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  5. Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)
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Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/16356
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dc.contributor.authorZikou, A. K.en
dc.contributor.authorAlexiou, G. A.en
dc.contributor.authorKosta, P.en
dc.contributor.authorGoussia, A.en
dc.contributor.authorAstrakas, L.en
dc.contributor.authorTsekeris, P.en
dc.contributor.authorVoulgaris, S.en
dc.contributor.authorMalamou-Mitsi, V.en
dc.contributor.authorKyritsis, A. P.en
dc.contributor.authorArgyropoulou, M. I.en
dc.date.accessioned2015-11-24T18:30:19Z-
dc.date.available2015-11-24T18:30:19Z-
dc.identifier.issn0303-8467-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/16356-
dc.rightsDefault Licence-
dc.subjectgliomaen
dc.subjectmagnetic resonance imagingen
dc.subjectdiffusion tensor imagingen
dc.subjectperfusion imagingen
dc.subjectcerebral blood-volumeen
dc.subjectbrain-tumorsen
dc.subjectlabeling indexen
dc.subjectastrocytic tumorsen
dc.subjectnervous-systemen
dc.subjectglioma gradeen
dc.subjectperfusionen
dc.subjectcoefficienten
dc.subjectprognosisen
dc.subjectpermeabilityen
dc.titleDiffusion tensor and dynamic susceptibility contrast MRI in glioblastomaen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.clineuro.2011.12.022-
heal.identifier.secondary<Go to ISI>://000306044900014-
heal.identifier.secondaryhttp://ac.els-cdn.com/S030384671100429X/1-s2.0-S030384671100429X-main.pdf?_tid=80582848-ada2-11e2-85c7-00000aacb362&acdnat=1366892602_cc63f0c18388014d2258c8d9e5f43e8d-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών και Τεχνολογιών. Τμήμα Βιολογικών Εφαρμογών και Τεχνολογιώνel
heal.publicationDate2012-
heal.abstractObjective: We prospectively investigated the correlation between diffusion tensor (DTI), dynamic susceptibility contrast (DSC) perfusion MRI metrics and Ki-67 labelling index in glioblastomas. Methods: We studied seventeen patients who were operated on for glioblastoma. DTI and DSC MRI were performed within a week prior to surgical excision. Lesion/normal ratios were calculated for the apparent diffusion coefficient (ADC), fractional anisotropy (FA), relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF) and relative mean transit time (rMTT) ratio. In the excised tumour specimens Ki-67 antigen expression was evaluated by the MIB-1 immunostaining method. Results: A significant correlation was observed between Ki-67 index and ADC ratio (r = -0.528, p = 0.029) and FA ratio (r = 0.589, p = 0.012). rCBV and rMTT presented a trend towards significant correlation with Ki-67 index (r = 0.628, p = 0.07 and r = 0.644, p = 0.06 respectively). There was a trend towards better survival for patients with gross total tumour excision and FA values lower than 0.48 (p = 0.1 and p = 0.09 respectively). No significant correlation was found between ADC ratio, rCBV, rCBF, rMTT and overall survival. Conclusion: ADC ratio, FA ratio, rCBV and rMTT tumour/normal tissue ratios may represent indicators of glioma proliferation. FA values may hold promise for predicting survival in patients with glioblastoma. (C) 2011 Elsevier B.V. All rights reserved.en
heal.journalNameClin Neurol Neurosurgen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
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