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Diagnostic Yield of Deep Learning Based Denoising MRI in Cushing's Disease

NCT04121988 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 15

Last updated 2024-05-14

No results posted yet for this study

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 learning based denoising MRI.

Conditions

  • Pituitary ACTH Secreting Adenoma

Interventions

DIAGNOSTIC_TEST

MRI

1 mm slice thickness with deep learning based reconstruction algorithm applied to the following sequences: * Coronal T2 weighted imaging * Dynamic contrast enhanced T1 weighted imaging * Coronal contrast enhanced T1 weighted imaging

Sponsors & Collaborators

  • Asan Medical Center

    lead OTHER

Principal Investigators

  • Ho Sung Kim, MD PhD · Asan Medical Center

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-10
Primary Completion
2023-02-28
Completion
2023-02-28

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04121988 on ClinicalTrials.gov