Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
40 participants
OBSERVATIONAL
2021-12-31
2023-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
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
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
CASE_ONLY
PROSPECTIVE
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
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.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Patients with mini mental state examination equal or more than 18.
Exclusion Criteria
60 Years
90 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Assiut University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Mohamed Abdel-Tawab Mohamed
Dr
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Hosam A Youssif, MD
Role: STUDY_DIRECTOR
Assiut University
Ahmed Abdel-Razzak, McS
Role: PRINCIPAL_INVESTIGATOR
Assiut University
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Assiut University
Asyut, , Egypt
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
References
Explore related publications, articles, or registry entries linked to this study.
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.
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.
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.
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.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
MRI in dementia
Identifier Type: -
Identifier Source: org_study_id