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 ArticleSupplement

Clinical Implementation of Total-Body PET in China

Yaping Wu, Tao Sun, Yee Ling Ng, Jianjun Liu, Xiaohua Zhu, Zhaoping Cheng, Baixuan Xu, Nan Meng, Yun Zhou and Meiyun Wang
Journal of Nuclear Medicine May 2024, 65 (Supplement 1) 64S-71S; DOI: https://doi.org/10.2967/jnumed.123.266977
Yaping Wu
1Department of Medical Imaging, Henan Provincial People’s Hospital, Zhengzhou, China;
2People’s Hospital of Zhengzhou University, Zhengzhou, China;
3Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tao Sun
4Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yee Ling Ng
5Central Research Institute, United Imaging Healthcare Group Co., Ltd., Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jianjun Liu
6Department of Nuclear Medicine, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaohua Zhu
7Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zhaoping Cheng
8Department of Nuclear Medicine, First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Baixuan Xu
9Department of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nan Meng
1Department of Medical Imaging, Henan Provincial People’s Hospital, Zhengzhou, China;
2People’s Hospital of Zhengzhou University, Zhengzhou, China;
3Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yun Zhou
5Central Research Institute, United Imaging Healthcare Group Co., Ltd., Shanghai, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Meiyun Wang
1Department of Medical Imaging, Henan Provincial People’s Hospital, Zhengzhou, China;
2People’s Hospital of Zhengzhou University, Zhengzhou, China;
3Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, 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

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

    Subjective overall image quality at various acquisition times using full dose, with ringlike 18F-FDG uptake lesion in liver shown in maximum intensity projection (A–F) and axial view (G–L) for 900- to 18-s groups. Overall image scores of 5, 4, 3, 2, and 1 were assigned to 180-, 120-, 60-, 30-, and 18-s groups, respectively. (Reprinted with permission of (5).)

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

    TB PET monitoring of biodistribution and optimization of acquisition time. (A) Maximum-intensity projection images of 18F-FAPI-42 at 5, 10, 15, 20, 65, and 120 min after injection in patient 21 (female). (B) Time–activity curves of 18F-FAPI-42 at various time points after injection. (C) Tumor SUVmax–to–organ SUVmean ratios at various time points after 18F-FAPI-42 injection, excluding tumor SUVmax–to–brain SUVmean ratio. (Reprinted with permission of (24).)

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

    68Ga-HNI01 PET images in patients with colorectal cancer primary tumors. (A) Reconstructed dynamic whole-body PET/CT maximum-intensity projection (MIP) images of 68Ga-HNI01 in patient 10 (10 frames). (B) MIP images from 68Ga-HNI01 PET/CT (left) and 18F-FDG PET/CT (right) in patient 10 with abnormal intestinal activity uptake. (C) MIP images from 68Ga-HNI01 PET/CT (left) and 18F-FDG PET/CT (right) in patient 4 with normal intestinal activity uptake. (D) Time courses and fitting curves (fit spline or locally weighted scatterplot smoothing) of 68Ga-HNI01 uptake in normal tissues and tumors for 3 patients in terms of SUVmax. (E) Immunohistochemical staining for carcinoembryonic antigen in tumor samples from patients 1 and 4. A.U. = abnormal uptake; C = cecum; G.E.J. = gastroesophageal junction; K = kidney; p.i. = postinjection; T = tumor. (Reprinted with permission of (25).)

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

    Breath-hold (BH) acquisition in TB PET. Images of 59-y-old man with lung adenocarcinoma show solitary solid lung nodule in right lower lobe in axial, coronal, and sagittal chest CT (top row), PET (middle row), and PET/CT (bottom row). (A) Free-breathing (FB) PET/CT. (B) BH PET/CT. Blurred uptake area results from breathing artifacts in FB PET image. (Reprinted with permission of (45).)

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

    Subjective overall image quality at different doses. 18F-FDG PET image of 1.9-y-old male patient, weighing 10 kg with Langerhans cell histiocytosis, is reconstructed at 600, 300, 60, 40, and 20 s and depicted in maximum-intensity projection and axial views (A–E), representing full, half, one-tenth, one-fifteenth, and one-thirtieth dose, respectively. Effective doses are shown in parentheses. (Reprinted with permission of (50).)

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

    Ki images with various settings. These 16 schemes use different durations (40, 30, 20, and 16 min), input functions (image-derived input function [IDIF] and population-based input function [PBIF]), and application with or without nonlocal means (NLM) filter. Arrow indicates lesion. (Reprinted from (60).)

  • FIGURE 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 7.

    Abnormal metabolic connectivity between organs. (A–C) Metabolic connectivity plots show 2 abnormal subjects and control, with middle images displaying coronal SUV slices and side plots showing network connections between organs. Abnormal subjects demonstrated denser connectivity and higher strength at relevant nodes than did control network, marked with red arrows for SUV uptake. CER = cerebellum; Covid-19 = coronavirus disease 2019; CSF = cerebrospinal fluid; GI = gastrointestinal; LV = left ventricle; SF = frontal cortex; WM = white matter. (Reprinted from (74).)

PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 65 (Supplement 1)
Journal of Nuclear Medicine
Vol. 65, Issue Supplement 1
May 1, 2024
  • 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.
Clinical Implementation of Total-Body PET in China
(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
Clinical Implementation of Total-Body PET in China
Yaping Wu, Tao Sun, Yee Ling Ng, Jianjun Liu, Xiaohua Zhu, Zhaoping Cheng, Baixuan Xu, Nan Meng, Yun Zhou, Meiyun Wang
Journal of Nuclear Medicine May 2024, 65 (Supplement 1) 64S-71S; DOI: 10.2967/jnumed.123.266977

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Clinical Implementation of Total-Body PET in China
Yaping Wu, Tao Sun, Yee Ling Ng, Jianjun Liu, Xiaohua Zhu, Zhaoping Cheng, Baixuan Xu, Nan Meng, Yun Zhou, Meiyun Wang
Journal of Nuclear Medicine May 2024, 65 (Supplement 1) 64S-71S; DOI: 10.2967/jnumed.123.266977
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
    • CURRENT CLINICAL APPLICATIONS
    • SCAN PROTOCOL DESIGN
    • OTHER ADVANCED TOPICS
    • SUMMARY
    • DISCLOSURE
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Chinas Innovations in Nuclear Medicine: Global Insights into Clinical Advancements and Impact
  • Advancing Global Nuclear Medicine: The Role and Future Contributions of China
  • Google Scholar

More in this TOC Section

  • Pathway to Approval of Innovative Radiopharmaceuticals in China
  • Recent Advances in Radiotracers Targeting Novel Cancer-Specific Biomarkers in China: A Brief Overview
Show more Supplement

Similar Articles

Keywords

  • PET
  • total-body PET/CT
  • high-quality imaging
  • ultrafast scan
  • low dose
  • parametric imaging
SNMMI

© 2025 SNMMI

Powered by HighWire