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NCT05020626 | RECRUITING | Alzheimer's Disease Diagnosis

Modelling Tau Distribution From DTI With Generative Adversarial Network for Alzheimer's Disease Diagnosis
Sponsor:

Chinese University of Hong Kong

Information provided by (Responsible Party):

Professor Winnie W.C. Chu

Brief Summary:

The most significant impact of this project is to propose for the first time a novel generative adversarial network (GAN), as one kind of deep learning architecture, to automatically generate synthetic PET images reflecting tau deposition, from brain DTI images. If successful, this framework will become the most state-of-the-art approach to simulate the stereotypical pattern of intracerebral tau accumulation and distribution in vivo. Synthetic tau-PET images via DTI, possessing overwhelming superiority in radiation-free, non-invasiveness and cost-effectiveness, will potentially serve as one of alternative modalities of PET in detecting tau-load and probably outperform PET on accessibility, generalizability, and availability in future, making it much more attractive in clinical application. A big conceptual shift may occur preferring a fire-new tau-PET simulated via DTI. The DTI data-driven deep learning framework to be created in this project will constitute an accurate, robust, clinically applicable and explainable tool to efficiently categorize the subjects into tau-burden positive and tau-burden negative cases, which will undoubtedly contribute to both clinical and research activities.

Condition or disease

Alzheimer's Disease Diagnosis

Study Type : OBSERVATIONAL
Estimated Enrollment : 250 participants
Official Title : Modelling Tau Deposition and Distribution From Diffusion Tensor Imaging With Generative Adversarial Network for Alzheimer's Disease Diagnosis
Actual Study Start Date : 2021-06-30
Estimated Primary Completion Date : 2025-06-29
Estimated Study Completion Date : 2025-12-31

Information not available for Arms and Intervention/treatment

Ages Eligible for Study: 55 Years
Sexes Eligible for Study: ALL
Accepts Healthy Volunteers: 1
Criteria
Inclusion Criteria
  • * With the age of 55 years and above
  • * With brain MRI taken within ±6 months from the date of clinically confirmed diagnosis of AD, MCI or normal cognition.
Exclusion Criteria
  • * AD with mixed dementia
  • * Non-AD dementia
  • * History of severe traumatic brain injury, severe depression, stroke, brain tumors, and incident major systemic illness
Modelling Tau Distribution From DTI With Generative Adversarial Network for Alzheimer's Disease Diagnosis

Location Details

NCT05020626

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How to Participate

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Locations

RECRUITING

Hong Kong, Shin

The Chinese University of Hong Kong, Prince of Wale Hospital

Hong Kong, Shin, Hong Kong,