The accuracy and robustness of plasma biomarker models for amyloid PET positivity

被引：0
|
作者：
Andréa L. Benedet
Wagner S. Brum
Oskar Hansson
Thomas K. Karikari
Eduardo R. Zimmer
Henrik Zetterberg
Kaj Blennow
Nicholas J. Ashton
机构：
[1] Institute of Neuroscience and Physiology,Department of Psychiatry and Neurochemistry
[2] The Sahlgrenska Academy,Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging
[3] University of Gothenburg,Graduate Program in Biological Sciences: Biochemistry
[4] McGill University,Clinical Memory Research Unit, Department of Clinical Sciences
[5] Montreal,Memory Clinic
[6] Universidade Federal do Rio Grande do Sul (UFRGS),Department of Psychiatry
[7] Malmö,Department of Pharmacology
[8] Lund University,Graduate Program in Biological Sciences: Pharmacology and Therapeutics
[9] Skåne University Hospital,Clinical Neurochemistry Laboratory
[10] University of Pittsburgh,Department of Neurodegenerative Disease
[11] UFRGS,Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology
[12] UFRGS,undefined
[13] Sahlgrenska University Hospital,undefined
[14] UCL Institute of Neurology,undefined
[15] UK Dementia Research Institute at UCL,undefined
[16] Hong Kong Center for Neurodegenerative Diseases,undefined
[17] the Sahlgrenska Academy at the University of Gothenburg,undefined
[18] King’s College London,undefined
[19] Institute of Psychiatry,undefined
[20] Psychology & Neuroscience,undefined
[21] Maurice Wohl Clinical Neuroscience Institute,undefined
[22] NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation,undefined
来源：
Alzheimer's Research & Therapy | / 14卷
关键词：
Amyloid; Plasma biomarker; Mass spectrometry; Immunoassay; Alzheimer’s disease; ADNI; p-tau181; GFAP; NfL;
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
  • [41] Plasma amyloid beta 42 is a biomarker for patients with hereditary, but not sporadic, cerebral amyloid angiopathy
    Anna M. de Kort
    H. Bea Kuiperij
    Lieke Jäkel
    Iris Kersten
    Ingeborg Rasing
    Ellis S. van Etten
    Sanneke van Rooden
    Matthias J. P. van Osch
    Marieke J. H. Wermer
    Gisela M. Terwindt
    Floris H. B. M. Schreuder
    Catharina J. M. Klijn
    Marcel M. Verbeek
    Alzheimer's Research & Therapy, 15
  • [42] Amyloid-PET in sporadic cerebral amyloid angiopathy A diagnostic accuracy meta-analysis
    Charidimou, Andreas
    Farid, Karim
    Baron, Jean-Claude
    NEUROLOGY, 2017, 89 (14) : 1490 - 1498
  • [43] Accuracy and Robustness against Covariate Shift of Water Chiller Models
    Acerbi, Federica
    De Nicolao, Giuseppe
    Obiltschnig, Josef
    Richter, Patrick
    De Luca, Cristina
    2018 IEEE 14TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2018, : 809 - 816
  • [44] Longitudinal plasma amyloid beta as a biomarker of Alzheimer's disease
    Rissman, Robert A.
    Trojanowski, John Q.
    Shaw, Leslie M.
    Aisen, Paul S.
    JOURNAL OF NEURAL TRANSMISSION, 2012, 119 (07) : 843 - 850
  • [45] Longitudinal plasma amyloid beta as a biomarker of Alzheimer’s disease
    Robert A. Rissman
    John Q. Trojanowski
    Leslie M. Shaw
    Paul S. Aisen
    Journal of Neural Transmission, 2012, 119 : 843 - 850
  • [46] CSF biomarkers and amyloid PET: concordance and diagnostic accuracy in a MCI cohort
    Marco Spallazzi
    Federica Barocco
    Giovanni Michelini
    Paolo Immovilli
    Arens Taga
    Nicola Morelli
    Livia Ruffini
    Paolo Caffarra
    Acta Neurologica Belgica, 2019, 119 : 445 - 452
  • [47] CSF biomarkers and amyloid PET: concordance and diagnostic accuracy in a MCI cohort
    Spallazzi, Marco
    Barocco, Federica
    Michelini, Giovanni
    Immovilli, Paolo
    Taga, Arens
    Morelli, Nicola
    Ruffini, Livia
    Caffarra, Paolo
    ACTA NEUROLOGICA BELGICA, 2019, 119 (03) : 445 - 452
  • [48] Predicting amyloid positivity from FDG-PET images using radiomics: A parsimonious model
    Rasi, Ramin
    Guvenis, Albert
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 247
  • [49] Determining Amyloid-β Positivity Using 18F-AZD4694 PET Imaging
    Therriault, Joseph
    Benedet, Andrea L.
    Pascoal, Tharick A.
    Savard, Melissa
    Ashton, Nicholas J.
    Chamoun, Mira
    Tissot, Cecile
    Lussier, Firoza
    Kang, Min Su
    Bezgin, Gleb
    Wang, Tina
    Fernandes-Arias, Jaime
    Massarweh, Gassan
    Vitali, Paolo
    Zetterberg, Henrik
    Blennow, Kaj
    Saha-Chaudhuri, Paramita
    Soucy, Jean-Paul
    Gauthier, Serge
    Rosa-Neto, Pedro
    JOURNAL OF NUCLEAR MEDICINE, 2021, 62 (02) : 247 - 252
  • [50] Elecsys CSF biomarker immunoassays demonstrate concordance with amyloid-PET imaging
    James D. Doecke
    Larry Ward
    Samantha C. Burnham
    Victor L. Villemagne
    Qiao-Xin Li
    Steven Collins
    Christopher J. Fowler
    Ekaterina Manuilova
    Monika Widmann
    Stephanie R. Rainey-Smith
    Ralph N. Martins
    Colin L. Masters
    Alzheimer's Research & Therapy, 12
12345