Evidence map›Paper›PMID 24044795›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2013

Characterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancer.

W van Elmpt, M Das, Martin Hüllner, H Sharifi, K Zegers, B Reymen, P Lambin, J E Wildberger, E G C Troost, P Veit-Haibach and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 42 citations in OpenAlex.

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  6. Clinical translation of hyperpolarizedMagnetic resonance in medicine · 2022
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  8. Short 2-[Frontiers in medicine · 2021
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  19. Image-derived biomarkers and multimodal imaging strategies for lung cancer management.European journal of nuclear medicine and molecular imaging · 2015
    Review
  20. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2015
    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

11 authors at 2 institutions in 3 countries.

W van ElmptDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
M DasDepartment of Radiology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Martin HüllnerDepartment of Radiology, Cantonal Hospital Lucerne, Lucerne, Switzerland.
H SharifiDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
K ZegersDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
B ReymenDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
P LambinDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
J E WildbergerDepartment of Radiology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
E G C TroostDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
P Veit-Haibach *Department of Radiology, Cantonal Hospital Lucerne, Lucerne, Switzerland.
D De Ruysscher *Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Maastricht University Medical Centre · NLUniversity of Lucerne · CH

Funding

Radiomics of NSCLCU01CA143062 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GILLIES, ROBERT J., SCHABATH, MATTHEW B. · 2010 to 2020
$5.7M
NCI NIH HHS U01 CA143062
6 · The paper itself

Abstract

purposeDynamic contrast-enhanced CT (DCE-CT) quantifies vasculature properties of tumors, whereas static FDG-PET/CT defines metabolic activity. Both imaging modalities are capable of showing intra-tumor heterogeneity. We investigated differences in vasculature properties within primary non-small cell lung cancer (NSCLC) tumors measured by DCE-CT and metabolic activity from FDG-PET/CT.

methodsThirty three NSCLC patients were analyzed prior to treatment. FDG-PET/CT and DCE-CT were co-registered. The tumor was delineated and metabolic activity was segmented on the FDG-PET/CT in two regions: low (<50% maximum SUV) and high (≥50% maximum SUV) metabolic uptake. Blood flow, blood volume and permeability were calculated using a maximum slope, deconvolution algorithm and a Patlak model. Correlations were assessed between perfusion parameters for the regions of interest.

resultsDCE-CT provided additional information on vasculature and tumor heterogeneity that was not correlated to metabolic tumor activity. There was no significant difference between low and high metabolic active regions for any of the DCE-CT parameters. Furthermore, only moderate correlations between maximum SUV and DCE-CT parameters were observed.

conclusionsNo direct correlation was observed between FDG-uptake and parameters extracted from DCE-CT. DCE-CT may provide complementary information to the characterization of primary NSCLC tumors over FDG-PET/CT imaging.

Indexed as

Fluorodeoxyglucose F18RadiopharmaceuticalsCarcinoma, Non-Small-Cell LungLung NeoplasmsPositron-Emission TomographyRadiographic Image EnhancementTomography, X-Ray ComputedFluorodeoxyglucose F18RadiopharmaceuticalsDynamic contrast enhanced (DCE) CTFDG-PETImage analysisNSCLCPerfusion CT imaging

Identifiers

PMID24044795
PMCPMC4667796
OpenAlexW1966852032

What OpenQuestion holds

Textmetadata
LicenceTDM
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.