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Related Experiment Video

Updated: Apr 19, 2026

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

Published on: August 12, 2025

Carotid intraplaque neovascularization quantification software (CINQS).

Zeynettin Akkus, Gerard van Burken, Stijn C H van den Oord

IEEE Journal of Biomedical and Health Informatics

|January 7, 2015

Summary

This summary is machine-generated.

A new software, Carotid intraplaque neovascularization quantification software (CINQS), enables accurate imaging biomarker analysis for atherosclerotic plaque vulnerability. This tool aids in predicting plaque instability using contrast-enhanced ultrasound.

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In vivo Near Infrared Fluorescence NIRF Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis

In vivo Near Infrared Fluorescence NIRF Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis

Published on: August 4, 2011

Area of Science:

Cardiovascular Imaging
Biomarkers
Medical Software Development

Background:

Intraplaque neovascularization (IPN) is a key indicator of atherosclerotic plaque vulnerability.
Contrast-enhanced ultrasound (CEUS) can detect IPN, offering potential for early vulnerability prediction.
Existing quantification tools struggle with carotid artery motion and plaque perfusion variability.

Purpose of the Study:

To develop and validate specialized software for quantitative analysis of carotid intraplaque neovascularization.
To identify optimal quantitative imaging biomarkers for predicting atherosclerotic plaque vulnerability.
To overcome limitations of current tools in analyzing carotid IPN.

Main Methods:

Development of Carotid intraplaque neovascularization quantification software (CINQS) with a modular design and user-friendly interface.
Inclusion of multiple analysis algorithms for systematic comparison of quantitative imaging biomarkers.
Evaluation of CINQS performance on 45 carotid plaques from 23 patients.

Main Results:

CINQS demonstrated effective and systematic comparison of quantitative imaging biomarkers.
Two quantitative imaging biomarkers derived from CEUS showed excellent agreement with visual IPN scores.
Achieved high diagnostic performance with areas under the receiver operating characteristic curve of 0.92 and 0.93.

Conclusions:

CINQS is a valuable tool for quantitative analysis of carotid intraplaque neovascularization.
The software facilitates the selection of robust imaging biomarkers for predicting plaque vulnerability.
Quantitative CEUS biomarkers show significant promise for non-invasively assessing atherosclerotic plaque stability.