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Sökning: WFRF:(Villemagne Victor L.) > (2020)

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1.
  • Dhiman, Kunal, et al. (författare)
  • Cerebrospinal fluid neurofilament light concentration predicts brain atrophy and cognition in Alzheimer's disease.
  • 2020
  • Ingår i: Alzheimer's & dementia (Amsterdam, Netherlands). - 2352-8729. ; 12:1
  • Tidskriftsartikel (refereegranskat)abstract
    • This study assessed the utility of cerebrospinal fluid (CSF) neurofilament light (NfL) in Alzheimer's disease (AD) diagnosis, its association with amyloid and tau pathology, as well as its potential to predict brain atrophy, cognition, and amyloid accumulation.CSF NfL concentration was measured in 221 participants from the Australian Imaging, Biomarkers & Lifestyle Flagship Study of Ageing (AIBL).CSF NfL levels as well as NfL/amyloid β (Aβ42) were significantly elevated in AD compared to healthy controls (HC; P < .001), and in mild cognitive impairment (MCI) compared to HC (P = .008 NfL; P < .001 NfL/Aβ42). CSF NfL and NfL/Aβ42 differentiated AD from HC with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.84 and 0.90, respectively. CSF NfL and NfL/Aβ42 predicted cortical amyloid load, brain atrophy, and cognition.CSF NfL is a biomarker of neurodegeneration, correlating with cognitive impairment and brain neuropathology.
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2.
  • Chételat, Gaël, et al. (författare)
  • Amyloid-PET and 18F-FDG-PET in the diagnostic investigation of Alzheimer's disease and other dementias
  • 2020
  • Ingår i: The Lancet Neurology. - : Lancet Ltd. - 1474-4422 .- 1474-4465. ; 19:11, s. 951-962
  • Forskningsöversikt (refereegranskat)abstract
    • Various biomarkers are available to support the diagnosis of neurodegenerative diseases in clinical and research settings. Among the molecular imaging biomarkers, amyloid-PET, which assesses brain amyloid deposition, and 18F-fluorodeoxyglucose (18F-FDG) PET, which assesses glucose metabolism, provide valuable and complementary information. However, uncertainty remains regarding the optimal timepoint, combination, and an order in which these PET biomarkers should be used in diagnostic evaluations because conclusive evidence is missing. Following an expert panel discussion, we reached an agreement on the specific use of the individual biomarkers, based on available evidence and clinical expertise. We propose a diagnostic algorithm with optimal timepoints for these PET biomarkers, also taking into account evidence from other biomarkers, for early and differential diagnosis of neurodegenerative diseases that can lead to dementia. We propose three main diagnostic pathways with distinct biomarker sequences, in which amyloid-PET and 18F-FDG-PET are placed at different positions in the order of diagnostic evaluations, depending on clinical presentation. We hope that this algorithm can support diagnostic decision making in specialist clinical settings with access to these biomarkers and might stimulate further research towards optimal diagnostic strategies.
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