Stefan L. Leber , Felix Gunzer , Eva Maria Hassler , Peter Opriessnig , Thomas Metzner , Günther Silbernagel , Hannes Deutschmann , Gernot Reishofer
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引用次数: 0
Abstract
Background
Magnetic resonance (MR) diffusion tensor imaging (DTI) is a new, non-invasive method to investigate arterial vessel walls. High resolution diffusion weighted imaging (DWI) in combination with a two-dimensional (2D) diffusion gradient sampling scheme has recently been demonstrated as feasible for evaluating diffusivity in the vessel wall of human carotids. We aimed to identify associations of altered diffusivity in human carotids with presence or absence of cardiovascular disease, body mass index (BMI), sex and age in a clinical setting.
Methods
In this single center case-control study we used DWI in combination with a 2D gradient in a 3 T MRI scanner to evaluate diffusivity parameters in carotid vessel walls of clinical patients with known cardiovascular disease (n = 17) and healthy controls (n = 21). We used a read-out segmented EPI (rs-EPI) sequence for DWI.
Results
A group comparison showed significantly decreased fractional anisotropy (FA) in patients older than 60 years (p < 0.001) and in patients with a BMI higher than 25 (p = 0.019). Patients with cardiovascular disease had higher values for mean diffusivity (p = 0.005) than patients without cardiovascular disease. A multiple linear regression analysis showed age and sex to be associated with FA.
Conclusion
Two-dimensional vessel wall DTI of human carotids is feasible for clinical research. Besides patient age, we identified Sex, BMI, or the presence of cardiovascular disease as relevant factors for carotid vessel wall diffusivity. Decreased FA values might indicate early-stage atherosclerosis and vascular ageing.
期刊介绍:
Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.