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Clinical Trials/NCT04183972
NCT04183972CompletedNot Applicable

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

Huashan Hospital1 site in 1 country1,126 target enrollmentStarted: December 1, 2019Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Completed
Enrollment
1,126
Locations
1
Primary Endpoint
The distance of the lateral midpoints of the nerve sheath contours

Study Overview

Brief 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.

Study Design

Study Type
Interventional
Allocation
Na
Intervention Model
Single Group
Primary Purpose
Diagnostic
Masking
None

Eligibility Criteria

Ages
18 Years to 80 Years (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • ASA physical status class I or II
  • scheduled for elective surgery

Exclusion Criteria

  • skin lesion or infection of neck
  • any known peripheral neuropathy
  • brachial nerve plexus injury
  • previous injury or operation on neck
  • pregnancy
  • allergic to ultrasound gel

Outcomes

Primary Outcomes

The distance of the lateral midpoints of the nerve sheath contours

Time Frame: immediately after the procedure

between model predictions and the ground truth; between nonexpert anesthesiologist predictions and the ground truth

Secondary Outcomes

  • Accuracy, Sensitivity and specificity(immediately after the procedure)
  • The percentage of the intersection over union(immediately after the procedure)

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Xiao-Yu Yang, MD

Principal Investigator

Huashan Hospital

Study Sites (1)

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