Evidence map›Paper›PMID 30365968›Full record

ArticleJournal of neuroscience methods2019

Evaluating cellularity and structural connectivity on whole brain slides using a custom-made digital pathology pipeline.

Thomas Roetzer, Konrad Leskovar, Nadine Peter, Julia Furtner, Martina Muck, Marco Augustin, Antonia Lichtenegger, Martha Nowosielski, Johannes A Hainfellner, Bernhard Baumann and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Estimating Local Cellular Density in Glioma Using MR Imaging Data.AJNR. American journal of neuroradiology · 2021
    Article
  6. Article
  7. Neurophotonics · 2020
    Article
  8. Article
  9. Review
  10. 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 1 country.

Thomas RoetzerInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Konrad LeskovarCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Nadine PeterInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Julia FurtnerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Martina MuckInstitute of Neurology, Medical University of Vienna, Vienna, Austria; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Marco AugustinCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Antonia LichteneggerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Martha NowosielskiDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Johannes A HainfellnerInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Bernhard BaumannCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria. Electronic address: thomas.roetzer@meduniwien.ac.at.
Adelheid WoehrerInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATInnsbruck Medical University · AT

Funding

Austrian Science Fund FWF KLI 394
6 · The paper itself

Abstract

aimsIn brain research, the histopathological examination of coronar whole-brain slides provides important insights into spatial disease characteristics. Regarding brain tumor research, this enables visualization of tumor heterogeneity, infiltration patterns and the relationship with the surrounding brain parenchyma. The precise correlation between radiological imaging and post-mortem brains is of special interest. NEW

methodWe developed a wide-field slide scanner, comprising a microscope, a high-precision remotely controllable x-y-stage, a camera and a computer workstation, for automatically scanning uncommonly large formats. We analyzed whole brain slides of three patients and constructed cellularity heatmaps and fiber tract maps using a custom-made image processing pipeline.

resultsThe obtained cellularity heatmaps allow for distinguishing compact tumor (5714 ± 1786 cells/mm², mean ± standard deviation) from white matter (3581 ± 828 cells/mm²) and grey matter (2473 ± 716 cells/mm²). Compared to magnetic resonance imaging, the proposed histopathological work-up (i) reveals a larger zone of tumor infiltration around the compact tumor areas and (ii) shows how pre-existing tracts are displaced by the tumor bulk. Moreover, we highlight differences in the histological tumor growth pattern of two different radiological progression subtypes. COMPARISON WITH EXISTING METHOD(S): Compared to existing (commercial) solutions, our slide scanning solution is adaptable and cost-efficient. Moreover, we showcase potential clinical applications by mapping whole brain histology to magnetic resonance imaging.

conclusionsWe herein provide instructions on how to (i) construct a custom-built slide scanner capable of scanning arbitrary slide formats, (ii) automatically evaluate the cell density and (iii) perform fiber tracking on whole brain slides.

Indexed as

AgedBrainBrain NeoplasmsChildFemaleGlioblastomaHumansImage Processing, Computer-AssistedMaleMicroscopyMiddle AgedNeural PathwaysWhite MatterAutopsyDigital pathologyGliomaHistological techniquesNeuropathology

Identifiers

PMID30365968
PMCPMC6269083
OpenAlexW2898164286

What OpenQuestion holds

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LicenceCC BY
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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.