Literature DB >> 27290616

Estimation of the flow resistances exerted in coronary arteries using a vessel length-based method.

Kyung Eun Lee1, Soon-Sung Kwon1, Yoon Cheol Ji1, Eun-Seok Shin2, Jin-Ho Choi3, Sung Joon Kim4, Eun Bo Shim5.   

Abstract

Flow resistances exerted in the coronary arteries are the key parameters for the image-based computer simulation of coronary hemodynamics. The resistances depend on the anatomical characteristics of the coronary system. A simple and reliable estimation of the resistances is a compulsory procedure to compute the fractional flow reserve (FFR) of stenosed coronary arteries, an important clinical index of coronary artery disease. The cardiac muscle volume reconstructed from computed tomography (CT) images has been used to assess the resistance of the feeding coronary artery (muscle volume-based method). In this study, we estimate the flow resistances exerted in coronary arteries by using a novel method. Based on a physiological observation that longer coronary arteries have more daughter branches feeding a larger mass of cardiac muscle, the method measures the vessel lengths from coronary angiogram or CT images (vessel length-based method) and predicts the coronary flow resistances. The underlying equations are derived from the physiological relation among flow rate, resistance, and vessel length. To validate the present estimation method, we calculate the coronary flow division over coronary major arteries for 50 patients using the vessel length-based method as well as the muscle volume-based one. These results are compared with the direct measurements in a clinical study. Further proving the usefulness of the present method, we compute the coronary FFR from the images of optical coherence tomography.

Entities:  

Keywords:  Coronary fractional flow reserve; Estimation of coronary resistances; Vessel length-based method

Mesh:

Year:  2016        PMID: 27290616     DOI: 10.1007/s00424-016-1831-8

Source DB:  PubMed          Journal:  Pflugers Arch        ISSN: 0031-6768            Impact factor:   3.657


  16 in total

1.  A full 3-D reconstruction of the entire porcine coronary vasculature.

Authors:  Benjamin Kaimovitz; Yoram Lanir; Ghassan S Kassab
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-07-09       Impact factor: 4.733

2.  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

3.  Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery.

Authors:  Sethuraman Sankaran; Mahdi Esmaily Moghadam; Andrew M Kahn; Elaine E Tseng; Julius M Guccione; Alison L Marsden
Journal:  Ann Biomed Eng       Date:  2012-04-27       Impact factor: 3.934

4.  A novel patient-specific model to compute coronary fractional flow reserve.

Authors:  Soon-Sung Kwon; Eui-Chul Chung; Jin-Seo Park; Gook-Tae Kim; Jun-Woo Kim; Keun-Hong Kim; Eun-Seok Shin; Eun Bo Shim
Journal:  Prog Biophys Mol Biol       Date:  2014-09-23       Impact factor: 3.667

5.  Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study.

Authors:  Bon-Kwon Koo; Andrejs Erglis; Joon-Hyung Doh; David V Daniels; Sanda Jegere; Hyo-Soo Kim; Allison Dunning; Tony DeFrance; Alexandra Lansky; Jonathan Leipsic; James K Min
Journal:  J Am Coll Cardiol       Date:  2011-11-01       Impact factor: 24.094

6.  Normal human right and left ventricular mass, systolic function, and gender differences by cine magnetic resonance imaging.

Authors:  C H Lorenz; E S Walker; V L Morgan; S S Klein; T P Graham
Journal:  J Cardiovasc Magn Reson       Date:  1999       Impact factor: 5.364

7.  Computational geometry for patient-specific reconstruction and meshing of blood vessels from MR and CT angiography.

Authors:  Luca Antiga; Bogdan Ene-Iordache; Andrea Remuzzi
Journal:  IEEE Trans Med Imaging       Date:  2003-05       Impact factor: 10.048

8.  Comparison of diagnostic value of a novel noninvasive coronary computed tomography angiography method versus standard coronary angiography for assessing fractional flow reserve.

Authors:  Matthias Renker; U Joseph Schoepf; Rui Wang; Felix G Meinel; Jeremy D Rier; Richard R Bayer; Helge Möllmann; Christian W Hamm; Daniel H Steinberg; Stefan Baumann
Journal:  Am J Cardiol       Date:  2014-08-12       Impact factor: 2.778

9.  Noninvasive fractional flow reserve derived from computed tomography angiography for coronary lesions of intermediate stenosis severity: results from the DeFACTO study.

Authors:  Ryo Nakazato; Hyung-Bok Park; Daniel S Berman; Heidi Gransar; Bon-Kwon Koo; Andrejs Erglis; Fay Y Lin; Allison M Dunning; Matthew J Budoff; Jennifer Malpeso; Jonathon Leipsic; James K Min
Journal:  Circ Cardiovasc Imaging       Date:  2013-09-30       Impact factor: 7.792

10.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps).

Authors:  Bjarne L Nørgaard; Jonathon Leipsic; Sara Gaur; Sujith Seneviratne; Brian S Ko; Hiroshi Ito; Jesper M Jensen; Laura Mauri; Bernard De Bruyne; Hiram Bezerra; Kazuhiro Osawa; Mohamed Marwan; Christoph Naber; Andrejs Erglis; Seung-Jung Park; Evald H Christiansen; Anne Kaltoft; Jens F Lassen; Hans Erik Bøtker; Stephan Achenbach
Journal:  J Am Coll Cardiol       Date:  2014-01-30       Impact factor: 24.094

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  4 in total

Review 1.  Physiome approach for the analysis of vascular flow reserve in the heart and brain.

Authors:  Kyung Eun Lee; Ah-Jin Ryu; Eun-Seok Shin; Eun Bo Shim
Journal:  Pflugers Arch       Date:  2017-03-28       Impact factor: 3.657

2.  A vessel length-based method to compute coronary fractional flow reserve from optical coherence tomography images.

Authors:  Kyung Eun Lee; Seo Ho Lee; Eun-Seok Shin; Eun Bo Shim
Journal:  Biomed Eng Online       Date:  2017-06-26       Impact factor: 2.819

3.  Prediction of Plaque Progression in Coronary Arteries Based on a Novel Hemodynamic Index Calculated From Virtual Stenosis Method.

Authors:  Kyung Eun Lee; Sung Woong Shin; Gook Tae Kim; Jin Ho Choi; Eun Bo Shim
Journal:  Front Physiol       Date:  2019-05-09       Impact factor: 4.566

4.  Validation of the diagnostic performance of 'HeartMedi V.1.0', a novel CT-derived fractional flow reserve measurement, for patients with coronary artery disease: a study protocol.

Authors:  Soo-Hyun Kim; Si-Hyuck Kang; Woo-Young Chung; Chang-Hwan Yoon; Sang-Don Park; Chang-Wook Nam; Ki-Hwan Kwon; Joon-Hyung Doh; Young-Sup Byun; Jang-Whan Bae; Tae-Jin Youn; In-Ho Chae
Journal:  BMJ Open       Date:  2020-07-20       Impact factor: 2.692

  4 in total

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