Actively Recruiting
Detecting Early Alzheimer's Using MR
Led by University of Aberdeen · Updated on 2025-03-30
60
Participants Needed
1
Research Sites
163 weeks
Total Duration
On this page
Sponsors
U
University of Aberdeen
Lead Sponsor
N
NHS Grampian
Collaborating Sponsor
AI-Summary
What this Trial Is About
Alzheimer's disease (AD) is the most common cause of dementia, affecting approximately 10% of individuals aged ≥ 65. Most available treatments aim at controlling symptoms at an early stage rather than providing a cure. Therefore, an accurate and early diagnosis of AD with appropriate management will slow the progression of the condition. Reduced cerebral glucose levels have been observed in patients with early AD. Glucose hypometabolism can be assessed by administering a radioactive glucose analogue, 2-deoxy-2-(18F) fluoro-D-glucose (18FDG), and imaging with PET (positron emission tomography). The high cost and limited availability of PET-CT (PET - computed tomography) still hamper its general clinical application. Moreover, the use of radioactive tracers in combination with the additional ionizing radiation of CT is not suitable for repeated measurements. Therefore, currently, the provisional diagnosis of AD is still based on the combination of clinical history, neurological examination, cognitive testing over a period of time, and structural neuroimaging. This has major time and resource implications. A radically different and highly innovative means for imaging glucose with magnetic resonance imaging (MRI) has now been established, exploiting the interaction between hydroxyl protons in glucose and the protons in water; the method is termed glucose Chemical Exchange Saturation Transfer (glucoCEST). GlucoCEST MRI is a method that has no reliance on radiolabelled glucose analogues and could become widely implemented in clinic practice. We therefore aim to investigate the potential of glucoCEST MRI in Alzheimer's disease.
CONDITIONS
Official Title
Detecting Early Alzheimer's Using MR
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Development phase controls must be over 18 years old
- Development phase controls must consent to the study
- Development phase controls must not report memory problems
- Clinical phase patients must be 65 years or older
- Clinical phase patients must be able to provide informed consent
- Clinical phase patients must have a clinical diagnosis of Alzheimer's disease
- Clinical phase controls must be 65 years or older
- Clinical phase controls must be able to provide informed consent
- Clinical phase controls must have normal scores on ADAS-cog and MMSE cognitive tests
- Clinical phase controls must not report memory problems
You will not qualify if you...
- History of diabetes
- History of major stroke (mini-stroke or transient ischemic attacks or lacunar stroke are acceptable)
- Contraindications to MRI such as implantable cardiac devices
- Family history of Alzheimer's disease to exclude genetic mutations
- Advanced Alzheimer's disease with lack of capacity to consent
- Pregnancy (for development phase)
- Unable to read or speak English
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
University of Aberdeen
Aberdeen, United Kingdom, AB24 3FX
Actively Recruiting
Research Team
G
Gordon Waiter, PhD
CONTACT
N
Nicholas Senn de Vries, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
4
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