Automatic Quantification of Volumes and Biventricular Function in
Cardiac Resonance. Validation of a New Artificial Intelligence Approach
- URL: http://arxiv.org/abs/2206.01746v1
- Date: Fri, 3 Jun 2022 14:17:12 GMT
- Title: Automatic Quantification of Volumes and Biventricular Function in
Cardiac Resonance. Validation of a New Artificial Intelligence Approach
- Authors: Ariel H. Curiale, Mat\'Ias E. Calandrelli, Lucca Dellazoppa, Mariano
Trevisan, Jorge Luis Boci\'An, Juan Pablo Bonifacio, Germ\'An Mato
- Abstract summary: The aim of this study is to validate a new artificial intelligence tool in order to quantify the cardiac biventricular function (volume, mass, and EF)
The method proposes two convolutional networks that include anatomical information of the heart to reduce classification errors.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Background: Artificial intelligence techniques have shown great potential in
cardiology, especially in quantifying cardiac biventricular function, volume,
mass, and ejection fraction (EF). However, its use in clinical practice is not
straightforward due to its poor reproducibility with cases from daily practice,
among other reasons. Objectives: To validate a new artificial intelligence tool
in order to quantify the cardiac biventricular function (volume, mass, and EF).
To analyze its robustness in the clinical area, and the computational times
compared with conventional methods. Methods: A total of 189 patients were
analyzed: 89 from a regional center and 100 from a public center. The method
proposes two convolutional networks that include anatomical information of the
heart to reduce classification errors. Results: A high concordance (Pearson
coefficient) was observed between manual quantification and the proposed
quantification of cardiac function (0.98, 0.92, 0.96 and 0.8 for volumes and
biventricular EF) in about 5 seconds per study. Conclusions: This method
quantifies biventricular function and volumes in seconds with an accuracy
equivalent to that of a specialist.
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