Evidence map›Paper›PMID 29522972›Full record

ArticleTranslational oncology2018

Whole Tumor Histogram-profiling of Diffusion-Weighted Magnetic Resonance Images Reflects Tumorbiological Features of Primary Central Nervous System Lymphoma.

Stefan Schob, Benno Münch, Julia Dieckow, Ulf Quäschling, Karl-Titus Hoffmann, Cindy Richter, Nikita Garnov, Clara Frydrychowicz, Matthias Krause, Hans-Jonas Meyer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 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

11 authors at 1 institution in 1 country.

Stefan SchobDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany. Electronic address: Stefan.Schob@Medizin.Uni-Leipzig.de.
Benno MünchDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
Julia DieckowDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
Ulf QuäschlingDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
Karl-Titus HoffmannDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
Cindy RichterDepartment for Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
Nikita GarnovEichamt Leipzig, Leipzig, Germany.
Clara FrydrychowiczDepartment for Neuropathology, University Hospital Leipzig, Leipzig, Germany.
Matthias KrauseClinic for Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Hans-Jonas MeyerClinic for Diagnostic and Interventional Radiology, University Hospital Leipzig, Leipzig, Germany.
Alexey SurovClinic for Diagnostic and Interventional Radiology, University Hospital Leipzig, Leipzig, Germany.
University Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiffusion weighted imaging (DWI) quantifies motion of hydrogen nuclei in biological tissues and hereby has been used to assess the underlying tissue microarchitecture. Histogram-profiling of DWI provides more detailed information on diffusion characteristics of a lesion than the standardly calculated values of the apparent diffusion coefficient (ADC)-minimum, mean and maximum. Hence, the aim of our study was to investigate, which parameters of histogram-profiling of DWI in primary central nervous system lymphoma can be used to specifically predict features like cellular density, chromatin content and proliferative activity. PROCEDURES: Pre-treatment ADC maps of 21 PCNSL patients (8 female, 13 male, 28-89 years) from a 1.5T system were used for Matlab-based histogram profiling. Results of histopathology (H&E staining) and immunohistochemistry (Ki-67 expression) were quantified. Correlations between histogram-profiling parameters and neuropathologic examination were calculated using SPSS 23.0.

resultsThe lower percentiles (p10 and p25) showed significant correlations with structural parameters of the neuropathologic examination (cellular density, chromatin content). The highest percentile, p90, correlated significantly with Ki-67 expression, resembling proliferative activity. Kurtosis of the ADC histogram correlated significantly with cellular density.

conclusionsHistogram-profiling of DWI in PCNSL provides a comprehensible set of parameters, which reflect distinct tumor-architectural and tumor-biological features, and hence, are promising biomarkers for treatment response and prognosis.

Identifiers

PMID29522972
PMCPMC5884194
OpenAlexW2789280579

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.