Intravascular Imaging in the Optimal Diagnosis and Management of Coronary Artery Diseases
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Biomedical Optics".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 148
Special Issue Editor
Special Issue Information
Dear Colleagues,
Nowadays, the clinical utility of intravascular imaging modalities is widely known. The guideline of the European Society of Cardiology recommends that intravascular ultrasound or optical coherence tomography should be considered in selected patients to optimize stent implantation. Intravascular imaging is also useful in the prediction of further clinical events after percutaneous coronary interventions are deferred.
This begs the question, do all experts agree with and obey the recommendation of diagnosing and managing coronary artery disease by using intravascular imaging? The answer may not be yes, because of the undeniable influence of the diverse characteristics of patients and the target atherosclerotic lesion. When it comes to coronary interventions, the skill levels of the operators are also diverse. Regarding these numerous factors in coronary artery disease, information obtained by intravascular imaging must be deciphered and interpreted qualitatively, through a so-called “eye-ball measurement”, which is only possible by well-trained operators. All medical diagnoses and management strategies, including those in the field of coronary artery disease, will be augmented by artificial intelligence (AI), which can deal with numerous “quantified” data. Therefore, quantitative analysis of intravascular imaging needs to be implemented more, and comprehensive data analysis and management must become possible by implementing AI technologies. This Special Issue is focused on the various approaches in the contemporary management of coronary artery disease and should serve as an informative platform for all investigators and clinicians in this field.
Prof. Dr. Nobuaki Suzuki
Guest Editor
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Keywords
- intravascular imaging
- intravascular ultrasound
- optical coherence tomography
- artificial intelligence
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