Evidence map›Paper›PMID 34504184›Full record

ArticleScientific reports2021

Simultaneous in vivo imaging with PET and SPECT tracers using a Compton-PET hybrid camera.

Mizuki Uenomachi, Miwako Takahashi, Kenji Shimazoe, Hiroyuki Takahashi, Kei Kamada, Tadashi Orita, Kenichiro Ogane, Atsushi B Tsuji

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Multiplexed imaging of radionuclides.Nature biomedical engineering · 2025
    Review
  3. Article
  4. Article
  5. International journal of stem cells · 2023
    Review
  6. Review
  7. Review
  8. Review
  9. Compton imaging for medical applications.Radiological physics and technology · 2022
    Review
  10. Article
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

8 authors at 4 institutions in 1 country.

Mizuki Uenomachi *Department of Nuclear Engineering and Management, School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan.
Miwako Takahashi *National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1, Inage, Chiba, Chiba, Japan.
Kenji Shimazoe *Department of Bioengineering, School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan. shimazoe@bioeng.t.u-tokyo.ac.jp.
Hiroyuki TakahashiInstitute of Engineering Innovation, School of Engineering, The University of Tokyo, 2-11-16, Yayoi, Bunkyo-ku, Tokyo, Japan.
Kei KamadaTohoku University, 2-1-1, Katahira, Sendai, Miyagi, Japan.
Tadashi OritaKavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, Japan.
Kenichiro OganeDepartment of Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan.
Atsushi B TsujiNational Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1, Inage, Chiba, Chiba, Japan.
The University of Tokyo · JPNational Institutes for Quantum and Radiological Science and Technology · JPInternational University of Health and Welfare · JPTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positron-emission tomography (PET) and single-photon-emission computed tomography (SPECT) are well-established nuclear-medicine imaging methods used in modern medical diagnoses. Combining PET with

Identifiers

PMID34504184
PMCPMC8429650
OpenAlexW3196957634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.