Background Finding an early biomarker of Alzheimer’s disease (AD) is essential to develop and implement early treatments. Much research has focused on using hippocampal volume to measure neurodegeneration in aging and Alzheimer’s disease (AD). However, a new method to measure hippocampal change, known as hippocampal grading, has shown enhanced predictive power in older adults. It is unknown whether this method can capture hippocampal changes at each progressive stage of AD better than hippocampal volume. The goal of this study was to determine if hippocampal grading is more strongly associated with group differences between normal controls (NC), early MCI (eMCI), late (lMCI), and AD than hippocampal volume.

中文翻译：

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海马分级提供比海马体积更高的阿尔茨海默病预测准确性

背景寻找阿尔茨海默病 (AD) 的早期生物标志物对于开发和实施早期治疗至关重要。许多研究都集中在使用海马体积来测量衰老和阿尔茨海默病 (AD) 中的神经退行性变。然而，一种测量海马变化的新方法，称为海马分级，已显示出对老年人的预测能力增强。目前尚不清楚这种方法是否能比海马体积更好地捕捉到 AD 每个进展阶段的海马变化。本研究的目的是确定海马分级是否与正常对照组 (NC)、早期 MCI (eMCI)、晚期 (lMCI) 和 AD 之间的组差异比海马体积更密切相关。