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Updated: Sep 3, 2025

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue
Published on: November 11, 2022
Plaque Structural Stress: Detection, Determinants and Role in Atherosclerotic Plaque Rupture and Progression
Sophie Z Gu1, Martin R Bennett1
1Section of Cardiorespiratory Medicine, Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
Insights
Peak plaque structural stress (PSS) predicts cardiovascular events by assessing plaque vulnerability. This biomarker offers improved risk stratification for patients with atherosclerosis, guiding better treatment decisions.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Imaging
Background:
- Atherosclerosis is a leading cause of global mortality, primarily driven by coronary plaque rupture or erosion.
- Current imaging techniques have limitations in accurately predicting major adverse cardiovascular events (MACE) at the individual plaque level.
- Improved biomarkers are crucial for enhancing risk stratification in patients with coronary artery disease.
Purpose of the Study:
- To review the methods for calculating plaque structural stress (PSS).
- To explore the determinants of PSS and its correlation with cardiovascular events.
- To discuss the potential of PSS as a prognostic tool in coronary artery disease.
Main Methods:
- Review of existing literature on PSS calculation and validation.
- Analysis of imaging modalities used for PSS modeling.
- Examination of experimental and clinical data linking PSS to disease progression.
Main Results:
- Peak PSS correlates with acute coronary syndrome presentation, plaque rupture, and MACE.
- PSS integrates plaque architecture, material properties, and hemodynamics for comprehensive risk assessment.
- PSS provides prognostic information beyond traditional imaging methods.
Conclusions:
- PSS is a promising biomarker for improving risk stratification in atherosclerosis.
- Understanding PSS can refine treatment strategies and enhance prediction of future cardiovascular events.
- Further research into PSS modeling and clinical application is warranted.
Abstract:
Atherosclerosis remains a major cause of death worldwide, with most myocardial infarctions being due to rupture or erosion of coronary plaques. Although several imaging modalities can identify features that confer risk, major adverse cardiovascular event (MACE) rates attributable to each plaque are low, such that additional biomarkers are required to improve risk stratification at plaque and patient level. Coronary arteries are exposed to continual mechanical forces, and plaque rupture occurs when plaque structural stress (PSS) exceeds its mechanical strength. Prospective studies have shown that peak PSS is correlated with acute coronary syndrome (ACS) presentation, plaque rupture, and MACE, and provides additional prognostic information to imaging. In addition, PSS incorporates multiple variables, including plaque architecture, plaque material properties, and haemodynamic data into a defined solution, providing a more detailed overview of higher-risk lesions. We review the methods for calculation and determinants of PSS, imaging modalities used for modeling PSS, and idealized models that explore structural and geometric components that affect PSS. We also discuss current experimental and clinical data linking PSS to the natural history of coronary artery disease, and explore potential for refining treatment options and predicting future events.
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