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Multimodality-multiparametric brain tumors evaluation
dc.creator | Tsitsia V., Svolou P., Kapsalaki E., Theodorou K., Vassiou K., Valotassiou V., Georgoulias P., Fezoulidis I., Tsougos I. | en |
dc.date.accessioned | 2023-01-31T10:16:22Z | |
dc.date.available | 2023-01-31T10:16:22Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 17905427 | |
dc.identifier.uri | http://hdl.handle.net/11615/80051 | |
dc.description.abstract | Brain tumors represent a vast group of lesions, originating from different neuronal cells with different degrees of aggressiveness. Despite some technological advances either pre or post-treatment, these tumors may share similar imaging findings and properties, rendering diagnosis/prognosis, an ambiguous process. Gadolinium-enhanced magnetic resonance imaging remains the gold standard for providing detailed morphologic information, but presents several limitations due to the overlap of findings, in cases such as progressive tumor and post-radiation related effects. Tumor cellularity, vascularity, proliferative activity, metabolic and functional profiles are a few of many characteristics that may further support tumor classification, but cannot be assessed by conventional imaging alone. We review the aforementioned factors and indicate how they improve tumor characterization and grading in order to design the optimal treatment strategy and better eval uate post treatment efficacy. | en |
dc.language.iso | en | en |
dc.source | Hellenic Journal of Nuclear Medicine | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021855882&partnerID=40&md5=d20426d92b1797b0a80ffe260f0941df | |
dc.subject | brain tumor | en |
dc.subject | cancer grading | en |
dc.subject | cancer prognosis | en |
dc.subject | clinical evaluation | en |
dc.subject | differential diagnosis | en |
dc.subject | human | en |
dc.subject | nuclear magnetic resonance imaging | en |
dc.subject | nuclear medicine | en |
dc.subject | photon emission tomography | en |
dc.subject | positron emission tomography | en |
dc.subject | Review | en |
dc.subject | brain tumor | en |
dc.subject | computer assisted emission tomography | en |
dc.subject | diagnostic imaging | en |
dc.subject | evidence based medicine | en |
dc.subject | image enhancement | en |
dc.subject | multimodal imaging | en |
dc.subject | neovascularization (pathology) | en |
dc.subject | observer variation | en |
dc.subject | pathology | en |
dc.subject | procedures | en |
dc.subject | reproducibility | en |
dc.subject | sensitivity and specificity | en |
dc.subject | Brain Neoplasms | en |
dc.subject | Evidence-Based Medicine | en |
dc.subject | Humans | en |
dc.subject | Image Enhancement | en |
dc.subject | Magnetic Resonance Imaging | en |
dc.subject | Multimodal Imaging | en |
dc.subject | Neovascularization, Pathologic | en |
dc.subject | Observer Variation | en |
dc.subject | Reproducibility of Results | en |
dc.subject | Sensitivity and Specificity | en |
dc.subject | Tomography, Emission-Computed | en |
dc.subject | P.Ziti and Co | en |
dc.title | Multimodality-multiparametric brain tumors evaluation | en |
dc.type | other | en |
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