Skip to main content

Main menu

  • Home
  • Content
    • Current
      • JNMT Supplement
    • Ahead of print
    • Past Issues
    • Continuing Education
    • JNMT Podcast
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Rates
    • Journal Claims
    • Institutional and Non-member
  • Authors
    • Submit to JNMT
    • Information for Authors
    • Assignment of Copyright
    • AQARA Requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
    • Corporate & Special Sales
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNMT
    • JNM
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine Technology
  • SNMMI
    • JNMT
    • JNM
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine Technology

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • Continuing Education
    • JNMT Podcast
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Rates
    • Journal Claims
    • Institutional and Non-member
  • Authors
    • Submit to JNMT
    • Information for Authors
    • Assignment of Copyright
    • AQARA Requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
    • Corporate & Special Sales
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • Watch or Listen to JNMT Podcast
  • Visit SNMMI on Facebook
  • Join SNMMI on LinkedIn
  • Follow SNMMI on Twitter
  • Subscribe to JNMT RSS feeds
Research ArticleImaging

Evaluating the Role of Routine Prone Acquisition on Visual Evaluation of SPECT Images

Levent A. Guner, Billur Caliskan, Ilknur Isik, Tamer Aksoy, Erkan Vardareli and Afsin Parspur
Journal of Nuclear Medicine Technology December 2015, 43 (4) 282-288; DOI: https://doi.org/10.2967/jnmt.115.165936
Levent A. Guner
1Department of Nuclear Medicine, Acibadem University, Istanbul, Turkey
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Billur Caliskan
2Department of Nuclear Medicine, Bolu Abant Izzet Baysal University, Bolu, Turkey
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ilknur Isik
3Department of Nuclear Medicine, Dumlupinar University, Kutahya, Turkey; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tamer Aksoy
1Department of Nuclear Medicine, Acibadem University, Istanbul, Turkey
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erkan Vardareli
1Department of Nuclear Medicine, Acibadem University, Istanbul, Turkey
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Afsin Parspur
4Department of Cardiology, Dumlupinar University, Kutahya, Turkey
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

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

    Percentages of equivocal, probable + equivocal, and definite studies in course of evaluation: physician 1 (A), physician 2 (B), and physician 3 (C).

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

    Normalcy rates at each evaluation, showing intraobserver changes (A) and interobserver differences (B).

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

    Interobserver agreement κ values.

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

    Attributions to attenuation after prone evaluation of each segment as percentage of total number of male and female patients, for each physician (A and B physician 1; C and D physician 2; E and F physician 3, male and female patient, respectively). Numbers in parentheses are new areas evaluated as abnormal after prone evaluation. Segments showing statistically significant difference between sexes are shaded.

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

    Example case. First 6 rows show stress, rest, and stress prone short-axis images; next 3 rows show stress, rest, and stress prone vertical long-axis images. A 55-y-old woman with atypical angina, with hypertension and family history as risk factors; 109% heart rate achieved at Bruce level 2. SSS, 6; SRS, 0; prone, SSS 3. All 3 interpreters used information in prone image to reverse their decisions from probably abnormal to definitely normal, citing breast attenuation. Apical perfusion defect in prone image is possibly due to changing position of breast and example of discordant finding in supine and prone that helps detect presence attenuation. SRS = summed rest score; SSS = summed stress score.

  • FIGURE 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 6.

    Example case. First 6 rows show stress, rest, and stress prone short-axis images; next 3 rows show stress, rest, and stress prone vertical long-axis images. A 56-y-old woman with atypical angina, with hypertension and hypercholesterolemia as risk factors; 92% heart rate achieved at Bruce level 3. SSS, 3; SRS, 0; prone SSS, 6. Mid inferior wall hypoperfusion is not seen in prone image, suggesting diaphragmatic attenuation, whereas perfusion defect in apical inferior and hypoperfusion in apical lateral walls persist. Physicians changed their probably abnormal evaluations to probably normal after seeing prone data. Coronary angiography showed no significant lesions.

Tables

  • Figures
    • View popup
    TABLE 1

    Demographic Data

    CharacteristicData
    Age57.4 ± 10.8
    Sex (female)66.7% (186)
    Hypertension65.6% (183)
    Diabetes35.8% (100)
    Hypercholesterolemia52.0% (145)
    Smoking27.6% (77)
    Family history18.3% (51)
    Exercise stress test88.1% (246)
    % Heart rate achieved94.5%
    Average Bruce level3.4
    Typical chest pain6% (17)
    History of coronary artery disease11.8% (33)
    • n = 279 patients in study.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine Technology: 43 (4)
Journal of Nuclear Medicine Technology
Vol. 43, Issue 4
December 1, 2015
  • Table of Contents
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine Technology.

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.
Evaluating the Role of Routine Prone Acquisition on Visual Evaluation of SPECT Images
(Your Name) has sent you a message from Journal of Nuclear Medicine Technology
(Your Name) thought you would like to see the Journal of Nuclear Medicine Technology web site.
Citation Tools
Evaluating the Role of Routine Prone Acquisition on Visual Evaluation of SPECT Images
Levent A. Guner, Billur Caliskan, Ilknur Isik, Tamer Aksoy, Erkan Vardareli, Afsin Parspur
Journal of Nuclear Medicine Technology Dec 2015, 43 (4) 282-288; DOI: 10.2967/jnmt.115.165936

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Evaluating the Role of Routine Prone Acquisition on Visual Evaluation of SPECT Images
Levent A. Guner, Billur Caliskan, Ilknur Isik, Tamer Aksoy, Erkan Vardareli, Afsin Parspur
Journal of Nuclear Medicine Technology Dec 2015, 43 (4) 282-288; DOI: 10.2967/jnmt.115.165936
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Combined Supine-Prone Myocardial Perfusion Imaging: Enhancing Diagnostic Accuracy
  • Radiation Safety in Children With Congenital and Acquired Heart Disease: A Scientific Position Statement on Multimodality Dose Optimization From the Image Gently Alliance
  • Google Scholar

More in this TOC Section

  • Early 10-Minute Postinjection [18F]F-FAPI-42 uEXPLORER Total-Body PET/CT Scanning Protocol for Staging Lung Cancer Using HYPER Iterative Reconstruction
  • Single- Versus Dual-Time-Point Imaging for Transthyretin Cardiac Amyloid Using 99mTc-Pyrophosphate
  • Does Arthrography Improve Accuracy of SPECT/CT for Diagnosis of Aseptic Loosening in Patients with Painful Knee Arthroplasty: A Systematic Review and Metaanalysis
Show more Imaging

Similar Articles

Keywords

  • prone imaging
  • SPECT
  • myocardial perfusion
SNMMI

© 2025 SNMMI

Powered by HighWire