Literature DB >> 26117703

Dynamic contrast-enhanced MRI and CT provide comparable measurement of blood-brain barrier permeability in a rodent stroke model.

Zamir Merali1, Teser Wong2, Jackie Leung2, Meah MingYang Gao1, David Mikulis3, Andrea Kassner4.   

Abstract

In the current management of acute ischemic stroke (AIS), clinical criteria are used to estimate the risk of hemorrhagic transformation (HT), which is a devastating early complication. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and computed tomography (DCE-CT) may serve as physiologically-based decision making tools to more reliably assess the risk of HT. Before these tools can be properly validated, the comparability of the blood-brain barrier (BBB) permeability measurements they generate should be assessed. Sixteen rats were subjected to a transient middle cerebral artery occlusion before successively undergoing DCE-CT and DCE-MRI at 24-hours. BBB permeability (K(trans)) values were generated from both modalities. A correlation of R=0.677 was found (p<0.01) and the resulting relationship was [DCE-CT=(0.610*DCE-MRI)+4.140]. A variance components analysis found the intra-rat coefficient of variation to be 0.384 and 0.258 for K(trans) values from DCE-MRI and DCE-CT respectively. Permeability measures from DCE-CT were 22% higher than those from DCE-MRI. The results of this study demonstrate for the first time comparability between DCE-CT and DCE-MRI in the assessment of AIS. These results may provide a foundation for future clinical trials making combined use of these modalities.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute ischemic stroke; Animal model; Blood–brain barrier permeability; CT; Dynamic contrast-enhanced; MRI

Mesh:

Substances:

Year:  2015        PMID: 26117703     DOI: 10.1016/j.mri.2015.06.021

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  7 in total

1.  Unified platform for multimodal voxel-based analysis to evaluate tumour perfusion and diffusion characteristics before and after radiation treatment evaluated in metastatic brain cancer.

Authors:  Catherine Coolens; Brandon Driscoll; Warren Foltz; Igor Svistoun; Noha Sinno; Caroline Chung
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

Review 2.  Methods used for the measurement of blood-brain barrier integrity.

Authors:  Huixin Sun; Huiling Hu; Chuanjie Liu; Nannan Sun; Chaohui Duan
Journal:  Metab Brain Dis       Date:  2021-02-26       Impact factor: 3.584

Review 3.  Brain Vascular Imaging Techniques.

Authors:  Bàrbara Laviña
Journal:  Int J Mol Sci       Date:  2016-12-30       Impact factor: 5.923

Review 4.  Multi-Scale Imaging of Vascular Pathologies in Cardiovascular Disease.

Authors:  Ashish Tiwari; Betsalel Elgrably; Galit Saar; Katrien Vandoorne
Journal:  Front Med (Lausanne)       Date:  2022-01-05

5.  Automated Assessment of Hematoma Volume of Rodents Subjected to Experimental Intracerebral Hemorrhagic Stroke by Bayes Segmentation Approach.

Authors:  Zhexuan Zhang; Sunjoo Cho; Ashish K Rehni; Hever Navarro Quero; Kunjan R Dave; Weizhao Zhao
Journal:  Transl Stroke Res       Date:  2019-12-14       Impact factor: 6.829

Review 6.  Not Just a Bystander: The Emerging Role of Astrocytes and Research Tools in Studying Cognitive Dysfunctions in Schizophrenia.

Authors:  Chia-Yuan Chang; Da-Zhong Luo; Ju-Chun Pei; Ming-Che Kuo; Yi-Chen Hsieh; Wen-Sung Lai
Journal:  Int J Mol Sci       Date:  2021-05-19       Impact factor: 5.923

7.  Comparison of Voxel-Wise Tumor Perfusion Changes Measured With Dynamic Contrast-Enhanced (DCE) MRI and Volumetric DCE CT in Patients With Metastatic Brain Cancer Treated with Radiosurgery.

Authors:  Catherine Coolens; Brandon Driscoll; Warren Foltz; Carly Pellow; Cynthia Menard; Caroline Chung
Journal:  Tomography       Date:  2016-12
  7 in total

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