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Interactions Between Morphological Plaque Characteristics and Coronary Physiology: From Pathophysiological Basis to
Seokhun Yang1, Bon-Kwon Koo2, Jagat Narula3
1Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.
High-risk coronary plaque and coronary physiology interact, influencing cardiovascular events. Integrating both assessments offers improved risk prediction and personalized treatment strategies for coronary artery disease.
Area of Science:
- Cardiovascular Medicine
- Interventional Cardiology
- Medical Imaging
Background:
- High-risk coronary plaque characteristics are linked to future coronary events.
- Coronary physiology indexes reflect local hemodynamics and vascular function.
- Current methods for plaque identification and physiological assessment have limitations in predicting clinical events.
Purpose of the Study:
- To review the pathophysiological interplay between coronary plaque morphology and coronary physiology.
- To explore the complementary role of plaque morphology and physiology in prognostication.
- To propose an integrative assessment approach for personalized risk stratification and treatment.
Main Methods:
- Review of clinical evidence on the interaction between plaque characteristics and physiological indexes.
- Examination of data on the combined prognostic value of morphology and physiology.
- Discussion of the application of integrative assessment in clinical practice.
Main Results:
- Plaque morphology alone does not reliably identify lesions causing major adverse cardiovascular events.
- Guideline-directed physiological assessments do not fully predict or prevent clinical events.
- Evidence suggests an interplay between plaque morphology and coronary physiology with clinical implications.
Conclusions:
- An integrative assessment combining coronary anatomy, plaque characteristics, and physiological data can enhance risk profiling.
- This comprehensive approach may overcome the limitations of individual assessments.
- Personalized risk stratification and optimized treatment strategies can be achieved through integrated evaluation.
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