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000151491 1001_ $$0P:(DE-HGF)0$$aÖzden, Cansu$$b0$$eCorresponding author
000151491 245__ $$aFDG Uptake in the Basal Forebrain as Measured by Digital High-Resolution PET Is a Promising Marker of Basal Forebrain Degeneration in the Lewy Body Disease Spectrum
000151491 260__ $$a[S.l.]$$bOvid$$c2020
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000151491 520__ $$aPurpose Cognitive decline in diseases of the Lewy body spectrum (LBS) is linked to dysfunction/degeneration of the basal forebrain (BF). Assessment of glucose metabolism in the BF by FDG PET is hampered by the small size of the BF and limited spatial resolution of conventional PET. This pilot study tested the feasibility of assessing BF glucose metabolism by high-resolution digital PET (dPET).Patients and Methods The retrospective study included 12 LBS patients (61–86 years, 5 demented). Whole-brain stereotactic normalization to anatomical standard space was followed by local stereotactic normalization of a 7 × 7 × 7-cm3 box around the BF to a custom-made 1 × 1 × 1-mm3 FDG dPET template. FDG uptake was scaled voxelwise to mean FDG uptake in the pons. Scaled FDG uptake in the BF was compared between demented and nondemented LBS patients and tested for correlation with cortical FDG uptake.Results Scaled FDG uptake in the BF was significantly lower in demented compared with nondemented patients (1.14 ± 0.09 vs 1.25 ± 0.06, P = 0.031). Brain-wide voxel-based testing for correlations with scaled FDG uptake in the BF revealed a large cluster comprising medial and ventrolateral frontal cortex, anterior cingulate cortex, insular cortex, and striatum as well as smaller clusters in motor cortex and occipital cortex (P < 0.001, uncorrected).Conclusions These results suggest that dementia-associated BF degeneration in LBS can be sensitively measured as reduced BF FDG uptake on dPET. More accurate delineation of the BF based on individual high-resolution MRI might be useful to make optimal use of improved spatial resolution of dPET and to correct for possible disease- and age-dependent partial volume effects.
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000151491 7001_ $$aFrings, Lars$$b1
000151491 7001_ $$aApostolova, Ivayla$$b2
000151491 7001_ $$0P:(DE-HGF)0$$aLange, Catharina$$b3
000151491 7001_ $$aKlutmann, Susanne$$b4
000151491 7001_ $$aAdam, Gerhard$$b5
000151491 7001_ $$aBannas, Peter$$b6
000151491 7001_ $$aMeyer, Philipp T.$$b7
000151491 7001_ $$0P:(DE-2719)2810708$$aGrothe, Michel J.$$b8$$udzne
000151491 7001_ $$aBuchert, Ralph$$b9
000151491 77318 $$2Crossref$$3journal-article$$a10.1097/rlu.0000000000002960$$b : Ovid Technologies (Wolters Kluwer Health), 2020-04-01$$n4$$p261-266$$tClinical Nuclear Medicine$$v45$$x0363-9762$$y2020
000151491 773__ $$0PERI:(DE-600)2045053-9$$a10.1097/RLU.0000000000002960$$gVol. 45, no. 4, p. 261 - 266$$n4$$p261-266$$tClinical nuclear medicine$$v45$$x0363-9762$$y2020
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