Continuous assessment of relative cerebral blood volume in transient ischemia using steady state susceptibility-contrast MRI

1996 ◽  
Vol 35 (2) ◽  
pp. 168-173 ◽  
Author(s):  
Leena M. Hamberg ◽  
Pia Boccalini ◽  
George Stranjalis ◽  
George J. Hunter ◽  
Zhihong Huang ◽  
...  
Keyword(s):  
Steady State ◽  
Blood Volume ◽  
Cerebral Blood Volume ◽  
Continuous Assessment ◽  
Transient Ischemia ◽  
Relative Cerebral Blood Volume ◽  
Susceptibility Contrast

scholarly journals Integrative Analysis of mRNA, microRNA, and Protein Correlates of Relative Cerebral Blood Volume Values in GBM Reveals the Role for Modulators of Angiogenesis and Tumor Proliferation

2016 ◽  
Vol 15 ◽  
pp. CIN.S33014 ◽  
Author(s):  
Arvind Rao ◽  
Ganiraju Manyam ◽  
Ganesh Rao ◽  
Rajan Jain
Keyword(s):  
Blood Volume ◽  
Messenger Rna ◽  
Cerebral Blood Volume ◽  
The Cancer Genome Atlas ◽  
Dynamic Susceptibility ◽  
Tumor Proliferation ◽  
Dynamic Susceptibility Contrast ◽  
Relative Cerebral Blood Volume ◽  
Hemodynamic Assessment ◽  
Susceptibility Contrast

Dynamic susceptibility contrast-enhanced magnetic resonance imaging is routinely used to provide hemodynamic assessment of brain tumors as a diagnostic as well as a prognostic tool. Recently, it was shown that the relative cerebral blood volume (rCBV), obtained from the contrast-enhancing as well as -nonenhancing portion of glioblastoma (GBM), is strongly associated with overall survival. In this study, we aim to characterize the genomic correlates (microRNA, messenger RNA, and protein) of this vascular parameter. This study aims to provide a comprehensive radiogenomic and radioproteomic characterization of the hemodynamic phenotype of GBM using publicly available imaging and genomic data from the Cancer Genome Atlas GBM cohort. Based on this analysis, we identified pathways associated with angiogenesis and tumor proliferation underlying this hemodynamic parameter in GBM.

scholarly journals Detection of local microvascular proliferation in IDH wild-type Glioblastoma using relative Cerebral Blood Volume

2021 ◽  
Author(s):  
María del Mar Álvarez-Torres ◽  
Elies Fuster-García ◽  
Javier Juan-Albarracín ◽  
Gaspar Reynés ◽  
Fernando Aparici-Robles ◽  
...  
Keyword(s):  
Blood Volume ◽  
Cerebral Blood Volume ◽  
Statistical Tests ◽  
Dynamic Susceptibility ◽  
Wild Type ◽  
Dynamic Susceptibility Contrast ◽  
Relative Cerebral Blood Volume ◽  
Microvascular Proliferation ◽  
Susceptibility Contrast ◽  
Definition Of

ABSTRACTBackgroundThe microvascular proliferation (MVP) and the microvessel area (MVA) are known as diagnostic and prognostic biomarkers for glioblastoma; nevertheless, its measurement is costly, labor-intense, and invasive. MRI perfusion biomarkers such as such as relative cerebral blood volume (rCBV) may be a feasible alternative to predict MVP and estimate MVA.PurposeThis study aims to evaluate the detection capacity of MRI markers such as rCBV to detect local microvascular proliferation in IDH wild-type glioblastoma. In addition, we aim to analyze the association between rCBV values and the microvessel area in different regions of the tumor.Study typeRetrospective study.Population and subjectsData from 71 tissue blocks belonging to 17 IDH wild-type glioblastoma patients were compiled from the Ivy GAP database.Field Strength/Sequence1.5T or 3.0T. Pregadolinium and postgadolinium-based contrast agent-enhanced T1-weighted MRI, T2- and FLAIR T2-weighted, and dynamic susceptibility contrast (DSC) T2* perfusion.AssessmentWe analyzed preoperative MRIs to establish the association between the maximum and mean relative cerebral blood volume (rCBVmax and rCBVmean) with the presence/absence of microvascular proliferation and with the microvessel area for each tumor block.Statistical testsSpearman’s correlation and Mann-Whitney test.ResultsSignificant positive correlations were found between rCBV and MVA in the analyzed tumor blocks (p<0.001). Additionally, significant differences in rCBV were found between blocks with MVP and blocks without MVP (p<0.0001).Data conclusionThe rCBV is shown as significantly different in those tissue blocks with microvascular proliferation from those blocks without it, and it is significantly correlated with microvessels area. This method allows a local detection and definition of MVP and MVA in different regions of the glioblastoma since the first diagnostic stage and in a non-invasive way.

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