Evidence map›Paper›PMID 30005209›Full record

ArticleTranslational oncology2018

Histogram Analysis Parameters Apparent Diffusion Coefficient for Distinguishing High and Low-Grade Meningiomas: A Multicenter Study.

Alexey Surov, Daniel T Ginat, Tchoyoson Lim, Teresa Cabada, Ozdil Baskan, Stefan Schob, Hans Jonas Meyer, Georg Alexander Gihr, Diana Horvath-Rizea, Gordian Hamerla and 2 more

Abstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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.

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  12. Brain MRI Radiomic First-Order Features for Presurgical Prediction of Meningioma Grading.Journal of neuroimaging : official journal of the American Society of Neuroimaging
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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.

Alexey SurovDepartment of Radiology, Martin-Luther-University Halle-Wittenberg, Germany; Department of Diagnostic and Interventional Radiology, University of Leipzig, Germany. Electronic address: Alexey.Surov@medizin.uni-leipzig.de.
Daniel T GinatUniversity of Chicago, Pritzker School of Medicine, Chicago, IL, USA.
Tchoyoson LimDepartment of Neuroradiology, National Neuroscience Institute, Singapore.
Teresa CabadaServicio de Radiologia, Hospital de Navarra, Pamplona, Spain.
Ozdil BaskanDepartment of Radiology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey.
Stefan SchobDepartment of Neuroradiology, University of Leipzig.
Hans Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Germany.
Georg Alexander GihrClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Diana Horvath-RizeaClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Gordian HamerlaDepartment of Neuroradiology, University of Leipzig.
Karl Titus HoffmannDepartment of Neuroradiology, University of Leipzig.
Andreas WienkeInstitute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther University Halle-Wittenberg, Halle, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low grade meningiomas have better prognosis than high grade meningiomas. The aim of this study was to measure apparent diffusion coefficient (ADC) histogram analysis parameters in different meningiomas in a large multicenter sample and to analyze the possibility of several parameters for predicting tumor grade and proliferation potential. Overall, 148 meningiomas from 7 institutions were evaluated in this retrospective study. Grade 1 lesions were diagnosed in 101 (68.2%) cases, grade 2 in 41 (27.7%) patients, and grade 3 in 6 (4.1%) patients. All tumors were investigated by MRI (1.5 T scanner) by using diffusion weighted imaging (b values of 0 and 1000 s/mm

Identifiers

PMID30005209
PMCPMC6067084

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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.