Literature DB >> 11696477

Quantification of coronary artery lumen volume by digital angiography: in vivo validation.

S Molloi1, G S Kassab, Y Zhou.   

Abstract

BACKGROUND: Coronary artery lumen volume may potentially have several advantages over the commonly used variables, such as percent stenosis or minimal lumen diameter, in the assessment of coronary artery disease. The goal of this study is to validate a quantitative assessment of lumen volume using a video densitometry technique. METHODS AND
RESULTS: Coronary arteriography was performed in 9 swine (body weight 20 to 55 kg) after power injection of contrast material (2 mL/s for 3 seconds) into the left main coronary artery. Phase-matched subtracted images were used to quantify regional lumen volume by a video densitometry technique. The in vivo volume measurements were validated by a polymer cast of the coronary arterial tree made at physiological pressure. The measured cast volume (V(C)) and video densitometric regional lumen volume (V(VD)) were related by V(VD)=1.06 V(C)-0.01 mL (r=0.99). The root mean square and systematic errors for these measurements were 17% and -3%, respectively.
CONCLUSIONS: A video densitometry technique for quantification of coronary lumen volume was validated both in vitro and in vivo in a swine animal model. The present results demonstrated the feasibility and potential utility of the video densitometry technique for accurate measurement of regional lumen volume in vivo. This study contributes to the understanding of the angiographic methods used for the assessment of coronary artery disease and indicates that this technique can potentially be used for quantification of diffuse coronary artery disease during routine coronary arteriography.

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Year:  2001        PMID: 11696477     DOI: 10.1161/hc4401.098435

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  16 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.  A validated predictive model of coronary fractional flow reserve.

Authors:  Yunlong Huo; Mark Svendsen; Jenny Susana Choy; Z-D Zhang; Ghassan S Kassab
Journal:  J R Soc Interface       Date:  2011-11-23       Impact factor: 4.118

3.  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

4.  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

5.  Taekling the challenges of interpretation of conventional coronary angiography using multidetector CT coronary angiography.

Authors:  P M A van Ooijen; J Dorgelo; F Zijlstra; M Oudkerk
Journal:  Neth Heart J       Date:  2004-05       Impact factor: 2.380

6.  LOCAL ORTHOGONAL CUTTING METHOD FOR COMPUTING MEDIAL CURVES AND ITS BIOMEDICAL APPLICATIONS.

Authors:  Xiangmin Jiao; Daniel R Einstein; Vladimir Dyedov
Journal:  SIAM J Sci Comput       Date:  2010-03-01       Impact factor: 2.373

7.  An angiographic technique for coronary fractional flow reserve measurement: in vivo validation.

Authors:  Shigeho Takarada; Zhang Zhang; Sabee Molloi
Journal:  Int J Cardiovasc Imaging       Date:  2012-08-31       Impact factor: 2.357

8.  Elevated oxidative stress and endothelial dysfunction in right coronary artery of right ventricular hypertrophy.

Authors:  Xiao Lu; Charles Q Dang; Xiaomei Guo; Sabee Molloi; Cynthia D Wassall; Marvin D Kemple; Ghassan S Kassab
Journal:  J Appl Physiol (1985)       Date:  2011-03-17

9.  Assessment of vasoreactivity using videodensitometry coronary angiography.

Authors:  Sabee Molloi; Gholam R Berenji; Trien T Dang; Ghassan Kassab
Journal:  Int J Cardiovasc Imaging       Date:  2003-08       Impact factor: 2.357

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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