Literature DB >> 33214179

Plaque Composition as a Predictor of Plaque Ulceration in Carotid Artery Atherosclerosis: The Plaque At RISK Study.

K Dilba1,2, D H K van Dam-Nolen1, A C van Dijk1,3, M Kassem4, A F W van der Steen2, P J Koudstaal3, P J Nederkoorn5, J Hendrikse6, M E Kooi4, J J Wentzel2, A van der Lugt7.   

Abstract

BACKGROUND AND
PURPOSE: Plaque ulceration is a marker of previous plaque rupture. We studied the association between atherosclerotic plaque composition at baseline and plaque ulceration at baseline and follow-up.
MATERIALS AND METHODS: We included symptomatic patients with a carotid stenosis of <70% who underwent MDCTA and MR imaging at baseline (n = 180). MDCTA was repeated at 2 years (n = 73). We assessed the presence of ulceration using MDCTA. Baseline MR imaging was used to assess the vessel wall volume and the presence and volume of plaque components (intraplaque hemorrhage, lipid-rich necrotic core, and calcifications) and the fibrous cap status. Associations at baseline were evaluated with binary logistic regression and reported with an OR and its 95% CI. Simple statistical testing was performed in the follow-up analysis.
RESULTS: At baseline, the prevalence of plaque ulceration was 27% (49/180). Increased wall volume (OR  = 12.1; 95% CI, 3.5-42.0), higher relative lipid-rich necrotic core (OR = 1.7; 95% CI, 1.3-2.2), higher relative intraplaque hemorrhage volume (OR = 1.7; 95% CI, 1.3-2.2), and a thin-or-ruptured fibrous cap (OR = 3.4; 95% CI, 1.7-6.7) were associated with the presence of ulcerations at baseline. In 8% (6/73) of the patients, a new ulcer developed. Plaques with a new ulceration at follow-up had at baseline a larger wall volume (1.04 cm3 [IQR, 0.97-1.16 cm3] versus 0.86 cm3 [IQR, 0.73-1.00 cm3]; P = .029), a larger relative lipid-rich necrotic core volume (23% [IQR, 13-31%] versus 2% [IQR, 0-14%]; P = .002), and a larger relative intraplaque hemorrhage volume (14% [IQR, 8-24%] versus 0% [IQR, 0-5%]; P < .001).
CONCLUSIONS: Large atherosclerotic plaques and plaques with intraplaque hemorrhage and lipid-rich necrotic cores were associated with plaque ulcerations at baseline and follow-up.
© 2021 by American Journal of Neuroradiology.

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Year:  2020        PMID: 33214179      PMCID: PMC7814800          DOI: 10.3174/ajnr.A6868

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  33 in total

1.  Association between carotid artery plaque ulceration and plaque composition evaluated with multidetector CT angiography.

Authors:  Philip J Homburg; Sietske Rozie; Marjon J van Gils; Quirijn J A van den Bouwhuijsen; Wiro J Niessen; Diederik W J Dippel; Aad van der Lugt
Journal:  Stroke       Date:  2010-12-23       Impact factor: 7.914

2.  In vivo serial MRI-based models and statistical methods to quantify sensitivity and specificity of mechanical predictors for carotid plaque rupture: location and beyond.

Authors:  Zheyang Wu; Chun Yang; Dalin Tang
Journal:  J Biomech Eng       Date:  2011-06       Impact factor: 2.097

3.  Prediction of high-risk plaque development and plaque progression with the carotid atherosclerosis score.

Authors:  Dongxiang Xu; Daniel S Hippe; Hunter R Underhill; Minako Oikawa-Wakayama; Li Dong; Kiyofumi Yamada; Chun Yuan; Thomas S Hatsukami
Journal:  JACC Cardiovasc Imaging       Date:  2014-03-13

4.  Association between carotid artery plaque volume, composition, and ulceration: a retrospective assessment with MDCT.

Authors:  Luca Saba; Roberto Sanfilippo; Stefano Sannia; Michele Anzidei; Roberto Montisci; Giorgio Mallarini; Jasjit S Suri
Journal:  AJR Am J Roentgenol       Date:  2012-07       Impact factor: 3.959

5.  Classification of human carotid atherosclerotic lesions with in vivo multicontrast magnetic resonance imaging.

Authors:  Jian-Ming Cai; Thomas S Hatsukami; Marina S Ferguson; Randy Small; Nayak L Polissar; Chun Yuan
Journal:  Circulation       Date:  2002-09-10       Impact factor: 29.690

6.  Intraplaque Hemorrhage and the Plaque Surface in Carotid Atherosclerosis: The Plaque At RISK Study (PARISK).

Authors:  A C van Dijk; M T B Truijman; B Hussain; T Zadi; G Saiedie; A A J de Rotte; M I Liem; A F W van der Steen; M J A P Daemen; P J Koudstaal; P J Nederkoorn; J Hendrikse; M E Kooi; A van der Lugt
Journal:  AJNR Am J Neuroradiol       Date:  2015-08-06       Impact factor: 3.825

7.  Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis.

Authors:  H J M Barnett; D W Taylor; R B Haynes; D L Sackett; S J Peerless; G G Ferguson; A J Fox; R N Rankin; V C Hachinski; D O Wiebers; M Eliasziw
Journal:  N Engl J Med       Date:  1991-08-15       Impact factor: 91.245

8.  Intracranial internal carotid artery calcifications: association with vascular risk factors and ischemic cerebrovascular disease.

Authors:  T T de Weert; H Cakir; S Rozie; S Cretier; E Meijering; D W J Dippel; A van der Lugt
Journal:  AJNR Am J Neuroradiol       Date:  2008-10-08       Impact factor: 3.825

Review 9.  Carotid plaque MRI and stroke risk: a systematic review and meta-analysis.

Authors:  Ajay Gupta; Hediyeh Baradaran; Andrew D Schweitzer; Hooman Kamel; Ankur Pandya; Diana Delgado; Allison Dunning; Alvin I Mushlin; Pina C Sanelli
Journal:  Stroke       Date:  2013-08-29       Impact factor: 7.914

10.  Plaque At RISK (PARISK): prospective multicenter study to improve diagnosis of high-risk carotid plaques.

Authors:  M T B Truijman; M E Kooi; A C van Dijk; A A J de Rotte; A G van der Kolk; M I Liem; F H B M Schreuder; E Boersma; W H Mess; R J van Oostenbrugge; P J Koudstaal; L J Kappelle; P J Nederkoorn; A J Nederveen; J Hendrikse; A F W van der Steen; M J A P Daemen; A van der Lugt
Journal:  Int J Stroke       Date:  2013-10-21       Impact factor: 5.266

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  2 in total

1.  Association between plaque vulnerability and neutrophil extracellular traps (NETs) levels: The Plaque At RISK study.

Authors:  Judith J de Vries; Anouchska S A Autar; Dianne H K van Dam-Nolen; Samantha J Donkel; Mohamed Kassem; Anja G van der Kolk; Twan J van Velzen; M Eline Kooi; Jeroen Hendrikse; Paul J Nederkoorn; Daniel Bos; Aad van der Lugt; Moniek P M de Maat; Heleen M M van Beusekom
Journal:  PLoS One       Date:  2022-06-09       Impact factor: 3.752

Review 2.  Detecting vulnerable carotid plaque and its component characteristics: Progress in related imaging techniques.

Authors:  Shi-Ting Weng; Qi-Lun Lai; Meng-Ting Cai; Jun-Jun Wang; Li-Ying Zhuang; Lin Cheng; Ye-Jia Mo; Lu Liu; Yin-Xi Zhang; Song Qiao
Journal:  Front Neurol       Date:  2022-09-14       Impact factor: 4.086

  2 in total

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