| Literature DB >> 33422890 |
Toji Miyagawa1, Scott A Przybelski2, Daniela Maltais3, Hoon-Ki Min3, Lennon Jordan3, Timothy G Lesnick2, Qin Chen3, Jonathan Graff-Radford1, David Jones1, Rodolfo Savica1, David Knopman1, Ronald Petersen1, Walter K Kremers2, Leah K Forsberg1, Julie A Fields4, Tanis J Ferman5, Laura Allen1, Joseph Parisi6, R Ross Reichard6, Melissa Murray7, Dennis Dickson7, Bradley F Boeve1, Kejal Kantarci3, Val J Lowe8.
Abstract
Reduced nigrostriatal uptake on N-(3-fluoropropyl)-2β-carbomethoxy-3β-(4-[123I]iodophenyl) nortropane (123I-FP-CIT) SPECT reflects dopamine dysfunction, while other imaging markers could be complementary when used together. We assessed how well 123I-FP-CIT SPECT differentiates dementia with Lewy bodies (DLBs) from Alzheimer's disease dementia (ADem) and whether multimodal imaging provides additional value. 123I-FP-CIT SPECT, magnetic resonance imaging, [18F]2-fluoro-deoxy-D-glucose-positron emission tomography (PET), and 11C-Pittsburgh compound B (PiB)-PET were assessed in 35 participants with DLBs and 14 participants with ADem (autopsy confirmation in 9 DLBs and 4 ADem). Nigrostriatal dopamine transporter uptake was evaluated with 123I-FP-CIT SPECT using DaTQUANT software. Hippocampal volume was calculated with magnetic resonance imaging, cingulate island sign ratio with FDG-PET, and global cortical PiB retention with PiB-PET. The DaTQUANT z-scores of the putamen showed the highest c-statistic of 0.916 in differentiating DLBs from ADem among the analyzed imaging biomarkers. Adding another imaging modality to 123I-FP-CIT SPECT had c-statistics ranging from 0.968 to 0.975, and 123I-FP-CIT SPECT in combination with 2 other imaging modalities presented c-statistics ranging from 0.987 to 0.996. These findings suggest that multimodal imaging with 123I-FP-CIT SPECT aids in differentiating DLBs and ADem and in detecting comorbid Lewy-related and Alzheimer's disease pathology in patients with DLBs and ADem.Entities:
Keywords: (123)I-FP-CIT SPECT; DaTQUANT; Dementia with Lewy bodies; FDG-PET; MRI; PiB-PET
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Year: 2020 PMID: 33422890 PMCID: PMC7902470 DOI: 10.1016/j.neurobiolaging.2020.12.009
Source DB: PubMed Journal: Neurobiol Aging ISSN: 0197-4580 Impact factor: 4.673