Literature DB >> 11382734

Detection of coronary artery stenosis with power Doppler imaging.

F S Villanueva1, E W Gertz, M Csikari, G Pulido, D Fisher, J Sklenar.   

Abstract

BACKGROUND: Power Doppler is a new imaging method for detecting microbubbles during myocardial contrast echocardiography (MCE) based on the registration of variance resulting from ultrasound-induced nonlinear bubble behavior. We tested the hypothesis that power Doppler imaging can be used to quantify coronary stenoses. METHODS AND
RESULTS: Three left anterior descending (LAD) coronary stenoses of varying severity were created in each of 9 open-chest dogs. MCE was performed by continuous intravenous infusion of a nitrogen-filled bilayer shell microbubble, PB127, during triggered power Doppler imaging at incremental pulsing intervals. MCE and radiolabeled microsphere measurements were made at baseline and during each stenosis, with and without adenosine stress. Videointensities in the LAD and left circumflex (LCx) beds were plotted against pulsing interval and fit to a previously described exponential function modeling microbubble destruction and replenishment, which was used to derive parameters of bubble velocity (beta) and peak plateau videointensity (A). Contrast defects matching the location of radiolabeled microsphere hypoperfusion were clearly seen, without need for image processing. The product of beta and A was linearly related to LAD/LCx flow (r=0.90, P<0.0001) and inversely related to stenosis gradient (r=-0.70, P<0.0001). Endocardial/epicardial flow ratios were visualized and quantifiable.
CONCLUSIONS: As with B-mode harmonics, a model of microbubble destruction/replenishment can be applied to power Doppler data as a means to detect a broad range of stenoses. Image clarity and the lack of attenuation or requirement for background subtraction are additional advantages of this imaging approach. Power Doppler MCE imaging holds promise for the detection of coronary artery disease.

Entities:  

Mesh:

Year:  2001        PMID: 11382734     DOI: 10.1161/01.cir.103.21.2624

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


  13 in total

Review 1.  Imaging myocardial metabolic remodeling.

Authors:  Robert J Gropler; Rob S B Beanlands; Vasken Dilsizian; E Douglas Lewandowski; Flordeliza S Villanueva; Maria Cecilia Ziadi
Journal:  J Nucl Med       Date:  2010-05-01       Impact factor: 10.057

2.  Assessment of myocardial perfusion abnormalities by intravenous myocardial contrast echocardiography with harmonic power Doppler imaging: comparison with positron emission tomography.

Authors:  T Muro; T Hozumi; H Watanabe; H Yamagishi; M Yoshiyama; K Takeuchi; J Yoshikawa
Journal:  Heart       Date:  2003-02       Impact factor: 5.994

3.  A comparison of video and digital data in the assessment of myocardial perfusion abnormalities by myocardial contrast echocardiography.

Authors:  Hisashi Masugata; Kazushi Yukiiri; Yuichiro Takagi; Koji Ohmori; Katsufumi Mizushige; Masakazu Kohno
Journal:  Int J Cardiovasc Imaging       Date:  2004-06       Impact factor: 2.357

4.  Novel quantitative assessment of myocardial perfusion by harmonic power Doppler imaging during myocardial contrast echocardiography.

Authors:  S Yamada; K Komuro; T Mikami; N Kudo; H Onozuka; K Goto; S Fujii; K Yamamoto; A Kitabatake
Journal:  Heart       Date:  2005-02       Impact factor: 5.994

Review 5.  Ultrasound molecular imaging with targeted microbubble contrast agents.

Authors:  Alexander L Klibanov
Journal:  J Nucl Cardiol       Date:  2007 Nov-Dec       Impact factor: 5.952

6.  Sonoreperfusion therapy for microvascular obstruction: A step toward clinical translation.

Authors:  Filip Istvanic; Gary Z Yu; Francois T H Yu; Jeff Powers; Xucai Chen; John J Pacella
Journal:  Ultrasound Med Biol       Date:  2020-01-07       Impact factor: 2.998

7.  Changes in transmural distribution of myocardial perfusion assessed by quantitative intravenous myocardial contrast echocardiography in humans.

Authors:  S Fukuda; T Muro; T Hozumi; H Watanabe; K Shimada; M Yoshiyama; K Takeuchi; J Yoshikawa
Journal:  Heart       Date:  2002-10       Impact factor: 5.994

Review 8.  Molecular imaging of cardiovascular disease using ultrasound.

Authors:  Flordeliza S Villanueva
Journal:  J Nucl Cardiol       Date:  2008 Jul-Aug       Impact factor: 5.952

9.  Ultrasound Detection of Myocardial Ischemic Memory Using an E-Selectin Targeting Peptide Amenable to Human Application.

Authors:  Xiaoping Leng; Jianjun Wang; Andrew Carson; Xucai Chen; Huili Fu; Susanne Ottoboni; William R Wagner; Flordeliza S Villanueva
Journal:  Mol Imaging       Date:  2014-04-01       Impact factor: 4.488

Review 10.  Ultrasound molecular imaging of cardiovascular disease.

Authors:  Flordeliza S Villanueva; William R Wagner
Journal:  Nat Clin Pract Cardiovasc Med       Date:  2008-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.