The combination of MMSE with VSRAD and eZIS has greater accuracy for discriminating mild cognitive impairment from early Alzheimer’s disease than MMSE alone
Type: dissertation
Study design: Observational Study
Abstract: Background: Alzheimer's disease (AD) is assessed by carefully examining a patient's cognitive impairment.However, previous studies reported inadequate diagnostic accuracy for dementia in primary care settings.The automated quantitative evaluation called the Voxel-based Specific Regional analysis system for Alzheimer's Disease (VSRAD) that uses brain MRI data to evaluate brain morphological abnormalities associated with AD, is used in many hospitals.Similarly, an automated quantitative evaluation application called the easy Z-score imaging system (eZIS), which uses brain SPECT data to detect regional cerebral blood flow decreases associated with AD, is widely used.These applications have several indicators, each of which is known to correlate with the degree of AD.However, it is not completely known whether these indicators work better when used in combination in real-world clinical practice.Methods: We included 112 participants with mild cognitive impairment (MCI) and 128 participants with early AD participants in this study.All participants underwent MRI, SPECT, and the Mini-Mental State Examination (MMSE).Demographic and clinical characteristics were assessed in univariate analysis, and logistic regression analysis with a combination of MMSE and VSRAD and eZIS indicators was performed to verify whether the diagnostic accuracy in discriminating between MCI and early AD was improved.Results: The area under the receiver operating characteristic curve (AUC) for the MMSE score alone was 0.835.Combining the MMSE score with two quantitative indicators from the VSRAD and eZIS that assessed the extent of brain abnormalities significantly improved the AUC to 0.870.Conclusion: Compared with the MMSE score alone, combining the MMSE score with the VSRAD and eZIS indicators significantly improved the accuracy of discrimination between patients with MCI and early AD.Implementing VSRAD and eZIS does not require professional clinical experience of treatment in dementia.Therefore, physicians may easily improve the accuracy of dementia diagnosis in real-world primary care settings.
Author: 德満, 敬大
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7208192363