Evidence map›Paper›PMID 28103256›Full record

ArticlePloS one2017

Tumor Infiltration in Enhancing and Non-Enhancing Parts of Glioblastoma: A Correlation with Histopathology.

Oliver Eidel, Sina Burth, Jan-Oliver Neumann, Pascal J Kieslich, Felix Sahm, Christine Jungk, Philipp Kickingereder, Sebastian Bickelhaupt, Sibu Mundiyanapurath, Philipp Bäumer and 6 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 3 pooled it
–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.

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

101 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Predicting glioblastoma progression using MR diffusion tensor imaging: A systematic review.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Pooled it
  4. Trial
  5. Intraoperative assessment of tumor margins during glioma resection by desorption electrospray ionization-mass spectrometry.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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
  12. Review
  13. Article
  14. Article
  15. Potential impact of [Radiation oncology (London, England) · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Precision Surgery for Glioblastomas.Journal of personalized medicine · 2025
    Review

41 more citing papers are in PubMed but not listed here.

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

16 authors.

Oliver EidelDepartment of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
Sina BurthDepartment of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
Jan-Oliver NeumannDepartment of Neurosurgery, Division Stereotactic Neurosurgery, University of Heidelberg Medical Center, Heidelberg, Germany.
Pascal J KieslichDepartment of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany.
Felix SahmDepartment of Neuropathology, University of Heidelberg Medical Center, Heidelberg, Germany.
Christine JungkDepartment of Neurosurgery, Division Stereotactic Neurosurgery, University of Heidelberg Medical Center, Heidelberg, Germany.
Philipp KickingerederDepartment of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
Sebastian BickelhauptDepartment of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Sibu MundiyanapurathDepartment of Neurology, University of Heidelberg Medical Center, Heidelberg, Germany.
Philipp BäumerDepartment of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Wolfgang WickDepartment of Neurology, University of Heidelberg Medical Center, Heidelberg, Germany.
Heinz-Peter SchlemmerDepartment of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Karl KieningDepartment of Neurosurgery, Division Stereotactic Neurosurgery, University of Heidelberg Medical Center, Heidelberg, Germany.
Andreas UnterbergDepartment of Neurosurgery, Division Stereotactic Neurosurgery, University of Heidelberg Medical Center, Heidelberg, Germany.
Martin BendszusDepartment of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
Alexander RadbruchDepartment of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo correlate histopathologic findings from biopsy specimens with their corresponding location within enhancing areas, non-enhancing areas and necrotic areas on contrast enhanced T1-weighted MRI scans (cT1). MATERIALS AND

methodsIn 37 patients with newly diagnosed glioblastoma who underwent stereotactic biopsy, we obtained a correlation of 561 1mm3 biopsy specimens with their corresponding position on the intraoperative cT1 image at 1.5 Tesla. Biopsy points were categorized as enhancing (CE), non-enhancing (NE) or necrotic (NEC) on cT1 and tissue samples were categorized as "viable tumor cells", "blood" or "necrotic tissue (with or without cellular component)". Cell counting was done semi-automatically.

resultsNE had the highest content of tissue categorized as viable tumor cells (89% vs. 60% in CE and 30% NEC, respectively). Besides, the average cell density for NE (3764 ± 2893 cells/mm2) was comparable to CE (3506 ± 3116 cells/mm2), while NEC had a lower cell density with 2713 ± 3239 cells/mm2. If necrotic parts and bleeds were excluded, cell density in biopsies categorized as "viable tumor tissue" decreased from the center of the tumor (NEC, 5804 ± 3480 cells/mm2) to CE (4495 ± 3209 cells/mm2) and NE (4130 ± 2817 cells/mm2). DISCUSSION: The appearance of a glioblastoma on a cT1 image (circular enhancement, central necrosis, peritumoral edema) does not correspond to its diffuse histopathological composition. Cell density is elevated in both CE and NE parts. Hence, our study suggests that NE contains considerable amounts of infiltrative tumor with a high cellularity which might be considered in resection planning.

Indexed as

AgedBrain NeoplasmsCell CountFemaleGlioblastomaHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedNecrosisNeoplasm InvasivenessNeuroimagingRetrospective StudiesStereotaxic Techniques

Identifiers

PMID28103256
PMCPMC5245878

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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.