Evidence map›Paper›PMID 24365202›Full record

ArticleRadiation oncology (London, England)2013

FDG uptake heterogeneity in FIGO IIb cervical carcinoma does not predict pelvic lymph node involvement.

Frank J Brooks, Perry W Grigsby

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Discovery of pre-therapy 2-deoxy-2-European journal of nuclear medicine and molecular imaging · 2019
    Article
  3. Article
  4. Radiomics in Oncological PET/CT: Clinical Applications.Nuclear medicine and molecular imaging · 2018
    Review
  5. Observational
  6. Article
  7. Article
  8. Characterization of PET/CT images using texture analysis: the past, the present… any future?European journal of nuclear medicine and molecular imaging · 2017
    Review
  9. Article
  10. Article
  11. 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 at 2 institutions in 2 countries.

Frank J BrooksDepartment of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Saint Louis, MO 63110, USA. fjbrooks@wustl.edu.
Perry W Grigsby
Washington University in St. Louis · USWashington University Medical Center · US

Funding

INTRA-TUMORAL METABOLIC HETEROGENEITY OF CERVICAL CANCERR01CA136931 · NCI · WASHINGTON UNIVERSITY · PI GRIGSBY, PERRY WAYNE · 2009 to 2013
$1.5M
NCI NIH HHS 1R01-CA136931-01A2
6 · The paper itself

Abstract

translational relevanceMany types of cancer are located and assessed via positron emission tomography (PET) using the 18F-fluorodeoxyglucose (FDG) radiotracer of glucose uptake. There is rapidly increasing interest in exploiting the intra-tumor heterogeneity observed in these FDG-PET images as an indicator of disease outcome. If this image heterogeneity is of genuine prognostic value, then it either correlates to known prognostic factors, such as tumor stage, or it indicates some as yet unknown tumor quality. Therefore, the first step in demonstrating the clinical usefulness of image heterogeneity is to explore the dependence of image heterogeneity metrics upon established prognostic indicators and other clinically interesting factors. If it is shown that image heterogeneity is merely a surrogate for other important tumor properties or variations in patient populations, then the theoretical value of quantified biological heterogeneity may not yet translate into the clinic given current imaging technology. PURPOSE: We explore the relation between pelvic lymph node status at diagnosis and the visually evident uptake heterogeneity often observed in 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images of cervical carcinomas. EXPERIMENTAL

designWe retrospectively studied the FDG-PET images of 47 node negative and 38 node positive patients, each having FIGO stage IIb tumors with squamous cell histology. Imaged tumors were segmented using 40% of the maximum tumor uptake as the tumor-defining threshold and then converted into sets of three-dimensional coordinates. We employed the sphericity, extent, Shannon entropy (S) and the accrued deviation from smoothest gradients (ζ) as image heterogeneity metrics. We analyze these metrics within tumor volume strata via: the Kolmogorov-Smirnov test, principal component analysis and contingency tables.

resultsWe found no statistically significant difference between the positive and negative lymph node groups for any one metric or plausible combinations thereof. Additionally, we observed that S is strongly dependent upon tumor volume and that ζ moderately correlates with mean FDG uptake.

conclusionsFDG uptake heterogeneity did not indicate patients with differing prognoses. Apparent heterogeneity differences between clinical groups may be an artifact arising from either the dependence of some image metrics upon other factors such as tumor volume or upon the underlying variations in the patient populations compared.

Indexed as

Fluorodeoxyglucose F18RadiopharmaceuticalsAdultAgedAged, 80 and overFemaleHumansImage Processing, Computer-AssistedLymphatic MetastasisLymph NodesMiddle AgedPelvisPositron-Emission TomographyPrincipal Component AnalysisPrognosisRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID24365202
PMCPMC3904206
OpenAlexW2136118420

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.