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

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

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

Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct

D. Yang, Y. Liu, Y. Han, D. Li, W. Wang, R. Li, C. Yuan and X. Zhao
American Journal of Neuroradiology April 2020, DOI: https://doi.org/10.3174/ajnr.A6498
D. Yang
aFrom the Beijing Institute of Brain Disorders (D.Y., Y.H., D.L.), Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
bDepartment of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D. Yang
Y. Liu
cDepartment of Radiology (Y.L., W.W.), The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Y. Liu
Y. Han
aFrom the Beijing Institute of Brain Disorders (D.Y., Y.H., D.L.), Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
bDepartment of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Y. Han
D. Li
aFrom the Beijing Institute of Brain Disorders (D.Y., Y.H., D.L.), Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
bDepartment of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D. Li
W. Wang
cDepartment of Radiology (Y.L., W.W.), The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for W. Wang
R. Li
bDepartment of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R. Li
C. Yuan
dDepartment of Radiology (C.Y.), University of Washington, Seattle, Washington.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Yuan
X. Zhao
bDepartment of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for X. Zhao
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • FIG 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 1.

    Flow chart of the study sample.

  • FIG 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 2.

    Boxplots of the SIR of carotid IPH on different T1-weighted MR imaging sequences in patients with and without ACI. Patients with ipsilateral ACI lesions had significantly higher SIRs of carotid IPH on T1-weighted images than those without.

  • FIG 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIG 3.

    Comparison of the SIR of carotid IPH on T1-weighted MR imaging sequences, including T1-weighted, TOF, and MPRAGE, between patients with ACI (4 images above, hyperintense on DWI as the arrow indicates) and without ACI (4 images below, no abnormality on DWI). It shows that the patient with the higher SIR on T1-weighted images had ACI lesions in the ipsilateral hemisphere.

Tables

  • Figures
    • View popup
    Table 1:

    Parameters of carotid MR vessel wall and brain imaging

    Carotid Artery ImagingBrain Imaging
    T1WIT2WITOFMPRAGEDWIaT1WI
    SequenceTSETSEFFEFFEEPIFFE
    TR (ms)8004800208.82724308
    TE (ms)10504.95.3864.6
    Flip angle90°90°20°15°90°90°
    FOV (cm2)14 × 1414 × 1414 × 1414 × 1423 × 2323 × 23
    Matrix size256 × 256256 × 256256 × 256256 × 256128 × 126400 × 256
    Slice thickness (mmb)22115.55.5
    • Note:—FFE indicates fast-field echo; TSE, turbo spin echo; EPI, echo planar imaging; TR, repetition time; TE, echo time; FOV, field of view.

    • ↵a DWI: b = 0, 1000 s/mm2.

    • ↵b Values represent the acquired slice thickness.

    • View popup
    Table 2:

    Clinical characteristics of study population

    Mean ± SD or (No.) (%)P Valuea
    Patients with ACI (n = 40)Patients without ACI (n = 69)
    Age (yr)64.2 ± 10.268.3 ± 9.5.035
    Sex, male37 (92.5)59 (85.5).366
    Body mass index (kg/m2)25.1 ± 3.624.0 ± 2.7.117
    History of smoking30 (75.0)38 (55.1).038
    History of hypertension33 (82.5)58 (84.1).833
    Systolic blood pressure (mm Hg)144.2 ± 20.9143.9 ± 21.3.840
    Diastolic blood pressure (mm Hg)85.2 ± 9.285.8 ± 14.1.720
    History of hyperlipidemia21 (52.5)39 (56.5).684
     LDL (mmol/L)2.7 ± 1.03.0 ± 1.0.182
     HDL (mmol/L)1.1 ± 0.21.1 ± 0.2.780
     TC (mmol/L)4.3 ± 1.24.7 ± 1.1.161
     TG (mmol/L)1.9 ± 1.22.0 ± 1.1.519
    History of diabetes mellitus15 (37.5)25 (36.2).895
    History of coronary heart disease11 (27.5)14 (20.3).388
    Statin use15 (37.5)25 (36.2).895
    Antihypertension medication use28 (70.0)49 (71.0).911
    TIA12 (30.0)32 (46.4).108
    Recent stroke28 (70.0)37 (53.6).108
    • Note:—LDL indicates low-density lipoprotein cholesterol; HDL, high-density lipoprotein cholesterol; TC, total cholesterol; TG, triglycerides; TIA, transient ischemia attack.

    • ↵a P values were calculated by the Mann-Whitney U test or Fisher exact test.

    • View popup
    Table 3:

    Comparison of carotid plaque morphologic and compositional characteristics between patients with and without ipsilateral ACI lesions

    Mean ± SD. (No.) (%) or Median (25–75 Percentiles)P Valuea
    Patients with ACI (n = 40)Patients without ACI (n = 69)
    Mean lumen area (mm2)35.5 ± 13.536.5 ± 12.4.555
    Mean wall area (mm2)48.3 ± 14.941.5 ± 11.1.028
    Mean total vessel area (mm2)83.8 ± 20.678.0 ± 18.6.172
    Mean wall thickness (mm)1.9 ± 0.61.6 ± 0.4.010
    Mean normalized wall index (%)57.9 ± 11.353.6 ± 9.1.087
    Total luminal occlusion21 (52.5%)11 (15.9%)<.001
    Plaque volume (mm2)1240.7 ± 535.21064.4 ± 414.1.159
    Presence of calcification33 (82.5)60 (87.0).526
    Presence of FCR14 (35.0)23 (33.3).859
    Volume of calcification (mm3)b35.8 (12.4–87.3)36.2 (15.8–79.6).794
    Percentage calcification volume (%)b3.1 (1.3–6.4)3.5 (1.9–7.7).312
    Volume of LRNC (mm3)b312.7 (174.1–625.3)227.7 (122.1–351.4).038
    Percentage LRNC volume (%)b29.4 (17.9–42.1)23.6 (14.0–34.0).039
    Volume of IPH (mm3)b93.2 (31.4–201.2)56.4 (21.9–104.9).016
    Percentage IPH volume (%)b7.9 (3.0–17.0)5.4 (2.5–10.1).074
    IPH length (mm)12.0 (4.5–17.5)10.0 (4.0–14.0).101
    • Note:—FCR indicates fibrous cap rupture.

    • ↵a P values are based on the Mann-Whitney U test or Fisher exact test between patients with and without ipsilateral ACI lesions.

    • ↵b Only patients with the corresponding component present were included in the comparison.

    • View popup
    Table 4:

    Association between signal intensity ratio of carotid IPH and the presence of ipsilateral ACI lesions

    SIRIPH-to-muscle on MR ImagePresence of ACI
    Univariate RegressionMultivariate Model 1aMultivariate Model 2aMultivariate Model 3a
    OR95% CIPbOR95% CIPbOR95% CIPbOR95% CIPb
    T1-weighted4.081.34–12.40.0133.341.08–10.31.0363.120.96–10.11.0581.570.48–5.20.458
    TOF1.980.80–4.93.1412.540.94–6.82.0652.700.90–8.13.0771.210.37–3.93.756
    MPRAGE0.860.51–1.45.5610.850.48–1.48.5570.980.53–1.79.9410.560.28–1.12.101
    • Note:—SIRIPH-to-muscle indicates the maximum signal intensity of carotid IPH/the mean signal intensity of the sternocleidomastoid muscle.

    • ↵a Multivariate model 1 was adjusted for age, sex, and history of smoking; model 2 was further adjusted using model 1 and total luminal occlusion of the carotid artery. Model 3 was further adjusted using model 1 and the volume of carotid IPH and LRNC.

    • ↵b Associations between patients with and without ipsilateral ACI lesions were assessed using the OR values.

PreviousNext
Back to top
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.
Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct
(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
D. Yang, Y. Liu, Y. Han, D. Li, W. Wang, R. Li, C. Yuan, X. Zhao
Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct
American Journal of Neuroradiology Apr 2020, DOI: 10.3174/ajnr.A6498

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
Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct
D. Yang, Y. Liu, Y. Han, D. Li, W. Wang, R. Li, C. Yuan, X. Zhao
American Journal of Neuroradiology Apr 2020, DOI: 10.3174/ajnr.A6498
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
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • MR Imaging of Carotid Artery Atherosclerosis: Updated Evidence on High-Risk Plaque Features and Emerging Trends
  • Crossref (26)
  • Google Scholar

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

  • Vessel Wall–Imaging Biomarkers of Carotid Plaque Vulnerability in Stroke Prevention Trials
    Luca Saba, Alan R. Moody, Tobias Saam, M. Eline Kooi, Bruce A. Wasserman, Daniel Staub, Aad van der Lugt, J. Kevin DeMarco, David Saloner, Max Wintermark, Ajay Gupta
    JACC: Cardiovascular Imaging 2020 13 11
  • Cervical Carotid Plaque MRI
    John C. Benson, Heidi Cheek, Marie C. Aubry, Giuseppe Lanzino, John Huston III, Alejandro Rabinstein, Waleed Brinjikji
    Clinical Neuroradiology 2021 31 2
  • Carotid Plaques From Symptomatic Patients With Mild Stenosis Is Associated With Intraplaque Hemorrhage
    Valentina Nardi, John Benson, Melanie C. Bois, Luca Saba, Anthony S. Larson, Ilke Özcan, Ali Ahmad, David W. Morse, Fredric B. Meyer, Waleed Brinjikji, Giuseppe Lanzino, Lilach O. Lerman, Luis E. Savastano, Amir Lerman
    Hypertension 2022 79 1
  • MR Imaging of Carotid Artery Atherosclerosis: Updated Evidence on High-Risk Plaque Features and Emerging Trends
    J.C. Benson, L. Saba, G. Bathla, W. Brinjikji, V. Nardi, G. Lanzino
    American Journal of Neuroradiology 2023 44 8
  • Near-infrared spectroscopy carotid plaque characteristics and cerebral embolism in carotid artery stenting
    Ichiro Nakagawa, Masashi Kotsugi, Hun Soo Park, Takanori Furuta, Fumiya Sato, Kaoru Myochin, Fumihiko Nishimura, Syuichi Yamada, Yasushi Motoyama, Hiroyuki Nakase
    EuroIntervention 2021 17 7
  • Diagnostics of atherosclerosis: Overview of the existing methods
    Anastasia V. Poznyak, Vasily N. Sukhorukov, Ilya I. Eremin, Irina I. Nadelyaeva, Alexander N. Orekhov
    Frontiers in Cardiovascular Medicine 2023 10
  • Extracranial carotid plaque hemorrhage predicts ipsilateral stroke recurrence in patients with carotid atherosclerosis – a study based on high-resolution vessel wall imaging MRI
    Fengli Che, Donghua Mi, Anxin Wang, Yi Ju, Binbin Sui, Xiaokun Geng, Xihai Zhao, Xingquan Zhao
    BMC Neurology 2022 22 1
  • Studying the Factors of Human Carotid Atherosclerotic Plaque Rupture, by Calculating Stress/Strain in the Plaque, Based on CEUS Images: A Numerical Study
    Zhenzhou Li, Yongfeng Wang, Xinyin Wu, Xin Liu, Shanshan Huang, Yi He, Shuyu Liu, Lijie Ren
    Frontiers in Neuroinformatics 2020 14
  • Influence of angioplasty and stenting on intracranial artery stenosis: preliminary results of high-resolution vessel wall imaging evaluation
    Chia-Hung Wu, Chih-Ping Chung, Ting-Yi Chen, Kai-Wei Yu, Te-Ming Lin, Wei-An Tai, Chao-Bao Luo, Feng-Chi Chang
    European Radiology 2022 32 10
  • 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