Computed Tomography-Based Diagnosis of Diffuse Compensatory Enlargement of Coronary Arteries using Scaling Power Laws
Document Type
Article
Publication Date
4-6-2013
Abstract
Glagov's positive remodelling in the early stages of coronary atherosclerosis often results in plaque rupture and acute events. Because positive remodelling is generally diffused along the epicardial coronary arterial tree, it is difficult to diagnose non-invasively. Hence, the objective of the study is to assess the use of scaling power law for the diagnosis of positive remodelling of coronary arteries based on computed tomography (CT) images. Epicardial coronary arterial trees were reconstructed from CT scans of six Ossabaw pigs fed on a high-fat, high-cholesterol, atherogenic diet for eight months as well as the same number of body-weight-matched farm pigs fed on a lean chow (101.9±16.1 versus 91.5±13.1 kg). The high-fat diet Ossabaw pig model showed diffuse positive remodelling of epicardial coronary arteries. Good fit of measured coronary data to the length–volume scaling power law ( where Lc and Vc are crown length and volume) were found for both the high-fat and control groups (R2 = 0.95±0.04 and 0.99±0.01, respectively). The coefficient, KLV, decreased significantly in the high-fat diet group when compared with the control (14.6±2.6 versus 40.9±5.6). The flow–length scaling power law, however, was nearly unaffected by the positive remodelling. The length–volume and flow–length scaling power laws were preserved in epicardial coronary arterial trees after positive remodelling. KLV < 18 in the length–volume scaling relation is a good index of positive remodelling of coronary arteries. These findings provide a clinical rationale for simple, accurate and non-invasive diagnosis of positive remodelling of coronary arteries, using conventional CT scans.
Repository Citation
Huo, Y.,
Choy, J. S.,
Wischgoll, T.,
Luo, T.,
Teague, S. D.,
Bhatt, D. L.,
& Kassab, G. S.
(2013). Computed Tomography-Based Diagnosis of Diffuse Compensatory Enlargement of Coronary Arteries using Scaling Power Laws. Interface, 10 (81).
https://corescholar.libraries.wright.edu/cse/308
DOI
10.1098/rsif.2012.1015