scholarly journals Absolute Arterial Cerebral Blood Volume Quantification Using Inflow Vascular-Space-Occupancy with Dynamic Subtraction Magnetic Resonance Imaging

2010 ◽  
Vol 30 (7) ◽  
pp. 1329-1342 ◽  
Author(s):  
Manus J Donahue ◽  
Ediri Sideso ◽  
Bradley J MacIntosh ◽  
James Kennedy ◽  
Ashok Handa ◽  
...  

In patients with steno-occlusive disease of the internal carotid artery (ICA), cerebral blood flow may be maintained by autoregulatory increases in arterial cerebral blood volume (aCBV). Therefore, characterizing aCBV may be useful for understanding hemodynamic compensation strategies. A new ‘inflow vascular-space-occupancy with dynamic subtraction (iVASO-DS)’ MRI approach is presented where aCBV (mL blood/100 mL parenchyma) is quantified without contrast agents using the difference between images with and without inflowing blood water signal. The iVASO-DS contrast mechanism is investigated (3.0 T, spatial resolution=2.4 × 2.4 × 5 mm3) in healthy volunteers ( n=8; age=29±5 years), and patients with mild ( n=7; age=72±8 years) and severe ( n=10; age=73±8 years) ICA stenoses. aCBV was quantified in right and left hemispheres in controls, and, alongside industry standard dynamic susceptibility contrast (DSC), contralateral (cont), and ipsilateral (ips) to maximum stenosis in patients. iVASO contrast significantly correlated ( R=0.67, P<0.01) with DSC-CBV after accounting for transit time discrepancies. Gray matter aCBV (mL/100 mL) was 1.60±0.10 (right) versus 1.61±0.20 (left) in controls, 1.59±0.38 (cont) and 1.65±0.37 (ips) in mild stenosis patients, and 1.72±0.18 (cont) and 1.58±0.20 (ips) in severe stenosis patients. aCBV was asymmetric ( P<0.01) in 41% of patients whereas no asymmetry was found in any control. The potential of iVASO-DS for autoregulation studies is discussed in the context of existing hemodynamic literature.

2016 ◽  
Vol 15 ◽  
pp. CIN.S33014 ◽  
Author(s):  
Arvind Rao ◽  
Ganiraju Manyam ◽  
Ganesh Rao ◽  
Rajan Jain

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.


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