MRI-to-PET synthesis via deep learning for amyloid-β quantification in Alzheimer’s disease

Question Amyloid-β (Aβ) PET limitations (high cost, radiation, limited access) hinder early Alzheimer's disease (AD) detection. Clinical practice urgently requires a suitable supplementary method for Aβ pathology assessment. Findings AI-synthesized 3D Synthetic Aβ PET from structural MRI demonstrated strong consistency with real PET and effectively triaged high-risk patients for confirmatory scans. Clinical relevance This non-invasive, cost-effective method holds the promise of enabling wider Aβ pathology screening, reduces unnecessary PET scans, and supports early intervention in resource-limited settings, while preserving diagnostic rigor for treatment decisions.

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Publication Details

Journal
European Radiology
Published
2026-01-07
DOI
https://doi.org/10.1007/s00330-025-12251-3
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
33.12

Funders

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article

MRI-to-PET synthesis via deep learning for amyloid-β quantification in Alzheimer’s disease

SW Li, Silun Wang, Fang Wang, Zhifeng Qi et al.
1 citations
European Radiology
Dementia and Cognitive Impairment Research
33.12
article

MRI-to-PET synthesis via deep learning for amyloid-β quantification in Alzheimer’s disease

SW Li, Silun Wang, Fang Wang, Zhifeng Qi, X Li, Huanhui Xiao, S Q Yan, Y H Shan, Zhigeng Chen, Zhigang Qi, Bixiao Cui, Yanru Wang, for the Alzheimer’s Disease Neuroimaging Initiative, Tao Wang, Ying Han, Jie Lu, Sheng Bi
article en
1 citations

Abstract

Question Amyloid-β (Aβ) PET limitations (high cost, radiation, limited access) hinder early Alzheimer's disease (AD) detection. Clinical practice urgently requires a suitable supplementary method for Aβ pathology assessment. Findings AI-synthesized 3D Synthetic Aβ PET from structural MRI demonstrated strong consistency with real PET and effectively triaged high-risk patients for confirmatory scans. Clinical relevance This non-invasive, cost-effective method holds the promise of enabling wider Aβ pathology screening, reduces unnecessary PET scans, and supports early intervention in resource-limited settings, while preserving diagnostic rigor for treatment decisions.

European Radiology
Hebei Medical University (CN), Ministry of Education of the People's Republic of China (CN), Capital Medical University (CN), Huawei Technologies (China) (CN), Imaging, Brain, and Neuropsychiatry (FR), Ministry of Education (SA), First Affiliated Hospital of Hebei Medical University (CN), Nanjing Medical University (CN)
U.S. Department of Defense, Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, University of Southern California, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Novartis Pharmaceuticals Corporation, Northern California Institute for Research and Education, National Natural Science Foundation of China, Eisai, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Canadian Institutes of Health Research
Openalex Percentile: Top 2%
Dementia and Cognitive Impairment Research
33.12
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