Artificial Intelligence in Lung Ultrasound for Preeclampsia

August 8, 2022 updated by: Berrin Gunaydin, Gazi University

Evaluation of Artificial Intelligence in Defining Lung Ultrasound Findings in Anesthesia Management of Preeclampsia

A total of eight quadrants of standard lung US examination was performed to all pregnant women with preeclampsia within the scope of the study by the same anesthesiologist, dividing each hemithorax into four regions through the parasternal, anterior axillary, posterior axillary vertical lines, and the horizontal line assumed to pass under the nipple. The resulting images were stored in digital media. A Lung US examination was performed once for an average of 5-10 minutes. The presence of B lines was investigated in the examination.

The case was defined as interstitial edema when the B lines, which are defined as vertical linear hyperechoic reverberation artifacts representing the edematous interlobular septa/alveoli, extend posteriorly from below the pleural line and moving in sync with lung movements, are found in two or more lung areas. B-lines were determined for each case and reported in standard form in terms of number and morphology. The diagnostic accuracy of B lines was determined with the artificial intelligence supported SmartAlpha Rievi 1300 software program. B-lines validated by artificial intelligence assisted algorithm in all stored digital images were reported blindly by another anesthesiologist experienced in lung US. The clinical features, laboratory parameters, and intraoperative hemodynamic data of the cases were recorded to be evaluated in terms of relationship with lung US data.

We predict that the application of lung US with artificial intelligence software will provide an opportunity to quickly evaluate the clinic of preeclamptic pregnant women who are frequently operated on in emergency conditions.

Study Overview

Status

Completed

Conditions

Detailed Description

After ethics committee approval, standard lung ultrasound (US) examination in eight quadrants was performed to search presence of B lines in 35 ASA III-IV parturients with preeclampsia by the same anesthesiologist. Interstitial edema was defined by recognition of the B lines in two or more lung regions. The digital images of B-lines verified with artificial intelligence (AI) were evaluated blindly by another anesthesiologist experienced in lung US.

After assigning preeclamptic patients as mild or severe; demographic, hemodynamic and labarotary results were compared. Then, lung US findings (A pattern, 3 B lines and 1 or 2 B lines) were documented. Additionally, amount of protein / 24 hr, amount of fluid infusion (crystalloid or colloid) and hemodynamic parameters acording to lung US findings were compared.

Study Type

Observational

Enrollment (Actual)

35

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ankara
      • Çankaya, Ankara, Turkey
        • Selin Bağcaz

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 45 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

35 parturients who diagnosed with preeclampsia

Description

Inclusion Criteria:

  • Pregnant women who underwent cesarean section with a diagnosis of preeclampsia

Exclusion Criteria:

  • Preeclamptic parturients who have another lung disease
  • Preeclamptic parturients whose optimal lung US image could not be obtained

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
For comparison, artificial intelligence assisted ultrasound and standard ultrasound in the follow-up of 35 preeclamptic parturients will be performed.
Time Frame: Lung ultrasound application once in the preoperative period
If present, pulmonary edema will be diagnosed by visualising 3 B lines at least 2 or more regions
Lung ultrasound application once in the preoperative period

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: D.Berrin Gunaydin, Prof., Gazi University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2021

Primary Completion (Actual)

July 1, 2022

Study Completion (Actual)

July 26, 2022

Study Registration Dates

First Submitted

August 2, 2022

First Submitted That Met QC Criteria

August 2, 2022

First Posted (Actual)

August 4, 2022

Study Record Updates

Last Update Posted (Actual)

August 10, 2022

Last Update Submitted That Met QC Criteria

August 8, 2022

Last Verified

August 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • 202

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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