关键词: DTI MRI advances in computational neuroimaging for neurological diseases diffusion tensor imaging effect size magnetic resonance imaging neurodegenerative diseases signal-to-noise ratio

来  源:   DOI:10.3389/fnhum.2024.1378896   PDF(Pubmed)

Abstract:
Neuroimaging biomarkers have shown high potential to map the disease processes in the application to neurodegenerative diseases (NDD), e.g., diffusion tensor imaging (DTI). For DTI, the implementation of a standardized scanning and analysis cascade in clinical trials has potential to be further optimized. Over the last few years, various approaches to improve DTI applications to NDD have been developed. The core issue of this review was to address considerations and limitations of DTI in NDD: we discuss suggestions for improvements of DTI applications to NDD. Based on this technical approach, a set of recommendations was proposed for a standardized DTI scan protocol and an analysis cascade of DTI data pre-and postprocessing and statistical analysis. In summary, considering advantages and limitations of the DTI in NDD we suggest improvements for a standardized framework for a DTI-based protocol to be applied to future imaging studies in NDD, towards the goal to proceed to establish DTI as a biomarker in clinical trials in neurodegeneration.
摘要:
神经影像学生物标志物已显示出很高的潜力,可以将疾病过程应用于神经退行性疾病(NDD)。例如,扩散张量成像(DTI)。对于DTI,临床试验中标准化扫描和分析级联的实施有可能进一步优化.在过去的几年里,已经开发了各种改进DTI应用于NDD的方法。本综述的核心问题是解决NDD中DTI的考虑因素和局限性:我们讨论了改进DTI应用于NDD的建议。基于这种技术方法,针对标准化的DTI扫描协议以及DTI数据前后处理和统计分析的分析级联,提出了一系列建议.总之,考虑到DTI在NDD中的优势和局限性,我们建议对基于DTI的协议的标准化框架进行改进,以应用于NDD的未来成像研究。朝着在神经变性临床试验中建立DTI作为生物标志物的目标。
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