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
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • 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
Research ArticleClinical Investigation
Open Access

Feasibility of Acquisitions Using Total-Body PET/CT with an Ultra-Low 18F-FDG Activity

Yan Hu, Guobing Liu, Haojun Yu, Ying Wang, Chenwei Li, Hui Tan, Shuguang Chen, Jianying Gu and Hongcheng Shi
Journal of Nuclear Medicine June 2022, 63 (6) 959-965; DOI: https://doi.org/10.2967/jnumed.121.262038
Yan Hu
1Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;
2Nuclear Medicine Institute of Fudan University, Shanghai, China;
3Shanghai Institute of Medical Imaging, Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Guobing Liu
1Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;
2Nuclear Medicine Institute of Fudan University, Shanghai, China;
3Shanghai Institute of Medical Imaging, Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Haojun Yu
1Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;
2Nuclear Medicine Institute of Fudan University, Shanghai, China;
3Shanghai Institute of Medical Imaging, Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ying Wang
4United Imaging Healthcare Co., Ltd., Shanghai, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chenwei Li
4United Imaging Healthcare Co., Ltd., Shanghai, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hui Tan
1Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;
2Nuclear Medicine Institute of Fudan University, Shanghai, China;
3Shanghai Institute of Medical Imaging, Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shuguang Chen
1Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;
2Nuclear Medicine Institute of Fudan University, Shanghai, China;
3Shanghai Institute of Medical Imaging, Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jianying Gu
5Department of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hongcheng Shi
1Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;
2Nuclear Medicine Institute of Fudan University, Shanghai, China;
3Shanghai Institute of Medical Imaging, Shanghai, China;
  • 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.

    PET images of 63-y-old man with esophagus cancer. Coronal slice of whole body (A), transverse view of intense uptake of lesions in esophagus (B), and transverse view of liver (C) are shown in G1, G2, G4, G8, G10, and G15 reconstructions. More superior image quality of liver was observed in G8 than in G1 and G2 on visual assessment.

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

    Box plot of lesion SUVmax (A), liver SUVmax (B), TBR (C), liver SUVmean (D), liver SD (E), and SNR (F). Lesion SUVmax, TBR, and SNR increased with extension of acquisition time, whereas liver SUVmax, liver SUVmean, and SD decreased. Compared with G15, no significant differences for these parameters were found in G8 and G10. *P < 0.05. ns = not significant.

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

    PET images of 63-y-old man with CRC reconstructed in G8 and another 63-y-old man with CRC reconstructed in g2 (A, coronal slice of the whole body; B, transverse view of CRC lesion [arrow]; C, transverse image of liver). Image quality in G8 was comparable to that in g2, which meets standard for clinical diagnosis.

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

    Bar graph of values of subjective image quality score (A) and objective parameters (B) between G8 and g2. Comparable result of qualitative and quantitative analysis was shown between the 2 groups. ns = not significant.

Tables

  • Figures
    • View popup
    TABLE 1.

    Demographics of Patients in Ultra-Low-Activity Group

    VariableDataset
    Sex*
     Men20
     Women10
    Age (y)†66.1 ± 8.44 (48.00–77.00)
    Height (cm)†165.5 ± 7.25 (157.00–186.20)
    Weight (kg)†62.28 ± 10.2 (44.80–88.00)
    BMI (kg/m2)†22.73 ± 3.28 (15.76–29.75)
    Blood glucose (mmol/L)†5.75 ± 0.66 (4.80–7.00)
    Uptake time (min)†60.97 ± 5.96 (51.00–70.00)
    Injected dose (MBq)†25.53 ± 4.07 (17.76–33.67)
    Primary tumor type*
     HCC and ICC4
     CRC11
     Lung cancer1
     Pancreatic cancer3
     Esophageal cancer2
     Mediastinal sarcoma1
     Bladder cancer4
     Ovarian cancer2
     Lymphoma1
     Laryngeal cancer1
    • * Number of patients.

    • ↵†Data are presented as mean ± SD followed by range in parentheses.

    • BMI = body mass index; HCC = hepatocellular carcinoma; ICC = intrahepatic cholangiocarcinoma.

    • View popup
    TABLE 2.

    Subjective Image Quality Score in Ultra-Low-Activity Group

    Acquisition duration (min)Image quality score
    Likert scale scoreCohen κ-test result
    Reader 1*Reader 2*Intrareader agreementInterreader agreement
    11.10 ± 0.311.14 ± 0.350.898 (0.694–1.000)0.849 (0.530–1.000)
    22.07 ± 0.372.10 ± 0.410.902 (0.711–1.000)0.885 (0.674–1.000)
    43.00 ± 0.382.90 ± 0.490.895 (0.688–1.000)0.750 (0.492–1.000)
    84.07 ± 0.533.97 ± 0.630.900 (0.701–1.000)0.852 (0.638–1.000)
    104.38 ± 0.494.38 ± 0.490.921 (0.738–1.000)0.854 (0.648–1.000)
    154.62 ± 0.494.59 ± 0.500.945 (0.812–1.000)0.930 (0.790–1.000)
    • * Mean value and SD were calculated on basis of subjective scores for each patient.

    • Data in parentheses are 95% CIs.

    • View popup
    TABLE 3.

    Quantitative Image Quality in Ultra-Low-Activity Group

    Acquisition duration (min)Lesion SUVmaxLiver SUVmaxTBR
    112.44 ± 5.00*4.56 ± 0.86*2.84 ± 1.36*
    214.58 ± 6.863.80 ± 0.60*3.89 ± 1.80*
    416.95 ± 7.783.53 ± 0.524.83 ± 2.18
    818.09 ± 8.263.31 ± 0.505.53 ± 2.50
    1018.37 ± 8.063.21 ± 0.465.78 ± 2.50
    1518.96 ± 7.933.08 ± 0.426.18 ± 2.52
    • * Significant difference compared with that in G15 (P < 0.05).

    • Data are presented as mean ± SD, based on measurement in ROIs.

    • View popup
    TABLE 4.

    SUVmean, SD, and SNR of Liver

    ParameterAcquisition duration (min)
    12481015
    Liver SUVmean*2.80 ± 0.482.78 ± 0.442.77 ± 0.432.73 ± 0.382.72 ± 0.392.70 ± 0.38
    Liver SD*0.56 ± 0.19†0.38 ± 0.11†0.28 ± 0.08†0.21 ± 0.060.19 ± 0.060.18 ± 0.05
    SNR*5.41 ± 1.53†7.67 ± 1.88†10.41 ± 2.54†13.46 ± 3.1314.72 ± 3.4615.65 ± 3.64
    • * Data are presented as mean ± SD, based on measurement in ROIs.

    • ↵†Significant difference compared with that in G15 (P < 0.05).

    • View popup
    TABLE 5.

    Demographics of Patients in G8 and g2

    VariableG8g2P
    Sex*0.201
     Men77
     Women44
    Height (cm)†166.05 ± 6.48167.82 ± 10.010.627
    Weight (kg)†62.96 ± 11.8771.52 ± 18.220.208
    BMI (kg/m2)†22.75 ± 3.4625.00 ± 3.920.168
    Blood glucose (mmol/L)†5.81 ± 0.615.31 ± 0.530.054
    Uptake time (min)†62.91 ± 5.5058.00 ± 5.570.051
    Injected dose (MBq)†24.79 ± 4.44271.21 ± 61.42<0.001‡
    Pathologic*1.000
     WMDA1010
     HGIN11
    • * Number of patients.

    • ↵†Data are presented as mean ± SD, based on data from each subject.

    • ↵‡Significant difference between G8 and g2 (P < 0.001).

    • BMI = body mass index; WMDA = well-to-moderately differentiated adenocarcinoma; HGIN = high-grade intraepithelial neoplasia.

    • View popup
    TABLE 6.

    Qualitative Image Quality Score and Quantitative Parameters in the Ultra-Low-Activity Group and Full-Activity Group

    ParameterG8g2P
    Image quality score3.91 ± 0.303.82 ± 0.600.311
    Lesion SUVmax23.43 ± 8.6424.22 ± 12.150.863
    Liver SUVmax3.39 ± 0.543.17 ± 0.550.354
    Liver SUVmean2.78 ± 0.332.84 ± 0.470.747
    Liver SD0.21 ± 0.050.23 ± 0.080.544
    TBR7.07 ± 2.747.56 ± 3.510.738
    SNR13.77 ± 2.1413.40 ± 2.900.716
    • Data are presented as mean ± SD. Mean value and SD were calculated on basis of Likert score for each patient. Mean value and SD of other quantitative parameters were calculated on basis of measurement in ROIs.

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 63 (6)
Journal of Nuclear Medicine
Vol. 63, Issue 6
June 1, 2022
  • Table of Contents
  • Table of Contents (PDF)
  • 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.

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.
Feasibility of Acquisitions Using Total-Body PET/CT with an Ultra-Low 18F-FDG Activity
(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
Feasibility of Acquisitions Using Total-Body PET/CT with an Ultra-Low 18F-FDG Activity
Yan Hu, Guobing Liu, Haojun Yu, Ying Wang, Chenwei Li, Hui Tan, Shuguang Chen, Jianying Gu, Hongcheng Shi
Journal of Nuclear Medicine Jun 2022, 63 (6) 959-965; DOI: 10.2967/jnumed.121.262038

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Feasibility of Acquisitions Using Total-Body PET/CT with an Ultra-Low 18F-FDG Activity
Yan Hu, Guobing Liu, Haojun Yu, Ying Wang, Chenwei Li, Hui Tan, Shuguang Chen, Jianying Gu, Hongcheng Shi
Journal of Nuclear Medicine Jun 2022, 63 (6) 959-965; DOI: 10.2967/jnumed.121.262038
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...

  • Feasibility of Ultra-Low-Activity 18F-FDG PET/CT Imaging Using a Long-Axial-Field-of-View PET/CT System
  • The Role of Total-Body PET in Drug Development and Evaluation: Status and Outlook
  • Clinical Implementation of Total-Body PET in China
  • Advantages and Challenges of Total-Body PET/CT at a Tertiary Cancer Center: Insights from Sun Yat-sen University Cancer Center
  • Google Scholar

More in this TOC Section

  • SNMMI Procedure Standard/EANM Practice Guideline for Brain [18F]FDG PET Imaging, Version 2.0
  • Meeting Upcoming Clinical and Diagnostic Needs in Oncologic Imaging: A Structured Reporting System for Fibroblast-Activation-Protein–Targeted Imaging—FAP-RADS Version 1.0
  • Imaging Efficacy of [18F]CTT1057 PET for the Detection of PSMA-Positive Tumors Using Histopathology as Standard of Truth: Results from the GuideView Phase 2/3 Prospective Multicenter Study
Show more Clinical Investigation

Similar Articles

Keywords

  • ultra-low activity
  • image quality
  • total-body PET/CT
SNMMI

© 2025 SNMMI

Powered by HighWire