Evidence map›Paper›PMID 24722313›Full record

ArticleAJNR. American journal of neuroradiology2014

Evaluation of microvascular permeability with dynamic contrast-enhanced MRI for the differentiation of primary CNS lymphoma and glioblastoma: radiologic-pathologic correlation.

P Kickingereder, F Sahm, B Wiestler, M Roethke, S Heiland, H-P Schlemmer, W Wick, A von Deimling, M Bendszus, A Radbruch

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
9.9field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: CT vs MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  6. Article
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  8. Splenial lesions of the corpus callosum: a comprehensive study on etiology, clinical presentation, radiological features, and prognostic insights.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  9. Review
  10. Article
  11. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
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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

10 authors at 2 institutions in 1 country.

P KickingerederFrom the Departments of Neuroradiology (P.K., S.H., M.B., A.R.) philipp.kickingereder@med.uni-heidelberg.de.
F SahmNeuropathology (F.S., A.v.D.)German Cancer Consortium, Clinical Cooperation Unit Neuropathology (F.S., A.v.D.).
B WiestlerNeuro-oncology (B.W., W.W.), Neurology Clinic, University of Heidelberg Medical Center, Heidelberg, GermanyClinical Cooperation Unit Neuro-oncology (B.W., W.W.).
M RoethkeDepartment of Radiology (M.R., H.-P.S., A.R.), German Cancer Research Center, Heidelberg, Germany.
S HeilandFrom the Departments of Neuroradiology (P.K., S.H., M.B., A.R.).
H-P SchlemmerDepartment of Radiology (M.R., H.-P.S., A.R.), German Cancer Research Center, Heidelberg, Germany.
W WickNeuro-oncology (B.W., W.W.), Neurology Clinic, University of Heidelberg Medical Center, Heidelberg, GermanyClinical Cooperation Unit Neuro-oncology (B.W., W.W.).
A von DeimlingNeuropathology (F.S., A.v.D.)German Cancer Consortium, Clinical Cooperation Unit Neuropathology (F.S., A.v.D.).
M BendszusFrom the Departments of Neuroradiology (P.K., S.H., M.B., A.R.).
A RadbruchFrom the Departments of Neuroradiology (P.K., S.H., M.B., A.R.)Department of Radiology (M.R., H.-P.S., A.R.), German Cancer Research Center, Heidelberg, Germany.
Deutschen Konsortium für Translationale Krebsforschung · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDynamic contrast-enhanced MR imaging can provide in vivo assessment of the microvasculature in intracranial tumors. The aim of the present study was to evaluate the diagnostic performance of dynamic contrast-enhanced MR imaging derived vascular permeability parameters, including the volume transfer constant, the volume of extravascular extracellular space, and the flux rate constant between the extravascular extracellular space and plasma, for the differentiation of primary CNS lymphoma and glioblastoma. MATERIALS AND

methodsSixty glioblastomas and 11 primary central nervous system lymphomas were included. Pretreatment T1-weighted dynamic contrast-enhanced MR imaging with a 3D T1-weighted spoiled gradient-echo sequence was performed on a 3T MR imaging scanner. Perfusion parameters (volume transfer constant, the volume of extravascular extracellular space, and the flux rate constant) were measured on the basis of the Tofts-Kernmode model. The Mann-Whitney U test and receiver operating characteristic analysis were used to compare those parameters between primary central nervous system lymphoma and glioblastoma. Histopathologic correlation of dynamic contrast-enhanced MR imaging findings was performed by using reticulin staining and CD31 immunohistochemistry.

resultsMedian volume transfer constant and flux rate constant values were significantly higher in primary central nervous system lymphoma (0.145 ± 0.057 and 0.396 ± 0.088) than in glioblastoma (0.064 ± 0.021 and 0.230 ± 0.058) (P < .001, respectively). Median volume of extravascular extracellular space values did not differ significantly between primary central nervous system lymphoma (0.434 ± 0.165) and glioblastoma (0.319 ± 0.107). On receiver operating characteristic analysis, volume transfer constant had the best discriminative value for differentiating primary central nervous system lymphoma and glioblastoma (threshold, 0.093; sensitivity, 90.9%; specificity, 95.0%). Histopathologic evaluation revealed intact vascular integrity in glioblastoma despite endothelial proliferation, whereas primary central nervous system lymphoma demonstrated destroyed vessel architecture, thereby promoting vascular disintegrity.

conclusionsPrimary central nervous system lymphoma demonstrated significantly higher volume transfer constant and flux rate constant values compared with glioblastoma, implying a higher vascular permeability in primary central nervous system lymphoma. These findings confirm initial observations from perfusion CT and dynamic contrast-enhanced MR imaging studies, correlating with underlying histopathologic features, and may be useful in distinguishing primary central nervous system lymphoma from glioblastoma.

Indexed as

Brain NeoplasmsCapillary PermeabilityContrast MediaDiagnosis, DifferentialGlioblastomaHumansLymphomaMagnetic Resonance ImagingROC CurveSensitivity and SpecificityStatistics, NonparametricContrast Media

Identifiers

PMID24722313
PMCPMC7964431
OpenAlexW2113464779

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.