Evidence map›Paper›PMID 26338178›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2016

Multiparametric imaging of patient and tumour heterogeneity in non-small-cell lung cancer: quantification of tumour hypoxia, metabolism and perfusion.

Wouter van Elmpt, Catharina M L Zegers, Bart Reymen, Aniek J G Even, Anne-Marie C Dingemans, Michel Oellers, Joachim E Wildberger, Felix M Mottaghy, Marco Das, Esther G C Troost and 1 more

2 registry-linked trialsAbstract readClinical Trial
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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.

NCT01024829 naunknown statusnot on this map

Dose Escalation by Boosting Radiation Dose Within the Primary Tumor on the Basis of a Pre-treatment FDG-PET-CT Scan in Stage IB, II and III NSCLC: a Randomized Phase II Trial

TypeinterventionalSponsorThe Netherlands Cancer InstituteRan2010 to 2022Enrolled150ConditionsNSCLCArmsRadiotherapy
NCT01210378 phase2terminatednot on this map

Nitroglycerin as a Sensitizer in the Treatment of Non Small Cell Lung Cancer: a Phase II Trial

TypeinterventionalSponsorMaastricht Radiation OncologyRan2011 to 2017Enrolled47ConditionsNon Small Cell Lung Cancer (NSCLC)ArmsNitroglycerin patch
3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

  1. Prospective Evaluation of a Tumor Control Probability Model Based on DynamicJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Trial
  2. Trial
  3. Trial
  4. Article
  5. Combined perfusion and metabolic imaging of small cell lung cancer with dual-isotope LAFOV-PET.European journal of nuclear medicine and molecular imaging · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Hypoxia A Typical Target in Human Lung Cancer Therapy.Current protein & peptide science · 2024
    Review
  17. Article
  18. Review
  19. Article
  20. Clinical translation of hyperpolarizedMagnetic resonance in medicine · 2022
    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.

Wouter van ElmptDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands. wouter.vanelmpt@maastro.nl.
Catharina M L ZegersDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Bart ReymenDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Aniek J G EvenDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Anne-Marie C DingemansDepartment of Pulmonology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Michel OellersDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Joachim E WildbergerDepartment of Radiology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Felix M MottaghyDepartment of Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Marco DasDepartment of Radiology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Esther G C TroostDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Philippe LambinDepartment of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultiple imaging techniques are nowadays available for clinical in-vivo visualization of tumour biology. FDG PET/CT identifies increased tumour metabolism, hypoxia PET visualizes tumour oxygenation and dynamic contrast-enhanced (DCE) CT characterizes vasculature and morphology. We explored the relationships among these biological features in patients with non-small-cell lung cancer (NSCLC) at both the patient level and the tumour subvolume level.

methodsA group of 14 NSCLC patients from two ongoing clinical trials (NCT01024829 and NCT01210378) were scanned using FDG PET/CT, HX4 PET/CT and DCE CT prior to chemoradiotherapy. Standardized uptake values (SUV) in the primary tumour were calculated for the FDG and hypoxia HX4 PET/CT scans. For hypoxia imaging, the hypoxic volume, fraction and tumour-to-blood ratio (TBR) were also defined. Blood flow and blood volume were obtained from DCE CT imaging. A tumour subvolume analysis was used to quantify the spatial overlap between subvolumes.

resultsAt the patient level, negative correlations were observed between blood flow and the hypoxia parameters (TBR >1.2): hypoxic volume (-0.65, p = 0.014), hypoxic fraction (-0.60, p = 0.025) and TBR (-0.56, p = 0.042). At the tumour subvolume level, hypoxic and metabolically active subvolumes showed an overlap of 53 ± 36 %. Overlap between hypoxic sub-volumes and those with high blood flow and blood volume was smaller: 15 ± 17 % and 28 ± 28 %, respectively. Half of the patients showed a spatial mismatch (overlap <5 %) between increased blood flow and hypoxia.

conclusionThe biological imaging features defined in NSCLC tumours showed large interpatient and intratumour variability. There was overlap between hypoxic and metabolically active subvolumes in the majority of tumours, there was spatial mismatch between regions with high blood flow and those with increased hypoxia.

Indexed as

Multimodal ImagingPositron-Emission TomographyTomography, X-Ray ComputedCarcinoma, Non-Small-Cell LungCell HypoxiaFemaleFluorodeoxyglucose F18HumansLung NeoplasmsMaleNitroimidazolesOxygenOxygen ConsumptionRadiopharmaceuticalsTriazoles3-fluoro-2-(4-((2-nitro-1H-imidazol-1-yl)methyl)-1H-1,2,3-triazol-1-yl)propan-1-olFluorodeoxyglucose F18NitroimidazolesOxygenRadiopharmaceuticalsTriazolesDCE CTFDG PETHX4Hypoxia PETImage analysisMultiparametric

Identifiers

PMID26338178
PMCPMC4700090

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Registered trials

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.