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Updated: Aug 14, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
Published on: June 7, 2020
[Perfusion MR imaging for initial diagnosis and follow-up of brain tumors]
J-F Le Bas1, S Grand, S Kremer
1Unité IRM et Service de NeuroRadiologie, CHU, Grenoble. JFLeBas@chu-grenoble.fr
Object:
To discuss the pertinency of perfusion MR imaging for initial diagnosis and follow up of brain tumors.
Methodology:
Dynamic susceptibility contrast MR imaging was applied. Images were thus obtained with intensities proportional to the cerebral blood volume (CBV). Relative cerebral blood volume (rCBV) maps were then generated by normalizing the signal intensities with respect to measurements made in healthy tissue.
Results:
The method provided interesting data for establishing the differential diagnosis between different kinds of lesions, in particular between lymphoma and pilocytic astrocytoma, and for grading gliomas.
Discussion And Conclusion:
Limits of the approach are discussed, in particular with respect to quantification aspects and interpretation of the results. The approach could be particularly useful for grading oligodendrogliomas, for which histological diagnosis on biopsy is sometimes difficult.
Insights
Perfusion MR imaging aids in diagnosing brain tumors and assessing their grade. This technique, using relative cerebral blood volume (rCBV) maps, helps differentiate lesions and grade gliomas, including challenging oligodendrogliomas.
Area of Science:
- Neuroradiology
- Neuro-oncology
- Medical Imaging
Background:
- Brain tumors require accurate initial diagnosis and monitoring.
- Perfusion MR imaging offers insights into tumor vascularity.
Purpose of the Study:
- To evaluate the utility of perfusion MR imaging in the diagnosis and follow-up of brain tumors.
- To assess the role of relative cerebral blood volume (rCBV) in differentiating tumor types and grading.
Main Methods:
- Dynamic susceptibility contrast (DSC) MR imaging was employed.
- Cerebral blood volume (CBV) and relative cerebral blood volume (rCBV) maps were generated.
- Normalization of signal intensities was performed using healthy tissue measurements.
Main Results:
- Perfusion MR imaging provided valuable data for differential diagnosis, distinguishing between lesions like lymphoma and pilocytic astrocytoma.
- The technique demonstrated utility in grading gliomas.
Conclusions:
- The approach shows promise for grading oligodendrogliomas, where histological diagnosis can be difficult.
- Limitations regarding quantification and result interpretation were discussed.
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