Faculty Advisor(s)
Lynn Blazaskie
Abstract
Aortic dissections are life-threatening conditions that require an immediate and accurate diagnosis to prevent severe complications, and in some instances death. An aortic dissection is a tear that occurs within the inner layers of the aorta. Symptoms include sudden intense chest pain, shortness of breath, and stroke-like symptoms. This research discusses the utilization of computed tomography (CT) in diagnosing aortic dissections, highlighting its advantages in speed and precision through advancing technology. Computed tomography angiography (CTA) has become a vital imaging modality in the medical imaging field. CTA uses an iodinated contrast media to enhance blood vessels by making them a bright white color on the cross-sectional images. Contrast allows for clearer detection of abnormalities such as blockages, aneurysms, dissections, or other vascular pathologies. CT enables detailed visualization of the aorta and its branches through the use of 3-D reconstructions. Recent advancements in CT technology, including multi-detector and artificial intelligence (AI), further enhance diagnostic efficacy by improving image resolution and analysis. The ability to quickly and accurately diagnose aortic dissections through CT, plays a vital role in guiding timely surgical interventions and optimizing patient management, ultimately improving clinical outcomes.
Publication Date
2025
Document Type
Poster
Department
Medical Imaging
Keywords
computed tomography (CT), aortic dissection (AD), computed tomography angiography (CTA), acute aortic syndrome (AAS), acute type A aortic dissection (ATAAD)
Disciplines
Medicine and Health Sciences
Recommended Citation
York, Caroline, "Diagnosing Aortic Dissections with Computed Tomography" (2025). Student Research Poster Presentations 2025. 10.
https://digitalcommons.misericordia.edu/research_posters2025/10