Introduction: We investigated the effect of increased tumor perfusion using dynamic susceptibility-contrast magnetic resonance imaging (DSC-MRI) in glioblastoma (GBM) patients on the surrounding ipsilateral brain tissue with respect to perfusion of the normal, unaffected contralateral brain and of the tumor.
Material And Methods: DSC-MRI was performed in 11 patients with glioblastoma using a multislice T2*-weighed EPI sequence (TR/TE = 2,000/62 ms; FOV 240 mm; matrix 128 x 128; slice thickness 6 mm) on a standard clinical 1.5 Tesla scanner during intravenous injection of 40 cc Gadolinium-DTPA at a flow rate of 5 cc/s. Maps for relative regional cerebral blood volume (rCBV) and relative regional cerebral blood flow (rCBF) were created and relative values analyzed in relation to the arterial input.
Results: Relative CBV and CBF were significantly higher in gray matter than in the respective white matter (paired t-test; P < 0.001) with a high correlation for both perfusion parameters between the gray and the white matter in both ipsilateral and contralateral brain (P < 0.001). The highest values for rCBV and rCBF were found in solid tumor tissue with a significant positive correlation between tumor and the adjacent gray matter (for both rCBV and rCBF; P < 0.001).
Conclusion: In GBM patients there is increased metabolism and thus increased rCBV and rCBF within the tumor. This increased perfusion of the tumor is not at the expense of perfusion of the ipsilateral normal brain parenchyma and in fact, the rCBV and rCBF values are linked to tumor-induced changes in rCBV and rCBF.
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http://dx.doi.org/10.1007/s11060-008-9701-7 | DOI Listing |
Magn Reson Imaging
December 2024
Department of Radiology and Diagnostic Imaging, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland.
Background: Brain tumors exhibit diverse genetic landscapes and hemodynamic properties, influencing diagnosis and treatment outcomes.
Purpose: To explore the relationship between MRI perfusion metrics (rCBV, rCBF), genetic markers, and contrast enhancement patterns in gliomas, aiming to enhance diagnostic accuracy and inform personalized therapeutic strategies. Additionally, other radiological features, such as the T2/FLAIR mismatch sign, are evaluated for their predictive utility in IDH mutations.
Acta Neurochir (Wien)
November 2024
Department of Neurosurgery, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming, 650503, Yunnan Province, China.
Objective: This study aimed to identify predictive factors for cerebral infarction after bypass surgery in adult patients with moyamoya disease (MMD) using quantitative parameters in 4D-CT perfusion software.
Methods: A total of 108 patients who underwent combined revascularization, including superficial temporal artery-middle cerebral artery (STA-MCA) anastomosis and encephalo-duro-myo-synangiosis (EDMS), in our hospital between September 2019 and August 2023 were analyzed retrospectively. Preoperative relative cerebral blood flow (rCBF), relative cerebral blood volume (rCBV), relative mean transit time (rMTT), and relative time to maximum residual function (rTmax) perfusion parameters were obtained using 4D-CT perfusion software.
Oncol Lett
December 2024
Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
O6-methylguanine DNA methyltransferase promoter methylation is an important clinical biomarker of newly diagnosed glioblastoma. Previous radiological studies using dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) perfusion have aimed to predict methylation status non-invasively in gliomas with radiological characteristics. The possibility of predicting methylation status using DSC-MRI perfusion with a radiological approach remains controversial.
View Article and Find Full Text PDFTurk Neurosurg
November 2024
Koc University Hospital, Department of Radiology, Zeytinburnu, Istanbul, Türkiye.
Aim: To assess the performance metrics of perfusion and permeability magnetic resonance imaging (MRI) parameters with optimal cut-offs in differentiating isocitrate dehydrogenase (IDH) genotype and tumor grade in patients with grade 2-4 gliomas.
Material And Methods: This retrospective study included 36 patients surgically diagnosed with grade 2-4 glioma (six grade 2, seven grade 3, and 23 grade 4) with known IDH genotypes (23 IDH wild-type, 13 IDH mutant) between November 2021 and August 2023. All patients underwent preoperative perfusion and permeability MRI examinations with a 3.
Acta Radiol
December 2024
Department of Radiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
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