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 ArticleBasic Science Investigation

National Diagnostic Reference Levels for Nuclear Medicine in Qatar

Hadi Fayad, Sultan Ahmed, Alaa El khatib, Amer Ghujeh, Antar Aly, Mohammad Hassan Kharita and Huda Al-Naemi
Journal of Nuclear Medicine Technology March 2023, 51 (1) 63-67; DOI: https://doi.org/10.2967/jnmt.122.264415
Hadi Fayad
1Occupational Health and Safety Department, Hamad Medical Corporation, Doha, Qatar; and
2Weill Cornell Medicine–Qatar (WCM-Q), Doha, Qatar
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sultan Ahmed
1Occupational Health and Safety Department, Hamad Medical Corporation, Doha, Qatar; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alaa El khatib
1Occupational Health and Safety Department, Hamad Medical Corporation, Doha, Qatar; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amer Ghujeh
1Occupational Health and Safety Department, Hamad Medical Corporation, Doha, Qatar; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Antar Aly
1Occupational Health and Safety Department, Hamad Medical Corporation, Doha, Qatar; and
2Weill Cornell Medicine–Qatar (WCM-Q), Doha, Qatar
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mohammad Hassan Kharita
1Occupational Health and Safety Department, Hamad Medical Corporation, Doha, Qatar; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Huda Al-Naemi
1Occupational Health and Safety Department, Hamad Medical Corporation, Doha, Qatar; and
2Weill Cornell Medicine–Qatar (WCM-Q), Doha, Qatar
  • 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
    • Download figure
    • Open in new tab
    • Download powerpoint
  • FIGURE 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1.

    Distribution histogram showing number of patients compared with administered activities for PET 18F-FDG patients (A) and NM bone 99mTc-diphosphonate patients (B). NM = nuclear medicine.

Tables

  • Figures
    • View popup
    TABLE 1.

    PET/CT and General NM Procedures: Number of Included Studies, Median Activities (50th Percentile), and DRLs (75th Percentile)

    ProcedureAgentStudies (n)Median activity, 50th percentile (MBq)DRL, 75th percentile (MBq)
    PET oncology18F-FDG2,523228258
    PET brain18F-FDG10200202
    PET oncology18F- or 68Ga-PSMA94234260
    PET oncology18F-NaF449158187
    PET oncology68Ga-DOTATATE107135140
    NM bone99mTc-diphosphonate95703740
    NM thyroid uptake99mTc-pertechnetate457189195
    NM WB131I-NaI32185190
    NM parathyroid99mTc-MIBI118374384
    NM cardiac stress or rest99mTc-MIBI2,556925926
    NM lung99mTc-MAA8274103
    NM lymphoscintigraphy99mTc-phytate81919
    NM hepatobiliary99mTc-HIDA19185188
    NM gastric emptying99mTc-phyton521936
    NM renogram99mTc-DTPA13186189
    NM renogram99mTc-MAG3356185189
    NM renal scintigraphy99mTc-DMSA7175101
    NM sentinel node localization in breast99mTc-nanocolloid2111919
    NM cardiac99mTc-pyrophosphate22722740
    NM lung ventilation99mTc-Technegas*237499
    • ↵* Cyclomedica.

    • PSMA = prostate-specific membrane antigen; MAA = macroaggregated albumin; HIDA = hepatobiliary iminodiacetic acid; DTPA = diethylenetriaminepentaacetate; MAG3 = mercaptoacetyltriglycine; DMSA = dimercaptosuccinic acid.

    • View popup
    TABLE 2.

    Qatar DRLs for PET/CT and General NM Procedures in Comparison to Other Countries

    ProcedureAgentQatar (this study)Kuwait (10)Korea (11)Japan (12)Australia (13)U.K. (14)U.S. (15)European Union (16)
    PET oncology18F-FDG258230370240310400461–710200–400
    PET brain18F-FDG202231370240250250
    NM bone99mTc-diphosphonate740944925950920600848–1,185500–1,110
    NM thyroid uptake99mTc-pertechnetate1951852173002158075–222
    NM WB131I-NaI19020018518540090–400
    NM parathyroid99mTc-MIBI384900740800900900400–900
    NM cardiac stress or rest99mTc-MIBI9269761,1101,2001,520800945–1,402
    NM lung99mTc-MAA103217.5222260240100147–226100–296
    NM lymphoscintigraphy99mTc-phytate1940148524074–150
    NM gastric emptying99mTc-phyton3637111441231–50150–540
    NM renogram99mTc-DTPA18990555400500300407–587
    NM renogram99mTc-MAG3189370500400305100283–379100–370
    NM renal scintigraphy99mTc-DMSA10120018521020080189–28970–183
    • MIBI = methoxyisobutylisonitrile; MAA = macroaggregated albumin; DTPA = diethylenetriaminepentaacetate; MAG3 = mercaptoacetyltriglycine.

    • View popup
    TABLE 3.

    Achievable Dose (50th Percentile) and DRLs (75th Percentile) for Both CTDIvol and DLP for Different Scan Regions Including CT Imaging in PET/CT- and SPECT/CT-Based Scans

    ProtocolScan regionCTDIvol (mGy)DLP (mGy⋅cm)
    Achievable dose, 50th percentileDRL, 75th percentileAchievable dose, 50th percentileDRL, 75th percentile
    PET/CT WB1Base of skull to mid-thigh4.085.3378.1547.93
    PET/CT WB2Vertex to knees3.684.49453.6521.75
    PET/CT TBVertex to toes3.084.42540.4831.5
    SPECT/CT myocardial perfusionMid chest to lower neck3.724.2689.62103.58
    SPECT/CT WB*Thorax and abdomen4.864.86211.48211.48
    • ↵* Fixed region size.

    • View popup
    TABLE 4.

    Median Activity (50th Percentile) and DRLs (75th Percentile) for ED Calculated Using k Factor for Different Scan Regions Including CT Imaging in PET/CT- and SPECT/CT-Based Scans

    ProtocolScan regionk factor (mSv⋅mGy−1⋅cm−1)Effective dose (mSv)
    Median, 50th percentileDRL, 75th percentile
    PET/CT WB1Base of skull to mid-thigh0.00963.635.26
    PET/CT WB2Vertex to knees0.00964.355.01
    PET/CT TBVertex to toes0.00935.037.73
    SPECT/CT myocardial perfusionMid chest to lower neck0.0151.341.59
    SPECT/CT WB*Thorax and abdomen0.0153.173.17
    • ↵* Fixed region size.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine Technology: 51 (1)
Journal of Nuclear Medicine Technology
Vol. 51, Issue 1
March 1, 2023
  • Table of Contents
  • About the Cover
  • Index by author
  • Complete Issue (PDF)
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.
National Diagnostic Reference Levels for Nuclear Medicine in Qatar
(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
National Diagnostic Reference Levels for Nuclear Medicine in Qatar
Hadi Fayad, Sultan Ahmed, Alaa El khatib, Amer Ghujeh, Antar Aly, Mohammad Hassan Kharita, Huda Al-Naemi
Journal of Nuclear Medicine Technology Mar 2023, 51 (1) 63-67; DOI: 10.2967/jnmt.122.264415

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
National Diagnostic Reference Levels for Nuclear Medicine in Qatar
Hadi Fayad, Sultan Ahmed, Alaa El khatib, Amer Ghujeh, Antar Aly, Mohammad Hassan Kharita, Huda Al-Naemi
Journal of Nuclear Medicine Technology Mar 2023, 51 (1) 63-67; DOI: 10.2967/jnmt.122.264415
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Visual Abstract
    • 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...

  • Diagnostic Reference Levels in PET Imaging at Chulabhorn Hospital, Thailand
  • 2023--Looking Forward to a New Normal
  • Google Scholar

More in this TOC Section

  • Validation of Convolutional Neural Networks for Fast Determination of Whole-Body Metabolic Tumor Burden in Pediatric Lymphoma
  • Reducing Radiation Exposure from PET Patients
Show more Basic Science Investigation

Similar Articles

Keywords

  • DRLs
  • nuclear medicine
  • Qatar
  • PET/CT
  • SPECT/CT
SNMMI

© 2025 SNMMI

Powered by HighWire