ArticleFrontiers in aging neuroscience2024
Comparison between morphometry and radiomics: detecting normal brain aging based on grey matter.
Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Structural brain alterations associated with brain age may link to social dysfunction in male adults with autism spectrum disorder.Frontiers in neuroscience · 2026Article
- Voxel- and surface-based morphometry in the cortical thickness and cortical and subcortical gray matter volume in patients with mild-to-moderate Alzheimer's disease.Frontiers in aging neuroscience · 2025Article
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6 authors.
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Abstract
Objective: Voxel-based morphometry (VBM), surface-based morphometry (SBM), and radiomics are widely used in the field of neuroimage analysis, while it is still unclear that the performance comparison between traditional morphometry and emerging radiomics methods in diagnosing brain aging. In this study, we aimed to develop a VBM-SBM model and a radiomics model for brain aging based on cognitively normal (CN) individuals and compare their performance to explore both methods' strengths, weaknesses, and relationships. Methods: 967 CN participants were included in this study. Subjects were classified into the middle-aged group ( Results: The AUCs of the VBM-SBM model and radiomics model were 0.697 and 0.778 in the training set ( Conclusion: The radiomics model achieved better performance than the VBM-SBM model. Radiomics provides a good option for researchers who prioritize performance and generalization, whereas VBM-SBM is more suitable for those who emphasize interpretability and clinical practice.
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