Valvular & structural heart disease
Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography
Authors' conclusion
In this study, an automated pipeline was developed to identify clinically significant TR with excellent performance.
Study context
- Population
- Color Doppler echocardiogram studies; development at Cedars-Sinai Medical Center (CSMC) 2011–2021 (47,312 studies, 31,708 patients), chosen for parity across tricuspid regurgitation (TR) severity classestest studies per cohort
- Participants
- 2,462 vs 5,549
- Comparison
- CSMC test vs Stanford Healthcare (SHC)
- CSMC testn = 2,462
- SHCn = 5,549
- Outcome
- AUC, sensitivity and specificity for identifying A4C videos with color Doppler across the tricuspid valve, and AUC for identifying moderate to severe or severe TR
Methodological detailstemporally distinct test set, geographically distinct external cohort
- Temporally distinct test set
- Geographically distinct external cohort
Performance
As reported in the abstract
| Test or model | View classifier AUC | Studies with ≥1 A4C color Doppler video identified | View classifier sensitivity | View classifier specificity | Moderate or severe TR AUC | Severe TR AUC | Studies with ≥1 TR color Doppler video identified |
|---|---|---|---|---|---|---|---|
| CSMC test | 1.000 (95% CI, 0.999-1.000) | 2410 of 2462 | 0.975 (95% CI, 0.968-0.982) | 1.000 (95% CI, 1.000-1.000) | 0.928 (95% CI, 0.913-0.943) | 0.956 (95% CI, 0.940-0.969) | |
| SHC | 0.999 (95% CI, 0.998-0.999) | 0.949 (95% CI, 0.944-0.955) | 0.999 (95% CI, 0.999-0.999) | 0.951 (95% CI, 0.938-0.962) | 0.980 (95% CI, 0.966-0.988) | 5268 of the 5549 |
View classifier AUC
CSMC test1.000 (95% CI, 0.999-1.000)
SHC0.999 (95% CI, 0.998-0.999)
Studies with ≥1 A4C color Doppler video identified
CSMC test2410 of 2462
SHCNot reported in the abstract
View classifier sensitivity
CSMC test0.975 (95% CI, 0.968-0.982)
SHC0.949 (95% CI, 0.944-0.955)
View classifier specificity
CSMC test1.000 (95% CI, 1.000-1.000)
SHC0.999 (95% CI, 0.999-0.999)
Moderate or severe TR AUC
CSMC test0.928 (95% CI, 0.913-0.943)
SHC0.951 (95% CI, 0.938-0.962)
Severe TR AUC
CSMC test0.956 (95% CI, 0.940-0.969)
SHC0.980 (95% CI, 0.966-0.988)
Studies with ≥1 TR color Doppler video identified
CSMC testNot reported in the abstract
SHC5268 of the 5549
Original publication
Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography. JAMA Cardiol. Published 1 June 2025. doi:10.
Summarised from the published abstract; every number is checked against it