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Abstract #3052

Diagnosis of Alzheimer’s diseases using hippocampal metabolite ratios at the subfield level

Dadi Zhao1, Zhao Qing2, Bing Zhang2, and Yu Sun1

1Institute of Cancer and Genomics, University of Birmingham, Birmingham, United Kingdom, 2Department of Radiology, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, China

Hippocampal metabolite ratios can be used as clinical biomarkers to diagnose Alzheimer’s disease (AD), yet the metabolite ratios at a subfield level have been rarely reported, neither for its clinical diagnostic power. We aim to investigate the diagnostic power of metabolite ratios at a subfield level in AD with comparison to the whole level. A quantitative method of metabolite ratios was used, where 2D 1H-MRSI and 3D T1W volumetric MRI were co-registered. Statistical results show subfields have better diagnostic power than the whole hippocampus through metabolite ratios, and also prove the accuracy of the method for AD diagnosis.

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