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Imperial APC (Imperial Amyloid PET Cohort)

Population Size

0

People

Population Size statistic card

Years

2020

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

Geographic coverage statistic card

Lead time

Data only
Lead time statistic card

Summary

The Imperial APC (Amyloid PET Cohort) is a research study focused on exploring the role of amyloid plaques in Alzheimer's disease and related neurodegenerative disorders. Using advanced positron emission tomography (PET) imaging, the study aims to identify and track amyloid deposits in the brain, which are a hallmark of Alzheimer's disease

Documentation

The Imperial APC Study is an Alzheimer's Society funded project that was set up at the Imperial College London in 2019. The ovearching aim of the study is to investigate the diagnostic utility of amyloid PET and other more established biomarkers of AD in a clinical cohort of patients with atypical clinical presentations. In this sub-study, we have retrospectively collected the MRI scans of all individuals referred for amyloid PET imaging in our Centre between 2013 and 2021. Both MRI and amyloid PET scans were carried out for clinical purposes and referral to amyloid PET followed appropriate use criteria (Johnson et al., 2013 Alz & Dem).

Dataset type

Health and disease, Imaging types

Dataset sub-type

Not applicable, Neurological

Keywords

Provenance

Purpose of dataset collection

Study

Biological sample availability

None/not available

Details

Publishing frequency

Continuous

Version

1.0.0

Modified

17/02/2025

Coverage

Start date

06/08/2020

Time lag

Not applicable

Geographic coverage

United Kingdom

Follow-up

Continuous

Accessibility

Language

en

Alignment with standardised data models

OTHER

Controlled vocabulary

OTHER

Format

CSV

Data Access Request

Dataset pipeline status

Available

Access method category

TRE/SDE

Access service description

The Data Portal runs its analysis environment through a virtual desktop infrastructure accessible via VMWare software. By analysing the data in the virtual desktop environment you are working on DPUK's servers – meaning there is no physical transfer of data to researchers. The processing capacity enables you to work with large numbers of records and integrate these with the other data modalities that exist in the DPUK cohorts. This solution also offers researchers the freedom to conduct their analyses anywhere with an internet connection.

Data Controller

Imperial College London

Data Processor

Dementias Platform UK

Dataset Types: Health and disease, Imaging types

Dataset Sub-types: Not applicable, Neurological


Collection Sources:

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