Applicability of Amyloid Intensity Histograms and Amyloid Beta Status Correlations on Segmented Positron Emission Tomography Scans for Alzheimer’s Diagnosis
Book Chapter
Adeyosoye, M, Yan Liang, T, Cui, X et al. (2027). Applicability of Amyloid Intensity Histograms and Amyloid Beta Status Correlations on Segmented Positron Emission Tomography Scans for Alzheimer’s Diagnosis
. 2973 CCIS 200-214. 10.1007/978-3-032-28472-3_16
Adeyosoye, M, Yan Liang, T, Cui, X et al. (2027). Applicability of Amyloid Intensity Histograms and Amyloid Beta Status Correlations on Segmented Positron Emission Tomography Scans for Alzheimer’s Diagnosis
. 2973 CCIS 200-214. 10.1007/978-3-032-28472-3_16
The Neuroimaging Web Services Interface (NWSI), developed by FIU’s research team with the Center for Advanced Technology and Education (CATE), enables researchers to analyze neural scans using the Papaya medical image viewer. It visualizes PET scans for diagnosing amyloid positivity/negativity (Aβ+/Aβ-) related to Alzheimer’s disease (AD). Diagnosis relies on experienced doctors interpreting Standardized Uptake Value Ratios (SUVR) against a threshold. This study introduces a histogram-based method for visualizing PET scans, using Python libraries to highlight cortical and disease-prone areas such as the Hippocampus. The histogram’s statistical measures, such as kurtosis and skewness, provide insights into amyloid load and disease progression, potentially enhancing diagnosis when SUVR values fall within uncertain ranges. The primary objective of this study is to examine the relationship between the skewness of amyloid PET data histograms and the progression of Alzheimer’s Disease (AD), with a focus on how skewness changes as the disease advances. Specifically, we hypothesize that as Alzheimer’s disease progresses, the skewness of the histogram will become more negative, reflecting an increased concentration of amyloid-beta (Aβ) uptake in brain regions such as the posterior cingulate, precuneus, and frontal cortex, as well as the specific disease-prone region of the Hippocampus. This shift in skewness is more pronounced in Aβ-positive individuals, providing further support for the use of Aβ positivity as a biomarker for Alzheimer’s disease. Additionally, the study aims to explore how histograms of amyloid PET data can differentiate between normal cognition (NC), impaired not SCD/MCI (InSM), subjective cognitive decline (SCD), early mild cognitive decline (EMCI), late mild cognitive impairment (LMCI), and dementia (AD) groups based on their skewness profiles and their Aβ status.
