Morphometric and hemodynamic parameter dataset for coronary artery aneurysms caused by atherosclerosis

Area of Science:

• Cardiovascular Research
• Medical Imaging
• Biomedical Engineering

Background:

• Coronary artery aneurysms (CAA) are uncommon, with atherosclerosis being the primary cause.
• Limited data exists on the clinical characteristics and hemodynamics of atherosclerosis-induced CAA.
• Intracranial aneurysms are more frequently investigated compared to CAAs.

Purpose of the Study:

• To provide detailed morphometric and hemodynamic parameters of coronary artery aneurysms (CAA) caused by atherosclerosis.
• To present the demographics of patients diagnosed with atherosclerosis-induced CAA.
• To classify atherosclerosis-induced CAAs based on collected data.

Main Methods:

• Reconstruction of epicardial coronary arterial trees from 61 patients.
• Computation of hemodynamic parameters from reconstructed arterial trees.
• Classification of CAAs into 4 distinct types based on morphometric and hemodynamic data.

Main Results:

• Detailed morphometric data of coronary arterial trees in patients with CAA.
• Comprehensive hemodynamic parameters derived from computed flow fields.
• Classification of atherosclerosis-induced CAAs into four types, with patient data provided.

Conclusions:

• This dataset offers crucial insights into the morphometric and hemodynamic characteristics of atherosclerosis-induced CAA.
• The findings contribute to a better understanding of CAA pathophysiology and clinical presentation.
• The data supports previous research and facilitates further investigation into coronary artery aneurysms.