The combination of MMSE with VSRAD and eZIS has greater accuracy for discriminating mild cognitive impairment from early Alzheimer's disease than MMSE alone

Autor: Nobuyuki Tanaka, Norio Sugawara, Kazutaka Shimoda, Tatsunori Naraoka, Norio Yasui-Furukori, Koji Yachimori, Yoshio Terayama, Junko Takeuchi, Keita Tokumitsu
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
Physiology
Single Photon Emission Computed Tomography
Single-photon emission computed tomography
Audiology
Alzheimer's Disease
computer.software_genre
Logistic regression
Diagnostic Radiology
Medical Conditions
0302 clinical medicine
Voxel
Blood Flow
Medicine and Health Sciences
030212 general & internal medicine
Tomography
Cognitive Impairment
Univariate analysis
Multidisciplinary
medicine.diagnostic_test
Cognitive Neurology
Radiology and Imaging
Brain
Neurodegenerative Diseases
Mental Status and Dementia Tests
Magnetic Resonance Imaging
Body Fluids
Blood
Neurology
Cerebral blood flow
Cerebrovascular Circulation
Alzheimer's Disease Diagnosis and Management
Medicine
Female
Anatomy
Research Article
medicine.medical_specialty
Imaging Techniques
Cognitive Neuroscience
Science
Neuroimaging
Research and Analysis Methods
03 medical and health sciences
Signs and Symptoms
Alzheimer Disease
Diagnostic Medicine
mental disorders
Mental Health and Psychiatry
medicine
Humans
Dementia
Cognitive Dysfunction
Aged
Tomography
Emission-Computed
Single-Photon
Receiver operating characteristic
business.industry
Biology and Life Sciences
Magnetic resonance imaging
medicine.disease
ROC Curve
Cognitive Science
Clinical Medicine
Atrophy
business
computer
030217 neurology & neurosurgery
Neuroscience
Zdroj: PLoS ONE, Vol 16, Iss 2, p e0247427 (2021)
PLoS ONE
ISSN: 1932-6203
Popis: 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. Many hospitals use the automated quantitative evaluation method known as the Voxel-based Specific Regional Analysis System for Alzheimer’s Disease (VSRAD), wherein brain MRI data are used to evaluate brain morphological abnormalities associated with AD. 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 in this study. All participants underwent MRI, SPECT, and the Mini-Mental State Examination (MMSE). Demographic and clinical characteristics were assessed by univariate analysis, and logistic regression analysis with a combination of MMSE, 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. The AUC was significantly improved to 0.870 by combining the MMSE score with two quantitative indicators from the VSRAD and eZIS that assessed the extent of brain abnormalities. Conclusion Compared with the MMSE score alone, the combination of the MMSE score with the VSRAD and eZIS indicators significantly improves the accuracy of discrimination between patients with MCI and early AD. Implementing VSRAD and eZIS does not require professional clinical experience in the treatment of dementia. Therefore, the accuracy of dementia diagnosis by physicians may easily be improved in real-world primary care settings.
Databáze: OpenAIRE
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