Evidence map›Paper›PMID 16180030›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2006

Blood flow-metabolic relationships are dependent on tumour size in non-small cell lung cancer: a study using quantitative contrast-enhanced computer tomography and positron emission tomography.

K A Miles, M R Griffiths, C J Keith

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 89 citations in OpenAlex.

  1. ¹⁸F-FDG PET and biomarkers for tumour angiogenesis in early breast cancer.European journal of nuclear medicine and molecular imaging · 2011
    Trial
  2. Article
  3. Article
  4. EJNMMI research · 2020
    Article
  5. Article
  6. Cavity Formation is a Prognostic Indicator for Pathologic Stage I Invasive Lung Adenocarcinoma of ≥3 cm in Size.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Image-derived biomarkers and multimodal imaging strategies for lung cancer management.European journal of nuclear medicine and molecular imaging · 2015
    Review
  13. Functional imaging in lung cancer.Clinical physiology and functional imaging · 2014
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Characterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2013
    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 at 3 institutions in 2 countries.

K A MilesDivision of Clinical and Laboratory Sciences, Brighton & Sussex Medical School, University of Sussex, Brighton, BN7 3PB, UK. k.a.miles@bsms.ac.uk
M R Griffiths
C J Keith
Brighton and Sussex Medical School · GBQueensland University of Technology · AUWesley Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to undertake dual assessment of tumour blood flow and glucose metabolism in non-small cell lung cancer (NSCLC) using contrast-enhanced computed tomography (CE-CT) and (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) in order to assess how the relationships between these parameters vary with tumour size and stage.

methodsTumour blood flow and glucose metabolism were assessed in 18 NSCLCs using quantitative CE-CT and FDG-PET respectively. Contrast enhancement and FDG uptake were both normalised to injected dose and patient weight to yield correspondingly the standardised perfusion value (SPV) and standardised uptake value (SUV). Tumour area was measured from conventional CT images.

resultsThe ratio of SUV to SVP and the metabolic-flow difference (SUV-SVP) correlated with tumour size (r=0.56, p=0.015 and r=0.60 and p=0.008 respectively). A metabolic-flow difference of greater than 4 was more common amongst tumours of stages III and IV (odds ratio 10.5; 95% confidence limits 0.24-32.1). A significant correlation between SUV and SPV was found only for tumours smaller than 4.5 cm2 (r=0.85, p=0.03).

conclusionBlood flow-metabolic relationships are not consistent in NSCLC but depend upon tumour size and stage. Quantitative CE-CT as an adjunct to an FDG study undertaken using integrated PET-CT offers an efficient way to augment the assessment of tumour biology with possible future application as part of clinical care.

Indexed as

Blood Flow VelocityContrast MediaFemaleFluorodeoxyglucose F18GlucoseHumansImage Interpretation, Computer-AssistedLung NeoplasmsMaleMiddle AgedNeovascularization, PathologicPositron-Emission TomographyRadiopharmaceuticalsReproducibility of ResultsSensitivity and SpecificitySeverity of Illness IndexContrast MediaFluorodeoxyglucose F18GlucoseRadiopharmaceuticals

Identifiers

PMID16180030
OpenAlexW2044766084

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.