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

Lung Cancer Artificial Intelligence Endobronchial Ultrasound

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

Plain Language Summary

Simplified for easier understanding

This study is testing whether artificial intelligence (AI) can improve the accuracy of a lung procedure called EBUS-TBNA (endobronchial ultrasound-guided needle biopsy), which is used to sample enlarged lymph nodes in the chest to check for cancer or other diseases. **You may be eligible if...** - You are 18 years old or older - You have been referred to a chest (thoracic) department for investigation of enlarged lymph nodes in the chest that haven't been diagnosed yet **You may NOT be eligible if...** - You are pregnant - Your doctor feels this study is not appropriate for you for any reason Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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