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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize
Hans-Peter Müller1, Jan Kassubek1
1Department of Neurology, Ulm University, Ulm, Germany.
Frontiers in Human Neuroscience
|April 17, 2024
Summary
Diffusion tensor imaging (DTI) shows promise for neurodegenerative diseases (NDD). This review suggests improvements for standardized DTI protocols and analysis to establish it as a reliable biomarker in clinical trials.
Area of Science:
- Neuroimaging
- Biomarkers
- Neurodegenerative Diseases
Background:
- Neuroimaging biomarkers, such as diffusion tensor imaging (DTI), hold significant potential for mapping disease progression in neurodegenerative diseases (NDD).
- Current implementation of DTI in clinical trials for NDD requires optimization, particularly in standardized scanning and analysis procedures.
Purpose of the Study:
- To review the considerations and limitations of Diffusion Tensor Imaging (DTI) in the context of neurodegenerative diseases (NDD).
- To propose suggestions for improving DTI applications in NDD research and clinical trials.
Main Methods:
- A comprehensive review of existing literature on DTI applications in neurodegenerative diseases.
- Analysis of current DTI protocols, including scanning, pre- and post-processing, and statistical analysis.
Main Results:
- Identified key limitations and challenges in the current application of DTI for NDD.
- Developed a set of recommendations for a standardized DTI scan protocol and a robust analysis cascade.
Conclusions:
- Standardization of DTI protocols and analysis is crucial for its reliable application as a biomarker in neurodegenerative disease clinical trials.
- Implementing a standardized framework will enhance the utility of DTI in future neuroimaging studies for NDD.
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