دورية أكاديمية

Visualization of Borderline Coronary Artery Lesions by CT Angiography and Coronary Artery Disease Reporting and Data System

التفاصيل البيبلوغرافية
العنوان: Visualization of Borderline Coronary Artery Lesions by CT Angiography and Coronary Artery Disease Reporting and Data System
المؤلفون: Hyewon Park, Yu-Whan Oh, Ki Yeol Lee, Hwan Seok Yong, Cherry Kim, Sung Ho Hwang
المصدر: Journal of the Korean Society of Radiology, Vol 85, Iss 2, Pp 297-307 (2024)
بيانات النشر: The Korean Society of Radiology, 2024.
سنة النشر: 2024
المجموعة: LCC:Medical physics. Medical radiology. Nuclear medicine
مصطلحات موضوعية: coronary artery disease, atherosclerosis, coronary, coronary stenosis, atherosclerotic plaque, ct angiography, Medical physics. Medical radiology. Nuclear medicine, R895-920
الوصف: Coronary artery disease (CAD) narrows vessel lumens at the sites of atherosclerosis, increasing the risk of myocardial ischemia or infarction. Early and accurate diagnosis of CAD is crucial to significantly improve prognosis and management. CT angiography (CTA) is a noninvasive imaging technique that enables assessment of vascular structure and stenosis with high resolution and contrast. Coronary CTA is useful in the diagnosis of CAD. Recently, the CAD-reporting and data system (CAD-RADS), a diagnostic classification system based on coronary CTA, has been developed to improve intervention efficacy in patients suspected of CAD. While the CADRAD is based on CTA, it includes borderline categories where interpreting the coronary artery status solely based on CTA findings may be challenging. This review introduces CTA findings that fall within the CAD-RADS categories that necessitate additional tests to decide to perform invasive coronary angiography and discusses appropriate management strategies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Korean
تدمد: 2951-0805
Relation: https://doaj.org/toc/2951-0805
DOI: 10.3348/jksr.2023.0141
URL الوصول: https://doaj.org/article/d735641646194f24a41e02264f35f76f
رقم الأكسشن: edsdoj.735641646194f24a41e02264f35f76f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:29510805
DOI:10.3348/jksr.2023.0141