Evidence map›Paper›PMID 24926986›Full record

ArticlePloS one2014

Correlation of intra-tumor 18F-FDG uptake heterogeneity indices with perfusion CT derived parameters in colorectal cancer.

Florent Tixier, Ashley M Groves, Vicky Goh, Mathieu Hatt, Pierre Ingrand, Catherine Cheze Le Rest, Dimitris Visvikis

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.6field-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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
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  7. Article
  8. Article
  9. Metabolic Imaging Phenotype Using Radiomics of [Molecular imaging and biology · 2019
    Article
  10. Article
  11. Investigating multi-radiomic models for enhancing prediction power of cervical cancer treatment outcomes.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Characterization of PET/CT images using texture analysis: the past, the present… any future?European journal of nuclear medicine and molecular imaging · 2017
    Review
  16. [European journal of hybrid imaging · 2017
    Article
  17. Value ofThe British journal of radiology · 2016
    Article
  18. Applications and limitations of radiomics.Physics in medicine and biology · 2016
    Review
  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

7 authors at 5 institutions in 2 countries.

Florent TixierINSERM, UMR1101, LaTIM, CHRU Morvan, Brest, France.
Ashley M GrovesInstitute of Nuclear Medicine, UCL, Euston Road, London, United Kingdom.
Vicky GohDivision of Imaging Sciences and Biomedical Engineering, Kings College London, St Thomas Hospital, London, United Kingdom.
Mathieu HattINSERM, UMR1101, LaTIM, CHRU Morvan, Brest, France.
Pierre IngrandEpidemiology & Biostatistics, CIC Inserm 1402, CHU Milétrie, Poitiers, France.
Catherine Cheze Le RestDepartment of Nuclear Medicine, CHU Miletrie, Poitiers, France.
Dimitris VisvikisINSERM, UMR1101, LaTIM, CHRU Morvan, Brest, France.
Inserm · FRLaboratoire de Génétique Cellulaire · FRLaboratoire de Traitement de l'Information Médicale · FRSt Thomas' Hospital · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsThirty patients with proven colorectal cancer prospectively underwent integrated 18F-FDG PET/DCE-CT to assess the metabolic-flow phenotype. Both CT blood flow parametric maps and PET images were analyzed. Correlations between PET heterogeneity and perfusion CT were assessed by Spearman's rank correlation analysis.

resultsBlood flow visualization provided by DCE-CT images was significantly correlated with 18F-FDG PET metabolically active tumor volume as well as with uptake heterogeneity for patients with stage III/IV tumors (|ρ|:0.66 to 0.78; p-value<0.02).

conclusionThe positive correlation found with tumor blood flow indicates that intra-tumor heterogeneity of 18F-FDG PET accumulation reflects to some extent tracer distribution and consequently indicates that 18F-FDG PET intra-tumor heterogeneity may be associated with physiological processes such as tumor vascularization.

Indexed as

Fluorodeoxyglucose F18RadiopharmaceuticalsColorectal NeoplasmsFemaleGenetic HeterogeneityHumansMalePositron-Emission TomographyProspective StudiesRadiographic Image EnhancementTomography, X-Ray ComputedTumor BurdenFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID24926986
PMCPMC4057188
OpenAlexW2157591475

What OpenQuestion holds

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LicenceCC BY
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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.