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 ArticleORIGINAL RESEARCH

A Proposed Grading Scale Based on Radiographic Imaging for Wall Apposition to Estimate Neurological Complications after Flow Diverter Treatment

Qianqian Zhang, Qiuji Shao, Kaitao Chang, Zhiyuan Sheng, Hongyun Zhang, Yi Chen, Ying-Kun He, Tianxiao Li and Li Li
American Journal of Neuroradiology April 2025, ajnr.A8785; DOI: https://doi.org/10.3174/ajnr.A8785
Qianqian Zhang
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qiuji Shao
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kaitao Chang
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zhiyuan Sheng
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hongyun Zhang
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yi Chen
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ying-Kun He
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tianxiao Li
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Li Li
From the Cerebrovascular Department of Interventional Center, and Clinical Research Service Center, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan Province, Zhengzhou, Henan, China; Henan International Joint Laboratory of Cerebrovascular Disease, Henan Provincial Neurointerventional Engineering Research Center, Henan Engineering Research Center of Cerebrovascular Interventional Innovation, and Department of Neurosurgery Institution, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
  • Responses
  • PDF
Loading

This article requires a subscription to view the full text. If you have a subscription you may use the login form below to view the article. Access to this article can also be purchased.

ABSTRACT

BACKGROUND AND PURPOSE: The evaluation of wall apposition following flow diverter (FD) treatment remains poorly defined. This study aims to establish a radiographic grading scale for wall apposition after FD deployment and to investigate its association with FD-related neurological complications.

MATERIALS AND METHODS: This retrospective study included patients treated with the Pipeline Embolization Device (PED). A wall apposition grading scale (Grades I–IV) was developed based on radiographic imaging, incorporating anatomical location and the degree of malapposition: Grade I, perfect wall apposition; Grade II, mild malapposition; Grade III, moderate malapposition; and Grade IV, severe malapposition. Cases were categorized into two groups: complete wall apposition (Grade I) and malapposition (Grades II–IV). The association between malapposition and neurological complications was further analyzed.

RESULTS: A total of 197 PED cases were included. Incomplete wall apposition was observed in 29 cases (14.7%), while 168 cases (85.3%) demonstrated complete wall apposition (Grade I). In the malapposition group, 13 cases (6.6%) were classified as Grade II, 11 cases (5.6%) as Grade III, and 5 cases (2.5%) as Grade IV. FD-related perioperative and follow-up neurological complications occurred in 10.3% and 13.8% of the malapposition group, respectively, compared to 1.8% and 1.2% in the complete wall apposition group (P<0.05). Multivariate logistic regression analysis identified malapposition as an independent risk factor for FD-related neurological complications (P<0.05). The Cochran-Armitage test revealed a significant trend of increasing neurological complications with worsening malapposition from Grade II to IV (P<0.05).

CONCLUSIONS: The proposed grading scale is a feasible and practical tool for assessing wall apposition following FD treatment. Neurological complications are significantly more likely in cases with moderate to severe malapposition (Grades III and IV).

ABBREVIATIONS: FD = flow diverter; PED = Pipeline Embolization Device; 2D DSA = two-dimensional digital subtraction angiography; OCT = optical coherence tomography; TIA = transient ischemic attack; IQR = interquartile range.

Footnotes

  • The authors declare no conflicts of interest related to the content of this article.

  • © 2025 by American Journal of Neuroradiology

Log in using your username and password

Forgot your user name or password?

Log in through your institution

You may be able to gain access using your login credentials for your institution. Contact your library if you do not have a username and password.
PreviousNext
Back to top
Advertisement
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.
A Proposed Grading Scale Based on Radiographic Imaging for Wall Apposition to Estimate Neurological Complications after Flow Diverter Treatment
(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
Accepted Manuscript
Qianqian Zhang, Qiuji Shao, Kaitao Chang, Zhiyuan Sheng, Hongyun Zhang, Yi Chen, Ying-Kun He, Tianxiao Li, Li Li
A Proposed Grading Scale Based on Radiographic Imaging for Wall Apposition to Estimate Neurological Complications after Flow Diverter Treatment
American Journal of Neuroradiology Apr 2025, ajnr.A8785; DOI: 10.3174/ajnr.A8785

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
Accepted Manuscript
A Proposed Grading Scale Based on Radiographic Imaging for Wall Apposition to Estimate Neurological Complications after Flow Diverter Treatment
Qianqian Zhang, Qiuji Shao, Kaitao Chang, Zhiyuan Sheng, Hongyun Zhang, Yi Chen, Ying-Kun He, Tianxiao Li, Li Li
American Journal of Neuroradiology Apr 2025, ajnr.A8785; DOI: 10.3174/ajnr.A8785
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
  • Info & Metrics
  • Responses
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Association of MRI visible Perivascular Spaces with Early White Matter Injury
  • Evaluating the Role of Imaging Markers in Predicting Stroke Risk and Guiding Management After Vertebral Artery Injury: A Retrospective Study
  • CT Perfusion Map Generation from Multi-phase CT Angiography Using Generative adversarial model for Acute Ischemic Stroke
Show more ORIGINAL RESEARCH

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