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Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence

Lung Cancer Clinical Trial

Official title:
Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using a Deep Neural Network

Clinical Trial 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.

Clinical Trial Description

Multi-center prospective feasibility study. The DNN model will be trained on ultrasound images with annotation to identifies lymph nodes and blood vessels examined with EBUS. The ability of the DNN to segment lymph nodes and vessels based on postoperative processing and static EBUS images will be evaluated in the first part of the study. In the second part of the study Real-time use of DNN in EBUS procedure will be evaluated. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05739331
Study type Observational
Source Norwegian University of Science and Technology
Contact Øyvind Ervik, MD
Phone +4791634595
Email oyvind.ervik@ntnu.no
Status Recruiting
Phase
Start date May 1, 2023
Completion date December 1, 2025
View Details
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