Use of deep learning-based radiomics to differentiate Parkinson’s disease patients from normal controls: a study based on [18F]FDG PET imaging

被引：0
|
作者：
Xiaoming Sun
Jingjie Ge
Lanlan Li
Qi Zhang
Wei Lin
Yue Chen
Ping Wu
Likun Yang
Chuantao Zuo
Jiehui Jiang
机构：
[1] Shanghai University,Institute of Biomedical Engineering, School of Communication and Information Engineering
[2] Fudan University,PET Center, Huashan Hospital
[3] 904 Hospital of PLA,Department of Neurosurgery
[4] Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province,Department of Nuclear Medicine, Affiliated Hospital of Southwest Medical University
[5] National Center for Neurological Disorder,undefined
来源：
European Radiology | 2022年 / 32卷
关键词：
Deep learning radiomics; Parkinson’s disease; [; F]fluorodeoxyglucose PET; Support vector machine;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：8008 / 8018
页数：10
相关论文
共 50 条
  • [41] The metabolic brain network in patients with Parkinson's disease based on 18F-FDG PET imaging: evaluation of neuronal injury and regeneration
    Jingjie Ge
    Ping Wu
    Chuantao Zuo
    Neural Regeneration Research, 2014, (07) : 763 - 765
  • [42] The metabolic brain network in patients with Parkinson's disease based on 18F-FDG PET imaging: evaluation of neuronal injury and regeneration
    Ge, Jingjie
    Wu, Ping
    Zuo, Chuantao
    NEURAL REGENERATION RESEARCH, 2014, 9 (07) : 763 - 765
  • [43] [11C]PIB-, [18F]FDG-PET and MRI imaging in patients with Parkinson's disease with and without dementia
    Jokinen, Pekka
    Scheinin, Noora
    Aalto, Sargo
    Nagren, Kjell
    Savisto, Nina
    Parkkola, Riitta
    Rokka, Johanna
    Haaparanta, Merja
    Roytta, Matias
    Rinne, Juha O.
    PARKINSONISM & RELATED DISORDERS, 2010, 16 (10) : 666 - 670
  • [44] Prediction of EGFR Mutation Status Based on 18F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma
    Yin, Guotao
    Wang, Ziyang
    Song, Yingchao
    Li, Xiaofeng
    Chen, Yiwen
    Zhu, Lei
    Su, Qian
    Dai, Dong
    Xu, Wengui
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [45] Feasibility of fully automated deep learning-based segmentation of lymphoma lesions in whole-body [18F]FDG PET/CT images
    Ribeiro, A.
    Leite, P.
    Constantino, C. S.
    Leocadio, S.
    Oliveira, F.
    Silva, M.
    Oliveira, C.
    Castanheira, J. C.
    Silva, A.
    Vaz, S.
    Teixeira, R.
    Neves, M.
    Lucio, P.
    Joao, C.
    Ferreira, M. J.
    Costa, D. C.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (SUPPL 1) : S416 - S416
  • [46] [18F]FDG-PET in patients with Alzheimer's disease:: Marker of disease spread
    Bittner, D
    Grön, G
    Schirrmeister, H
    Reske, SN
    Riepe, MW
    DEMENTIA AND GERIATRIC COGNITIVE DISORDERS, 2005, 19 (01) : 24 - 30
  • [47] Applying deep learning-based ensemble model to [18F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases
    Nakajo, Masatoyo
    Hirahara, Daisuke
    Jinguji, Megumi
    Hirahara, Mitsuho
    Tani, Atsushi
    Nagano, Hiromi
    Takumi, Koji
    Kamimura, Kiyohisa
    Kanzaki, Fumiko
    Yamashita, Masaru
    Yoshiura, Takashi
    JAPANESE JOURNAL OF RADIOLOGY, 2025, 43 (01) : 91 - 100
  • [48] A modular, deep learning-based holistic intent sensing system tested with Parkinson's disease patients and controls
    Russell, Joseph
    Inches, Jemma
    Carroll, Camille B.
    Bergmann, Jeroen H. M.
    FRONTIERS IN NEUROLOGY, 2023, 14
  • [49] Normal cognition in Parkinson's disease may involve hippocampal cholinergic compensation: An exploratory PET imaging study with [18F]-FEOBV
    Legault-Denis, Camille
    Aghourian, Meghmik
    Soucy, Jean-Paul
    Rosa-Neto, Pedro
    Dagher, Alain
    Aumont, Etienne
    Wickens, Rebekah
    Bedard, Marc-Andre
    PARKINSONISM & RELATED DISORDERS, 2021, 91 : 162 - 166
  • [50] Machine Learning-Based Analysis of Cachexia and Survival in HNSCC via[18F]FDG PET/CT Metabolic Profiling
    Yu, J.
    Spielvogel, C.
    Haberl, D.
    Jiang, Z.
    Ferrara, D.
    Oezer, O.
    Pusitz, S.
    Kandathil, S.
    Yildiz, E.
    Kumpf, K.
    Wu, T.
    Zhang, Z.
    Chen, Y.
    Gruenert, S.
    Hacker, M.
    Vraka, C.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 : S48 - S49
12345