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

NCT04183972 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1126

Last updated 2021-06-30

No results posted yet for this study

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.

Conditions

  • Ultrasound Therapy; Complications

Interventions

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.

Sponsors & Collaborators

  • Huashan Hospital

    lead OTHER

Principal Investigators

  • Xiaoyu Yang, MD · Huashan Hospital

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-12-01
Primary Completion
2020-09-30
Completion
2020-10-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04183972 on ClinicalTrials.gov