Literature DB >> 31074062

Abnormal Amyloid Load in Mild Cognitive Impairment: The Effect of Reducing the PiB-PET Threshold.

Rola Ismail1, Peter Parbo2, Kim V Hansen1, Jeppe L Schaldemose1, Rikke B Dalby3, Anna Tietze4, Pernille L Kjeldsen1, Sanne Hage la Cour5, Per Qvist5, Hanne Gottrup6, Simon F Eskildsen3, David J Brooks1,7,8.   

Abstract

BACKGROUND AND
PURPOSE: In vivo detection of β-amyloid (Aβ) plaques in Alzheimer's disease (AD) is now possible with 11 C-PiB positron emission tomography (PET). Conventionally, a cortical:cerebellar PiB uptake ratio threshold of 1.4-1.5 has been used to categorize at-risk subjects as "amyloid-positive" and "amyloid-negative." It has been suggested that this threshold is too conservative and may miss early amyloid pathology. We investigated the relationship between conventional and lower baseline 11 C-PiB PET thresholds for raised amyloid load and the subsequent clinical and radiological progression of mild cognitive impairment (MCI) cases longitudinally.
METHODS: We serially determined the cortical amyloid load with 11 C-PiB PET of 44 MCI subjects over 2 years and compared findings with those for 12 healthy controls (HC) and 5 AD cases.
RESULTS: Twenty-four subjects were classified as normal at baseline with mean cortical PiB standard uptake value ratios (SUVR) between 1.2 and 1.5. Their cognitive status remained stable over time. Three of these cases increased their amyloid load above a threshold of 1.5 over 2 years. Twenty-seven "raised amyloid" MCI cases with baseline cortical SUVRs above 1.5, showed deteriorating cognition. Note that 50% of these cases converted clinically to AD during the follow-up period.
CONCLUSION: Use of a PiB SUVR threshold of >1.5 for raised amyloid missed 14.3% of MCI cases who likely had Thal stage 1 or 2 pathology and showed a progressive amyloid increase over 2 years. Lowering the threshold for abnormality to 1.3 abolished all false negatives but resulted in 75% of HCs being falsely diagnosed as raised amyloid subjects.
© 2019 by the American Society of Neuroimaging.

Entities:  

Keywords:  11C-Pittsburgh compound-B; Alzheimer's disease; Amyloid-β; mild cognitive impairment; positron emission tomography

Mesh:

Substances:

Year:  2019        PMID: 31074062     DOI: 10.1111/jon.12629

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  5 in total

1.  11C-Pittsburgh compound B and 18F-THK 5351 positron emission tomography brain imaging in cognitively normal individuals.

Authors:  Chanisa Chotipanich; Attapon Jantarato; Anchisa Kunawudhi; Supaporn Kongthai; Chetsadaporn Promteangtrong
Journal:  World J Nucl Med       Date:  2020-06-27

2.  The relationships between neuroinflammation, beta-amyloid and tau deposition in Alzheimer's disease: a longitudinal PET study.

Authors:  Rola Ismail; Peter Parbo; Lasse Stensvig Madsen; Allan K Hansen; Kim V Hansen; Jeppe L Schaldemose; Pernille L Kjeldsen; Morten G Stokholm; Hanne Gottrup; Simon F Eskildsen; David J Brooks
Journal:  J Neuroinflammation       Date:  2020-05-06       Impact factor: 8.322

Review 3.  Applications of amyloid, tau, and neuroinflammation PET imaging to Alzheimer's disease and mild cognitive impairment.

Authors:  Avinash Chandra; Polytimi-Eleni Valkimadi; Gennaro Pagano; Oliver Cousins; George Dervenoulas; Marios Politis
Journal:  Hum Brain Mapp       Date:  2019-09-14       Impact factor: 5.038

4.  Post-mortem analyses of PiB and flutemetamol in diffuse and cored amyloid-β plaques in Alzheimer's disease.

Authors:  Milos D Ikonomovic; Christopher J Buckley; Eric E Abrahamson; Julia K Kofler; Chester A Mathis; William E Klunk; Gill Farrar
Journal:  Acta Neuropathol       Date:  2020-08-09       Impact factor: 17.088

5.  Application of QPLEXTM biomarkers in cognitively normal individuals across a broad age range and diverse regions with cerebral amyloid deposition.

Authors:  Dongjoon Lee; Jong-Chan Park; Keum Sim Jung; Jiyeong Kim; Ji Sung Jang; Sunghoon Kwon; Min Soo Byun; Dahyun Yi; Gihwan Byeon; Gijung Jung; Yu Kyeong Kim; Dong Young Lee; Sun-Ho Han; Inhee Mook-Jung
Journal:  Exp Mol Med       Date:  2022-01-20       Impact factor: 12.153

  5 in total

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