Using artificial intelligence to enhance endobronchial ultrasound for lung cancer evaluation

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study evaluates the effectiveness of a deep neural network (DNN) in identifying mediastinal and hilar lymph nodes during endobronchial ultrasound (EBUS) procedures. It is a multi-center prospective feasibility study that trains the DNN on annotated ultrasound images to improve the segmentation of lymph nodes and blood vessels. The study consists of two parts: the first assesses the DNN's performance on static EBUS images, while the second evaluates its real-time application during EBUS procedures.

Why it matters

Who can join: the full rules

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.

Where it's running

• Department of Pulmonology, Levanger Hospital, North Trøndelag Hospital Trust
  Levanger, Norway Recruiting
• Department of Thoracic Medicine, St Olavs Hospital
  Trondheim, Norway Recruiting

Study contacts

• Study coordinator: Øyvind Ervik, MD
• Email: oyvind.ervik@ntnu.no
• Phone: +4791634595

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.