Literature DB >> 18360777

Allometric scaling in the coronary arterial system.

Huy Q Le1, Jerry T Wong, Sabee Molloi.   

Abstract

Biological variables such as basal metabolic rate scale with body mass through a power law relationship. The coronary arterial system also exhibits power law relations between morphological parameters such as total distal arterial length and lumen volume. The current study validated this power law and extended the relations to include the regional myocardial mass. The coronary arteries of 10 swine hearts were casted with a radio-opaque polymer solution and were imaged with cone-beam computed tomography. The CT images were analyzed by segmenting the vessels and myocardium. The vessels were tracked in 3D and the branch diameter, length, and lumen volume were computed. Regional myocardial mass were then computed for each branch. The perfusion beds of the three main coronary arterial trees were also colored differently to validate the measured mass and CT computed mass. The power laws for the morphological characteristics were then analyzed and the exponents were found to be 3/4 for the length-mass and length-volume relationships, and 1.0 for the volume-mass relationship. The CT computed myocardial mass (MCT) and the actual measured mass (MA) were related by MCT = 1.002 MA + 2.033 g. The relationship of the morphological parameters of the coronary arterial tree can potentially be used for quantification of diffuse coronary artery disease and anatomic area at risk.

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Year:  2008        PMID: 18360777     DOI: 10.1007/s10554-008-9303-7

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.316


  18 in total

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Journal:  Ann Biomed Eng       Date:  2005-08       Impact factor: 3.934

4.  Automated technique for angiographic determination of coronary blood flow and lumen volume.

Authors:  Jerry T Wong; Justin L Ducote; Tong Xu; Mohamed T Hassanein; Sabee Molloi
Journal:  Acad Radiol       Date:  2006-02       Impact factor: 3.173

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Journal:  Circulation       Date:  1975-06       Impact factor: 29.690

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Journal:  J Am Coll Cardiol       Date:  1990-02       Impact factor: 24.094

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Journal:  Circulation       Date:  1986-07       Impact factor: 29.690

9.  Measurement from arteriograms of regional myocardial bed size distal to any point in the coronary vascular tree for assessing anatomic area at risk.

Authors:  C Seiler; R L Kirkeeide; K L Gould
Journal:  J Am Coll Cardiol       Date:  1993-03-01       Impact factor: 24.094

10.  Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images.

Authors:  Huy Le; Jerry T Wong; Sabee Molloi
Journal:  Comput Med Imaging Graph       Date:  2008-07-01       Impact factor: 4.790

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  10 in total

1.  Quantification of absolute coronary flow reserve and relative fractional flow reserve in a swine animal model using angiographic image data.

Authors:  Zhang Zhang; Shigeho Takarada; Sabee Molloi
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-06-01       Impact factor: 4.733

2.  Assessment of coronary microcirculation in a swine animal model.

Authors:  Zhang Zhang; Shigeho Takarada; Sabee Molloi
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-05-27       Impact factor: 4.733

3.  Quantification of coronary microvascular resistance using angiographic images for volumetric blood flow measurement: in vivo validation.

Authors:  Zhang Zhang; Shigeho Takarada; Sabee Molloi
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-03-11       Impact factor: 4.733

4.  Estimation of coronary artery hyperemic blood flow based on arterial lumen volume using angiographic images.

Authors:  Sabee Molloi; David Chalyan; Huy Le; Jerry T Wong
Journal:  Int J Cardiovasc Imaging       Date:  2011-01-07       Impact factor: 2.357

5.  Diagnostic performance of virtual fractional flow reserve derived from routine coronary angiography using segmentation free reduced order (1-dimensional) flow modelling.

Authors:  Kevin Mohee; Jonathan P Mynard; Gauravsingh Dhunnoo; Rhodri Davies; Perumal Nithiarasu; Julian P Halcox; Daniel R Obaid
Journal:  JRSM Cardiovasc Dis       Date:  2020-11-05

6.  Functional Assessment of Coronary Artery Disease Using Whole-Heart Dynamic Computed Tomographic Perfusion.

Authors:  Logan Hubbard; Benjamin Ziemer; Jerry Lipinski; Bahman Sadeghi; Hanna Javan; Elliott M Groves; Shant Malkasian; Sabee Molloi
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7.  Allometric scaling patterns among the human coronary artery tree, myocardial mass, and coronary artery flow.

Authors:  Jin-Ho Choi; Eunsoo Kim; Hyung Yoon Kim; Seung-Hwa Lee; Sung Mok Kim
Journal:  Physiol Rep       Date:  2020-07

8.  Topologic and Hemodynamic Characteristics of the Human Coronary Arterial Circulation.

Authors:  Janina C V Schwarz; Monique G J T B van Lier; Jeroen P H M van den Wijngaard; Maria Siebes; Ed VanBavel
Journal:  Front Physiol       Date:  2020-01-23       Impact factor: 4.566

9.  Dynamic CT perfusion measurement in a cardiac phantom.

Authors:  Benjamin P Ziemer; Logan Hubbard; Jerry Lipinski; Sabee Molloi
Journal:  Int J Cardiovasc Imaging       Date:  2015-07-09       Impact factor: 2.357

10.  Quantification of vessel-specific coronary perfusion territories using minimum-cost path assignment and computed tomography angiography: Validation in a swine model.

Authors:  Shant Malkasian; Logan Hubbard; Brian Dertli; Jungnam Kwon; Sabee Molloi
Journal:  J Cardiovasc Comput Tomogr       Date:  2018-06-18
  10 in total

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