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Rmn cerebral1/31/2024 ![]() Advanced MRI methods provide a comprehensive dataset from in vivo physiological and metabolic information that could complement the histopathology examinations. Conventional MRI method does not provide reliable information about the tumor physiology including microvascularity, angiogenesis, metabolism, micronecrosis, and cellularity (parameters that are important to determine tumor specifications). In the evaluation of brain tumors using MRI methods, metabolic and physiological changes of the peripheral tissues could be examined in addition to the abnormal sites. Magnetic resonance imaging (MRI) method is a promising noninvasive method for tumor assessment. In cytoreductive surgery, the histological examination could only be performed on the resected specimens and remaining tumor tissues could not be evaluated. The main limitations of the histopathology-based tumor evaluation include inherent sampling errors associated with stereotactic biopsy, limited number of sampling, and the inability to evaluate residual tumor tissues after cytoreductive surgery. Histopathological investigation is the gold standard method for tumor identification. Therefore, a successful treatment might be achieved with an early identification. Symptoms and deadly characteristics appear in the final stages. Most brain tumors are asymptomatic in the early stages of their progression. Studies show that the outbreaks of the disease are 6.04 and 3–5 per 100,000 population/year in the USA and Europe, respectively. The primary incidence of the central nervous system (CNS) tumors is approximately 7 people per 100,000 in adults. Conclusion:īased on the measurement of the cerebral hemodynamic and blood–brain barrier permeability using DCE-MRI, a more comprehensive collection of the physiological parameters cloud be achieved for tumor evaluations.īrain tumor is one of the most common tumors in the world. Furthermore, an acceptable agreement was observed between DSC- and DCE-derived cerebral hemodynamic indices. The intraclass correlation coefficients showed that the cerebral hemodynamic indices could accurately be estimated based on the DCE-MRI using a single-compartment model (>0.87), and DCE-derived cerebral hemodynamic indices are significantly similar to the magnitudes achieved based on the DSC-MRI ( P < 0.001). WM: 32.00 ± 6.00 mL/100 g/min) were in good agreement with other studies. The achieved magnitudes for DCE-derived CBV (gray matter : 5.01 ± 1.40 mL/100 g vs. The reliability between DSC- and DCE-derived cerebral hemodynamic indices was measured using the intraclass correlation analysis. Agreement between DSC- and DCE-derived cerebral hemodynamic indices was determined using the statistical method described by Bland and Altman. Twenty-nine patients with brain tumor underwent DCE- and DSC-MRIs to evaluate the agreement between DSC- and DCE-derived cerebral hemodynamic parameters. The objective of the study was to validate first-pass perfusion parameters derived from T1-based DCE method in comparison to the routine T2*-based DSC protocol. There are only a few studies available on the comparison of DSC- and DCE-derived cerebral hemodynamic indices such as CBF and CBV. Some mathematical methods were developed to determine both cerebral hemodynamic and permeability indices based on a single-dose DCE perfusion MRI. 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. 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. ![]() Noninvasive assessment of tumor specifications may be possible using perfusion-weighted magnetic resonance imaging (MRI). Pathological investigation as the gold standard method for tumor identification has some limitations. A successful treatment might be achieved with an early identification. Brain tumor is one of the most common tumors.
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