Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence

Launched by NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY · Feb 13, 2023

Keywords

ClinConnect Summary

This clinical trial is studying how artificial intelligence, specifically a deep neural network (DNN), can help doctors better examine lymph nodes in the chest area using a procedure called Endobronchial Ultrasound (EBUS). This technique is important for diagnosing conditions like lung cancer, especially when there are enlarged lymph nodes that need further investigation. The goal of the study is to see if the DNN can help identify these lymph nodes and nearby blood vessels more effectively.

To participate in this trial, individuals need to be at least 18 years old and have enlarged mediastinal (chest) or hilar (near the lungs) lymph nodes that haven’t been diagnosed yet. The trial is open to all genders and is currently recruiting participants. Those who are pregnant or deemed unsuitable for the study by the investigator will not be eligible. If you join the study, you can expect to undergo EBUS with the assistance of artificial intelligence, which may help enhance the accuracy of the examination and potentially lead to better treatment options.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 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 Criteria:
• • Pregnancy
• • Any patient that the Investigator feels is not appropriate for this study for any reason.