WMH Growth/Regression Computation Method Can Serve as A Sensitive Neuroimaging Biomarker for CAA

The WMH growth/regression pipeline serves as a novel, sensitive neuroimaging biomarker for distinguishing CAA+ from CAA- groups, compared to traditional volumetric methods. This approach enhances the accuracy of CAA diagnosis and deepens our understanding of cerebrovascular disease (CVD)-related white matter pathology. Future research can expand the application of this method to other neurodegenerative disorders, including Alzheimer's disease, and explore its potential utility in clinical trials for CVD as a reliable imaging biomarker.