Lung ultrasound
DeviceLung ultrasound software.
Other names: SaMD
NCT Number: NCT07046234
This is a prospective, non-randomized clinical validation research study. Subjects will consent and have two ultrasounds as part of the study.
Interested in participating?
Request Info22 year and older
All sexes
Interventional
Not applicable
Yale University School of Medicine, New Haven, Connecticut, United States
This study is to collect data to validate the performance of Caption Lung AI in enabling trained healthcare professionals to perform LUS to obtain diagnostic-quality Lung Ultrasound Studies.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Lung ultrasound software.
Other names: SaMD
Time frame: 7 months
The primary endpoint will be based on the majority assessment of the independent expert readers qualitatively assessment of the LUS exam (study level) as being of diagnostic quality.
Time frame: 7 months
The primary endpoint will be based on the majority assessment of the independent expert readers qualitatively assessment of the LUS exam (study level) as being of diagnostic quality.
Time frame: 7 months
Sub-group analyses will be performed on the diagnostic image quality performance, with descriptive statistics reported based on age (< 65, ≥ 65), BMI group (< 25, 25 ≤ BMI < 30, ≥ 30), gender (Male / Female), site location, THCP, and zone of the image (1 - 8). The statistical analysis procedure and all applicable performance metrics that were used on the whole sample (i.e., the Primary Outcome Measures) will be repeated for each sub-group level. This will be conducted to ensure that there is no inherent bias where a specific sub-group level has a greater impact on the overall whole-sample performance compared to other levels.
Time frame: 7 months
Sub-group analyses will be performed on the diagnostic image quality performance, with descriptive statistics reported based on age (< 65, ≥ 65), BMI group (< 25, 25 ≤ BMI < 30, ≥ 30), gender (Male / Female), site location, THCP, and zone of the image (1 -12). The statistical analysis procedure and all applicable performance metrics that were used on the whole sample (i.e., the Primary Outcome Measures) will be repeated for each sub-group level. This will be conducted to ensure that there is no inherent bias where a specific sub-group level has a greater impact on the overall whole-sample performance compared to other levels.
Time frame: 7 months
Task-based comparison of the study and control exams:
o Aided non-experts (i.e., THCP) and unaided experts (i.e., Expert LUS user) clips will be reviewed by expert readers for "normal" and "abnormal" ultrasound assessment at the zone level (B-lines, Pleural effusion, Non-aerated Lung / Consolidation, Lung Sliding).
Time frame: 7 months
Task-based comparison of the study and control exams:
o Aided user and unaided user (i.e., Qualified user) clips will be reviewed by expert readers for "normal" and "abnormal" ultrasound assessment at the zone level (B-lines, Pleural effusion, Non-aerated Lung / Consolidation, Lung Sliding).
Time frame: 7 months
Recording mode (% of clips acquired with auto-capture rate versus save best clip).
Time frame: 7 months
Acquisition time to complete the LUS exam and for each view (1 - 8).
Time frame: 7 months
Acquisition time to complete the LUS exam and for each view (1 - 12).
Time frame: 7 months
Inter-rater (physician image-interpretation) variability.
GE Healthcare
Industry
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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