Multiparametric Chemical Exchange Saturation Transfer MRI Detects Metabolic Changes in Mild Cognitive Impairment Cases at 3.0 Tesla

Abstract

This study aimed to assess the potential of multiparametric chemical exchange saturation transfer magnetic resonance imaging (CEST MRI) for MCI detection. Twenty-eight patients with MCI and 31 age- and gender-matched normal controls (NCs) were enrolled. CEST MRI was performed with a gradient and spin-echo sequence on a 3T scanner. Multi-parametric CEST parameters were analyzed, such as amide CEST, amine CEST, amine and amide concentration independent assay (AACID), magnetization transfer ratio yielding rex (MTR_rex-amide), and downfield rNOE suppressed apparent exchange-dependent relaxation amide proton (DNS-AREX-amide). Statistical analyses of CEST parameters were performed to evaluate group differences, their correlations with Montreal cognitive assessment (MoCA) score, and diagnostic performance for MCI. Compared with NC group, amide CEST as well as MTR_rex-amide decreased in the left hippocampus and amine CEST as well as AACID increased in the right hippocampus in the MCI group; In both hippocampi, the DNS-AREX-amide were significantly lower in the MCI group versus the NC group (all P < 0.05). Amine CEST in the right hippocampus was negatively correlated with MoCA score (r = − 0.457, p = 0.017); DNS-AREX-amide in the bilateral hippocampus was positively correlated with MoCA score (left: r = 0.449, P = 0.019; right: AUC = 0.529, P = 0.05). DNS-AREX-amide in the bilateral hippocampus have a good ability to identify MCI (left: AUC = 0.756, P < 0.01; right: AUC = 0.762, P < 0.01). CEST MRI provides a potential imaging diagnostic strategy for MCI, which may promote early detection of MCI and provide novel insights into the pathological progress toward AD.