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dc.creatorValotassiou, V.en
dc.creatorPapatriantafyllou, J.en
dc.creatorSifakis, N.en
dc.creatorTzavara, C.en
dc.creatorTsougos, I.en
dc.creatorPsimadas, D.en
dc.creatorKapsalaki, E.en
dc.creatorFezoulidis, I.en
dc.creatorHadjigeorgiou, G.en
dc.creatorGeorgoulias, P.en
dc.date.accessioned2015-11-23T10:53:08Z
dc.date.available2015-11-23T10:53:08Z
dc.date.issued2014
dc.identifier.issn1567-2050
dc.identifier.urihttp://hdl.handle.net/11615/34262
dc.description.abstractDespite the known validity of clinical diagnostic criteria, significant overlap of clinical symptoms between Frontotemporal dementia (FTD) subtypes exists in several cases, resulting in great uncertainty of the diagnostic boundaries. We evaluated the perfusion between FTD subtypes using brain perfusion Tc-99m-HMPAO SPECT with Brodmann areas (BA) mapping. NeuroGam (TM) software was applied on single photon emission computed tomographic (SPECT) studies for the semi-quantitative evaluation of perfusion in BA and the comparison with the software's normal database. We studied 91 consecutive FTD patients: 21 with behavioural variants (bvFTD), 39 with language variants (lvFTD) [ 12 with progressive non-fluent aphasia (PNFA), 27 with semantic dementia (SD)], and 31 patients with progressive supranuclear palsy (PSP)/corticobasal degeneration (CBD). Stepwise logistic regression analyses showed that the BA 28L and 32R could independently differentiate bvFTD from lvFTD, while the BA 8R and 25R could discriminate bvFTD from SD and PNFA, respectively. Additionally, BA 7R and 32R were found to discriminate bvFTD from CBD/PSP. The only BA that could differentiate SD from PNFA was 6L. BA 6R and 20L were found to independently differentiate CBD/PSP from lvFTD. Moreover, BA 20L and 22R could discriminate CBD/PSP from PNFA, while BA 6R, 20L and 45R were found to independently discriminate CBD/PSP from SD. Brain perfusion SPECT with BA mapping can be a useful additional tool in differentiating FTD variants by improving the definition of brain areas that are specifically implicated, resulting in a more accurate differential diagnosis in atypical or uncertain forms of FTD.en
dc.source.uri<Go to ISI>://WOS:000345895700004
dc.subjectBrain perfusion imagingen
dc.subjectbrodmann areasen
dc.subjectfrontotemporal dementiaen
dc.subjectSPECTen
dc.subjectPRIMARY-PROGRESSIVE-APHASIAen
dc.subjectVOXEL-BASED MORPHOMETRYen
dc.subjectCEREBRALen
dc.subjectGLUCOSE-METABOLISMen
dc.subjectTEMPORAL-LOBE ATROPHYen
dc.subjectSEMANTIC DEMENTIAen
dc.subjectCORTICOBASAL DEGENERATIONen
dc.subjectALZHEIMERS-DISEASEen
dc.subjectNONFLUENT APHASIAen
dc.subjectSUPRANUCLEAR PALSYen
dc.subjectEMISSION-TOMOGRAPHYen
dc.subjectClinical Neurologyen
dc.subjectNeurosciencesen
dc.titleBrain Perfusion SPECT with Brodmann Areas Analysis in Differentiating Frontotemporal Dementia Subtypesen
dc.typejournalArticleen


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