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Original research article


Assessment of the Agreement between Cerebral Hemodynamic Indices Quantified Using Dynamic Susceptibility Contrast and Dynamic Contrast-enhanced Perfusion Magnetic Resonance Imagings.

Seyed Salman Zakariaee1Mohammad Ali Oghabian1,2Kavous Firouznia3Guive Sharifi4Farshid Arbabi5Farhad Samiei6
1Departments of Medical Physics and Biomedical Engineering, 2Radiology and, 3Radiotherapy, Faculty of Medicine, Tehran University of Medical Sciences, 4Research Center For Molecular and Cellular Imaging, Neuroimaging and Analysis Group, Tehran University of Medical Sciences, 5Department of Neurosurgery, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, 6Department of Radiotherapy, Faculty of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
Date of Submission: 18-Oct-2017, Date of Acceptance: 10-Dec-2017, Date of Web Publication: 22-Jan-2018.
Corresponding Author:
Corresponding Author

Mohammad Ali Oghabian

Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
E-mail: oghabian@sina.tums.ac.ir

Corresponding Author:
Corresponding Author

Mohammad Ali Oghabian

Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
E-mail: oghabian@sina.tums.ac.ir

DOI: 10.4103/jcis.JCIS_74_17 Facebook Twitter Google Linkedin

ABSTRACT


Brain tumor is one of the most common tumors. A successful treatment might be achieved with an early identification. Pathological investigation as the gold standard method for tumor identification has some limitations. Noninvasive assessment of tumor specifications may be possible using perfusion-weighted magnetic resonance imaging (MRI). Cerebral blood volume (CBV) and cerebral blood flow (CBF) could be calculated based on dynamic contrast-enhanced MRI (DCE-MRI) in addition to dynamic susceptibility contrast MRI (DSC-MRI) modality. Each category of the cerebral hemodynamic and permeability indices revealed the specific tumor characteristics and their collection could help for better identification of the tumor. Some mathematical methods were developed to determine both cerebral hemodynamic and permeability indices based on a single-dose DCE perfusion MRI. There are only a few studies available on the comparison of DSC- and DCE-derived cerebral hemodynamic indices such as CBF and CBV.
Keywords: Bland and Altman analysis, brain tumor, cerebral hemodynamic indices, dynamic contrast-enhanced-magnetic resonance imaging, dynamic susceptibility contrast-magnetic resonance imaging, intraclass correlation coefficient

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