학술논문
Prediction of Treatment Response to Donepezil using Automated Hippocampal Subfields Volumes Segmentation in Patients with Mild Alzheimer’s Disease
이용수 1
- 영문명
- 발행기관
- 대한신경정신의학회
- 저자명
- YooHyun Um TaeWon Kim JongHyun Jeong HoJun Seo JinHee Han SeungChul Hong ChangUk Lee HyunKook Lim
- 간행물 정보
- 『Psychiatry Investigation』제14권 제5호, 698~702쪽, 전체 5쪽
- 주제분류
- 의약학 > 정신과학
- 파일형태
- 발행일자
- 2017.09.30
4,000원
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국문 초록
영문 초록
Previous studies reported some relationships between donepezil treatment and hippocampus in Alzheimer’s disease (AD). However, due to methodological limitations, their close relationships remain unclear. The aim of this study is to predict treatment response to donepezil by utilizing the automated segmentation of hippocampal subfields volumes (ASHS) in AD. Sixty four AD patients were prescribed with donepezil and were followed up for 24 weeks. Cognitive function was measured to assess whether there was a response from the donepezil treatment. ASHS was implemented on non-responder (NR) and responder (TR) groups, and receiver operator characteristic (ROC) analysis was conducted to evaluate the sensitivity, specificity, and accuracy of hippocampal subfields in predicting response to donepezil. The left total hippocampus and the CA1 area of the NR were significantly smaller than those of the TR group. The ROC curve analysis showed the left CA1 volumes showed highest area under curve (AUC) of 0.85 with a sensitivity of 88.0%, a specificity of 74.0% in predicting treatment response to donepezil treatment. We expect that hippocampal subfields volume measurements that predict treatment responses to current AD drugs will enable more evidence-based, individualized prescription of medications that will lead to more favorable treatment outcomes.
목차
INTRODUCTION
METHODS
RESULTS
DISCUSSION
ACKNOWLEDGEMENTS
REFERENCES
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