Artificial Intelligence in Lung Ultrasound for Preeclampsia

NCT05487014 | Completed

• 1 other identifier: 202
• Study Type: observational
• Target: 35
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Preeclampsia; Lung Edema

Keywords

preeclampsia; lung ultrasound; artificial intelligence

Outcome Measures

Primary Outcomes (1)

• 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

Eligibility Criteria

• Age: 18 Years - 45 Years
• Sex: female
• Healthy Volunteers: No
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

35 parturients who diagnosed with preeclampsia

You may qualify if:

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

You may not qualify if:

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

Sponsors & Collaborators

• Gazi University: lead

Study Sites (1)

Selin Bağcaz

Çankaya, Ankara, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Pre-Eclampsia; Pulmonary Edema

Condition Hierarchy (Ancestors)

Hypertension, Pregnancy-Induced; Pregnancy Complications; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Lung Diseases; Respiratory Tract Diseases

Study Officials

• D.Berrin Gunaydin, Prof.

  Gazi University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: professor doctor

Study Record Dates

• First Submitted: August 2, 2022
• First Posted: August 4, 2022
• Study Start: July 1, 2021
• Primary Completion: July 1, 2022
• Study Completion: July 26, 2022
• Last Updated: August 10, 2022

Record last verified: 2022-08

Locations

TU (1)