Literature DB >> 23365197

Computed tomography-based diagnosis of diffuse compensatory enlargement of coronary arteries using scaling power laws.

Yunlong Huo1, Jenny Susana Choy, Thomas Wischgoll, Tong Luo, Shawn D Teague, Deepak L Bhatt, Ghassan S Kassab.   

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 L(c) and V(c) are crown length and volume) were found for both the high-fat and control groups (R(2) = 0.95±0.04 and 0.99±0.01, respectively). The coefficient, K(LV), 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. K(LV) < 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.

Entities:  

Mesh:

Year:  2013        PMID: 23365197      PMCID: PMC3627114          DOI: 10.1098/rsif.2012.1015

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  23 in total

Review 1.  Current diagnosis and management of left main coronary disease.

Authors:  Joanna Chikwe; Michael Kim; Andrew B Goldstone; Arzhang Fallahi; Thanos Athanasiou
Journal:  Eur J Cardiothorac Surg       Date:  2010-10       Impact factor: 4.191

2.  Pulsatile blood flow in the entire coronary arterial tree: theory and experiment.

Authors:  Yunlong Huo; Ghassan S Kassab
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-04-14       Impact factor: 4.733

3.  Validation of image-based method for extraction of coronary morphometry.

Authors:  Thomas Wischgoll; Jenny Susana Choy; Erik L Ritman; Ghassan S Kassab
Journal:  Ann Biomed Eng       Date:  2008-01-29       Impact factor: 3.934

4.  Heart disease and stroke statistics--2010 update: a report from the American Heart Association.

Authors:  Donald Lloyd-Jones; Robert J Adams; Todd M Brown; Mercedes Carnethon; Shifan Dai; Giovanni De Simone; T Bruce Ferguson; Earl Ford; Karen Furie; Cathleen Gillespie; Alan Go; Kurt Greenlund; Nancy Haase; Susan Hailpern; P Michael Ho; Virginia Howard; Brett Kissela; Steven Kittner; Daniel Lackland; Lynda Lisabeth; Ariane Marelli; Mary M McDermott; James Meigs; Dariush Mozaffarian; Michael Mussolino; Graham Nichol; Véronique L Roger; Wayne Rosamond; Ralph Sacco; Paul Sorlie; Véronique L Roger; Randall Stafford; Thomas Thom; Sylvia Wasserthiel-Smoller; Nathan D Wong; Judith Wylie-Rosett
Journal:  Circulation       Date:  2009-12-17       Impact factor: 29.690

5.  Extraction of morphometry and branching angles of porcine coronary arterial tree from CT images.

Authors:  Thomas Wischgoll; Jenny S Choy; Ghassan S Kassab
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-09-11       Impact factor: 4.733

Review 6.  Does coronary flow trump coronary anatomy?

Authors:  K Lance Gould
Journal:  JACC Cardiovasc Imaging       Date:  2009-08

7.  Intraspecific scaling laws of vascular trees.

Authors:  Yunlong Huo; Ghassan S Kassab
Journal:  J R Soc Interface       Date:  2011-06-15       Impact factor: 4.118

8.  A prospective natural-history study of coronary atherosclerosis.

Authors:  Gregg W Stone; Akiko Maehara; Alexandra J Lansky; Bernard de Bruyne; Ecaterina Cristea; Gary S Mintz; Roxana Mehran; John McPherson; Naim Farhat; Steven P Marso; Helen Parise; Barry Templin; Roseann White; Zhen Zhang; Patrick W Serruys
Journal:  N Engl J Med       Date:  2011-01-20       Impact factor: 91.245

9.  Effect of different obesogenic diets on pancreatic histology in Ossabaw miniature swine.

Authors:  Allison M Fullenkamp; Lauren N Bell; Reiesha D Robbins; Lydia Lee; Romil Saxena; Mouhamad Alloosh; James E Klaunig; Raghavendra G Mirmira; Michael Sturek; Naga Chalasani
Journal:  Pancreas       Date:  2011-04       Impact factor: 3.327

10.  Positive remodeling of the coronary arteries detected by magnetic resonance imaging in an asymptomatic population: MESA (Multi-Ethnic Study of Atherosclerosis).

Authors:  Cuilian Miao; Shaoguang Chen; Robson Macedo; Shenghan Lai; Kiang Liu; Debiao Li; Bruce A Wasserman; Jens Vogel-Claussen; Jens Vogel-Clausen; João A C Lima; David A Bluemke
Journal:  J Am Coll Cardiol       Date:  2009-05-05       Impact factor: 24.094

View more
  2 in total

1.  Growth, ageing and scaling laws of coronary arterial trees.

Authors:  Xi Chen; Pei Niu; Xiaolong Niu; Wenzeng Shen; Fei Duan; Liang Ding; Xiliang Wei; Yanjun Gong; Yong Huo; Ghassan S Kassab; Wenchang Tan; Yunlong Huo
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

2.  Radiomics-based differentiation of lung disease models generated by polluted air based on X-ray computed tomography data.

Authors:  Krisztián Szigeti; Tibor Szabó; Csaba Korom; Ilona Czibak; Ildikó Horváth; Dániel S Veres; Zoltán Gyöngyi; Kinga Karlinger; Ralf Bergmann; Márta Pócsik; Ferenc Budán; Domokos Máthé
Journal:  BMC Med Imaging       Date:  2016-02-11       Impact factor: 1.930

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.