scholarly journals Pattern recognition analysis of dynamic susceptibility contrast (DSC)‐MRI curves automatically segments tissue areas with intact blood–brain barrier in a rat stroke model: A feasibility and comparison study

2019 ◽  
Vol 51 (5) ◽  
pp. 1369-1381
Author(s):  
Seokha Jin ◽  
SoHyun Han ◽  
Radka Stoyanova ◽  
Ellen Ackerstaff ◽  
HyungJoon Cho
Keyword(s):  
Pattern Recognition ◽  
Blood Brain Barrier ◽  
Brain Barrier ◽  
Dynamic Susceptibility ◽  
Comparison Study ◽  
Stroke Model ◽  
Dynamic Susceptibility Contrast ◽  
Dsc Mri ◽  
Pattern Recognition Analysis ◽  
Susceptibility Contrast

scholarly journals Dynamic susceptibility contrast enhanced (DSC) MRI perfusion and plasma cytokine levels in patients after tonic-clonic seizures

2017 ◽  
Vol 51 (3) ◽  
pp. 277-285
Author(s):  
Tatjana Filipovic ◽  
Katarina Surlan Popovic ◽  
Alojz Ihan ◽  
David Bozidar Vodusek
Keyword(s):  
Plasma Level ◽  
Blood Brain Barrier ◽  
Brain Barrier ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Blood Brain ◽  
Dsc Mri ◽  
Contrast Enhanced ◽  
Clonic Seizures ◽  
Susceptibility Contrast

Abstract Background Inflammatory events in brain parenchyma and glial tissue are involved in epileptogenesis. Blood concentration of cytokines is shown to be elevated after tonic-clonic seizures. As a result of inflammation, blood-brain barrier leakage occurs. This can be documented by imaging techniques, such is dynamic susceptibility contrast enhanced (DSC) MRI perfusion. Our aim was to check for postictal brain inflammation by studying DSC MRI perfusion and plasma level of cytokines. We looked for correlations between number and type of introducing seizures, postictal plasma level of cytokines and parameters of DSC MRI perfusion. Furthermore, we looked for correlation of those parameters and course of the disease over one year follow up. Patients and methods We prospectively enrolled 30 patients, 8–24 hours after single or repeated tonic-clonic seizures. Results 25 of them had normal perfusion parameters, while 5 had hyperperfusion. Patients with hyperperfusion were tested again, 3 months later. Two of 5 had hyperperfusion also on control measurements. Number of index seizures negatively correlated with concentration of proinflammatory cytokines IL-10, IFN-ϒ and TNF-α in a whole cohort. In patients with hyperperfusion, there were significantly lower concentrations of antiinflammatory cytokine IL-4 and higher concentrations of proinflammatory TNF-a. Conclusions Long lasting blood- brain barrier disruption may be crucial for epileptogenesis in selected patients.

scholarly journals Predicting and optimizing the territory of blood–brain barrier opening by superselective intra-arterial cerebral infusion under dynamic susceptibility contrast MRI guidance

2015 ◽  
Vol 36 (3) ◽  
pp. 569-575 ◽  
Author(s):  
Miroslaw Janowski ◽  
Piotr Walczak ◽  
Monica S Pearl
Keyword(s):  
Blood Brain Barrier ◽  
Interventional Neuroradiology ◽  
Brain Regions ◽  
Brain Barrier ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Blood Brain ◽  
Dynamic Susceptibility Contrast Mri ◽  
Susceptibility Contrast ◽  
Tip Position

Interventional neuroradiology techniques are minimally invasive and allow for superselective drug delivery to specific brain regions. The passage of most agents, however, is impaired by the blood–brain barrier (BBB). Despite its discovery over 40 years ago, hyperosmotic BBB opening (BBBO) remains highly variable, preventing its widespread implementation. Here, we report on a technique that enables the prediction and optimization of the BBBO territory. We found that the microcatheter tip position and the speed of hyperosmolar mannitol injection, both major determinants of the targeted territory, can be modulated in real-time as guided by trans-catheter perfusion MRI.

scholarly journals Spatiotemporal Characteristics of Postischemic Hyperperfusion with Respect to Changes in T1, T2, Diffusion, Angiography, and Blood–Brain Barrier Permeability

2011 ◽  
Vol 31 (10) ◽  
pp. 2076-2085 ◽  
Author(s):  
Qiang Shen ◽  
Fang Du ◽  
Shiliang Huang ◽  
Timothy Q Duong
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Angiography ◽  
Blood Brain Barrier ◽  
Spatiotemporal Dynamics ◽  
Brain Barrier ◽  
Multiple Time ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Blood Brain ◽  
Susceptibility Contrast

The spatiotemporal dynamics of postischemic hyperperfusion (HP) remains incompletely understood. Diffusion, perfusion, T2, T1, angiographic, dynamic susceptibility-contrast magnetic resonance imaging (MRI) and magnetic resonance angiography were acquired longitudinally at multiple time points up to 7 days after stroke in rats subjected to 30-, 60-, and 90-minutes middle cerebral artery occlusion (MCaO). The spatiotemporal dynamics of postischemic HP was analyzed and compared with T1, T2 and blood-brain barrier (BBB) changes. No early HP within 3 hours after recanalization was observed. Late (≥12 hours) HP was present in all animals of the 30-minute MCAO group (N=20), half of the animals in the 60-minute MCAO group ( N=8), and absent in the 90-minute MCAO group (N=9). Dynamic susceptibility-contrast MRI and magnetic resonance angiography corroborated HP. Hyperperfusion preceded T2 increase in some animals, but HP and T2 changes temporally coincided in others. T2 peaked first at 24 hours whereas HP peaked at 48 hours after occlusion, and HP resolved by day 7 in most animals at which point the arteries became tortuous. Pixel-by-pixel tracking analysis showed that tissue did not infarct (migrated from core or mismatch at 30 minutes to normal at 48 hours) showed normal cerebral blood flow (CBF), whereas infarct tissue (migrated from core or mismatch at 30 minutes to infarct at 48 hours) showed exaggerated CBF, indicating that HP was associated with poor outcome.

Attempts to improve absolute quantification of cerebral blood flow in dynamic susceptibility contrast magnetic resonance imaging: a simplified T1-weighted steady-state cerebral blood volume approach

2007 ◽  
Vol 48 (5) ◽  
pp. 550-556 ◽  
Author(s):  
R. Wirestam ◽  
L. Knutsson ◽  
J. Risberg ◽  
S. Börjesson ◽  
E.-M. Larsson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Steady State ◽  
Water Exchange ◽  
Cerebral Blood Volume ◽  
Dynamic Susceptibility ◽  
Resonance Imaging ◽  
Dynamic Susceptibility Contrast ◽  
Dsc Mri ◽  
Contrast Magnetic Resonance ◽  
Susceptibility Contrast

Background: Attempts to retrieve absolute values of cerebral blood flow (CBF) by dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) have typically resulted in overestimations. Purpose: To improve DSC-MRI CBF estimates by calibrating the DSC-MRI-based cerebral blood volume (CBV) with a corresponding T1-weighted (T1W) steady-state (ss) CBV estimate. Material and Methods: 17 volunteers were investigated by DSC-MRI and 133Xe SPECT. Steady-state CBV calculation, assuming no water exchange, was accomplished using signal values from blood and tissue, before and after contrast agent, obtained by T1W spin-echo imaging. Using steady-state and DSC-MRI CBV estimates, a calibration factor K = CBV(ss)/CBV(DSC) was obtained for each individual. Average whole-brain CBF(DSC) was calculated, and the corrected MRI-based CBF estimate was given by CBF(ss) = K×CBF(DSC). Results: Average whole-brain SPECT CBF was 40.1±6.9 ml/min·100 g, while the corresponding uncorrected DSC-MRI-based value was 69.2±13.8 ml/min·100 g. After correction with the calibration factor, a CBF(ss) of 42.7±14.0 ml/min·100 g was obtained. The linear fit to CBF(ss)-versus-CBF(SPECT) data was close to proportionality ( R = 0.52). Conclusion: Calibration by steady-state CBV reduced the population average CBF to a reasonable level, and a modest linear correlation with the reference 133Xe SPECT technique was observed. Possible explanations for the limited accuracy are, for example, large-vessel partial-volume effects, low post-contrast signal enhancement in T1W images, and water-exchange effects.

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