Literature DB >> 26081843

Carotid Plaque Morphological Classification Compared With Biomechanical Cap Stress: Implications for a Magnetic Resonance Imaging-Based Assessment.

Frank J H Gijsen1, Harm A Nieuwstadt2, Jolanda J Wentzel2, Hence J M Verhagen2, Aad van der Lugt2, Antonius F W van der Steen2.   

Abstract

BACKGROUND AND
PURPOSE: Two approaches to target plaque vulnerability-a histopathologic classification scheme and a biomechanical analysis-were compared and the implications for noninvasive risk stratification of carotid plaques using magnetic resonance imaging were assessed.
METHODS: Seventy-five histological plaque cross sections were obtained from carotid endarterectomy specimens from 34 patients (>70% stenosis) and subjected to both a Virmani histopathologic classification (thin fibrous cap atheroma with <0.2-mm cap thickness, presumed vulnerable) and a peak cap stress computation (<140 kPa: presumed stable; >300 kPa: presumed vulnerable). To demonstrate the implications for noninvasive plaque assessment, numeric simulations of a typical carotid magnetic resonance imaging protocol were performed (0.62×0.62 mm(2) in-plane acquired voxel size) and used to obtain the magnetic resonance imaging-based peak cap stress.
RESULTS: Peak cap stress was generally associated with histological classification. However, only 16 of 25 plaque cross sections could be labeled as high-risk (peak cap stress>300 kPa and classified as a thin fibrous cap atheroma). Twenty-eight of 50 plaque cross sections could be labeled as low-risk (a peak cap stress<140 kPa and not a thin fibrous cap atheroma), leading to a κ=0.39. 31 plaques (41%) had a disagreement between both classifications. Because of the limited magnetic resonance imaging voxel size with regard to cap thickness, a noninvasive identification of only a group of low-risk, thick-cap plaques was reliable.
CONCLUSIONS: Instead of trying to target only vulnerable plaques, a more reliable noninvasive identification of a select group of stable plaques with a thick cap and low stress might be a more fruitful approach to start reducing surgical interventions on carotid plaques.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  carotid artery plaque; histology; magnetic resonance imaging; mechanics; risk assesment; stroke

Mesh:

Year:  2015        PMID: 26081843     DOI: 10.1161/STROKEAHA.115.009707

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  8 in total

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5.  Model-based cap thickness and peak cap stress prediction for carotid MRI.

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8.  SPECT/CT imaging of inflammation and calcification in human carotid atherosclerosis to identify the plaque at risk of rupture.

Authors:  K Van der Heiden; H E Barrett; E J Meester; K van Gaalen; B J Krenning; F J Beekman; E de Blois; J de Swart; H J M Verhagen; A van der Lugt; J P Norenberg; M de Jong; M R Bernsen; F J H Gijsen
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  8 in total

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