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Article: The Use of Diffusion Kurtosis Imaging for the Differential Diagnosis of Alzheimer’s Disease Spectrum
Title | The Use of Diffusion Kurtosis Imaging for the Differential Diagnosis of Alzheimer’s Disease Spectrum |
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Authors | |
Issue Date | 1-Mar-2023 |
Publisher | MDPI |
Citation | Brain Sciences, 2023, v. 13, n. 4, p. 595 How to Cite? |
Abstract | Structural and diffusion kurtosis imaging (DKI) can be used to assess hippocampal macrostructural and microstructural alterations respectively, in Alzheimer’s disease (AD) spectrum, spanning from subjective cognitive decline (SCD) to mild cognitive impairment (MCI) and AD. In this study, we explored the diagnostic performance of structural imaging and DKI of the hippocampus in the AD spectrum. Eleven SCD, thirty-seven MCI, sixteen AD, and nineteen age- and sex-matched normal controls (NCs) were included. Bilateral hippocampal volume, mean diffusivity (MD), and mean kurtosis (MK) were obtained. We detected that in AD vs. NCs, the right hippocampal volume showed the most prominent AUC value (AUC = 0.977); in MCI vs. NCs, the right hippocampal MD was the most sensitive discriminator (AUC = 0.819); in SCD vs. NCs, the left hippocampal MK was the most sensitive biomarker (AUC = 0.775). These findings suggest that, in the predementia stage (SCD and MCI), hippocampal microstructural changes are predominant, and the best discriminators are microstructural measurements (left hippocampal MK for SCD and right hippocampal MD for MCI); while in the dementia stage (AD), hippocampal macrostructural alterations are superior, and the best indicator is the macrostructural index (right hippocampal volume). |
Persistent Identifier | http://hdl.handle.net/10722/328339 |
DC Field | Value | Language |
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dc.contributor.author | Zhang, HQ | - |
dc.contributor.author | Wang, ZJ | - |
dc.contributor.author | Chan, KH | - |
dc.contributor.author | Shea, YF | - |
dc.contributor.author | Lee, CY | - |
dc.contributor.author | Chiu, PKC | - |
dc.contributor.author | Cao, P | - |
dc.contributor.author | Mak, HKF | - |
dc.date.accessioned | 2023-06-28T04:42:38Z | - |
dc.date.available | 2023-06-28T04:42:38Z | - |
dc.date.issued | 2023-03-01 | - |
dc.identifier.citation | Brain Sciences, 2023, v. 13, n. 4, p. 595 | - |
dc.identifier.uri | http://hdl.handle.net/10722/328339 | - |
dc.description.abstract | <p>Structural and diffusion kurtosis imaging (DKI) can be used to assess hippocampal macrostructural and microstructural alterations respectively, in Alzheimer’s disease (AD) spectrum, spanning from subjective cognitive decline (SCD) to mild cognitive impairment (MCI) and AD. In this study, we explored the diagnostic performance of structural imaging and DKI of the hippocampus in the AD spectrum. Eleven SCD, thirty-seven MCI, sixteen AD, and nineteen age- and sex-matched normal controls (NCs) were included. Bilateral hippocampal volume, mean diffusivity (MD), and mean kurtosis (MK) were obtained. We detected that in AD vs. NCs, the right hippocampal volume showed the most prominent AUC value (AUC = 0.977); in MCI vs. NCs, the right hippocampal MD was the most sensitive discriminator (AUC = 0.819); in SCD vs. NCs, the left hippocampal MK was the most sensitive biomarker (AUC = 0.775). These findings suggest that, in the predementia stage (SCD and MCI), hippocampal microstructural changes are predominant, and the best discriminators are microstructural measurements (left hippocampal MK for SCD and right hippocampal MD for MCI); while in the dementia stage (AD), hippocampal macrostructural alterations are superior, and the best indicator is the macrostructural index (right hippocampal volume).<br></p> | - |
dc.language | eng | - |
dc.publisher | MDPI | - |
dc.relation.ispartof | Brain Sciences | - |
dc.title | The Use of Diffusion Kurtosis Imaging for the Differential Diagnosis of Alzheimer’s Disease Spectrum | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/brainsci13040595 | - |
dc.identifier.hkuros | 344704 | - |
dc.identifier.volume | 13 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 595 | - |
dc.identifier.eissn | 2076-3425 | - |
dc.identifier.issnl | 2076-3425 | - |