» Articles » PMID: 24705549

Concordance Between Cerebrospinal Fluid Biomarkers and [11C]PIB PET in a Memory Clinic Cohort

Overview
Publisher Sage Publications
Specialties Geriatrics
Neurology
Date 2014 Apr 8
PMID 24705549
Citations 60
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Two approaches are available for measuring Alzheimer's disease (AD) pathology in vivo. Biomarkers in cerebrospinal fluid (CSF) include amyloid-β1-42 (Aβ42) and tau. Furthermore, amyloid deposition can be visualized using positron emission tomography (PET) and [11C]Pittsburgh compound-B ([11C]PIB).

Objective: We investigated concordance between CSF biomarkers and [11C]PIB PET as markers for AD pathology in a memory clinic cohort.

Methods: We included 64 AD patients, 34 non-AD dementia patients, 22 patients with mild cognitive impairment (MCI), and 16 controls. [11C]PIB scans were visually rated as positive or negative. CSF biomarkers were considered abnormal based on Aβ42 alone (<550 ng/L), a more lenient Aβ42 cut-off (<640 ng/L) or a combination of both Aβ42 and tau ((373 + 0.82 tau)/Aβ42 > 1). Concordance between CSF biomarkers and [11C]PIB PET was determined.

Results: Overall, concordance between [11C]PIB PET and CSF Aβ42 (<550 ng/L) was 84%. In discordant cases, [11C]PIB PET was more often AD-positive than Aβ42. When a more lenient Aβ42 cut-point (<640 ng/L) or a combination of Aβ42 and tau was used, concordance with [11C]PIB PET appeared to be even higher (90% and 89%). This difference is explained by a subgroup of mostly MCI and AD patients with Aβ42 levels just above cut-off. Now, in discordant cases, CSF was more often AD-positive than [11C]PIB PET.

Conclusion: Concordance between CSF Aβ42 and [11C]PIB PET was good in all diagnostic groups. Discordance was mostly seen in MCI and AD patients close to the cut-point. These results provide convergent validity for the use of both types of biomarkers as measures of AD pathology.

Citing Articles

A neuropathology case report of a woman with Down syndrome who remained cognitively stable: Implications for resilience to neuropathology.

Liou J, Lou J, Flores-Aguilar L, Nakagiri J, Yong W, Hom C Alzheimers Dement. 2025; 21(2):e14479.

PMID: 39868632 PMC: 11851131. DOI: 10.1002/alz.14479.


Aβ status assessment in a hypothetical scenario prior to treatment with disease-modifying therapies: Evidence from 10-year real-world experience at university memory clinics.

Brendel M, Parvizi T, Gnorich J, Topfstedt C, Buerger K, Janowitz D Alzheimers Dement (Amst). 2024; 16(4):e70031.

PMID: 39583651 PMC: 11582924. DOI: 10.1002/dad2.70031.


Continuous β-Amyloid CSF/PET Imbalance Model to Capture Alzheimer Disease Heterogeneity.

Mastenbroek S, Sala A, Garcia D, Shekari M, Salvado G, Lorenzini L Neurology. 2024; 103(1):e209419.

PMID: 38862136 PMC: 11244744. DOI: 10.1212/WNL.0000000000209419.


Clinical value of Alzheimer's disease biomarker testing.

Patel K, Yang D, Best J, Chambers C, Lee P, Henri-Bhargava A Alzheimers Dement (N Y). 2024; 10(2):e12464.

PMID: 38596484 PMC: 10999950. DOI: 10.1002/trc2.12464.


Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients.

Biesbroek J, Coenen M, DeCarli C, Fletcher E, Maillard P, Barkhof F Alzheimers Dement. 2024; 20(4):2980-2989.

PMID: 38477469 PMC: 11032573. DOI: 10.1002/alz.13765.