Evidence map›Paper›PMID 26090365›Full record

ReviewFrontiers in medicine2015

State-Of-The-Art and Recent Advances in Quantification for Therapeutic Follow-Up in Oncology Using PET.

Thomas Carlier, Clément Bailly

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. [Asia Oceania journal of nuclear medicine & biology · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Does simplified quantitative analysis ofJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  10. European journal of nuclear medicine and molecular imaging · 2019
    Article
  11. Review
  12. Article
  13. Towards enhanced PET quantification in clinical oncology.The British journal of radiology · 2018
    Review
  14. Radiogenomic Analysis of Oncological Data: A Technical Survey.International journal of molecular sciences · 2017
    Review
  15. Article
  16. Quantification of Lung PET Images: Challenges and Opportunities.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017
    Review
  17. Characterization of PET/CT images using texture analysis: the past, the present… any future?European journal of nuclear medicine and molecular imaging · 2017
    Review
  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

2 authors.

Thomas CarlierNuclear Medicine Department, University Hospital , Nantes , France ; CRCNA, INSERM U892, CNRS UMR 6299 , Nantes , France.
Clément BaillyNuclear Medicine Department, University Hospital , Nantes , France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(18)F-fluoro-2-deoxyglucose ((18)F-FDG) positron emission tomography (PET) is an important tool in oncology. Its use has greatly progressed from initial diagnosis to staging and patient monitoring. The information derived from (18)F-FDG-PET allowed the development of a wide range of PET quantitative analysis techniques ranging from simple semi-quantitative methods like the standardized uptake value (SUV) to "high order metrics" that require a segmentation step and additional image processing. In this review, these methods are discussed, focusing particularly on the available methodologies that can be used in clinical trials as well as their current applications in international consensus for PET interpretation in lymphoma and solid tumors.

Indexed as

follow-upnuclear medicineoncologyPETquantification

Identifiers

PMID26090365
PMCPMC4370108

What OpenQuestion holds

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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.