RecruitingNCT05739331
Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence
Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using a Deep Neural Network
Sponsor
Norwegian University of Science and Technology
Enrollment
50 participants
Start Date
May 1, 2023
Study Type
OBSERVATIONAL
Conditions
Summary
To evaluate the usefulness of Deep neural network (DNN) in the evaluation of mediastinal and hilar lymph nodes with Endobronchial ultrasound (EBUS). The study will explore the feasibility of DNN to identify lymph nodes and blood vessel examined with EBUS.
Eligibility
Min Age: 18 Years
Inclusion Criteria2
- Subjects referred to thoracic department in any of the participating hospitals with undiagnosed enlarged mediastinal and hilar lymph nodes.
- Subjects have to be ≥ 18 years of age
Exclusion Criteria2
- Pregnancy
- Any patient that the Investigator feels is not appropriate for this study for any reason.
Interventions
DEVICEmachine learning algorithm
Machine learning algorithm run on EBUS images for real-time labelling of mediastinal lymph nodes and lymph node level
Locations(2)
View Full Details on ClinicalTrials.gov
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NCT05739331
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