Evidence map›Paper›PMID 30733314›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2019

First Human Imaging Studies with the EXPLORER Total-Body PET Scanner.

Ramsey D Badawi, Hongcheng Shi, Pengcheng Hu, Shuguang Chen, Tianyi Xu, Patricia M Price, Yu Ding, Benjamin A Spencer, Lorenzo Nardo, Weiping Liu and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 345 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
345citing papers in PubMed, 2 pooled it
64.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

345 citing papers in PubMed, 2 syntheses or guidelines pooled it, 707 citations in OpenAlex.

  1. Pooled it
  2. Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies.European journal of nuclear medicine and molecular imaging · 2023
    Pooled it
  3. Trial
  4. An artificial intelligence-driven image quality assessment system for whole-body [European journal of nuclear medicine and molecular imaging · 2023
    Trial
  5. Review
  6. Review
  7. Article
  8. Coronary artery disease imaging with total-body PET.The British journal of radiology · 2026
    Review
  9. Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising.IEEE transactions on radiation and plasma medical sciences · 2026
    Article
  10. Review
  11. Article
  12. Cardiovascular imaging with total-body PET.The British journal of radiology · 2026
    Review
  13. First Images on a Next-Generation Extended-Field-of-View Digital Bismuth Germanium Oxide Total-Body PET/CT.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

285 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 3 countries.

Ramsey D BadawiDepartment of Radiology, University of California Davis Medical Center, Sacramento, California rdbadawi@ucdavis.edu shi.hongcheng@zs-hospital.sh.cn.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Pengcheng HuDepartment of Nuclear Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Shuguang ChenDepartment of Nuclear Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Tianyi XuUnited Imaging Healthcare, Shanghai, China; and.
Patricia M PriceDepartment of Surgery and Cancer, Imperial College, London, United Kingdom.
Yu DingUnited Imaging Healthcare, Shanghai, China; and.
Benjamin A SpencerDepartment of Radiology, University of California Davis Medical Center, Sacramento, California.
Lorenzo NardoDepartment of Radiology, University of California Davis Medical Center, Sacramento, California.
Weiping LiuUnited Imaging Healthcare, Shanghai, China; and.
Jun BaoUnited Imaging Healthcare, Shanghai, China; and.
Terry JonesDepartment of Radiology, University of California Davis Medical Center, Sacramento, California.
Hongdi LiUnited Imaging Healthcare, Shanghai, China; and.
Simon R CherryDepartment of Radiology, University of California Davis Medical Center, Sacramento, California.
United Imaging Healthcare (China) · CNUniversity of California Davis Medical Center · USFudan University · CNImperial College London · GBThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CN

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI PRIMO N. LARA · 2002 to 2026
$84.9M
EXPLORER: Changing the Molecular Imaging Paradigm with Total Body PETR01CA206187 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BADAWI, RAMSEY D., CHERRY, SIMON R · 2015 to 2019
$15.5M
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA206187
6 · The paper itself

Abstract

Within the EXPLORER Consortium, the construction of the world's first total-body PET/CT scanner has recently been completed. The 194-cm axial field of view of the EXPLORER PET/CT scanner is sufficient to cover, for the first time, the entire human adult body in a single acquisition in more than 99% of the population and allows total-body pharmacokinetic studies with frame durations as short as 1 s. The large increase in sensitivity arising from total-body coverage as well as increased solid angle for detection at any point within the body allows whole-body

Indexed as

Equipment DesignFemaleHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyQuality ControlRadiation DosageTime FactorsWhole Body ImagingEXPLORERFDGinstrumentationPETPET/CTtotal-body PET

Identifiers

PMID30733314
PMCPMC6424228
OpenAlexW2914020168

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.