Evidence map›Paper›PMID 21842339›Full record

ReviewMolecular imaging and biology2012

Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Giampaolo Tomasi, Federico Turkheimer, Eric Aboagye

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. On the partial volume effect in magnetic particle imaging.Physics in medicine and biology · 2025
    Article
  7. Article
  8. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  9. Application of Dynamic [Molecular imaging and biology · 2024
    Article
  10. Determining the optimal pharmacokinetic modelling and simplified quantification method of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  11. Feasibility of direct brainAsia Oceania journal of nuclear medicine & biology · 2024
    Article
  12. Review
  13. Article
  14. Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Inter-pass motion correction for whole-body dynamic PET and parametric imaging.IEEE transactions on radiation and plasma medical sciences · 2023
    Article
  19. Article
  20. Article

3 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

3 authors.

Giampaolo TomasiComprehensive Cancer Imaging Center, Imperial College, Hammersmith Hospital London, London W120NN, UK.
Federico Turkheimer
Eric Aboagye

Funding

Cancer Research UK 10337Medical Research Council MC_U120081322
6 · The paper itself

Abstract

In oncology, positron emission tomography (PET) is an important tool for tumour diagnosis and staging, assessment of response to treatment and evaluation of the pharmacokinetic properties and efficacy of new drugs. Despite its quantitative potential, however, in daily clinical practice PET is used almost exclusively with 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) and, in addition, [(18)F]FDG data are normally assessed visually or using simple indices as the standardised uptake value (SUV). After explaining why more sophisticated quantification methods can be useful in oncology, the paper reviews the approaches that are commonly used and those available but not routinely employed. Particular emphasis is addressed to the SUV, for its importance in clinical practice. Issues specific to PET quantification in oncology and related examples are then discussed. Finally, some ideas for the development of new quantitative methods for analysing PET data in oncology and for the application of approaches already existing but not commonly employed are presented.

Indexed as

Statistics as TopicFeasibility StudiesHumansMedical OncologyPositron-Emission TomographyPractice Patterns, Physicians'

Identifiers

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.