ArticleAnnals of translational medicine2022
Combining PET with MRI to improve predictions of progression from mild cognitive impairment to Alzheimer's disease: an exploratory radiomic analysis study.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Evaluating EEG complexity and spectral signatures in Alzheimer's disease and frontotemporal dementia: evidence for rostrocaudal asymmetry.npj aging · 2025Article
- Age- and Sex-Specific Gut Microbiota Signatures Associated with Dementia-Related Brain Pathologies: An LEfSe-Based Metagenomic Study.Brain sciences · 2025Article
- Multi-Modal Fusion and Longitudinal Analysis for Alzheimer's Disease Classification Using Deep Learning.Diagnostics (Basel, Switzerland) · 2025Article
- Early detection and classification of Alzheimer's disease through data fusion of MRI and DTI images using the YOLOv11 neural network.Frontiers in neuroscience · 2025Article
- Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Current Trends and Applications of PET/MRI Hybrid Imaging in Neurodegenerative Diseases and Normal Aging.Diagnostics (Basel, Switzerland) · 2024Review
- The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Radiomics insight into the neurodegenerative "Frontiers in nuclear medicine · 2023Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Background: This study aimed to explore the potential of a combination of 18F-fluorodeoxyglucose positron emission tomography ( Methods: This study enrolled 377 patients with MCI and 94 healthy control participants from 2 medical centers. Enrolment was based on the patients' brain MRI and PET images. Radiomic analysis was performed to evaluate the predictive performance of dual-modality Results: The C-indices for the two test datasets were 0.77 and 0.80 for dual-modality Conclusions: These results indicate the value of imaging features in monitoring the progress of MCI in populations at high risk of developing AD. However, the incremental benefit of combining
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Registered trials
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