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Coronary Flow Reserve Assessment in Patients with Cad by Dynamic Single-Photon Emission Computed Tomography

https://doi.org/10.24835/1607-0763-2017-4-72-81

Abstract

Purpose: to assess the coronary flow reserve in patients with one,  two and multi-vessel coronary artery diseases by dynamic SPECT  using semiconductor (cadmium-zinctelluride)- based gamma camera.

Material and methods. This work included 42 patients with stable  coronary artery diseases. The first group consisted of 12 (28.6%)  patients with single and two-vessel coronary artery disease (STCAD)  (8 males and 4 females; mean age 61.5 ± 3.8 years) with  intermediate (50–70%) and significant (>70%) coronary artery  stenosis. Second group included 30 (71.4%) patients with multi- vessel coronary artery diseases (MVCAD) (22 males and 8 females;  mean age 60.1 ± 4.3 years) with a lesion >70% in at least 2 major epicardial vessels according to invasive coronary angiography. All patients underwent rest-stress dynamic SPECT as well as conventional myocardial perfusion imaging with 99mTc-MIBI as a radiopharmaceutical. All scintigraphic images were  acquired on the hybrid SPECT/CT unit (GE Discovery NM/CT 570C).  Patient with STCAD underwent invasive FFR detection.

Results. When comparing the results of MPI between the study  groups, there were no significant differences. ROC analysis showed  that the global MFR ≤ 1,42 allows to identify MVCAD with a  sensitivity and specificity 68% and 86,4%, for PSM, these values  are: 39.1% and 86.4% (AUC = 0.655, p < 0.05), respectively  (“gold” standard CAG). The sensitivity and specificity of the regional  MFR to identify the hemodynamic significance of coronary artery stenoses at a value of <1.33 was 100% (the “gold” standard of FFR). Most likely, high sensitivity and specificity in this case are associated with a small number of patients with true stenoses of FFR.

Conclusion. The performance of standard MPI in combination with  dynamic single-photon emission computed tomography allows to  increase the diagnostic significance of the scintigraphic approach in  the evaluation of myocardial microcirculation disorders in multivessel coronary artery disease. Dynamic SPECT is a promising  method of noninvasive assessment of hemodynamic significance of  coronary artery stenoses.

About the Authors

A. V. Mochula
Cardiology Research Institute of Tomsk National Research Medical Centre, Russian Academy of Sciences
Russian Federation

Competing Interests:

resident of the Department of Nuclear Medicine of Cardiology Research Institute of Tomsk NRMC, Tomsk

634050 Tomsk, Kievskaya str., 111A, Cardiology Research Institute, Tomsk NRMC. Phone: +7-923-409-65-25



K. V. Zavadovsky
Cardiology Research Institute of Tomsk National Research Medical Centre, Russian Academy of Sciences
Russian Federation

Competing Interests:

doct. of med. sci., the leading researcher of the Department of Nuclear Medicine of Cardiology Research Institute of Tomsk NRMC, Tomsk



S. L. Andreev
Cardiology Research Institute of Tomsk National Research Medical Centre, Russian Academy of Sciences
Russian Federation

Competing Interests:

Cand. of med. sci., junior of the Department of Cardiovascular Surgery of Cardiology Research Institute of Tomsk NRMC, Tomsk



A. L. Krylov
Cardiology Research Institute of Tomsk National Research Medical Centre, Russian Academy of Sciences
Russian Federation

Competing Interests:

doct. of med. sci., radiologist, the leading researcher of the Department of angiography of Cardiology Research Institute of Tomsk NRMC, Tomsk



Yu. B. Lishmanov
Cardiology Research Institute of Tomsk National Research Medical Centre, Russian Academy of Sciences The National Research Tomsk Polytechnic University
Russian Federation

Competing Interests:

doct. of med. sci., professor, the head of the scientific direction, Cardiology Research Institute of Tomsk NRMC, Tomsk



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Review

For citations:


Mochula A.V., Zavadovsky K.V., Andreev S.L., Krylov A.L., Lishmanov Yu.B. Coronary Flow Reserve Assessment in Patients with Cad by Dynamic Single-Photon Emission Computed Tomography. Medical Visualization. 2017;(4):72-81. (In Russ.) https://doi.org/10.24835/1607-0763-2017-4-72-81

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ISSN 1607-0763 (Print)
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