Article

Assessment of a Non-Invasive Approach for Pressure Volume Loop Prediction in Mice

2025-04-09

Abstract excerpt

<title>Abstract</title> <p>Left ventricular pressure-volume (PV) loop measurement provides insights into cardiac function by mapping the relationship between left ventricular pressure and volume throughout the cardiac cycle. PV loops are used extensively in pre-clinical studies, but they are obtained through invasive and often terminal procedures. In prior studies utilizing data from large mammals (e.g., pigs and...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1a263fb7-3ef9-5953-a556-def4bc459927
DOI: 10.21203/rs.3.rs-5189519/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Assessment of a Non-Invasive Approach for Pressure Volume Loop Prediction in MiceDOI 10.21203/rs.3.rs-5189519/v1Read

Non-Invasive Quantification of Pressure-Volume Loops in Patients with Fontan CirculationSemantic proximity Read

Diastolic Dysfunction in Congenital Heart Disease: A Pressure-Volume Loop Analysis of Borderline Left HeartSemantic proximity Read

Measuring lung function in mice: the phenotyping uncertainty principle.Semantic proximity Read

Development of Computational Pipeline for Right Ventricular Hemodynamic Single-Beat AnalysisSemantic proximity Read

Soft robotics-enabled large animal model of HFpEF hemodynamics for device testingSemantic proximity Read

Ultrasound-Based Hemodynamic Force Trajectories in a Murine Model of Reversible Pressure OverloadSemantic proximity Read

Feasability of Baseline cardIac investiGation in awake elepHants ( <i>Elephas mAximus</i> ) using tRansThoracic echocardiography: the BIG HEART studySemantic proximity Read

Regional pleural strain measurements during mechanical ventilation using ultrasound elastography: A randomised, crossover, proof of concept physiologic studySemantic proximity Read

DIA-PINN. A physics-informed machine learning method to estimate global intrinsic diastolic chamber properties of the left ventricle from pressure-volume dataSemantic proximity Read

Computed tomographic assessment of lung aeration at different positive end-expiratory pressures in a porcine model of intra-abdominal hypertension and lung injurySemantic proximity Read

A New Mathematical Model for LVAD-Supported Ventricles: Direct Parameterization from Ramp-Test Clinical Data and Verification via Hybrid ModelingSemantic proximity Read

plethy: management of whole body plethysmography data in R.Semantic proximity Read