Evidence map›Paper›PMID 25815854›Full record

ReviewCancer journal (Sudbury, Mass.)

Imaging tumor metabolism using positron emission tomography.

David Y Lewis, Dmitry Soloviev, Kevin M Brindle

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Preclinical PET, PET/CT, and PET/MRI.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. UltrasensitiveAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Review
  10. Noninvasive Stratification of Colon Cancer by Multiplex PET Imaging.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. PET Use in Cancer Diagnosis, Treatment, and Prognosis.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

David Y LewisFrom the Cancer Research UK-Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom.
Dmitry Soloviev
Kevin M Brindle

Funding

Cancer Research UK 16465Cancer Research UK 17242Cancer Research UK A10176Cancer Research UK A16465Cancer Research UK A17242
6 · The paper itself

Abstract

Positron emission tomography (PET) is an extraordinarily sensitive clinical imaging modality for interrogating tumor metabolism. Radiolabeled PET substrates can be traced at subphysiological concentrations, allowing noninvasive imaging of metabolism and intratumoral heterogeneity in systems ranging from advanced cancer models to patients in the clinic. There are a wide range of novel and more established PET radiotracers, which can be used to investigate various aspects of the tumor, including carbohydrate, amino acid, and fatty acid metabolism. In this review, we briefly discuss the more established metabolic tracers and describe recent work on the development of new tracers. Some of the unanswered questions in tumor metabolism are considered alongside new technical developments, such as combined PET/magnetic resonance imaging scanners, which could provide new imaging solutions to some of the outstanding diagnostic challenges facing modern cancer medicine.

Indexed as

Energy MetabolismPositron-Emission TomographyAmino AcidsAnimalsCarbohydrate MetabolismDiagnostic ImagingFatty AcidsHumansMetabolic Networks and PathwaysNeoplasmsRadiopharmaceuticalsAmino AcidsFatty AcidsRadiopharmaceuticals

Identifiers

PMID25815854
PMCPMC4413031

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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.