NCT04183972

Identification of Interscalene Brachial Plexus on Ultrasonography Using a Deep Neural Network

Identification of Interscalene Brachial Plexus Automatically on Ultrasonography Using a Deep Neural Network

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,126 (actual)
• Sponsor: Huashan Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

The purpose of the study is to develop and validate an algorithm based on deep neural networks (DNNs) to identify interscalene brachial plexus on ultrasonography automatically.

Detailed description

The investigators plan to develop a deep learning-based network to automatically identify interscalene brachial nerves on ultrasound images. The trained model will be validated on an independent dataset. The performance of the network will also be compared against practicing anesthesiologists.

Conditions

• Ultrasound Therapy; Complications

Interventions

Type	Name	Description
PROCEDURE	ultrasound examination	the participants will be placed in the supine position, with head turned slightly away from the operating side and arms beside the body. The operator will identify right and left interscalene brachial plexuses by ultrasound equipment (Sonosite EDGE or GE LOGIQ e). Clear images and videos of brachial plexus will be captured and saved.

Timeline

• Start date: 2019-12-01
• Primary completion: 2020-09-30
• Completion: 2020-10-31
• First posted: 2019-12-03
• Last updated: 2021-06-30

Locations

1 site across 1 country: China