Evidence map›Paper›PMID 41229073›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry.

Tereza Kopřivová, Marek Dostál, Tomáš Jůza, Václav Vybíhal, Petra Ovesná, Michal Kozubek, Miloš Keřkovský

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Article
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

7 authors.

Tereza KopřivováDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic.
Marek DostálDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic.ORCID https://orcid.org/0000-0003-1740-9227
Tomáš JůzaDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic.
Václav VybíhalDepartment of Neurosurgery, Faculty of Medicine, Masaryk University Brno and University Hospital Brno, Brno, Czech Republic.
Petra OvesnáInstitute of Biostatistics and Analyses Ltd., Brno, Czech Republic.
Michal KozubekCentre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic.
Miloš KeřkovskýDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic.

Funding

Ministry of Health of the Czech Republic FNBr: 65269705Ministry of Health of the Czech Republic NU21-08-00359
6 · The paper itself

Abstract

background and purposeTo evaluate feasibility of multi-b value diffusion magnetic resonance imaging (MRI) and volumetry in differentiating between brain metastases and high-grade gliomas (HGGs) while producing a differentiation tool.

methodsPreoperative brain MRI consisting of both morphological and multi-b value diffusion sequences of patients with HGGs and brain metastases was prospectively performed. Three-dimensional masks of enhancing and non-enhancing tumor and surrounding edema were semiautomatically segmented. Multiple diffusion parameters were subsequently derived together with volumes of the particular tissues. Histogram analysis of the diffusion parameters was performed, and the parameters' diagnostic power to differentiate between the subgroups was evaluated by receiver operating characteristic analysis and least absolute shrinkage and selection operator (LASSO) regression method.

resultsA training dataset included 97 consecutive patients (67 HGGs, 30 metastases), whereas 17 patients (9 HGGs and 8 metastases) comprised a validation group. Overall, 66 histogram diffusion parameters and tissue volumes were found to differ significantly between metastasis and HGG subgroups. LASSO regression identified 17 of these as best predictors. A decision tree using four parameters achieved sensitivity of 90% and 87.5% and specificity of 97% and 77.8% for the training and validation subgroups, respectively.

conclusionMulti-b diffusion MRI and tumor volumetry may be valuable diagnostic tools for differentiating HGG from brain metastasis.

Indexed as

Brain NeoplasmsDiffusion Magnetic Resonance ImagingGliomaImage Interpretation, Computer-AssistedAdultAgedDiagnosis, DifferentialFeasibility StudiesFemaleHumansImaging, Three-DimensionalMaleMiddle AgedNeoplasm GradingProspective StudiesReproducibility of Resultsclassificationdiffusion magnetic resonance imaging (MRI)high‐grade gliomasmetastasis

Identifiers

PMID41229073
PMCPMC12612568

What Socratic holds

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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 Socratic graph.