Literature DB >> 23811977

Intracranial-derived atherosclerosis assessment: an in vitro comparison between virtual histology by intravascular ultrasonography, 7T MRI, and histopathologic findings.

S Majidi1, J Sein, M Watanabe, A E Hassan, P-F Van de Moortele, M F K Suri, H B Clark, A I Qureshi.   

Abstract

BACKGROUND AND
PURPOSE: Atherosclerotic plaque composition and structure contribute to the risk of plaque rupture and embolization. Virtual histology by intravascular ultrasonography and high-resolution MR imaging are new imaging modalities that have been used to characterize plaque morphology and composition in peripheral arteries.
MATERIALS AND METHODS: The objectives of this study were 1) to determine the correlation between virtual histology-intravascular ultrasonography and histopathologic analysis (reference standard) and 2) to explore the comparative results of 7T MR imaging (versus histopathologic analysis), both to be performed in vitro by use of intracranial arterial segments with atherosclerotic plaques. Thirty sets of postmortem samples of intracranial circulation were prepared for the study. These samples included the middle cerebral artery (n = 20), basilar artery (n = 8), and anterior cerebral artery (n = 2). Virtual histology-intravascular ultrasonography and 7T MR imaging were performed in 34 and 10 points of interest, respectively. The formalin-fixed arteries underwent tissue processing and hematoxylin-eosin staining. The plaques were independently categorized according to revised Stary classification after review of plaque morphology and characteristics obtained from 3 modalities. The proportion of fibrous, fibrofatty, attenuated calcium, and necrotic components in the plaques were determined in histology slides and compared with virtual histology-intravascular ultrasonography and MR imaging.
RESULTS: Of 34 points of interest in the vessels, 32 had atherosclerotic plaques under direct visualization. Plaques were visualized in gray-scale intravascular ultrasonography as increased wall thickness, outer wall irregularity, and protrusion. The positive predictive value of virtual histology-intravascular ultrasonography for identifying fibroatheroma was 80%. Overall, virtual histology-intravascular ultrasonography accurately diagnosed the type of the plaque in 25 of 34 samples, and κ agreement was 0.58 (moderate agreement). The sensitivity and specificity of virtual histology-intravascular ultrasonography readings for fibroatheroma were 78.9% and 73.3%, respectively. The overall sensitivity and specificity for virtual histology-intravascular ultrasonography were 73.5% and 96.6%, respectively. Plaques were identified in 7T MR imaging as increased wall thickness, luminal stenosis, or outer wall protrusion. The positive predictive value of 7T MR imaging for detecting fibrous and attenuated calcium deposits was 88% and 93%, respectively.
CONCLUSIONS: This in vitro study demonstrated that virtual histology-intravascular ultrasonography and high-resolution MR imaging are reliable imaging tools to detect atherosclerotic plaques within the intracranial arterial wall, though both imaging modalities have some limitations in accurate characterization of the plaque components. Further clinical studies are needed to determine the clinical utility of plaque morphology and composition assessment by noninvasive tests.

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Year:  2013        PMID: 23811977      PMCID: PMC7965209          DOI: 10.3174/ajnr.A3631

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


  32 in total

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Authors:  C Yuan; L M Mitsumori; K W Beach; K R Maravilla
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2.  Virtual histology: does it add anything?

Authors:  Gaku Nakazawa; Aloke V Finn; Renu Virmani
Journal:  Heart       Date:  2007-08       Impact factor: 5.994

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Journal:  Magn Reson Med       Date:  2008-03       Impact factor: 4.668

4.  Virtual histology-intravascular ultrasound in assessment of carotid plaques: ex vivo study.

Authors:  Tomohito Hishikawa; Koji Iihara; Hatsue Ishibashi-Ueda; Kazuyuki Nagatsuka; Naoaki Yamada; Susumu Miyamoto
Journal:  Neurosurgery       Date:  2009-07       Impact factor: 4.654

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Journal:  Heart       Date:  1999-09       Impact factor: 5.994

6.  The ABCs of accurate volumetric measurement of cerebral hematoma.

Authors:  Afshin A Divani; Shahram Majidi; Xianghua Luo; Fotis G Souslian; Jie Zhang; Aviva Abosch; Ramachandra P Tummala
Journal:  Stroke       Date:  2011-05-12       Impact factor: 7.914

7.  Elastic elements in the media and adventitia of human intracranial extracerebral arteries.

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Journal:  Stroke       Date:  1980 Jul-Aug       Impact factor: 7.914

Review 8.  Intravascular ultrasound: principles and cerebrovascular applications.

Authors:  H Zacharatos; A E Hassan; A I Qureshi
Journal:  AJNR Am J Neuroradiol       Date:  2010-02-04       Impact factor: 3.825

Review 9.  Intracranial atherosclerotic disease: an update.

Authors:  Adnan I Qureshi; Edward Feldmann; Camilo R Gomez; S Claiborne Johnston; Scott E Kasner; Donald C Quick; Peter A Rasmussen; M Fareed K Suri; Robert A Taylor; Osama O Zaidat
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10.  Identification of coronary plaque sub-types using virtual histology intravascular ultrasound is affected by inter-observer variability and differences in plaque definitions.

Authors:  Daniel R Obaid; Patrick A Calvert; Duncan McNab; Nick E J West; Martin R Bennett
Journal:  Circ Cardiovasc Imaging       Date:  2011-11-22       Impact factor: 7.792

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  25 in total

1.  Classification of Covert Brain Infarct Subtype and Risk of Death and Vascular Events.

Authors:  Jose Gutierrez; Andrea Gil-Guevara; Srinath Ramaswamy; Janet DeRosa; Marco R Di Tullio; Ken Cheung; Tatjana Rundek; Ralph L Sacco; Clinton B Wright; Mitchell S V Elkind
Journal:  Stroke       Date:  2019-11-26       Impact factor: 7.914

2.  Imaging the intracranial atherosclerotic vessel wall using 7T MRI: initial comparison with histopathology.

Authors:  A G van der Kolk; J J M Zwanenburg; N P Denswil; A Vink; W G M Spliet; M J A P Daemen; F Visser; D W J Klomp; P R Luijten; J Hendrikse
Journal:  AJNR Am J Neuroradiol       Date:  2014-12-04       Impact factor: 3.825

3.  A pathological perspective on the natural history of cerebral atherosclerosis.

Authors:  Jose Gutierrez; Mitchell S V Elkind; Renu Virmani; James Goldman; Lawrence Honig; Susan Morgello; Randolph S Marshall
Journal:  Int J Stroke       Date:  2015-04-08       Impact factor: 5.266

Review 4.  Emerging Use of Ultra-High-Field 7T MRI in the Study of Intracranial Vascularity: State of the Field and Future Directions.

Authors:  J W Rutland; B N Delman; C M Gill; C Zhu; R K Shrivastava; P Balchandani
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-26       Impact factor: 3.825

Review 5.  Evaluating intracranial atherosclerosis rather than intracranial stenosis.

Authors:  Xinyi Leng; Ka Sing Wong; David S Liebeskind
Journal:  Stroke       Date:  2014-01-07       Impact factor: 7.914

6.  Utility of intracranial high-resolution vessel wall magnetic resonance imaging in differentiating intracranial vasculopathic diseases causing ischemic stroke.

Authors:  Praveen Kesav; Balamurali Krishnavadana; Chandrasekharan Kesavadas; Sapna E Sreedharan; Adhithyan Rajendran; Sajith Sukumaran; P N Sylaja
Journal:  Neuroradiology       Date:  2019-01-14       Impact factor: 2.804

7.  Etiology of intracranial stenosis in young patients: a high-resolution magnetic resonance imaging study.

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Journal:  Ann Transl Med       Date:  2017-08

Review 8.  Pathological Characteristics.

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Journal:  Front Neurol Neurosci       Date:  2016-12-02

Review 9.  High-resolution intracranial vessel wall imaging: imaging beyond the lumen.

Authors:  Matthew D Alexander; Chun Yuan; Aaron Rutman; David L Tirschwell; Gerald Palagallo; Dheeraj Gandhi; Laligam N Sekhar; Mahmud Mossa-Basha
Journal:  J Neurol Neurosurg Psychiatry       Date:  2016-01-08       Impact factor: 10.154

10.  Ex-vivo imaging and plaque type classification of intracranial atherosclerotic plaque using high resolution MRI.

Authors:  Yuanliang Jiang; Chengcheng Zhu; Wenjia Peng; Andrew J Degnan; Luguang Chen; Xinrui Wang; Qi Liu; Yang Wang; Zhenzhen Xiang; Zhongzhao Teng; David Saloner; Jianping Lu
Journal:  Atherosclerosis       Date:  2016-03-30       Impact factor: 5.162

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