Evidence map›Paper›PMID 26186719›Full record

ArticlePloS one2015

Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis.

Stephan Metz, Carl Ganter, Sylvie Lorenzen, Sandra van Marwick, Konstantin Holzapfel, Ken Herrmann, Ernst J Rummeny, Hans-Jürgen Wester, Markus Schwaiger, Stephan G Nekolla and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.9field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Quantitative [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
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  5. Article
  6. Voxel-Based Analysis of the Relation of 3'-Deoxy-3'-[Molecular imaging and biology · 2022
    Article
  7. Article
  8. EJNMMI research · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. The promise of multiparametric imaging in oncology: how do we move forward?European journal of nuclear medicine and molecular imaging · 2016
    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 1 institution in 1 country.

Stephan MetzDepartment of Radiology of the Technische Universitaet Muenchen, Munich, Germany.
Carl GanterDepartment of Radiology of the Technische Universitaet Muenchen, Munich, Germany.
Sylvie LorenzenDepartment of Hemato-Oncology of the Technische Universitaet Muenchen, Munich, Germany.
Sandra van MarwickDepartments of Nuclear Medicine of the Technische Universitaet Muenchen, Munich, Germany.
Konstantin HolzapfelDepartment of Radiology of the Technische Universitaet Muenchen, Munich, Germany.
Ken HerrmannDepartments of Nuclear Medicine of the Technische Universitaet Muenchen, Munich, Germany.
Ernst J RummenyDepartment of Radiology of the Technische Universitaet Muenchen, Munich, Germany.
Hans-Jürgen WesterDepartments of Nuclear Medicine of the Technische Universitaet Muenchen, Munich, Germany; Institute for Radiopharmaceutical Chemistry, Technische Universitaet Muenchen, Garching, Germany.
Markus SchwaigerDepartments of Nuclear Medicine of the Technische Universitaet Muenchen, Munich, Germany.
Stephan G NekollaDepartments of Nuclear Medicine of the Technische Universitaet Muenchen, Munich, Germany.
Ambros J BeerDepartments of Nuclear Medicine of the Technische Universitaet Muenchen, Munich, Germany.
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiffusion-weighted magnetic resonance imaging (DW-MRI) and imaging of glucose metabolism by positron emission tomography (FDG-PET) provide quantitative information on tissue characteristics. Combining the two methods might provide novel insights into tumor heterogeneity and biology. Here, we present a solution to analyze and visualize the relationship between the apparent diffusion coefficient (ADC) and glucose metabolism on a spatially resolved voxel-by-voxel basis using dedicated quantitative software. MATERIALS AND

methodsIn 12 patients with non small cell lung cancer (NSCLC), the primary tumor or metastases were examined with DW-MRI and PET using 18F-fluorodeoxyglucose (FDG). The ADC's from DW-MRI were correlated with standardized-uptake-values on a voxel-by-voxel basis using custom made software (Anima M3P). For cluster analysis, we used prospectively defined thresholds for 18F-FDG and ADC to define tumor areas of different biological activity.

resultsCombined analysis and visualization of ADC maps and PET data was feasible in all patients. Spatial analysis showed relatively homogeneous ADC values over the entire tumor area, whereas FDG showed a decreasing uptake towards the tumor center. As expected, restricted water diffusivity was notable in areas with high glucose metabolism but was also found in areas with lower glucose metabolism. In detail, 72% of all voxels showed low ADC values (<1.5x10(-3) mm2/s) and high tracer uptake of 18F-FDG (SUV>3.6). However, 83% of the voxels with low FDG uptake also showed low ADC values, increasingly towards the tumor center.

conclusionsMultiparametric analysis and visualization of DW-MRI and FDG-PET is feasible on a spatially resolved voxel-by-voxel respectively cluster basis using dedicated imaging software. Our preliminary data suggest that water diffusivity and glucose metabolism in metastatic NSCLC are not necessarily correlated in all tumor areas.

Indexed as

Diffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedMultimodal ImagingPositron-Emission TomographyAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCluster AnalysisFemaleFluorodeoxyglucose F18GlucoseHumansLung NeoplasmsMaleMiddle AgedFluorodeoxyglucose F18Glucose

Identifiers

PMID26186719
PMCPMC4506136
OpenAlexW913555550

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.