Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Other Publications
    • ajnr

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
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • 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

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

Research ArticleBRAIN

Diffusion-Weighted MR Imaging in Acute Ischemia: Value of Apparent Diffusion Coefficient and Signal Intensity Thresholds in Predicting Tissue at Risk and Final Infarct Size

Dong Gyu Na, Vincent N. Thijs, Gregory W. Albers, Michael E. Moseley and Michael P. Marks
American Journal of Neuroradiology September 2004, 25 (8) 1331-1336;
Dong Gyu Na
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vincent N. Thijs
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gregory W. Albers
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael E. Moseley
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael P. Marks
  • 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

Article Figures & Data

Figures

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

    Initial DW image and ADC maps at 4.5 hours and follow-up T2-weighted image at 7 days after symptom onset in a patient with acute left MCA infarction. Initial DW image lesion, or ROIDW image CORE (red ROI), was smaller than the final infarct, or ROIFINAL (blue ROI). Initial hyperintense lesion in the left insula is not obvious on the follow-up T2-weighted image at this level. Infarct growth volume was 6.1 cm3 (initial DW image volume, 27.9 cm3; final volume, 34.1 cm3). Quantitative DW images and ADC maps show color-coded regions of infarct growth not identified on initial maps and were generated by using pixel-based cutoff values of ADC ratio of 0.79 and signal intensity ratio of 1.19. Color-coded signals are also seen in the unaffected areas on quantitative DW image or ADC map by using these thresholds and were ignored in the analysis.

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

    Histograms of pixel values for ADC ratio (left) and signal intensity ratio (right). Histogram for ADC ratio shows a leftward shift of the curve in ROIIG (B) compared with the curve for normal tissue, or ROICONTIG (C). There is further a leftward shift of ADC ratios in ROIDW image CORE (A) compared with that in infarct growth (B). Histogram of signal intensity ratio shows similar patterns (with a rightward shift). Pixel values for infarct growth and normal tissue significantly overlap. The overlap was greater with the ADC ratio than with the signal intensity ratio.

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

    Pixel-based ROC curves for ADC, ADC ratio, and signal intensity ratio differentiate infarct growth and final infarct from normal tissue. Areas under the curves for signal intensity ratio were largest in predicting infarct growth (0.705) and final infarct (0.841), and the area under the curve for ADC ratio was slightly larger than that for the absolute ADC value in predicting infarct growth (0.609 vs 0.567) and final infarct (0.760 vs 0.743). Curves did not show that these three values were highly accurate in differentiating infarct growth from normal tissue; each parameter is worse than in the prediction of final infarct. Curves did show that the signal intensity ratio was better than the ADC or ADC ratio for predicting infarct growth or final infarct.

Tables

  • Figures
    • View popup
    TABLE 1:

    ROI- and pixel-based ADC and signal intensity values in each ROI

    ValueROIDWICORE (n = 54)ROIIG (n = 64)ROIFINAL (n = 73)Mirror ROIDWIROICONTIGROICONTINF
    Mean ROI
        ADC (10−3 mm2/s)0.56 ± 0.110.71 ± 0.110.63 ± 0.110.82 ± 0.130.81 ± 0.100.81 ± 0.09
        ADC ratio0.67 ± 0.120.88 ± 0.100.77 ± 0.131.00 ± 0.070.99 ± 0.051.00 ± 0.06
        Signal intensity278.11 ± 126.49195.20 ± 84.20235.88 ± 109.89164.39 ± 71.94167.07 ± 69.00165.93 ± 67.41
        Signal intensity ratio1.72 ± 0.241.17 ± 0.121.42 ± 0.271.02 ± 0.071.00 ± 0.061.00 ± 0.06
    Pixel
        ADC (10−3 mm2/s)0.52 ± 0.230.70 ± 0.220.60 ± 0.250.80 ± 0.210.78 ± 0.200.79 ± 0.18
        ADC ratio0.63 ± 0.280.89 ± 0.270.74 ± 0.300.99 ± 0.190.99 ± 0.230.99 ± 0.21
        Signal intensity271.53 ± 115.39175.09 ± 64.74222.45 ± 105.96153.19 ± 58.32156.27 ± 55.28153.25 ± 60.69
        Signal intensity ratio1.79 ± 0.361.14 ± 0.241.46 ± 0.451.00 ± 0.211.00 ± 0.281.00 ± 0.16
    • Note.—Values are the mean ± SD. ROICONTIG indicates the mirror ROI of the infarct growth lesion; ROICONTINF, mirror ROI of the final infarct. Ratios were determined as the mean signal intensity or ADC values for ROIDWICORE, ROIIG, or ROIFINAL or for ROICONTIG or ROICONTINF divided by the mean value of the ROI in the affected vascular territory in the contralateral hemisphere.

    • View popup
    TABLE 2:

    Cutoff values for predicting infarct growth and final infarct

    Comparison and ValueCutoff ValueSensitivitySpecificityAccuracy
    Infarct growth vs normal
        ADC
            Mean ROI value0.7561.179.670.4
            Pixel value0.7050.167.558.8
        ADC ratio
            Mean ROI value0.9670.483.376.9
            Pixel value0.8544.974.859.9
        Signal intensity ratio
            Mean ROI value1.0685.290.788.0
            Pixel value1.1254.580.367.4
    Final infarct vs normal
        ADC
            Mean ROI value0.7484.984.784.8
            Pixel value0.6560.280.070.1
        ADC ratio
            Mean ROI value0.9386.393.189.7
            Pixel value0.7958.486.372.4
        Signal intensity ratio
            Mean ROI value1.1090.493.191.8
            Pixel value1.1968.791.079.9
    • View popup
    TABLE 3:

    Correlations of lesion volumes between initial lesion and final infarct and between mismatch and lesion growth

    MeasureLesion Volume (cm3)Ratio of Lesion Volume*Initial Lesion vs FinalInfarctMismatch vs Lesion Growth†
    Correlation‡P ValueCorrelation‡P value
    DWI37.57 ± 39.830.60 ± 0.270.929<.001NANA
    Quantitative ADC map by ADC ratio threshold
        Mean ROI cutoff value of 0.9369.57 ± 51.611.37 ± 0.700.911<.0010.483.111
        Pixel cutoff value of 0.7945.57 ± 39.620.79 ± 0.310.922<.0010.117.716
    Quantitative DWI by signal intensity ratio threshold
        Mean ROI cutoff value of 1.1085.23 ± 65.171.72 ± 1.040.929<.0010.666.018
        Pixel cutoff value of 1.1963.54 ± 57.241.14 ± 0.580.930<.0010.652.022
    • * Ratio of lesion volumes on DW images and on quantitative DW images or ADC maps to the final infarct volume of 70.09 ± 65.19 cm3.

    • † NA indicates not applicable. Mismatch is the difference in lesion volume between the initial qualitative DW image and the quantitative DW image or ADC map.

    • ‡ Pearson correlation coefficient.

PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 25 (8)
American Journal of Neuroradiology
Vol. 25, Issue 8
1 Sep 2004
  • Table of Contents
  • Index by author
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.
Diffusion-Weighted MR Imaging in Acute Ischemia: Value of Apparent Diffusion Coefficient and Signal Intensity Thresholds in Predicting Tissue at Risk and Final Infarct Size
(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
Dong Gyu Na, Vincent N. Thijs, Gregory W. Albers, Michael E. Moseley, Michael P. Marks
Diffusion-Weighted MR Imaging in Acute Ischemia: Value of Apparent Diffusion Coefficient and Signal Intensity Thresholds in Predicting Tissue at Risk and Final Infarct Size
American Journal of Neuroradiology Sep 2004, 25 (8) 1331-1336;

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
Diffusion-Weighted MR Imaging in Acute Ischemia: Value of Apparent Diffusion Coefficient and Signal Intensity Thresholds in Predicting Tissue at Risk and Final Infarct Size
Dong Gyu Na, Vincent N. Thijs, Gregory W. Albers, Michael E. Moseley, Michael P. Marks
American Journal of Neuroradiology Sep 2004, 25 (8) 1331-1336;
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Conclusion
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Regional Distribution of Brain Injury After Cardiac Arrest: Clinical and Electrographic Correlates
  • Regional distribution of anoxic brain injury after cardiac arrest: clinical and electrographic correlates
  • Diffusion-Weighted Magnetic Resonance Imaging May Underestimate Acute Ischemic Lesions: Cautions on Neglecting a Computed Tomography-Diffusion-Weighted Imaging Discrepancy
  • Hyperglycemia and the Fate of Apparent Diffusion Coefficient-Defined Ischemic Penumbra
  • Imaging Evaluation of Acute Ischemic Stroke
  • Diffusion-weighted MRI in acute stroke within the first 6 hours: 1.5 or 3.0 Tesla?
  • MR diffusion and perfusion parameters: relationship to metabolites in acute ischaemic stroke
  • Does Diffusion-Weighted Imaging Represent the Ischemic Core? An Evidence-Based Systematic Review
  • Associations Between Diffusion and Perfusion Parameters, N-Acetyl Aspartate, and Lactate in Acute Ischemic Stroke
  • 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

  • Fast Contrast-Enhanced 4D MRA and 4D Flow MRI Using Constrained Reconstruction (HYPRFlow): Potential Applications for Brain Arteriovenous Malformations
  • Quiet PROPELLER MRI Techniques Match the Quality of Conventional PROPELLER Brain Imaging Techniques
  • Predictors of Reperfusion in Patients with Acute Ischemic Stroke
Show more Brain

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editors Choice
  • Fellow Journal Club
  • Letters to the Editor

Cases

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

Special Collections

  • Special Collections

Resources

  • News and Updates
  • Turn around Times
  • Submit a Manuscript
  • Author Policies
  • Manuscript Submission Guidelines
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Submit a Case
  • Become a Reviewer/Academy of Reviewers
  • Get Peer Review Credit from Publons

Multimedia

  • AJNR Podcast
  • AJNR SCANtastic
  • Video Articles

About Us

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

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