Artificial Intelligence in Lung Ultrasound for Preeclampsia

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: Preeclampsia; Lung Edema

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

Study Locations

• Turkey
  • Ankara
    • Çankaya, Ankara, Turkey
      • Selin Bağcaz

Participation Criteria

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

How is the study designed?

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.	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

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

Study record dates

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

• Keywords: artificial intelligence; lung ultrasound; preeclampsia
• Additional Relevant MeSH Terms: Pregnancy Complications; Hypertension, Pregnancy-Induced; Pre-Eclampsia
• 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