A Study to Assess the Accuracy of Artificial Intelligence for Ultrasound-guided Regional Anesthesia

NCT ID: NCT05807737

Last Updated: 2023-04-11

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 40 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2020-10-15
• Study Completion Date: 2020-11-15

Brief Summary

The goal of this observational study is to assess the accuracy of Artificial Intelligence (AI) software to assist ultrasound scanning prior to peripheral nerve blocks. 40 healthy volunteers are going to be accepted to this study in which ultrasound scanning will be performed for four different block types.

The main questions it aims to answer are:

• Can Nerveblox, the artificial intelligence software highlight and find the key anatomical landmarks on the provided nerve or plane block correctly?
• Can the user obtain a correct view of provided nerve or plane block, when the AI software scan success reaches 100%?

Participants will be evaluated under four nerve block regions to identify their key anatomical landmarks using ultrasound-guided artificial intelligence software.

Three residents with different levels of Ultrasound-guided Regional Anesthesia(UGRA) experience but eligible to perform UGRA techniques will collect the ultrasound images when the artificial intelligence software scan success fed by ultrasound reached 100%. After collecting US images, each pair of US images(highlighted and raw ) will be evaluated by 2 experts for the accuracy of AI assistance, independently and blindly.

Detailed Description

Ultrasound-guided Regional Anesthesia (UGRA) is currently an effective method for the anesthesiologist. In this single-centered study, we aim to assess the accuracy of artificial intelligence effectiveness. All scans will be performed on an FDA-cleared general-purpose ultrasound device (GE Logiq, Wisconsin, USA) and software setup will be provided by the sponsor also having the software (Nerveblox, Smart Alfa Teknoloji San. Ve Tic. A.S., Ankara, Turkey).

The methodology of the study is that:

• Three independent residents, in the 2nd, 3rd, and 4th years of education in the field of anesthesiology and also eligible to perform UGRA, will be recruited for using the artificial intelligence software (Nerveblox v1.0).
• 40 (20 male and 20 female) volunteers will be recruited for the study and the volunteer's demographic information (body mass index, gender, age) will be considered and recorded.
• The order of volunteers will be randomized between participants.
• Considered peripheral nerve and plane blocks are:

1. Interscalene brachial plexus

2. Supraclavicular brachial plexus

3. Infraclavicular brachial plexus

4. Transversus abdominis plane

• Each trainee will reach 100% "scan success" on the Nerveblox to record the raw and highlighted images.
• Each trainee will scan only 1 time.

On the data analysis:

• Evaluation of the accuracy of artificial intelligence software will be completed independently by 2 experts in the field of regional anesthesia using the grading scale (0: mislocated, 1: very poor, 2: poor, 3: good, 4: very good, 5: excellent).
• Experts will be asked the evaluate the accuracy of Nerveblox highlighting performance when it reached 100%.
• Demographic data averages will be presented on the result of the study.
• Data will be analyzed by using SPSS 25.0 software at a 95% confidence level. For the measurements, the mean, standard deviation (SD), minimum, maximum, and median statistics will be provided.

Conditions

Ultrasound Imaging

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: PROSPECTIVE

Interventions

Ultrasound scanning with artificial intelligence

Three residents who are eligible to perform ultrasound-guided regional anesthesia will scan volunteers in random order with artificial intelligence software (Nerveblox) fed by an FDA-cleared ultrasound device.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• Volunteers over the age of 18
• Able to accept and sign the Informed Consent Form before participating in the study

Exclusion Criteria

• Volunteers below the age of 18
• Unwilling to accept or having psychiatric/neurological diseases to sign an Informed Consent Form before participating in the study
• Inability to lie flat
• Anatomical deformity in the selected regions

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Gazi University

OTHER

Sponsor Role: collaborator

Smart Alfa Teknoloji San. ve Tic. A.S.

INDUSTRY

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Dudu Berrin Günaydın, Proffessor

Role: STUDY_DIRECTOR

Gazi University

Locations

Gazi University School of Medicine

Çankaya, Ankara, Turkey (Türkiye)

Countries

Turkey (Türkiye)

References

Gungor I, Gunaydin B, Oktar SO, M Buyukgebiz B, Bagcaz S, Ozdemir MG, Inan G. A real-time anatomy identification via tool based on artificial intelligence for ultrasound-guided peripheral nerve block procedures: an accuracy study. J Anesth. 2021 Aug;35(4):591-594. doi: 10.1007/s00540-021-02947-3. Epub 2021 May 19.

Reference Type: RESULT

PMID: 34008072 (View on PubMed)

Other Identifiers

SMARTALPHA-NERVEBLOX-1021

Identifier Type: -

Identifier Source: org_study_id