Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, L'Aquila, Italy.
Eur Rev Med Pharmacol Sci. 2022 May;26(10):3621-3641. doi: 10.26355/eurrev_202205_28858.
Cardiovascular diseases (CVDs) are among the most common causes of access to the Emergency Department and among the leading causes of death worldwide. Accurate diagnostic algorithms are mandatory to ensure a rapid life-saving treatment. However, non-specific clinical presentation and unnecessary referrals to other subspecialties may lead to misinterpretation of the diagnosis and delays. In recent years, the development of imaging technologies has allowed Computed Tomography (CT) to play a prominent role in the concepts of CVD rule-in and rule-out. An optimization strategy for CT protocols is needed to reduce variability and improve image quality. A correct diagnostic suspicion is crucial, as different districts (i.e., heart, aorta and pulmonary circulation) may require different investigation techniques. Additionally, the CVD pre-test probability assessment is highly correlated with CT accuracy. The purpose of this narrative review is to analyze the current role of CT in the approach to the CVDs in the ED, and to analyze the main strategies of CT optimization.
心血管疾病(CVDs)是急诊科最常见的就诊原因之一,也是全球范围内主要的致死原因之一。准确的诊断算法对于确保快速的救生治疗至关重要。然而,非特异性的临床表现和不必要的转诊到其他亚专科可能导致诊断的误解和延误。近年来,影像学技术的发展使得计算机断层扫描(CT)在心血管疾病的诊断中发挥了重要作用。需要优化 CT 方案,以减少变异性并提高图像质量。正确的诊断怀疑是至关重要的,因为不同的区域(即心脏、主动脉和肺循环)可能需要不同的检查技术。此外,心血管疾病的预检测概率评估与 CT 准确性高度相关。本文的目的是分析 CT 在急诊科心血管疾病诊疗中的作用,并分析 CT 优化的主要策略。