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Related Experiment Video

Updated: Nov 17, 2025

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography

Published on: October 28, 2020

Understanding and recognition of the right ventricular function and dysfunction via a numerical study.

Giulia Comunale¹, Paolo Peruzzo², Biagio Castaldi³

¹Cardiovascular Fluid Dynamics Laboratory HER, Department of Civil, Environmental and Architectural Engineering, University of Padova, Via Loredan 20, 35131, Padova, Italy. giulia.comunale@dicea.unipd.it.

Scientific Reports

|February 13, 2021

Summary

Right ventricular (RV) dysfunction significantly impacts overall circulation. This study introduces a numerical model to assess RV dysfunction

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Last Updated: Nov 17, 2025

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography

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Published on: October 28, 2020

Assessment of Right Ventricular Structure and Function in Mouse Model of Pulmonary Artery Constriction by Transthoracic Echocardiography

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Published on: February 3, 2014

Evaluation of Right Ventricular Function in Experimental Models of Pulmonary Arterial Hypertension

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Published on: June 27, 2025

Area of Science:

Cardiovascular Physiology
Biomedical Engineering
Computational Medicine

Background:

Right ventricular (RV) dysfunction's clinical impact is often underestimated.
RV dysfunction affects both pulmonary and systemic circulation, yet detailed hemodynamic studies are lacking.

Purpose of the Study:

To develop and validate a numerical model for evaluating isolated RV dysfunction's effect on the entire circulatory system.
To quantify hemodynamic alterations caused by various grades of RV systolic, diastolic, and combined dysfunction.

Main Methods:

Lumped parameter modeling was employed to simulate RV-cardiovascular interactions.
Simulations included different degrees of systolic, diastolic, and combined RV dysfunction.
Calculated hemodynamic parameters (blood pressure, flow) were analyzed and compared with clinical data.

Main Results:

The numerical model accurately reflects clinical observations of RV dysfunction.
RV dysfunction was shown to significantly alter pulmonary and systemic hemodynamics.
Model verification against in vivo data confirmed its clinical utility in assessing RV impairment.

Conclusions:

The developed model provides a valuable tool for understanding and quantifying the hemodynamic consequences of RV dysfunction.
This research aids in improving the recognition and clinical management of right heart pathologies.
The model has the potential to assist in identifying the severity of RV impairment under specific hemodynamic conditions.