Literature DB >> 21398596

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

Zhang Zhang1, Shigeho Takarada, Sabee Molloi.   

Abstract

Structural coronary microcirculation abnormalities are important prognostic determinants in clinical settings. However, an assessment of microvascular resistance (MR) requires a velocity wire. A first-pass distribution analysis technique to measure volumetric blood flow has been previously validated. The aim of this study was the in vivo validation of the MR measurement technique using first-pass distribution analysis. Twelve anesthetized swine were instrumented with a transit-time ultrasound flow probe on the proximal segment of the left anterior descending coronary artery (LAD). Microspheres were injected into the LAD to create a model of microvascular dysfunction. Adenosine (400 μg·kg(-1)·min(-1)) was used to produce maximum hyperemia. A region of interest in the LAD arterial bed was drawn to generate time-density curves using angiographic images. Volumetric blood flow measurements (Q(a)) were made using a time-density curve and the assumption that blood was momentarily replaced with contrast agent during the injection. Blood flow from the flow probe (Q(p)), coronary pressure (P(a)), and right atrium pressure (P(v)) were continuously recorded. Flow probe-based normalized MR (NMR(p)) and angiography-based normalized MR (NMR(a)) were calculated using Q(p) and Q(a), respectively. In 258 measurements, Q(a) showed a strong correlation with the gold standard Q(p) (Q(a) = 0.90 Q(p) + 6.6 ml/min, r(2) = 0.91, P < 0.0001). NMR(a) correlated linearly with NMR(p) (NMR(a) = 0.90 NMR(p) + 0.02 mmHg·ml(-1)·min(-1), r(2) = 0.91, P < 0.0001). Additionally, the Bland-Altman analysis showed a close agreement between NMR(a) and NMR(p). In conclusion, a technique based on angiographic image data for quantifying NMR was validated using a swine model. This study provides a method to measure NMR without using a velocity wire, which can potentially be used to evaluate microvascular conditions during coronary arteriography.

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Year:  2011        PMID: 21398596      PMCID: PMC3119091          DOI: 10.1152/ajpheart.01123.2010

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  61 in total

1.  Mean transit time for videodensitometric assessment of myocardial perfusion and the concept of maximal flow ratio: a validation study in the intact dog and a pilot study in man.

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Journal:  Circulation       Date:  1990-04       Impact factor: 29.690

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Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

5.  Effect of intraaortic balloon counterpulsation on regional myocardial blood flow and oxygen consumption in the presence of coronary artery stenosis: observations in an awake animal model.

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Journal:  Am J Cardiol       Date:  1982-10       Impact factor: 2.778

6.  Coronary microcirculatory vasoconstriction during ischemia in patients with unstable angina.

Authors:  M Marzilli; G Sambuceti; S Fedele; A L'Abbate
Journal:  J Am Coll Cardiol       Date:  2000-02       Impact factor: 24.094

7.  Comparison of Telazol, Telazol-ketamine, Telazol-xylazine, and Telazol-ketamine-xylazine as chemical restraint and anesthetic induction combination in swine.

Authors:  J C Ko; B L Williams; V L Smith; C J McGrath; J D Jacobson
Journal:  Lab Anim Sci       Date:  1993-10

8.  Changes in myocardial blood flow during development of and recovery from tachycardia-induced cardiomyopathy.

Authors:  F G Spinale; R Tanaka; F A Crawford; M R Zile
Journal:  Circulation       Date:  1992-02       Impact factor: 29.690

9.  Coronary blood flow measurement using an angiographic first pass distribution technique: a feasibility study.

Authors:  N J Hangiandreou; J D Folts; W W Peppler; C A Mistretta
Journal:  Med Phys       Date:  1991 Sep-Oct       Impact factor: 4.071

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  8 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

Review 3.  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

4.  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

Review 5.  Data science of stroke imaging and enlightenment of the penumbra.

Authors:  Fabien Scalzo; May Nour; David S Liebeskind
Journal:  Front Neurol       Date:  2015-03-05       Impact factor: 4.003

6.  Evaluation of hepatic tumor portal perfusion using mesenteric angiography: A pilot study in 5 dogs.

Authors:  Kelsey Goode; Chick Weisse; Allyson Berent; Ken Lamb
Journal:  J Vet Intern Med       Date:  2018-12-18       Impact factor: 3.333

7.  Determination of culprit coronary artery branches using hemodynamic indices from angiographic images.

Authors:  Zhang Zhang; Jun Chen; Shigeho Takarada; Sabee Molloi
Journal:  Int J Cardiovasc Imaging       Date:  2014-10-07       Impact factor: 2.316

8.  The Relationship between Microcirculatory Resistance and Fractional Flow Reserve in Patients with Acute Myocardial Infarction.

Authors:  Jun-Hyok Oh; Changhoon Kim; Jinhee Ahn; Jin Hee Kim; Mi Jin Yang; Hye Won Lee; Jung Hyun Choi; Han Cheol Lee; Kwang Soo Cha; Taek Jong Hong
Journal:  Korean Circ J       Date:  2013-08-31       Impact factor: 3.243

  8 in total

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