Evidence map›Paper›PMID 33857203›Full record

ArticlePloS one2021

Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile.

Georg Gihr, Diana Horvath-Rizea, Elena Hekeler, Oliver Ganslandt, Hans Henkes, Karl-Titus Hoffmann, Cordula Scherlach, Stefan Schob

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Georg GihrClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.ORCID 0000-0003-3631-3861
Diana Horvath-RizeaClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Elena HekelerDepartment for Pathology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Oliver GanslandtClinic for Neurosurgery, Katharinenhospital Stuttgart, Stuttgart, Germany.
Hans HenkesClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Karl-Titus HoffmannDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
Cordula ScherlachDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
Stefan SchobDepartment for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany.
Katharinenhospital · DEUniversity Hospital Leipzig · DEUniversity Hospital in Halle · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGlioblastoma and anaplastic astrocytoma represent the most commonly encountered high-grade-glioma (HGG) in adults. Although both neoplasms are very distinct entities in context of epidemiology, clinical course and prognosis, their appearance in conventional magnetic resonance imaging (MRI) is very similar. In search for additional information aiding the distinction of potentially confusable neoplasms, histogram analysis of apparent diffusion coefficient (ADC) maps recently proved to be auxiliary in a number of entities. Therefore, our present exploratory retrospective study investigated whether ADC histogram profile parameters differ significantly between anaplastic astrocytoma and glioblastoma, reflect the proliferation index Ki-67, or are associated with the prognostic relevant MGMT (methylguanine-DNA methyl-transferase) promotor methylation status.

methodsPre-surgical ADC volumes of 56 HGG patients were analyzed by histogram-profiling. Association between extracted histogram parameters and neuropathology including WHO-grade, Ki-67 expression and MGMT promotor methylation status was investigated due to comparative and correlative statistics.

resultsGrade IV gliomas were more heterogeneous than grade III tumors. More specifically, ADCmin and the lowest percentile ADCp10 were significantly lower, whereas ADCmax, ADC standard deviation and Skewness were significantly higher in the glioblastoma group. ADCmin, ADCmax, ADC standard deviation, Kurtosis and Entropy of ADC histogram were significantly correlated with Ki-67 expression. No significant difference could be revealed by comparison of ADC histogram parameters between MGMT promotor methylated and unmethylated HGG.

conclusionsADC histogram parameters differ significantly between glioblastoma and anaplastic astrocytoma and show distinct associations with the proliferative activity in both HGG. Our results suggest ADC histogram profiling as promising biomarker for differentiation of both, however, further studies with prospective multicenter design are wanted to confirm and further elaborate this hypothesis.

Indexed as

Brain NeoplasmsData Interpretation, StatisticalDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingDNA MethylationDNA Modification MethylasesDNA Repair EnzymesFemaleGlioblastomaHumansKi-67 AntigenMaleMiddle AgedTumor Suppressor ProteinsDNA Modification MethylasesDNA Repair EnzymesKi-67 AntigenMGMT protein, humanTumor Suppressor Proteins

Identifiers

PMID33857203
PMCPMC8049265
OpenAlexW3153338493

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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.