Status:
TERMINATED
Diagnostic Yield of Deep Learning Based Denoising MRI in Cushing's Disease
Lead Sponsor:
Asan Medical Center
Conditions:
Pituitary ACTH Secreting Adenoma
Eligibility:
All Genders
18+ years
Brief Summary
Negative MRI findings may occur in up to 40% of cases of ACTH producing microadenomas. The aim of the study is to evaluate if detection of ACTH producing microadenomas can be increased using deep lear...
Detailed Description
Detecting ACTH producing microadenoma in MRI is important in establishing the diagnosis of Cushing disease and may enable patients to avoid additional diagnostic tests such as inferior petrosal sinus ...
Eligibility Criteria
Inclusion
- Patients suspected of Cushing disease undergoing MRI
- Signed informed consent
Exclusion
- Patients who have any type of bioimplant activated by mechanical, electronic, or magnetic means (e.g., cochlear implants, pacemakers, neurostimulators, biostimulates, electronic infusion pumps, etc), because such devices may be displaced or malfunction
- Patients who are pregnant or breast feeding; urine pregnancy test will be performed on women of child bearing potential
- Poor MRI image quality due to artifacts
Key Trial Info
Start Date :
January 10 2020
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
February 28 2023
Estimated Enrollment :
15 Patients enrolled
Trial Details
Trial ID
NCT04121988
Start Date
January 10 2020
End Date
February 28 2023
Last Update
May 14 2024
Active Locations (1)
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1
Asan Medical Center
Seoul, South Korea