Evidence map›Paper›PMID 35307164›Full record

ReviewSeminars in nuclear medicine2022

Advances in Preclinical PET.

Stephen S Adler, Jurgen Seidel, Peter L Choyke

Abstract readReview
In one paragraph

Review in Seminars in nuclear medicine, 2022. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. (Hybrid) SPECT and PET Technologies.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  4. Article
  5. Therapeutic evaluation of [European journal of nuclear medicine and molecular imaging · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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

3 authors.

Stephen S AdlerFrederick National Laboratory for Cancer Research, Frederick, MD; Molecular Imaging Branch, National Cancer Institute, Bethesda MD.
Jurgen SeidelContractor to Frederick National Laboratory for Cancer Research, Leidos biodical Research, Inc., Frederick, MD; Molecular Imaging Branch, National Cancer Institute, Bethesda MD.
Peter L ChoykeMolecular Imaging Branch, National Cancer Institute, Bethesda MD. Electronic address: pchoyke@nih.gov.

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
Instrumentation for microSPECT and microPET imagingZIABC010668 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2025
$11.0M
Instrumentation for microSPECT and microPET imagingZ01BC010668 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$960k
Intramural NIH HHS Z01 BC010668NCI NIH HHS 75N91019D00024
6 · The paper itself

Abstract

The classical intent of PET imaging is to obtain the most accurate estimate of the amount of positron-emitting radiotracer in the smallest possible volume element located anywhere in the imaging subject at any time using the least amount of radioactivity. Reaching this goal, however, is confounded by an enormous array of interlinked technical issues that limit imaging system performance. As a result, advances in PET, human or animal, are the result of cumulative innovations across each of the component elements of PET, from data acquisition to image analysis. In the report that follows, we trace several of these advances across the imaging process with a focus on small animal PET.

Indexed as

Image Processing, Computer-AssistedPositron-Emission TomographyAnimalsHumans

Identifiers

PMID35307164
PMCPMC9038721

What OpenQuestion holds

Textmetadata
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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.