Prediction of post-stroke cognitive impairment using brain FDG PET: deep learning-based approach

被引：0
|
作者：
Reeree Lee
Hongyoon Choi
Kwang-Yeol Park
Jeong-Min Kim
Ju Won Seok
机构：
[1] Chung-Ang University College of Medicine,Department of Nuclear Medicine, Chung
[2] Seoul National University Hospital,Ang University Hospital
[3] Chung-Ang University College of Medicine,Department of Nuclear Medicine
[4] Seoul National University Hospital,Department of Neurology, Chung
来源：
European Journal of Nuclear Medicine and Molecular Imaging | 2022年 / 49卷
关键词：
Post-stroke cognitive impairment; Post-stroke dementia; [; F]FDG; Deep learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1254 / 1262
页数：8
相关论文
共 50 条
  • [41] Prediction of post-stroke cognitive impairment by Montreal Cognitive Assessment (MoCA) performances in acute stroke: comparison of three normative datasets
    Salvadori, Emilia
    Cova, Ilaria
    Mele, Francesco
    Pomati, Simone
    Pantoni, Leonardo
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2022, 34 (08) : 1855 - 1863
  • [42] Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation
    Lin, Wan-Yin
    Chen, Chun-Hsien
    Tseng, Yi-Ju
    Tsai, Yu-Ting
    Chang, Ching-Yu
    Wang, Hsin-Yao
    Chen, Chih-Kuang
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2018, 111 : 159 - 164
  • [43] Vascular and Neurodegenerative Markers for the Prediction of Post-Stroke Cognitive Impairment: Results from the TABASCO Study
    Molad, Jeremy
    Hallevi, Hen
    Korczyn, Amos D.
    Kliper, Efrat
    Auriel, Eitan
    Bornstein, Natan M.
    Ben Assayag, Einor
    JOURNAL OF ALZHEIMERS DISEASE, 2019, 70 (03) : 889 - 898
  • [44] Secondary thalamic atrophy related to brain infarction may contribute to post-stroke cognitive impairment
    Geng, Jieli
    Gao, Fuqiang
    Ramirez, Joel
    Honjo, Kie
    Holmes, Melissa F.
    Adamo, Sabrina
    Ozzoude, Miracle
    Szilagyi, Gregory M.
    Scott, Christopher J. M.
    Stebbins, Glen T.
    Nyenhuis, David L.
    Goubran, Maged
    Black, Sandra E.
    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2023, 32 (02):
  • [45] A Deep Learning-Based Approach for Foot Placement Prediction
    Lee, Sung-Wook
    Asbeck, Alan
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 8 (08) : 4959 - 4966
  • [46] Secondary Thalamic Atrophy Related to Brain Infarction is Associated With Post-Stroke Cognitive Impairment.
    Geng Jieli
    Honjo, Kie
    Gao Fuqiang
    Ramirez, Joel
    Holmes, Melissa
    Adamo, Sabrina
    Ozzoude, Miracle
    Scott, Christopher J.
    Goubran, Maged
    Nyenhuis, David L.
    Black, Sandra E.
    STROKE, 2021, 52
  • [47] THE POTENTIAL IMPACT OF COGNITIVE REHABILITATION ON THE FUTURE BURDEN OF POST-STROKE COGNITIVE IMPAIRMENT IN IRELAND TO 2035: PRELIMINARY RESULTS USING A MODEL-BASED APPROACH
    Sexton, E.
    Merriman, N. A.
    Donnelly, N. A.
    Wren, M. A.
    Bandosz, P.
    Guzman-Castillo, M.
    O'Flaherty, M.
    Hickey, A.
    Bennett, K.
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2020, 74 : A35 - A36
  • [48] THE POTENTIAL IMPACT OF COGNITIVE REHABILITATION ON THE FUTURE BURDEN OF POST-STROKE COGNITIVE IMPAIRMENT IN IRELAND TO 2035: PRELIMINARY RESULTS USING A MODEL-BASED APPROACH
    Sexton, E.
    Merriman, N.
    Donnelly, N-A
    Wren, M-A
    Bandosz, P.
    Guzman-Castillo, M.
    Williams, D.
    Horgan, F.
    Pender, N.
    O'Flaherty, M.
    Hickey, A.
    Bennett, K.
    INTERNATIONAL JOURNAL OF STROKE, 2020, 15 (1_SUPPL) : 563 - 563
  • [49] Diagnostic value of a deep learning-based hyoid bone tracking model for aspiration in patients with post-stroke dysphagia
    Ryu, Yeong Hwan
    Kim, Ji Hyun
    Kim, Dohhyung
    Kim, Seo Young
    Lee, Seong Jae
    DIGITAL HEALTH, 2024, 10
  • [50] Monitoring Alzheimer's Disease Progression in Mild Cognitive Impairment Stage Using Machine Learning-Based FDG-PET Classification Methods
    Beheshti, Iman
    Geddert, Natasha
    Perron, Jarrad
    Gupta, Vinay
    Albensi, Benedict C.
    Ko, Ji Hyun
    JOURNAL OF ALZHEIMERS DISEASE, 2022, 89 (04) : 1493 - 1502
12345