Literature DB >> 22096033

Assessment of carotid plaque stability based on the dynamic enhancement pattern in plaque components with multidetector CT angiography.

Nobutaka Horie1, Minoru Morikawa, Shunsuke Ishizaka, Tomonori Takeshita, Gohei So, Kentaro Hayashi, Kazuhiko Suyama, Izumi Nagata.   

Abstract

BACKGROUND AND
PURPOSE: Recent studies have investigated plaque morphology to determine patients who are at high risk of carotid atherosclerosis. In this study, we investigated whether a difference in dynamic enhancement pattern in plaque components could be useful to assess plaque stability with multidetector CT angiography.
METHODS: Fifty-nine lesions with moderate to severe carotid atherosclerosis in 51 patients (33 symptomatic, 18 asymptomatic) were consecutively included. Early- and delayed-phase images were obtained in 3 equivalent axial slices with multidetector CT angiography. Hounsfield units (HU) in the early phase were subtracted from those in the delayed phase in plaques (ΔHU) and compared with clinical features, MRI-based plaque characteristics, and histological findings with 20 surgical specimens acquired from carotid endarterectomy.
RESULTS: The ΔHU was significantly higher in asymptomatic than that in symptomatic presentation (P=0.02). With MRI, a higher ΔHU was negatively correlated with signal intensity on T1-weighted imaging (r=-0.56, P<0.0001). Histology confirmed that ΔHU was positively correlated with fibrous tissue (r=0.67, P=0.001) and negatively correlated with a lipid-rich necrotic core with hemorrhage (r=-0.70, P<0.001). Moreover, less neovascularization and inflammation was found in plaques with a higher ΔHU.
CONCLUSIONS: Delayed-phase images provide information regarding the dynamic change in contrast media from the early arterial phase. An increase in HU from the early phase on multidetector CT angiography indicates plaque stability with more fibrous tissue and a less lipid-rich necrotic core, intraplaque hemorrhage, and neovascularization.

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Year:  2011        PMID: 22096033     DOI: 10.1161/STROKEAHA.111.635953

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


  11 in total

1.  Carotid Intraplaque-Hemorrhage Volume and Its Association with Cerebrovascular Events.

Authors:  L Saba; G Micheletti; W Brinjikji; P Garofalo; R Montisci; A Balestrieri; J S Suri; J K DeMarco; G Lanzino; R Sanfilippo
Journal:  AJNR Am J Neuroradiol       Date:  2019-09-26       Impact factor: 3.825

2.  Carotid artery plaque characterization using CT multienergy imaging.

Authors:  L Saba; G M Argiolas; P Siotto; M Piga
Journal:  AJNR Am J Neuroradiol       Date:  2012-10-04       Impact factor: 3.825

Review 3.  Association between Carotid Plaque Features on CTA and Cerebrovascular Ischemia: A Systematic Review and Meta-Analysis.

Authors:  H Baradaran; K Al-Dasuqi; A Knight-Greenfield; A Giambrone; D Delgado; E J Ebani; H Kamel; A Gupta
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-26       Impact factor: 3.825

Review 4.  Role of cardiac and extracranial vascular CT in the evaluation/management of cerebral ischemia and stroke.

Authors:  Shahmir Kamalian; Shervin Kamalian; Stuart R Pomerantz; Teerath P Tanpitukpongse; Rajiv Gupta; Javier M Romero; Douglas S Katz
Journal:  Emerg Radiol       Date:  2013-03-22

5.  Association between carotid plaque enhancement shown by multidetector CT angiography and histologically validated microvessel density.

Authors:  Luca Saba; Maria Letizia Lai; Roberto Montisci; Elisabetta Tamponi; Roberto Sanfilippo; Gavino Faa; Mario Piga
Journal:  Eur Radiol       Date:  2012-05-10       Impact factor: 5.315

Review 6.  Plaque hemorrhage in carotid artery disease: pathogenesis, clinical and biomechanical considerations.

Authors:  Zhongzhao Teng; Umar Sadat; Adam J Brown; Jonathan H Gillard
Journal:  J Biomech       Date:  2014-01-13       Impact factor: 2.712

7.  Computed tomography scan based prediction of the vulnerable carotid plaque.

Authors:  Hadi Mahmoud Haider Diab; Lars Melholt Rasmussen; Stevo Duvnjak; Axel Diederichsen; Pia Søndergaard Jensen; Jes Sanddal Lindholt
Journal:  BMC Med Imaging       Date:  2017-12-13       Impact factor: 1.930

8.  A Protocol-Based Decision for Choosing a Proper Surgical Treatment Option for Carotid Artery Stenosis.

Authors:  E-Wook Jang; Joonho Chung; Kwon-Duk Seo; Sang Hyun Suh; Yong Bae Kim; Kyung-Yul Lee
Journal:  J Cerebrovasc Endovasc Neurosurg       Date:  2015-06-30

9.  Arterial Wall Imaging in Symptomatic Carotid Stenosis: Delayed Enhancement on MDCT Angiography.

Authors:  Su Min Ha; Sang-Il Suh; Woo-Keun Seo; Hae Young Seol
Journal:  Neurointervention       Date:  2016-03-03

10.  Efficacy of Thrombus Density on Noninvasive Computed Tomography Neuroimaging for Predicting Thrombus Pathology and Patient Outcome after Mechanical Thrombectomy in Acute Ischemic Stroke.

Authors:  Dittapong Songsaeng; Tharathorn Kaeowirun; Ittichai Sakarunchai; Pornsuk Cheunsuchon; Jaruwan Weankhanan; Anek Suwanbundit; Timo Krings
Journal:  Asian J Neurosurg       Date:  2019 Jul-Sep
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