Performance of 123I‐ioflupane SPECT striatal binding in dementia with Lewy bodies
Year: 2025
Type: article
Study design: Observational Study
Abstract: INTRODUCTION: We aimed to determine whether 123I-ioflupane single-photon emission computed tomography (SPECT) striatal binding ratio (SBR) correlated with parkinsonian motor symptoms in dementia with Lewy bodies (DLB) and if SBR predicts worsening of parkinsonism over time. METHODS: A retrospective cohort study of the U.S. Dementia with Lewy Bodies Consortium dataset including individuals with DLB with baseline 123I-ioflupane SPECT analyzed with DaTQUANT and baseline and 24-month Movement Disorder Society Unified Parkinson's Disease Rating Scale-Part III (MDS-UPDRS-III). A subset had cerebrospinal fluid α-synuclein seed amplification assay (SAA) evaluation. RESULTS: Baseline mean SBRs were significant predictors of baseline and 24-month MDS-UPDRS-III scores, although they did not predict meaningful worsening over time. SAA positivity was associated with lower SBRs; Z score cut-off values are provided. DISCUSSION: In suspected DLB, 123I-ioflupane SPECT, at diagnosis, could be used to confirm underlying dopamine deficiency; it does not predict meaningful worsening of motor parkinsonism. More severe dopamine deficiency increases confidence in presence of synucleinopathy. HIGHLIGHTS: 123I-ioflupane single-photon emission computed tomography (SPECT) can confirm underlying dopamine deficiency. Striatal binding ratio (SBR) Z scores predicted 24-month Unified Parkinson's Disease Rating Scale-Part III (UPDRS-III) scores. SBR Z scores are not predictive of subsequent meaningful worsening of parkinsonism. More severe dopamine dysfunction on SPECT is associated with presence of seed amplification assay (SAA). SBR Z score cut-offs that indicate cerebrospinal fluid SAA positivity are provided.
Source: The Medicine Forum
DOI: 10.17615/xq5j-f719
Authors: Zabetian, Cyrus P., Lapin, Brittany, Fleisher, Jori E., Lopez, Oscar L., Berman, Sarah, Galasko, Douglas, Lippa, Carol F., Leverenz, James B., Litvan, Irene, DiFilippo, Frank P., Taylor, Angela S., Li, Yadi, Bekris, Lynn M., Maly, Emily F., Galvin, James E., Bozoki, Andrea C., Irwin, David J., Tsuang, Debby W.
Institution: University of North Carolina at Chapel Hill
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4415310466
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