Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET

被引：0
|
作者：
Suhong Kim
Peter Lee
Kyeong Taek Oh
Min Soo Byun
Dahyun Yi
Jun Ho Lee
Yu Kyeong Kim
Byoung Seok Ye
Mi Jin Yun
Dong Young Lee
Yong Jeong
机构：
[1] Korea Advanced Institute of Science and Technology (KAIST),Graduate School of Medical Science and Engineering
[2] Korea Advanced Institute of Science and Technology (KAIST),Department of Bio and Brain Engineering
[3] KI for Health Science Technology,Korea Advanced Institute of Science and Technology (KAIST)
[4] Yonsei University College of Medicine,Department of Medical Engineering
[5] Yonsei University College of Medicine,Department of Nuclear Medicine
[6] Yonsei University College of Medicine,Department of Neurology
[7] Seoul National University Bundang Hospital,Department of Neuropsychiatry
[8] Seoul National University,Institute of Human Behavioral Medicine, Medical Research Center
[9] National Center for Mental Health,Department of Neuropsychiatry
[10] SMG-SNU Boramae Medical Center,Department of Nuclear Medicine
[11] Seoul National University College of Medicine,Department of Psychiatry
[12] Seoul National University Hospital,Department of Neuropsychiatry
来源：
EJNMMI Research | / 11卷
关键词：
Alzheimer’s disease; Amyloid; Dementia; 2-[; F]FDG PET; Deep learning; Classification model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[18F]FDG PET
    Kim, Suhong
    Lee, Peter
    Oh, Kyeong Taek
    Byun, Min Soo
    Yi, Dahyun
    Lee, Jun Ho
    Kim, Yu Kyeong
    Ye, Byoung Seok
    Yun, Mi Jin
    Lee, Dong Young
    Jeong, Yong
    EJNMMI RESEARCH, 2021, 11 (01)
  • [2] Deep learning-based binary classification of beta-amyloid plaques using 18F florapronol PET
    An, Eui Jung
    Kim, Jin Beom
    Son, Junik
    Jeong, Shin Young
    Lee, Sang-Woo
    Ahn, Byeong-Cheol
    Ko, Pan-Woo
    Hong, Chae Moon
    NUCLEAR MEDICINE COMMUNICATIONS, 2024, 45 (12) : 1055 - 1060
  • [3] Deep learning-based classification improves clinical interpretation of [18F]florzolotau PET
    Lu, J.
    Clement, C.
    Zhao, Q.
    Li, X.
    Wang, M.
    Yen, T.
    Hong, J.
    Brendel, M.
    Lopes, L.
    Rominger, A.
    Wang, J.
    Liu, F.
    Zuo, C.
    Shi, K.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (SUPPL 1) : S47 - S47
  • [4] [18F]FDG PET may differentiate cerebral amyloid angiopathy from Alzheimer's disease
    Bergeret, Sebastien
    Queneau, Mathieu
    Rodallec, Mathieu
    Curis, Emmanuel
    Dumurgier, Julien
    Hugon, Jacques
    Paquet, Claire
    Farid, Karim
    Baron, Jean-Claude
    EUROPEAN JOURNAL OF NEUROLOGY, 2021, 28 (05) : 1511 - 1519
  • [5] 18F-FDG and Amyloid PET imaging in Alzheimer's Disease
    Chiaravalloti, Agostino
    Schillaci, Orazio
    JOURNAL OF ALZHEIMERS DISEASE, 2012, 29 : 13 - 15
  • [6] Prediction of Amyloid PET Positivity from FDG PET: a Machine Learning-Based study
    Zhang, Y.
    Shao, H.
    Huang, G.
    Zhang, C.
    Wang, Y.
    Liu, J.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 : S764 - S764
  • [7] A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain
    Ding, Yuming
    Sohn, Jae Ho
    Kawczynski, Michael G.
    Trivedi, Hari
    Harnish, Roy
    Jenkins, Nathaniel W.
    Lituiev, Dmytro
    Copeland, Timothy P.
    Aboian, Mariam S.
    Aparici, Carina Mari
    Behr, Spencer C.
    Flavell, Robert R.
    Huang, Shih-Ying
    Zalocusky, Kelly A.
    Nardo, Lorenzo
    Seo, Youngho
    Hawkins, Randall A.
    Pampaloni, Miguel Hernandez
    Hadley, Dexter
    Franc, Benjamin L.
    RADIOLOGY, 2019, 290 (02) : 456 - 464
  • [8] Visual interpretation of [18F]Florbetaben PET supported by deep learning-based estimation of amyloid burden
    Kim, Ji-Young
    Oh, Dongkyu
    Sung, Kiyoung
    Choi, Hongyoon
    Paeng, Jin Chul
    Cheon, Gi Jeong
    Kang, Keon Wook
    Lee, Dong Young
    Lee, Dong Soo
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 48 (04) : 1116 - 1123
  • [9] Early-phase [18F]Flortaucipir tau-PET as a measure of neurodegeneration in Alzheimer's disease: a comparison with [18F]FDG-PET and early-phase amyloid PET
    Boccalini, C.
    Mathoux, G.
    Peretti, D. E.
    Ribaldi, F.
    Perani, D.
    Frisoni, B.
    Garibotto, V.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 : S638 - S638
  • [10] PCA and logistic regression in 2-[18F]FDG PET neuroimaging as an interpretable and diagnostic tool for Alzheimer's disease
    Goncalves de Oliveira, Carlos Eduardo
    de Araujo, Whemberton Martins
    de Jesus Teixeira, Ana Beatriz Marinho
    Goncalves, Gustavo Lopes
    Itikawa, Emerson Nobuyuki
    PHYSICS IN MEDICINE AND BIOLOGY, 2024, 69 (02):
12345