Volumetric Magnetic Resonance Imaging in Dementia

NCT ID: NCT05119114

Last Updated: 2021-11-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

40 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-12-31

Study Completion Date

2023-12-31

Brief Summary

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Dementia is a term for the impaired ability to remember, think, or make decisions that interferes with doing everyday activities. Alzheimer's disease is the most common type of dementia. Though dementia mostly affects older adults, it is not a part of normal aging. This study aims to assess the role of volumetric MRI in evaluation of different types of dementia.

Detailed Description

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Neurocognitive disorders (dementia) are prevalent clinical problems. With the increase in average life expectancy, its prevalence is rising at an alarming rate. In 2005, an estimated 24 million people around the world suffered from dementia, and that number is expected to double every 20 years. By 2040, it is predicted that over 81 million people worldwide will suffer from dementia. Most experts agree that treatment will be most beneficial if applied early, before significant, potentially irreversible neurodegeneration and functional impairment has occurred.

Clinical symptoms of most subtypes of dementia arise from progressive neuron and synapse loss, with the resulting tissue atrophy. Brain magnetic resonance imaging (MRI) is regularly used in diagnosing dementia as it visualises the structural changes caused by neurodegeneration. It is key in defining subtle differences between healthy and pathological cerebral volume loss and between dementia subtypes.

Visual assessment of brain atrophy patterns is commonly supported through the use of visual rating scales. However, these scales have a subjective element and their application relies heavily on the prior experience of the radiologist using them. And they have poor sensitivity to subtle or prodromal changes and have ceiling and/or floor effects.

Application of quantitative volumetric reporting tools, which automatically quantify an individual patient's regional brain volumes and compare them to healthy populations, can potentially help in interpretation of the severity and distribution of brain atrophy and contextualize their findings by referencing normative brain volumes in healthy populations. This will improve the accuracy of radiological diagnosis of different subtypes of dementia

Conditions

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Dementia Alzheimer Disease

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Interventions

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Magnetic Resonance Imaging (MRI)

A standardized multi-parametric MRI protocol will be implemented for all patients. All sequences will be acquired on a 1.5 Tesla scanner. After completion of the MRI study, the digital imaging and communication data will be sent to a diagnostic workstation for post-processing and analysis. Patients of the study will be subjected to detailed structural MRI for detection of signs of neurodegenerative changes. Volumetric high-resolution 3D scans will be used for quantitative study.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Patients with any type of dementia.
* Patients with mini mental state examination equal or more than 18.

Exclusion Criteria

* Patients with contra-indications to MRI.
Minimum Eligible Age

60 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Mohamed Abdel-Tawab Mohamed

Dr

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Hosam A Youssif, MD

Role: STUDY_DIRECTOR

Assiut University

Ahmed Abdel-Razzak, McS

Role: PRINCIPAL_INVESTIGATOR

Assiut University

Locations

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Assiut University

Asyut, , Egypt

Site Status

Countries

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Egypt

Central Contacts

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Ahmed Abdel-Razzak, McS

Role: CONTACT

Phone: 01147160733

Email: [email protected]

Mohamed Abdeltawab, MD

Role: CONTACT

Phone: +201009319309

Email: [email protected]

References

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Ferri CP, Prince M, Brayne C, Brodaty H, Fratiglioni L, Ganguli M, Hall K, Hasegawa K, Hendrie H, Huang Y, Jorm A, Mathers C, Menezes PR, Rimmer E, Scazufca M; Alzheimer's Disease International. Global prevalence of dementia: a Delphi consensus study. Lancet. 2005 Dec 17;366(9503):2112-7. doi: 10.1016/S0140-6736(05)67889-0.

Reference Type RESULT
PMID: 16360788 (View on PubMed)

Fennema-Notestine C, Hagler DJ Jr, McEvoy LK, Fleisher AS, Wu EH, Karow DS, Dale AM; Alzheimer's Disease Neuroimaging Initiative. Structural MRI biomarkers for preclinical and mild Alzheimer's disease. Hum Brain Mapp. 2009 Oct;30(10):3238-53. doi: 10.1002/hbm.20744.

Reference Type RESULT
PMID: 19277975 (View on PubMed)

Duchesne S, Caroli A, Geroldi C, Barillot C, Frisoni GB, Collins DL. MRI-based automated computer classification of probable AD versus normal controls. IEEE Trans Med Imaging. 2008 Apr;27(4):509-20. doi: 10.1109/TMI.2007.908685.

Reference Type RESULT
PMID: 18390347 (View on PubMed)

Ten Kate M, Barkhof F, Boccardi M, Visser PJ, Jack CR Jr, Lovblad KO, Frisoni GB, Scheltens P; Geneva Task Force for the Roadmap of Alzheimer's Biomarkers. Clinical validity of medial temporal atrophy as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiol Aging. 2017 Apr;52:167-182.e1. doi: 10.1016/j.neurobiolaging.2016.05.024.

Reference Type RESULT
PMID: 28317647 (View on PubMed)

Other Identifiers

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MRI in dementia

Identifier Type: -

Identifier Source: org_study_id