We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Semiautomatic Volumetry of Low Attenuation of Thoracic Aortic Plaques on Curved Planar Reformations Using MDCT Angiographic Data with 0.5 mm Collimation.
- Authors
Mizutani, Kenji; Torimoto, Izumi; Sekikawa, Zenjiro; Nishii, Toshiaki; Kawasaki, Takashi; Kasama, Keiichiro; Goto, Takahisa; Takebayashi, Shigeo
- Abstract
To evaluate the relationship of aortic low attenuation plaque volume (LAPV) on multidetector computed tomography (MDCT) with the abdominal aortic aneurysm (AAA), the coronary arterial disease (CAD, ≥50% stenosis), severe (≥90% stenosis) CAD, hypertension, and long-term (≥10 years) hypertension. Curved planar reformations (CPR) of three segments (the ascending, the arch, and the upper descending aorta) of the thoracic aorta were generated with attenuation-dependent color codes to measure LAPV with 0~29 HU and total noncalcified plaque volume (TNPV) with 0~150 HU in 95 patients. Correlation coefficients were employed to assess the impact of each LAPV and TNPV on AAA, CAD, severe CAD, hypertension, and long-term hypertension. Each Mean LAPV/cm and TNPV/cm was statistically greater in the aortic arch than the ascending (p<0.001 on each) or the proximal descending segment (p<0.001 on each). LAPV in the aortic arch has moderate correlations with AAA, severe CAD, and long-term hypertension (r=0.643, 0.639, 0.662, resp.). Plaque volumes in each aortic segment can be measured clinically and the increasing LAPV in the arch may be a significant factor associated with the development of severe atherosclerosis underlying AAA, severe CAD, and long-term hypertension.
- Subjects
ABDOMINAL aortic aneurysms; ATHEROSCLEROSIS; AUTOMATION; BLOOD vessels; COMPUTED tomography; CORONARY artery stenosis; CORONARY disease; STATISTICAL correlation; DIAGNOSTIC imaging; HYPERTENSION; COMPUTERS in medicine; SEVERITY of illness index; THORACIC aorta; MULTIDETECTOR computed tomography
- Publication
BioMed Research International, 2018, Vol 2018, p1
- ISSN
2314-6133
- Publication type
Article
- DOI
10.1155/2018/3563817