Evidence map›Paper›PMID 30109401›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2019

Region-by-region analysis of PET, MRI, and histology in en bloc-resected oligodendrogliomas reveals intra-tumoral heterogeneity.

Kenney Roy Roodakker, Ali Alhuseinalkhudhur, Mohammed Al-Jaff, Maria Georganaki, Maria Zetterling, Shala G Berntsson, Torsten Danfors, Robin Strand, Per-Henrik Edqvist, Anna Dimberg and 2 more

Open access · hybridAbstract readCase Reports
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  14. Value of PET imaging for radiation therapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021
    Review
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  18. Voxelwise and Patientwise Correlation ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  19. Frontiers in oncology · 2021
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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

12 authors at 2 institutions in 1 country.

Kenney Roy RoodakkerDepartment of Neuroscience, Neurology, Uppsala University, University Hospital, S-751 85, Uppsala, Sweden. kenney.roodakker@neuro.uu.se.ORCID http://orcid.org/0000-0003-2803-0343
Ali AlhuseinalkhudhurDepartment of Neuroscience, Neurology, Uppsala University, University Hospital, S-751 85, Uppsala, Sweden.
Mohammed Al-JaffDepartment of Information Technology, Division of Visual Information and Interaction, Uppsala University, Uppsala, Sweden.
Maria GeorganakiDepartment of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
Maria ZetterlingDepartment of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden.
Shala G BerntssonDepartment of Neuroscience, Neurology, Uppsala University, University Hospital, S-751 85, Uppsala, Sweden.
Torsten DanforsDepartment of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.
Robin StrandDepartment of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.
Per-Henrik EdqvistDepartment of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Anna DimbergDepartment of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
Elna-Marie LarssonDepartment of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.
Anja SmitsDepartment of Neuroscience, Neurology, Uppsala University, University Hospital, S-751 85, Uppsala, Sweden.
Uppsala University · SEUppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOligodendrogliomas are heterogeneous tumors in terms of imaging appearance, and a deeper understanding of the histopathological tumor characteristics in correlation to imaging parameters is needed. We used PET-to-MRI-to-histology co-registration with the aim of studying intra-tumoral

methodsConsecutive histological sections of four tumors covering the entire en bloc-removed tumor were immunostained with antibodies against IDH1-mutated protein (tumor cells), Ki67 (proliferating cells), and CD34 (blood vessels). Software was developed for anatomical landmarks-based co-registration of subsequent histological images, which were overlaid on corresponding MET PET scans and MRI perfusion maps. Regions of interest (ROIs) on PET were selected throughout the entire tumor volume, covering hot spot areas, areas adjacent to hot spots, and tumor borders with infiltrating zone. Tumor-to-normal tissue (T/N) ratios of MET uptake and mean relative cerebral blood volume (rCBV) were measured in the ROIs and protein expression of histological cell markers was quantified in corresponding regions. Statistical correlations were calculated between MET uptake, rCBV, and quantified protein expression.

resultsA total of 84 ROIs were selected in four oligodendrogliomas. A significant correlation (p < 0.05) between MET uptake and tumor cell density was demonstrated in all tumors separately. In two tumors, MET correlated with the density of proliferating cells and vessel cell density. There were no significant correlations between MET uptake and rCBV, and between rCBV and histological cell markers.

conclusionsThe MET uptake in hot spots, outside hotspots, and in infiltrating tumor edges unanimously reflects tumor cell density. The correlation between MET uptake and vessel density and density of proliferating cells is less stringent in infiltrating tumor edges and is probably more susceptible to artifacts caused by larger blood vessels surrounding the tumor. Although based on a limited number of samples, this study provides histological proof for MET as an indicator of tumor cell density and for the lack of statistically significant correlations between rCBV and histological cell markers in oligodendrogliomas.

Indexed as

Magnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyAdultFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedOligodendrogliomaTumor Burden11C-methionine PETCo-registrationPerfusion MRProliferationVascularization

Identifiers

PMID30109401
PMCPMC6351509
OpenAlexW2885380874

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.