Literature DB >> 15217593

Regional volumetric coronary blood flow measurement by digital angiography: in vivo validation.

Sabee Molloi1, Yifang Zhou, Ghassan S Kassab.   

Abstract

RATIONALE AND
OBJECTIVES: There are well-known limitations to the use of visual estimation to assess the severity of coronary artery disease and luminal stenosis. This is especially true in the case of an intermediate coronary lesion (30%-70% diameter stenosis), where coronary arteriography is very limited in distinguishing ischemia-producing intermediate coronary lesions from non-ischemia-producing ones. For this reason, a functional measure of stenosis severity is desirable. The goal of this study is to validate a video densitometry technique for quantitative assessment of regional volumetric coronary blood flow.
MATERIALS AND METHODS: Coronary arteriography was performed in eight swine (body weight, 25-50 kg) after power injection of contrast material into the left main coronary artery. Phase-matched subtracted images were used to quantify regional coronary blood flow using a video densitometry technique. The in vivo regional flow measurements were validated using a transit time ultrasound flow probe.
RESULTS: In 44 measurements, the ultrasound (Q(US)) and video densitometry (Q(VD)) regional flow measurements were related by Q(VD) = 0.98 Q(US) + 0.11 mL/min (r = 0.98). The results of mean regional coronary blood flow measurements for repeated coronary arteriograms of the first (Q(VD1)) and second (Q(VD2)) measured flows were related by Q(VD1) = 1.04 Q(VD2) + 0.05 mL/min (r = 0.97).
CONCLUSIONS: A video densitometry technique for quantification of regional coronary blood flow was validated using a swine animal model. The results demonstrated the feasibility and potential utility of the video densitometry technique for accurate measurement of regional coronary blood flow, in vivo. This study provides an angiographic method that can potentially be used to evaluate intermediate coronary lesions during routine coronary arteriography.

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Year:  2004        PMID: 15217593     DOI: 10.1016/j.acra.2004.04.002

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  16 in total

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2.  Vessel masking improves densitometric myocardial perfusion assessment.

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3.  Reduced order models for transstenotic pressure drop in the coronary arteries.

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4.  CT-based diagnosis of diffuse coronary artery disease on the basis of scaling power laws.

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5.  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
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6.  Quantification of fractional flow reserve based on angiographic image data.

Authors:  Jerry T Wong; Huy Le; William M Suh; David A Chalyan; Toufan Mehraien; Morton J Kern; Ghassan S Kassab; Sabee Molloi
Journal:  Int J Cardiovasc Imaging       Date:  2011-01-07       Impact factor: 2.357

7.  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

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

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9.  Low-Radiation-Dose Stress Myocardial Perfusion Measurement Using First-Pass Analysis Dynamic Computed Tomography: A Preliminary Investigation in a Swine Model.

Authors:  Logan Hubbard; Shant Malkasian; Yixiao Zhao; Pablo Abbona; Jungnam Kwon; Sabee Molloi
Journal:  Invest Radiol       Date:  2019-12       Impact factor: 6.016

10.  Comprehensive Assessment of Coronary Artery Disease by Using First-Pass Analysis Dynamic CT Perfusion: Validation in a Swine Model.

Authors:  Logan Hubbard; Jerry Lipinski; Benjamin Ziemer; Shant Malkasian; Bahman Sadeghi; Hanna Javan; Elliott M Groves; Brian Dertli; Sabee Molloi
Journal:  Radiology       Date:  2017-10-23       Impact factor: 11.105

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