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Establishing Regional Aβ Cutoffs and Exploring Subgroup Prevalence Across Cognitive Stages Using BeauBrain Amylo^®

Establishing Regional Aβ Cutoffs and Exploring Subgroup Prevalence Across Cognitive Stages Using BeauBrain Amylo^®

Seongbeom Park ¹, Kyoungmin Kim ², Soyeon Yoon ², Seongmi Kim ², Jehyun Ahn ², Kyoung Yoon Lim ¹, Hyemin Jang ³, Duk L Na ^1,4, Hee Jin Kim ^2,5,6,7,8, Seung Hwan Moon ⁹, Jun Pyo Kim ⁵, Sang Won Seo ^2,5,6,7,8, Jaeho Kim ¹⁰, Kichang Kwak ¹

Seongbeom Park ¹, Kyoungmin Kim ², Soyeon Yoon ²

¹BeauBrain Healthcare, Inc., Seoul, Korea.
²Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.
³Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
⁴Department of Neurology, Happymind Clinic, Seoul, Korea.
⁵Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
⁶Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
⁷Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea.
⁸Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.
⁹Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
¹⁰Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea.

⁰BeauBrain Healthcare, Inc., Seoul, Korea.

Dementia and Neurocognitive Disorders +

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May 5, 2025

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View abstract on PubMed

Summary

This summary is machine-generated.

This study developed a CT-based method for regional amyloid-beta quantification in Alzheimer's disease, establishing cutoffs to classify patient subgroups across cognitive stages.

Area Of Science

Neurology
Radiology
Biomarkers

Background

Amyloid-beta (Aβ) plaques are central to Alzheimer's disease (AD) pathology.
Positron emission tomography (PET) enables Aβ quantification, but often requires MRI.
Regional Centiloid scales (rdcCL) were developed for regional Aβ deposition analysis.

Purpose Of The Study

Establish robust regional Aβ cutoffs using a commercialized CT-based platform (BeauBrain Amylo).
Explore the prevalence of Aβ subgroups defined by global, regional, and striatal cutoffs across cognitive stages.

Main Methods

Utilized data from 2,428 individuals from the Korea-Registries to Overcome Dementia and Accelerate Dementia Research project.
Calculated regional Aβ cutoffs via Gaussian Mixture Modeling.
Classified participants into subgroups based on Aβ positivity across cognitive stages (cognitively unimpaired, mild cognitive impairment, dementia).

Main Results

CT-based and MRI-based global Aβ cutoffs showed high comparability.
Regional cutoffs revealed modality-specific differences due to segmentation.
Specific Aβ subgroup prevalences varied across cognitive stages and brain regions.

Conclusions

Established robust regional Aβ cutoffs using a CT-based rdcCL method.
Demonstrated clinical utility in classifying amyloid subgroups across cognitive stages.
Highlighted the importance of regional Aβ quantification for AD diagnosis and treatment.

Keywords:

Alzheimer Disease Amyloid Plaques Cognition Disorders Positron-Emission Tomography Tomography, X-Ray Computed

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Alzheimer's Disease: Overview

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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...

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