Evidence map›Paper›PMID 27741525›Full record

ArticlePloS one2016

Early Detection of Malignant Transformation in Resected WHO II Low-Grade Glioma Using Diffusion Tensor-Derived Quantitative Measures.

Martin T Freitag, Klaus H Maier-Hein, Francisczek Binczyk, Frederik B Laun, Christian Weber, David Bonekamp, Rafal Tarnawski, Barbara Bobek-Billewicz, Joanna Polanska, Henryk Majchrzak and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 10 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 5 institutions in 3 countries.

Martin T FreitagQuantitative Imaging-based Disease Characterization, German Cancer Research Center, Heidelberg, Germany.
Klaus H Maier-HeinJunior Group Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.
Francisczek BinczykSilesian University of Technology, Data Mining Group, Gliwice, Poland.
Frederik B LaunDivision of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
Christian WeberJunior Group Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.
David BonekampDepartment of Radiology, German Cancer Research Center, Heidelberg, Germany.
Rafal TarnawskiMaria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Department of Radiology, Gliwice, Poland.
Barbara Bobek-BillewiczMaria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Department of Radiology, Gliwice, Poland.
Joanna PolanskaSilesian University of Technology, Data Mining Group, Gliwice, Poland.
Henryk MajchrzakDepartment of Neurosurgery, Medical University of Silesia, Sosnowiec, Katowice, Poland.
Bram StieltjesQuantitative Imaging-based Disease Characterization, German Cancer Research Center, Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DESilesian University of Technology · PLThe Maria Sklodowska-Curie National Research Institute of Oncology · PLMedical University of Silesia · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHere, we retrospectively investigate the value of voxel-wisely plotted diffusion tensor-derived (DTI) axial, radial and mean diffusivity for the early detection of malignant transformation (MT) in WHO II glioma compared to contrast-enhanced images. MATERIALS AND

methodsForty-seven patients underwent brain magnetic resonance imaging follow-up between 2006-2014 after gross-tumor resection of intra-axial WHO II glioma. Axial/Mean/Radial diffusivity maps (AD/MD/RD) were generated from DTI data. ADmin/MDmin/RDmin values were quantified within tumor regions-of-interest generated by two independent readers including tumor contrast-to-noise (CNR). Sensitivity/specificity and area-under-the-curve (AUC) were calculated using receiver-operating-characteristic analysis. Inter-reader agreement was assessed (Cohen's kappa).

resultsEighteen patients demonstrated malignant transformation (MT) confirmed in 8/18 by histopathology and in 10/18 through imaging follow-up. Twelve of 18 patients (66.6%) with MT showed diffusion restriction timely coincidental with contrast-enhancement (CE). In the remaining six patients (33.3%), the diffusion restriction preceded the CE. The mean gain in detection time using DTI was (0.8±0.5 years, p = 0.028). Compared to MDmin and RDmin, ROC-analysis showed best diagnostic value for ADmin (sensitivity/specificity 94.94%/89.7%, AUC 0.96; p<0.0001) to detect MT. CNR was highest for AD (1.83±0.14), compared to MD (1.31±0.19; p<0.003) and RD (0.90±0.23; p<0.0001). Cohen's Kappa was 0.77 for ADmin, 0.71 for MDmin and 0.65 for RDmin (p<0.0001, respectively).

conclusionMT is detectable at the same time point or earlier compared to T1w-CE by diffusion restriction in diffusion-tensor-derived maps. AD demonstrated highest sensitivity/specificity/tumor-contrast compared to radial or mean diffusivity (= apparent diffusion coefficient) to detect MT.

Indexed as

Magnetic Resonance ImagingAdultArea Under CurveBrain NeoplasmsEarly DiagnosisFemaleGliomaHumansImage EnhancementMaleMiddle AgedNeoplasm GradingROC CurveSensitivity and Specificity

Identifiers

PMID27741525
PMCPMC5065360
OpenAlexW2530745197

What OpenQuestion holds

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LicenceCC BY
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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.