Comparison of Alzheimer’s disease patients and healthy controls in the easy Z-score imaging system with differential image reconstruction methods using SPECT/CT: verification using normal database of our institution

Ohba, Makoto; Kobayashi, Ryota; Kirii, Kazukuni; Fujita, Katsushi; Kanezawa, Chika; Hayashi, Hiroshi; Kawakatsu, Shinobu; Otani, Koichi; Kanoto, Masafumi; Suzuki, Kôji

doi:10.1007/s12149-020-01562-8

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Because of its slow and insidious onset, the early stages of AD can be confused with relatively mild memory impairments that are associated with normal ageing. The early symptomatic phase of AD, commonly referred as a mild cognitive impairment (MCI), can be indistinguishable on bedside clinical examination from normal ageing, but the disease is more readily identified by means of neuropsychological testing with or without an aid of other diagnostic procedures, such as CT, MRI or PET scans [23,24].…”

Section: Discussionmentioning

confidence: 99%

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Epidemiology of Alzheimer’s disease in the Odesa region

Khubetova

Voloshchuk

Kosenko³

et al. 2023

ZMJ

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The aim of the work was to study the epidemiology of Alzheimer’s disease in the Odesa region. Materials and methods. The study was carried out on the basis of the Regional Mental Health Center (Odesa) in 2016–2021. The data of the primary referral of patients with a verified diagnosis of Alzheimer’s disease were analyzed. Statistical processing of the obtained data was performed by frequency analysis methods using standard MS Excel packages (Microsoft Inc., USA). The population of the Odesa region was determined according to the State Statistics Service of Ukraine. Results. According to the retrospective analysis over the past 5 years, there was a constant increase in the number of identified patients with Alzheimer’s disease, from 4.9 cases per 100,000 population in 2016 to 6.0 cases in 2020 with a slight predominance of women in the structure of cases. Brain MRI was performed only in 29 (4.6 %) patients, EEG in 41 (6.5 %) patients. There were no cases of familial Alzheimer’s disease or early-onset Alzheimer’s disease. In 2020, Alzheimer’s and dementia deaths reached 14,196 or 2.54 % of total mortality in Ukraine. Conclusions. The prevalence of Alzheimer’s disease was 6.0 cases per 100,000 in the population of the Odesa region at the end of 2021, which was an order of magnitude less than the global average. The mean score on the MMSE scale was 18.6 ± 0.5. The analysis on subscales has shown the prevalence of memory, spatial orientation and verbal disorders. The Ukrainian population is characterized by the small number of patients of the older age group (3.3 %) and the predominance of female patients (59.4 %).

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Section: Discussionmentioning

confidence: 99%

“…Functional imaging is clinically helpful in distinguishing dementia with Lewy bodies from other causes of dementia because dopamine depletion can be detected by dopamine transporter (DAT) scans. In moderate dementia, when dementia with Lewy bodies is suspected, a normal DAT scan reliably excludes dementia with Lewy bodies [9,23,24].…”

Section: Discussionmentioning

confidence: 99%

Epidemiology of Alzheimer’s disease in the Odesa region

Khubetova

Voloshchuk

Kosenko³

et al. 2023

ZMJ

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Reduced cerebral blood flow of lingual gyrus associated with both cognitive impairment and gait disturbance in patients with idiopathic normal pressure hydrocephalus

Suzuki

Iseki

Igari

et al. 2022

Journal of the Neurological Sciences

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Comprehensive Data Augmentation Approach Using WGAN-GP and UMAP for Enhancing Alzheimer’s Disease Diagnosis

Yuda,

Ando,

Kaneko

et al. 2024

Electronics

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In this study, the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) was used to improve the diagnosis of Alzheimer’s disease using medical imaging and the Alzheimer’s disease image dataset across four diagnostic classes. The WGAN-GP was employed for data augmentation. The original dataset, the augmented dataset and the combined data were mapped using Uniform Manifold Approximation and Projection (UMAP) in both a 2D and 3D space. The same combined interaction network analysis was then performed on the test data. The results showed that, for the test accuracy, the score was 30.46% for the original dataset (unbalanced), whereas for the WGAN-GP augmented dataset (balanced), it improved to 56.84%, indicating that the WGAN-GP augmentation can effectively address the unbalanced problem.

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Comparison of Alzheimer’s disease patients and healthy controls in the easy Z-score imaging system with differential image reconstruction methods using SPECT/CT: verification using normal database of our institution

Cited by 4 publications

References 17 publications

Epidemiology of Alzheimer’s disease in the Odesa region

Epidemiology of Alzheimer’s disease in the Odesa region

Reduced cerebral blood flow of lingual gyrus associated with both cognitive impairment and gait disturbance in patients with idiopathic normal pressure hydrocephalus

Comprehensive Data Augmentation Approach Using WGAN-GP and UMAP for Enhancing Alzheimer’s Disease Diagnosis

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