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A Simplified Stepwise Approach to Echo Guidance during Percutaneous Mitral Valve Repair

A Simplified Stepwise Approach to Echo Guidance during Percutaneous Mitral Valve Repair

Published on: October 16, 2021

A fully automated software platform for structural mitral valve analysis.

Robert Steinbach¹, U Joseph Schoepf², L Parkwood Griffith¹

¹Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, 29425, USA.

European Radiology

|July 4, 2020

Summary

This summary is machine-generated.

A new automated software for mitral valve analysis shows excellent agreement with user-driven methods for cardiac computer tomography angiography (CCTA) planning. This tool significantly reduces measurement time, improving efficiency for structural heart therapy procedures.

Keywords:

Automated mitral valve analysis Computed tomography Mitral valve Transcatheter mitral valve replacement

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Last Updated: Dec 16, 2025

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Area of Science:

Cardiovascular Imaging
Medical Software Development
Structural Heart Interventions

Background:

Accurate mitral valve assessment is crucial for planning structural heart therapies.
Current user-driven analysis methods can be time-consuming.
Novel automated software offers potential for improved efficiency and accuracy.

Purpose of the Study:

To evaluate a novel, fully automated software platform for mitral valve analysis.
To assess the software's utility in planning cardiac computer tomography angiography (CCTA)-based structural heart therapies.
To compare automated measurements with a user-driven reference standard.

Main Methods:

Fifty-two patients undergoing CCTA prior to mitral valve intervention were included.
Key mitral valve annulus parameters were measured using a fully automated software platform (with and without manual adjustments).
Measurements were compared to a user-driven program (3mensio) using intraclass correlation coefficients (ICC) and time analysis.

Main Results:

Fully automated measurements demonstrated good to excellent agreement with user-driven analysis (ICC range: 0.62-0.81).
Automated measurements with manual adjustments showed excellent agreement (ICC range: 0.78-0.93).
The automated software with manual adjustments significantly reduced analysis time (134.4s vs. 304.3s).

Conclusions:

The novel fully automated mitral valve analysis software, with manual adjustments, correlates strongly with user-driven analysis.
This automated approach significantly decreases the time required for mitral valve measurements.
The software is a promising tool for efficient CCTA-based structural heart therapy planning.