Yinghua Chen, Hillary Protas, Ji Luo, Shan Li, Javad Sohankar, Chen-Ray Pan, Valentina Ghisays, Wendy Lee, Teresa Wu, Ding-Geng Chen, Eric M Reiman, Kewei Chen, Yi Su
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引用次数: 0
Abstract
Introduction: Amyloid positron emission tomography (PET) allows in vivo measurement of amyloid plaque deposition; however, different tracers lead to different results. We test the hypothesis that the variability in amyloid measurements is related to white matter retention, and accounting for this variability can improve agreements.
Methods: Data from the Centiloid project was downloaded and processed for four F18 tracer-to-Pittsburgh Compound B (PiB) pairs to obtain mean cortical standardized uptake value ratio (MCSUVR). Three approaches were examined to account for white matter contribution to the MCSUVR. Pearson's correlation was used to assess the between tracer agreements. Steiger's test was used to determine the significance of improvement.
Results: Accounting for white matter signal improves the agreement. The regional spread function partial volume correction (RSF PVC) method was most consistent in achieving statistically significant improvements (p < 0.05) for all four tracer pairs.
Discussion: Between-tracer agreement of amyloid measure can be improved by accounting for white matter signal. Further investigation is ongoing for additional improvement.
Highlights: Analyzing head-to-head data for all four common F18-labeled tracers against Pittsburgh Compound B (PiB).Evaluating three different techniques to correct for white matter signal.Steiger's test to determine the significance of improvements.White matter uptake contributes to the between-tracer measurement difference.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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