Evidence map›Paper›PMID 29909365›Full record

ArticleTranslational oncology2018

Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas.

Georg Alexander Gihr, Diana Horvath-Rizea, Patricia Kohlhof-Meinecke, Oliver Ganslandt, Hans Henkes, Cindy Richter, Karl-Titus Hoffmann, Alexey Surov, Stefan Schob

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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
1.3field-weighted citation impact, top 20% 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, 21 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

9 authors at 2 institutions in 1 country.

Georg Alexander GihrKatharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, Germany. Electronic address: g.gihr@klinikum-stuttgart.de.
Diana Horvath-RizeaKatharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, Germany.
Patricia Kohlhof-MeineckeKatharinenhospital Stuttgart, Department for Pathology, Stuttgart, Germany.
Oliver GanslandtKatharinenhospital Stuttgart, Neurosurgical Clinic, Stuttgart, Germany.
Hans HenkesKatharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, Germany.
Cindy RichterUniversity Hospital Leipzig, Department for Neuroradiology, Leipzig, Germany.
Karl-Titus HoffmannUniversity Hospital Leipzig, Department for Neuroradiology, Leipzig, Germany.
Alexey SurovUniversity Hospital Leipzig, Clinic for Diagnostic and Interventional Radiology, Leipzig, Germany.
Stefan SchobUniversity Hospital Leipzig, Department for Neuroradiology, Leipzig, Germany.
Katharinenhospital · DEUniversity Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeningiomas are the most frequently diagnosed intracranial masses, oftentimes requiring surgery. Especially procedure-related morbidity can be substantial, particularly in elderly patients. Hence, reliable imaging modalities enabling pretherapeutic prediction of tumor grade, growth kinetic, realistic prognosis, and-as a consequence-necessity of surgery are of great value. In this context, a promising diagnostic approach is advanced analysis of magnetic resonance imaging data. Therefore, our study investigated whether histogram profiling of routinely acquired postcontrast T1-weighted images is capable of separating low-grade from high-grade lesions and whether histogram parameters reflect Ki-67 expression in meningiomas. MATERIAL AND

methodsPretreatment T1-weighted postcontrast volumes of 44 meningioma patients were used for signal intensity histogram profiling. WHO grade, tumor volume, and Ki-67 expression were evaluated. Comparative and correlative statistics investigating the association between histogram profile parameters and neuropathology were performed.

resultsNone of the investigated histogram parameters revealed significant differences between low-grade and high-grade meningiomas. However, significant correlations were identified between Ki-67 and the histogram parameters skewness and entropy as well as between entropy and tumor volume.

conclusionsContrary to previously reported findings, pretherapeutic postcontrast T1-weighted images can be used to predict growth kinetics in meningiomas if whole tumor histogram analysis is employed. However, no differences between distinct WHO grades were identifiable in out cohort. As a consequence, histogram analysis of postcontrast T1-weighted images is a promising approach to obtain quantitative in vivo biomarkers reflecting the proliferative potential in meningiomas.

Identifiers

PMID29909365
PMCPMC6008484
OpenAlexW2809453426

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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.