# Differentiating Brain Metastasis and High‐Grade Glioma Using Multi‐b Value Diffusion MRI and Tumor Volumetry

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

PMC · DOI: 10.1111/jon.70103 · Journal of Neuroimaging · 2025-11-12

## TL;DR

This study shows that multi-b value diffusion MRI and tumor volumetry can help distinguish brain metastases from high-grade gliomas with high accuracy.

## Contribution

The study introduces a diagnostic tool using multi-b diffusion MRI and volumetry to differentiate brain tumors with high sensitivity and specificity.

## Key findings

- 66 diffusion parameters and tissue volumes significantly differed between metastases and high-grade gliomas.
- A decision tree using four parameters achieved 90% sensitivity and 97% specificity in the training group.
- The tool showed 87.5% sensitivity and 77.8% specificity in the validation group.

## Abstract

To 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.

Preoperative 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.

A 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.

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

## Full-text entities

- **Diseases:** Glioma (MESH:D005910), Brain Metastasis (MESH:D009362), Tumor (MESH:D009369), edema (MESH:D004487), HGGs (MESH:D008228), brain (MESH:D001927), brain metastases (MESH:D001932)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

55 references — full list in the complete paper: https://tomesphere.com/paper/PMC12612568/full.md

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Source: https://tomesphere.com/paper/PMC12612568