Point of Care Ultrasound Lung Artificial Intelligence (AI) Validation Data Collection Study
AI
1 other identifier
observational
554
1 country
5
Brief Summary
This study is being conducted to collect image data and relevant clinical data from medical records of patients with suspicion of lung consolidation or pleural effusion. The information will be used to test the performance of Artificial Intelligence (AI) in identification of features associated with the above lung conditions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2021
Typical duration for all trials
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 13, 2021
CompletedFirst Posted
Study publicly available on registry
May 18, 2021
CompletedStudy Start
First participant enrolled
September 11, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 14, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 14, 2023
CompletedDecember 15, 2023
November 1, 2023
2.3 years
May 13, 2021
December 14, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The study data will be used to support future performance assessments for Artificial Intelligence based algorithms as described by FDA guidance for Computer Assisted Detection and Diagnostic Devices
Discharge up to 30 days (Single visit)
Study Arms (2)
Pleural Effusion
Adult and pediatric subjects with suspicion of pleural effusion
Lung Consolidation
Adult and pediatric subjects with suspicion of lung consolidation
Interventions
Ultrasound scan of subjects in up to 14 lung zones
Eligibility Criteria
Adult subjects with suspicion of pleural effusion or lung consolidation will be enrolled in the study. In addition, pediatric subjects with suspicion of lung consolidation (with weight of at least 10 kg) will be enrolled.
You may qualify if:
- Subjects presenting to the Emergency Department, admitted to the hospital, or seen in the outpatient setting with suspicion of pleural effusion or lung consolidation who received chest imaging to include chest X-ray or CT, or for whom chest X-ray or CT are planned.
- Suspicion of pleural effusion or lung consolidation may be based upon imaging findings or presentation of symptoms including (but not limited to) dyspnea, hypoxia, tachypnea, rales, or dullness.
- All attempts should be made for subjects to undergo scanning of 14 lung zones (adults) and 12 lung zones (pediatrics). Attempts should also be made to capture all required lung zones in adults and pediatrics. Instances where all zones cannot be captured need to be documented and reason for inability to scan them provided in EDC. See Section 8.1.3 Lung Ultrasound Exams.
- Subject is willing to provide informed consent (or assent where age appropriate) to participate in the study. Subjects under 18 years of age require informed consent of a parent or guardian and assent as required by institutional IRB.
- Weight of subject is greater than or equal to 10 kg.
You may not qualify if:
- Subject has pathology precluding safe and pain-free ultrasound probe placement such as burn, significant soft tissue injury or surgical incisions.
- Current imprisonment.
- Pregnancy (self-reported)
- Subjects with breast implants
- Prior pleurodesis procedure.
- History of severe lung disease and home oxygen use
- Presence of subcutaneous air that precludes imaging
- Body Mass Index (BMI) \> 40
- Significant scoliosis (Cobb angle ≥ 20 degrees).
- Pediatric subjects with chronic lung diseases other than asthma.
- Pediatric subjects on chronic respiratory support (i.e., nasal canula, CPAP, BiPAP, or tracheostomy).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (5)
Arizona Emergency Medical Research Center
Tucson, Arizona, 85724, United States
University of Colorado Hospital
Aurora, Colorado, 80045, United States
Yale School of Medicine
New Haven, Connecticut, 06510, United States
Beth Israel Deaconess Medical Center
Boston, Massachusetts, 02215, United States
Prisma Health Greenville Memorial Hospital
Greenville, South Carolina, 29605, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Jochen Kruecker
Philips Healthcare
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 13, 2021
First Posted
May 18, 2021
Study Start
September 11, 2021
Primary Completion
December 14, 2023
Study Completion
December 14, 2023
Last Updated
December 15, 2023
Record last verified: 2023-11