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CT-derived brain volumes and plasma p-Tau217 for risk stratification of amyloid positivity in early-stage Alzheimer’s disease

Abstract Background Early detection of amyloid-β (Aβ) pathology is critical for timely intervention in Alzheimer’s disease (AD). While Aβ positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarkers are accurate, their high cost and limited accessibility hinder routine use. We develop...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sohyun Yim, Seongbeom Park, Kyoung Yoon Lim, Heekyoung Kang, Daeun Shin, Hyemin Jang, Michael Weiner, Henrik Zetterberg, Kaj Blennow, Fernando Gonzalez-Ortiz, Nicholas J. Ashton, Sung Hoon Kang, Jihwan Yun, Minyoung Chun, Eunjoo Kim, Heejin Kim, Duk L. Na, Jun Pyo Kim, Sang Won Seo, Kichang Kwak, K-ROAD study
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2025-10-01
Schriftenreihe:Alzheimer’s Research & Therapy
Schlagworte:
Alzheimer’s disease
Two-stage diagnostic workflow
Amyloid status
Computed tomography
Plasma p-tau217
Machine learning
Online-Zugang:https://doi.org/10.1186/s13195-025-01870-z
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