Skip to main content

Main menu

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

User menu

  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

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

Advanced Search

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

133Xe SPECT Cerebral Blood Flow Study in a Healthy Population: Determination of T-Scores

Daniel Olivier Slosman, Christian Chicherio, Catherine Ludwig, Laurence Genton, Sandrine de Ribaupierre, Didier Hans, Claude Pichard, Eugène Mayer, Jean-Marie Annoni and Anik de Ribaupierre
Journal of Nuclear Medicine June 2001, 42 (6) 864-870;
Daniel Olivier Slosman
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christian Chicherio
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Catherine Ludwig
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laurence Genton
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sandrine de Ribaupierre
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Didier Hans
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Claude Pichard
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eugène Mayer
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jean-Marie Annoni
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anik de Ribaupierre
  • 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.

    133Xe SPECT images of healthy volunteer. Results are presented as successive transaxial planes from top to bottom. Brain volume is included in 12 consecutive planes. First plane shows planar orientation (right [R], left [L], anterior [A], and posterior [P]). Last plane shows brain volume of analysis. Pixel values of regional CBF are color coded and express quantitative measurement in mL/min/100 g tissue equivalent.

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

    Linear regression of gCBF as function of age for men (M) and women (F), separately.

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

    Box plot graph of T-score (T-SC) adjusted for sex as function of age.

Tables

  • Figures
    • View popup
    TABLE 1

    Determination of gCBF Measurements per Group of Age and Sex

    SexAge classification
    YHA29–38 y39–48 y>48 y
    Men
        n16663718
        Mean ± SD46.7 ± 5.143.4 ± 4.439.9 ± 4.138.5 ± 5.3
    Women
        n142113 3
        Mean ± SD49.0 ± 5.045.6 ± 5.244.5 ± 5.536.4 ± 6.4
    • Data are gCBF in mL/min/100 g tissue.

    • View popup
    TABLE 2

    Cognitive Performance of Cohort Included in Age × Sex ANOVA

    SexMHBEducational level (y)FMTBG9TMTNINC
    MEDCORMEDCORAB
    Both
        n133167167166167167164
        Mean ± SD27.3 ± 414.7 ± 3.0753 ± 193.4*93.1 ± 4.3638 ± 150*12.9 ± 1.8*28 ± 5.3*,†25.9 ± 7.8*57.2 ± 19*20.6 ± 2.9‡
    Women
        n 38 48 48 47 48 48 48
        Mean ± SD27.12 ± 3.714.6 ± 2.8717 ± 14894.1 ± 2.5621 ± 12612.7 ± 1.829.8 ± 5.624.6 ± 6.452.3 ± 17.121.3 ± 2.45
    Men
        n 95119119119119119116
        Mean ± SD27.23 ± 3.915.0 ± 3.2763 ± 18892.6 ± 4.5637 ± 15513.1 ± 1.527.7 ± 4.626.3 ± 7.258.8 ± 18.620.6 ± 2.9
    • ↵* P < 0.05 (age as main effect tested).

    • ↵† P < 0.05 (sex as main effect tested).

    • ↵‡ P < 0.05 (age × sex interaction tested).

    • View popup
    TABLE 3

    Physical Characteristics of Cohort Included in Age × Sex ANOVA

    SexAge (y)Weight (kg)Height (cm)BMILean mass (g)Fat mass (g)% Fat
    Both
        n167166167166164164164
        Mean ± SD34.7 ± 6.673.8 ± 13.1*174.8 ± 9.1*24.0 ± 3.1*55,355 ± 9,942*16,040.9 ± 5,490.121.6 ± 5.9*,†
    Women
        n 48 48 48 48 47 47 47
        Mean ± SD35.2 ± 6.560.1 ± 7.7165.2 ± 6.222.0 ± 2.341,951 ± 3,88616,290 ± 4,03226.6 ± 4.6
    Men
        n119119119118117117117
        Mean ± SD33.4 ± 6.878.1 ± 10.5178.2 ± 7.124.6 ± 3.159,834 ± 5,90915,556 ± 5,45019.4 ± 4.8
    • ↵* P < 0.05 (sex as main effect tested).

    • ↵† P < 0.05 (age as main effect tested).

    • View popup
    TABLE 4

    Laboratory Findings of Cohort Included in Age × Sex ANOVA

    SexGlucose (4.2–6.0 mmol/L)Triglycerides (0.4–2.1 mmol/L)Total cholesterol (<6.5 mmol/L)LDL (<4 mmol/L)HDL (>0.9 mmol/L)
    Both
        n164164164164164
        Mean ± SD5.2 ± 0.4*1.2 ± 0.65.4 ± 1.1*3.5 ± 1*1.4 ± 0.3†
    Women
        n 48 48 48 48 48
        Mean ± SD5.1 ± 0.41.0 ± 0.55.2 ± 1.03.2 ± 0.81.6 ± 0.3
    Men
        n116116116116116
        Mean ± SD5.2 ± 0.41.2 ± 0.65.3 ± 1.03.5 ± 1.01.2 ± 0.2
    • ↵* P < 0.05 (age as main effect tested).

    • ↵† P < 0.05 (sex as main effect tested).

    • Reference values are in parentheses.

    • View popup
    TABLE 5

    Cognitive Performance, Physical Characteristics, and Laboratory Findings of YHA Cohort

    CategoryYHA women (n = 14)YHA men (n = 16)
    Cognitive performance
        MHB26.7 ± 3.426.5 ± 3.8
        Educational level (y)14.1 ± 2.915.8 ± 3
        F_MED701 ± 174668 ± 158
        F_COR93.3 ± 2.2792.6 ± 3.4
        MT_MED587 ± 125585 ± 149
        MT_COR13.1 ± 1.512.9 ± 2.1
        BG931.2 ± 6.630.1 ± 4.8
        TMTA22.9 ± 6.623.1 ± 5.4
        TMTB48.6 ± 19.154 ± 19.1
        NINC20.7 ± 322.1 ± 2.9
    Physical characteristics
        Age (y)25.6 ± 2.624.5 ± 3.6
        Weight (kg)59.3 ± 7.872.8 ± 10.6
        Height (cm)164.1 ± 4.3177.2 ± 6.6
        Body mass index22.0 ± 2.423.2 ± 3
        Lean mass (g)41,589 ± 4,02357,607 ± 7,147
        Fat mass (g)15,890 ± 4,68212,833 ± 4,412
        % Fat26.2 ± 5.217.2 ± 4.4
    Laboratory findings
        Glucose (mmol/L)4.9 ± 0.45.1 ± 0.4
        Triglycerides (mmol/L)0.99 ± 0.310.98 ± 0.50
        Total cholesterol (mmol/L)4.74 ± 1.144.88 ± 1.00
        LDL (mmol/L)2.781 ± 0.7503.174 ± 0.963
        HDL (mmol/L)1.663 ± 0.3411.258 ± 0.190
    • Data are mean ± SD.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 42 (6)
Journal of Nuclear Medicine
Vol. 42, Issue 6
June 1, 2001
  • Table of Contents
  • 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.

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.
133Xe SPECT Cerebral Blood Flow Study in a Healthy Population: Determination of T-Scores
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
133Xe SPECT Cerebral Blood Flow Study in a Healthy Population: Determination of T-Scores
Daniel Olivier Slosman, Christian Chicherio, Catherine Ludwig, Laurence Genton, Sandrine de Ribaupierre, Didier Hans, Claude Pichard, Eugène Mayer, Jean-Marie Annoni, Anik de Ribaupierre
Journal of Nuclear Medicine Jun 2001, 42 (6) 864-870;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
133Xe SPECT Cerebral Blood Flow Study in a Healthy Population: Determination of T-Scores
Daniel Olivier Slosman, Christian Chicherio, Catherine Ludwig, Laurence Genton, Sandrine de Ribaupierre, Didier Hans, Claude Pichard, Eugène Mayer, Jean-Marie Annoni, Anik de Ribaupierre
Journal of Nuclear Medicine Jun 2001, 42 (6) 864-870;
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
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Accuracy of Parenchymal Cerebral Blood Flow Measurements Using Pseudocontinuous Arterial Spin-Labeling in Healthy Volunteers
  • Brain-Derived Neurotrophic Factor Val66Met Polymorphism Affects Resting Regional Cerebral Blood Flow and Functional Connectivity Differentially in Women Versus Men
  • Negative neurofunctional effects of frequency, depth and environment in recreational scuba diving: the Geneva "memory dive" study
  • Google Scholar

More in this TOC Section

  • Feasibility of Ultra-Low-Activity 18F-FDG PET/CT Imaging Using a Long–Axial-Field-of-View PET/CT System
  • Cardiac Presynaptic Sympathetic Nervous Function Evaluated by Cardiac PET in Patients with Chronotropic Incompetence Without Heart Failure
  • Validation and Evaluation of a Vendor-Provided Head Motion Correction Algorithm on the uMI Panorama PET/CT System
Show more Clinical Investigations

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire