NCT05768698

Assessment of Left Ventricular Filling Pressure by Applying Artificial Intelligence Algorithms to Left Atrial Speckle-tracking Echocardiography

Valutazione Delle Pressioni di Riempimento Del Ventricolo Sinistro Attraverso l'Impiego di un Software di Intelligenza Artificiale Applicato Alla Stima Dello Strain Atriale Sinistro Con Ecocardiografia Speckletracking: Studio di Validazione Mediante Cateterismo Cardiaco

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 20 (estimated)
• Sponsor: Istituto Auxologico Italiano · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: —

Summary

The goal of this single-center, prospective, observational study is to validate a software package based on an artificial intelligence algorithm for automated non-invasive estimation of LVFP against invasively measured ones by left and right heart catheterization; In addition, the added value of this new automated software to detect increased LVEDP \> 15 mm Hg compared to the current ASE/EACVI algorithm for assessing diastolic dysfunction and longitudinal left atrial strain during the reservoir phase will be evaluated.

Conditions

• Heart Failure, Diastolic
• Echocardiography

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Software algorithm	Validation of a software package based on an artificial intelligence algorithm for automated non-invasive estimation of LVFP against invasively measured ones by left and right heart catheterization

Timeline

• Start date: 2021-07-20
• Primary completion: 2024-06-11
• Completion: 2024-06-11
• First posted: 2023-03-14
• Last updated: 2024-04-16

Locations

1 site across 1 country: United States