Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in
  • Log out

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in
  • Log out

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleExtracranial Vascular
Open Access

Carotid Plaque Characterization Using 3D T1-Weighted MR Imaging with Histopathologic Validation: A Comparison with 2D Technique

S. Narumi, M. Sasaki, T. Natori, M. Yamaguchi Oura, K. Ogasawara, M. Kobayashi, Y. Sato, Y. Ogasawara, J. Hitomi and Y. Terayama
American Journal of Neuroradiology April 2015, 36 (4) 751-756; DOI: https://doi.org/10.3174/ajnr.A4197
S. Narumi
aFrom the Departments of Neurology and Gerontology (S.N., T.N., M.Y.O., Y.T.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Sasaki
dInstitute for Biomedical Sciences (M.S.), Iwate Medical University, Morioka, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
T. Natori
aFrom the Departments of Neurology and Gerontology (S.N., T.N., M.Y.O., Y.T.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Yamaguchi Oura
aFrom the Departments of Neurology and Gerontology (S.N., T.N., M.Y.O., Y.T.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
K. Ogasawara
bNeurosurgery (K.O., M.K., Y.S., Y.O.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Kobayashi
bNeurosurgery (K.O., M.K., Y.S., Y.O.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Y. Sato
bNeurosurgery (K.O., M.K., Y.S., Y.O.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Y. Ogasawara
bNeurosurgery (K.O., M.K., Y.S., Y.O.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J. Hitomi
cAnatomy (J.H.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Y. Terayama
aFrom the Departments of Neurology and Gerontology (S.N., T.N., M.Y.O., Y.T.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: 3D FSE T1WI has recently been used for carotid plaque imaging, given the potential advantages in contrast and spatial resolutions. However, its diagnostic performance remains unclear. Hence, we compared the ability of this technique to readily assess plaque characteristics with that of conventional images and validated the results with histologic classification.

MATERIALS AND METHODS: We prospectively examined 34 patients with carotid stenosis who underwent carotid endarterectomy by using 1.5T scanners and obtained 3D-FSE T1WI and 2D spin-echo T1WI scans. After generating reformatted images obtained from the 3D-FSE T1-weighted images, we calculated the contrast ratios for the plaques and the adjacent muscles and compared these findings with the pathologic classifications.

RESULTS: Carotid plaques were histologically classified as types VII, VIII, IV–V, or VI. With 3D-FSE T1WI, the range of contrast ratios for each classification was the following: 0.94–0.97 (median, 0.95), 0.95–1.29 (median, 1.10), 1.33–1.54 (median, 1.42), and 1.53–2.12 (median, 1.80), respectively. With 2D imaging, the range of contrast ratios for each classification was the following: 0.79–1.02 (median, 0.90), 0.88–1.19 (median, 1.01), 1.17–1.46 (median, 1.23), and 1.55–2.51 (median, 2.07), respectively. Results were significantly different among the 4 groups (P < .001). Sensitivity and specificity for discriminating vulnerable plaques (IV–VI) from stable plaques (VII, VIII) were both 100% for the 3D technique and 100% and 91%, respectively, for the 2D technique.

CONCLUSIONS: 3D-FSE T1WI accurately characterizes intraplaque components of the carotid artery, with excellent sensitivity and specificity compared with those of 2D-T1WI.

ABBREVIATIONS:

CR
contrast ratio
SE
spin-echo
  • © 2015 by American Journal of Neuroradiology

Indicates open access to non-subscribers at www.ajnr.org

View Full Text
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 36 (4)
American Journal of Neuroradiology
Vol. 36, Issue 4
1 Apr 2015
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Carotid Plaque Characterization Using 3D T1-Weighted MR Imaging with Histopathologic Validation: A Comparison with 2D Technique
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
S. Narumi, M. Sasaki, T. Natori, M. Yamaguchi Oura, K. Ogasawara, M. Kobayashi, Y. Sato, Y. Ogasawara, J. Hitomi, Y. Terayama
Carotid Plaque Characterization Using 3D T1-Weighted MR Imaging with Histopathologic Validation: A Comparison with 2D Technique
American Journal of Neuroradiology Apr 2015, 36 (4) 751-756; DOI: 10.3174/ajnr.A4197

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Carotid Plaque Characterization Using 3D T1-Weighted MR Imaging with Histopathologic Validation: A Comparison with 2D Technique
S. Narumi, M. Sasaki, T. Natori, M. Yamaguchi Oura, K. Ogasawara, M. Kobayashi, Y. Sato, Y. Ogasawara, J. Hitomi, Y. Terayama
American Journal of Neuroradiology Apr 2015, 36 (4) 751-756; DOI: 10.3174/ajnr.A4197
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Clinical Features, Radiological Findings, and Outcome in Patients with Symptomatic Mild (<50%) Carotid Stenosis: A MUSIC Study
  • Asymptomatic carotid artery stenosis: a summary of current state of evidence for revascularization and emerging high-risk features
  • Asymptomatic carotid artery stenosis: a summary of current state of evidence for revascularization and emerging high-risk features
  • Symptomatic and Asymptomatic Chronic Carotid Artery Occlusion on High-Resolution MR Vessel Wall Imaging
  • Prediction of Stroke Risk by Detection of Hemorrhage in Carotid Plaques: Meta-Analysis of Individual Patient Data
  • Crossref (22)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Prediction of Stroke Risk by Detection of Hemorrhage in Carotid Plaques
    Andreas Schindler, Regina Schinner, Nishaf Altaf, Akram A. Hosseini, Richard J. Simpson, Lorena Esposito-Bauer, Navneet Singh, Robert M. Kwee, Yoshitaka Kurosaki, Sen Yamagata, Kazumichi Yoshida, Susumu Miyamoto, Robert Maggisano, Alan R. Moody, Holger Poppert, M. Eline Kooi, Dorothee P. Auer, Leo H. Bonati, Tobias Saam
    JACC: Cardiovascular Imaging 2020 13 2
  • Asymptomatic carotid artery stenosis: a summary of current state of evidence for revascularization and emerging high-risk features
    Hyun Woo Kim, Robert W Regenhardt, Salvatore A D'Amato, Michael I Nahhas, Adam A Dmytriw, Joshua A Hirsch, Scott B Silverman, Juan Carlos Martinez-Gutierrez
    Journal of NeuroInterventional Surgery 2023 15 7
  • Shape and Location of Carotid Atherosclerotic Plaque and Intraplaque Hemorrhage: A High-resolution Magnetic Resonance Imaging Study
    Mingming Lu, Yuanyuan Cui, Peng Peng, Huiyu Qiao, Jianming Cai, Xihai Zhao
    Journal of Atherosclerosis and Thrombosis 2019 26 8
  • Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE
    Sachi Okuchi, Yasutaka Fushimi, Tomohisa Okada, Akira Yamamoto, Tsutomu Okada, Takayuki Kikuchi, Kazumichi Yoshida, Susumu Miyamoto, Kaori Togashi
    European Radiology 2019 29 8
  • Intracranial Plaque Characterization in Patients with Acute Ischemic Stroke Using Pre- and Post-Contrast Three-Dimensional Magnetic Resonance Vessel Wall Imaging
    Tatsunori Natori, Makoto Sasaki, Mitsuharu Miyoshi, Kohei Ito, Hideki Ohba, Haruna Miyazawa, Shinsuke Narumi, Hiroyuki Kabasawa, Taisuke Harada, Yasuo Terayama
    Journal of Stroke and Cerebrovascular Diseases 2016 25 6
  • Diagnostic performance of MRI for detecting intraplaque hemorrhage in the carotid arteries: a meta-analysis
    Tao Zhou, Shouqiang Jia, Xiu Wang, Bin Wang, Zhiguo Wang, Ting Wu, Ying Li, Ying Chen, Chenxiao Yang, Qingguo Li, Zhen Yang, Min Li, Gang Sun
    European Radiology 2019 29 10
  • Plaque Assessment in the Management of Patients with Asymptomatic Carotid Stenosis
    J. Kevin DeMarco, J. David Spence
    Neuroimaging Clinics of North America 2016 26 1
  • Comparison of Three-Dimensional T1-Weighted Magnetic Resonance and Contrast-Enhanced Ultrasound Plaque Images for Severe Stenosis of the Cervical Carotid Artery
    Yasuyoshi Shimada, Kohki Oikawa, Shunrou Fujiwara, Yasushi Ogasawara, Yuiko Sato, Shinsuke Narumi, Tadayoshi Kato, Kazumasa Oura, Yasuo Terayama, Makoto Sasaki, Kentaro Fujimoto, Jun Yoshida, Kuniaki Ogasawara
    Journal of Stroke and Cerebrovascular Diseases 2017 26 9
  • Symptomatic and Asymptomatic Chronic Carotid Artery Occlusion on High-Resolution MR Vessel Wall Imaging
    M. Wan, L. Yan, Z. Xu, Z. Hou, K. Kang, R. Cui, Y. Yu, J. Song, F.K. Hui, Y. Wang, Z. Miao, X. Lou, N. Ma
    American Journal of Neuroradiology 2022 43 1
  • Hemorrhagic Plaques in Mild Carotid Stenosis: The Risk of Stroke
    Max Scheffler, Alain Pellaton, José Boto, Isabelle Barnaure, Bénédicte M. Delattre, Jorge Remuinan, Roman Sztajzel, Karl-Olof Lövblad, Maria Isabel Vargas
    Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 2021 48 2

More in this TOC Section

  • Proximal Vertebral Artery Variants and Embryology
  • High-Risk Plaque Features in Carotid MRI
  • Nonstenotic Carotid Plaques and Stroke Review
Show more EXTRACRANIAL VASCULAR

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire