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 ArticleBrain

Perfusion CT in Acute Ischemic Stroke: A Qualitative and Quantitative Comparison of Deconvolution and Maximum Slope Approach

B. Abels, E. Klotz, B.F. Tomandl, S.P. Kloska and M.M. Lell
American Journal of Neuroradiology October 2010, 31 (9) 1690-1698; DOI: https://doi.org/10.3174/ajnr.A2151
B. Abels
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
E. Klotz
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
B.F. Tomandl
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S.P. Kloska
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M.M. Lell
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • 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.

    Overview of the qualitative results of 42 examinations. Detailed information on the quality aspects is provided by the diagrams on the right.

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

    Color maps of a 63-year-old man with right middle cerebral artery infarction. CBFDC and CBVDC as well as CBFMS and CBVMS color maps are of high quality. The ischemic lesion is more clearly delineated on TTD and TTP maps compared with MTT. TTD provides the highest contrast of all temporal parameter maps.

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

    Examinations with lower source-data quality. CBFMS and CBVMS maps are of reduced quality (category II, see rectangles). Whereas TTP and MTT quality is markedly reduced, TTD quality is good. The case was still considered to be interpretable with both DC and MS.

  • Fig 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 4.

    Box-and-whisker and Bland-Altman plots demonstrate that rCBFDC is ≤rCBFMS in suspected penumbra (TAR) regions of interest and rCBVDC is ≥rCBVMS in suspected core (NVT) regions of interest. While there is no slope (no significant relationship between method difference and size of measurement) for CBF, for CBV, there is a positive slope in all regions of interest (proportional difference).

  • Fig 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 5.

    Comparison of PCT lesion sizes (DC versus MS). All units are in cubic centimeters. Scatterplots show excellent agreement: NVTDC = 1.03 × NVTMS (R2 = 0.998), TARDC = 1.02 × TARMS (R2 = 0.989), and (NVTDC + TARDC) = 1.03 × (NVTMS + TARMS) (R2 = 0.997). On the lower right, screenshots of 2 cases are shown as examples. Red indicates NVT; yellow, TAR.

Tables

  • Figures
    • View popup
    Table 1:

    Results of the qualitative analysisa

    CBFDCCBFMSCBVDCCBVMSMTTTTDTTP
    Quality score (mean + SD)6.2 ± 1.35.9 ± 1.86.3 ± 1.16.0 ± 1.23.4 ± 2.17.0 ± 1.15.8 ± 1.2
    • a The average score is on a scale from 0 to 8 points.

    • View popup
    Table 2:

    Results of the quantitative analysis

    ROIaGMWMSuspected PenumbraSuspected Core
    AbsoluteAbsoluteRelativeAbsoluteRelativeAbsolute
    CBFDC(mL/100 g/min)65 ± 4.730 ± 2.7.48 ± .1129 ± 6.6.21 ± .0812 ± 4.2
    CBFMS (mL/100 g/min)61 ± 2.429 ± 1.7.59 ± .1232 ± 6.2.18 ± .089 ± 4.0
    Relative difference DC-MS+6%b+5%b−.11b−12%b+.03b+24%b
    Bland-Altman plot slopeYescYescNoNoNoNo
    Potentially relevant differences5%5%17%7%10%10%
    CBVDC (mL/100 g)3.5 ± .21.9 ± .2.92 ± .162.9 ± .6.37 ± .151.1 ± .44
    CBVMS (mL/100 g)3.6 ± .21.9 ± .1.80 ± .112.6 ± .3.30 ± .12.9 ± 0.35
    Relative difference DC-MS−4%b−2%+.12b+11%b+.17b+20%b
    Bland-Altman plot slopeYescYescYescYescYescYesc
    Potentially relevant differences7%5%26%12%12%14%
    MTT3.3 ± .3s4.0 ± .6s2.3 ± .677.6 ± 2.2s2.1 ± .666.9 ± 2.1s
    TTD3.7 ± .6s4.8 ± 1.0s2.9 ± .8710.6 ± 3.1s3.7 ± 1.013.1 ± 3.5s
    TTP8.1 ± 2.4s9.3 ± 2.5s1.7 ± .3313.4 ± 3.3s1.8 ± .3714.2 ± 3.7s
    • a ROI values are mean ± SD.

    • b Statistically significant difference of DC and MS medians (Wilcoxon signed rank test, P < .05).

    • c Statistically significant relationship of the method difference (DC − MS) versus the size of the measurement (DC + MS)/2 (Wilcoxon test, P < .05). “Yes” indicates a proportional difference; “no” indicates a systematic nonproportional or random difference.

    • View popup
    Table 3:

    Results of PCT lesion scoresa

    ScoreNVTDCNVTMSNVTDC + TARDCNVTMS + TARMS
    Mean ± SD [interquartile range]7.6 ± 1.9 [7.0–9.0]7.6 ± 1.9 [7.0–9.0]6.0 ± 2.1 [4.0–7.9]6.0 ± 2.2 [4.0–7.5]
    • a Scores for 1 brain section in orientation to ASPECTS (minimum = 0, maximum = 10).

PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 31 (9)
American Journal of Neuroradiology
Vol. 31, Issue 9
1 Oct 2010
  • 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.
Perfusion CT in Acute Ischemic Stroke: A Qualitative and Quantitative Comparison of Deconvolution and Maximum Slope Approach
(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
B. Abels, E. Klotz, B.F. Tomandl, S.P. Kloska, M.M. Lell
Perfusion CT in Acute Ischemic Stroke: A Qualitative and Quantitative Comparison of Deconvolution and Maximum Slope Approach
American Journal of Neuroradiology Oct 2010, 31 (9) 1690-1698; DOI: 10.3174/ajnr.A2151

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
Perfusion CT in Acute Ischemic Stroke: A Qualitative and Quantitative Comparison of Deconvolution and Maximum Slope Approach
B. Abels, E. Klotz, B.F. Tomandl, S.P. Kloska, M.M. Lell
American Journal of Neuroradiology Oct 2010, 31 (9) 1690-1698; DOI: 10.3174/ajnr.A2151
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...

  • What is the impact of head movement on automated CT perfusion mismatch evaluation in acute ischemic stroke?
  • Hemodynamic forces tune the arrest, adhesion and extravasation of circulating tumor cells
  • Computed Tomographic Perfusion Predicts Poor Outcomes in a Randomized Trial of Endovascular Therapy
  • The feasibility of low-concentration contrast and low tube voltage in computed tomography perfusion imaging: an animal study
  • Whole-brain Volume Perfusion Computed Tomography: Acquisition Techniques and Radiation Dose
  • Comparison of Perfusion CT Software to Predict the Final Infarct Volume After Thrombectomy
  • Perfusion Deficits and Mismatch in Patients with Acute Lacunar Infarcts Studied with Whole-Brain CT Perfusion
  • Vertebral Artery Hypoplasia: Frequency and Effect on Cerebellar Blood Flow Characteristics
  • Prognostic Evaluation Based on Cortical Vein Score Difference in Stroke
  • Comments on an Article by Kamalian et al
  • CT Perfusion in Acute Ischemic Stroke: A Comparison of 2-Second and 1-Second Temporal Resolution
  • Crossref (89)
  • Google Scholar

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

  • Hemodynamic Forces Tune the Arrest, Adhesion, and Extravasation of Circulating Tumor Cells
    Gautier Follain, Naël Osmani, Ana Sofia Azevedo, Guillaume Allio, Luc Mercier, Matthia A. Karreman, Gergely Solecki, Marìa Jesùs Garcia Leòn, Olivier Lefebvre, Nina Fekonja, Claudia Hille, Vincent Chabannes, Guillaume Dollé, Thibaut Metivet, François Der Hovsepian, Christophe Prudhomme, Angélique Pichot, Nicodème Paul, Raphaël Carapito, Siamak Bahram, Bernhard Ruthensteiner, André Kemmling, Susanne Siemonsen, Tanja Schneider, Jens Fiehler, Markus Glatzel, Frank Winkler, Yannick Schwab, Klaus Pantel, Sébastien Harlepp, Jacky G. Goetz
    Developmental Cell 2018 45 1
  • Comparison of Perfusion CT Software to Predict the Final Infarct Volume After Thrombectomy
    Friederike Austein, Christian Riedel, Tina Kerby, Johannes Meyne, Andreas Binder, Thomas Lindner, Monika Huhndorf, Fritz Wodarg, Olav Jansen
    Stroke 2016 47 9
  • Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography
    K. A. Miles, T.-Y. Lee, V. Goh, E. Klotz, C. Cuenod, S. Bisdas, A. M. Groves, M. P. Hayball, R. Alonzi, T. Brunner
    European Radiology 2012 22 7
  • Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details
    Andreas Fieselmann, Markus Kowarschik, Arundhuti Ganguly, Joachim Hornegger, Rebecca Fahrig
    International Journal of Biomedical Imaging 2011 2011
  • Time-resolved assessment of collateral flow using 4D CT angiography in large-vessel occlusion stroke
    Andreas M. J. Frölich, Sarah Lena Wolff, Marios N. Psychogios, Ernst Klotz, Ramona Schramm, Katrin Wasser, Michael Knauth, Peter Schramm
    European Radiology 2014 24 2
  • Computed tomography–based quantification of lesion water uptake identifies patients within 4.5 hours of stroke onset: A multicenter observational study
    Jens Minnerup, Gabriel Broocks, Judith Kalkoffen, Soenke Langner, Michael Knauth, Marios Nikos Psychogios, Heike Wersching, Anja Teuber, Walter Heindel, Bernd Eckert, Heinz Wiendl, Peter Schramm, Jens Fiehler, André Kemmling
    Annals of Neurology 2016 80 6
  • Vertebral Artery Hypoplasia
    Kolja M. Thierfelder, Alena B. Baumann, Wieland H. Sommer, Marco Armbruster, Christian Opherk, Hendrik Janssen, Maximilian F. Reiser, Andreas Straube, Louisa von Baumgarten
    Stroke 2014 45 5
  • Bayesian Hemodynamic Parameter Estimation by Bolus Tracking Perfusion Weighted Imaging
    T. Boutelier, K. Kudo, F. Pautot, M. Sasaki
    IEEE Transactions on Medical Imaging 2012 31 7
  • Diagnostic Accuracy of CT Perfusion Imaging for Detecting Acute Ischemic Stroke: A Systematic Review and Meta-Analysis
    J.M. Biesbroek, J.M. Niesten, J.W. Dankbaar, G.J. Biessels, B.K. Velthuis, J.B. Reitsma, I.C. van der Schaaf
    Cerebrovascular Diseases 2013 35 6
  • Perfusion CT and acute stroke imaging: Foundations, applications, and literature review
    Joseph Donahue, Max Wintermark
    Journal of Neuroradiology 2015 42 1

More in this TOC Section

  • SWI or T2*: Which MRI Sequence to Use in the Detection of Cerebral Microbleeds? The Karolinska Imaging Dementia Study
  • Progression of Microstructural Damage in Spinocerebellar Ataxia Type 2: A Longitudinal DTI Study
  • Statin Therapy Does Not Affect the Radiographic and Clinical Profile of Patients with TIA and Minor Stroke
Show more BRAIN

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

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