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Histological Quantification of Chronic Myocardial Infarct in Rats

Histological Quantification of Chronic Myocardial Infarct in Rats

Published on: December 11, 2016

A highly accurate method for quantifying LVNC cardiomyophaty.

Gregorio Bernabé¹, José D Casanova¹, Guillem Casas²

¹Computer Engineering, University of Murcia, Spain.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|May 3, 2021

Summary

This summary is machine-generated.

A new software tool, QLVTHC-NC, accurately quantifies left ventricular hypertrabeculation in patients with left ventricular non-compaction (LVNC) cardiomyopathy. This automated method improves diagnostic accuracy and efficiency compared to manual assessments and fractal analysis.

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Last Updated: Nov 7, 2025

Histological Quantification of Chronic Myocardial Infarct in Rats

Histological Quantification of Chronic Myocardial Infarct in Rats

Published on: December 11, 2016

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

Published on: February 16, 2016

Area of Science:

Cardiology
Medical Imaging
Biomedical Engineering

Background:

Left ventricular non-compaction (LVNC) is characterized by increased endo-myocardial trabeculations.
Hypertrabeculation frequently co-occurs with genetic cardiomyopathies.
Accurate quantification of trabeculation is crucial for LVNC diagnosis and management.

Purpose of the Study:

To enhance a software tool (QLVTHC-NC) for automatic quantification of left ventricular hypertrabeculation in LVNC patients.
To evaluate the diagnostic performance of the improved software against manual methods and fractal analysis.

Main Methods:

Development and evaluation of the QLVTHC-NC software tool.
Input: End-diastolic cardiac magnetic resonance images from 18 LVNC patients (133 images).
Output: Left ventricular mass, volumes, and proportion of compacted and trabeculated zones.

Main Results:

The QLVTHC-NC software demonstrated significant improvements over manual quantification, reducing diagnosis time.
QLVTHC-NC achieved higher diagnostic accuracy compared to fractal analysis for differentiating LVNC and non-LVNC patients.
The proposed method offers lower complexity and cost than fractal criteria.

Conclusions:

The enhanced QLVTHC-NC software provides an accurate and efficient tool for quantifying left ventricular hypertrabeculation in LVNC.
QLVTHC-NC improves diagnostic accuracy and reduces complexity and cost in LVNC assessment.
This automated approach aids in timely and precise diagnosis of LVNC cardiomyopathy.