosclerotic carotid plaque components compared with histology as reference standard.

Methods and Results— Fifteen symptomatic patients with carotid stenosis (>70%) underwent MDCT angiography before carotid endarterectomy (CEA). From each CEA specimen 3 histological sections and corresponding MDCT images were selected. The HV of the major plaque components were assessed. The measured HV were: 657±416HU, 88±18HU, and 25±19HU for calcifications, fibrous tissue, and lipid core, respectively. The cut-off value to differentiate lipid core from fibrous tissue and fibrous tissue from calcifications was based on these measurements and set at 60 HU and 130 HU, respectively. Regression plots showed good correlations (R2>0.73) between MDCT and histology except for lipid core areas, which had a good correlation (R2=0.77) only in mildly calcified (0% to 10%) plaques.

Conclusions— MDCT is able to quantify total plaque area, calcifications, and fibrous tissue in atherosclerotic carotid plaques in good correlation with histology. Lipid core can only be adequately quantified in mildly calcified plaques.

The present study shows that multidetector computed tomography (MDCT) can quantify plaque and plaque component areas in good correlation with histology. However, lipid core can only be adequately quantified in mildly calcified plaques. MDCT based plaque quantification may evolve into an important feature in risk assessment of patients with carotid atherosclerosis.


Key Words: carotid stenosis • computerized tomography • magnetic resonance imaging • imaging




This article has been cited by other articles:


Home page
NeurologyHome page
R. M. Kwee, R. J. van Oostenbrugge, L. Hofstra, G. J. Teule, J.M.A. van Engelshoven, W. H. Mess, and M. E. Kooi
Identifying vulnerable carotid plaques by noninvasive imaging
Neurology, June 10, 2008; 70(24_Part_2): 2401 - 2409.
[Abstract] [Full Text] [PDF]


Home page
Postgrad. Med. J.Home page
J. Burrill, Z. Dabbagh, F. Gollub, and M. Hamady
Multidetector computed tomographic angiography of the cardiovascular system
Postgrad. Med. J., November 1, 2007; 83(985): 698 - 704.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
A.D. Hardie, C.M. Kramer, P. Raghavan, E. Baskurt, and K.R. Nandalur
The Impact of Expansive Arterial Remodeling on Clinical Presentation in Carotid Artery Disease: A Multidetector CT Angiography Study
AJNR Am. J. Neuroradiol., June 1, 2007; 28(6): 1067 - 1070.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
K. R. Nandalur, A. D. Hardie, P. Raghavan, M. J. Schipper, E. Baskurt, and C. M. Kramer
Composition of the Stable Carotid Plaque: Insights From a Multidetector Computed Tomography Study of Plaque Volume
Stroke, March 1, 2007; 38(3): 935 - 940.
[Abstract] [Full Text] [PDF]