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Diagnostic capabilities of magnetic resonance imaging in assessing the myocardial perfusion in cases of ischemic disorders

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1. Title Title of document Diagnostic capabilities of magnetic resonance imaging in assessing the myocardial perfusion in cases of ischemic disorders
2. Creator Author's name, affiliation, country Elina R. Pogrebnichenko; Children’s city polyclinic No. 1; Russian Federation
2. Creator Author's name, affiliation, country Adelina S. Mameshova; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Zainab A. Akhmedbekova; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Patimat T. Tedurova; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Mukhammad A. Kamilov; City Polyclinic No. 10; Russian Federation
2. Creator Author's name, affiliation, country Eldar A. Alibekov; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Kazimagomed M. Gazimagomedov; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Chopalav S. Saipullaev; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Nikolai Yu. Popov; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Akhmed L. Abdulaev; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Khava S. Nasueva; Kadyrov Chechen State University; Russian Federation
2. Creator Author's name, affiliation, country Madina M. Bakarova; Astrakhan State Medical University; Russian Federation
2. Creator Author's name, affiliation, country Zalina V. Erkenova; Astrakhan State Medical University; Russian Federation
3. Subject Discipline(s)
3. Subject Keyword(s) magnetic resonance imaging; MRI of the heart; myocardial perfusion; coronary artery disease; CMD; coronary artery disease; CAD; prediction of cardiovascular diseases
4. Description Abstract

Magnetic resonance imaging (MRI) of the heart has proven itself as an important tool for the evaluation of myocardial perfusion and for the diagnostics of myocardial ischemia. Due to its high spatial resolution and absence of X-ray radiation, MRI of the heart allows for precise diagnosing subendocardial ischemia without any adverse effects, which makes it a valuable method for detecting the ischemic heart disease. Recent advances in cardiac MRI and in post-processing have allowed for moving from qualitative to quantitative evaluation of the stress perfusion cardiac MRI, which has significantly increased the objectiveness and the precision of diagnostics. Quantitative evaluation of myocardial perfusion using the MRI provides a possibility of objective evaluation of myocardial ischemia, which can contribute to improved detection of coronary microvascular dysfunctions. The integration of quantitative perfusion MRI with other methods, such as the kinematic MRI, the delayed increase of gadolinium levels and the Т1/Т2-mapping, allows for deeper understanding the pathophysiology and improving the prediction of outcomes for various cardio-vascular diseases. The review addresses modern research works on cardiac MRI with regard to diagnostics and predicting of ischemic heart disease, coronary microvascular dysfunctions or non-ischemic cardiomyopathy, focusing on the quantitative approach in the evaluation of myocardial perfusion and its potential use in clinical practice.

5. Publisher Organizing agency, location Eco-Vector
6. Contributor Sponsor(s)
7. Date (DD-MM-YYYY) 30.04.2025
8. Type Status & genre Peer-reviewed Article
8. Type Type Research Article
9. Format File format
10. Identifier Uniform Resource Identifier https://bakhtiniada.ru/clinpractice/article/view/295972
10. Identifier Digital Object Identifier (DOI) 10.17816/clinpract648672
10. Identifier Digital Object Identifier (DOI) (PDF (Rus)) 10.17816/clinpract648672-192855
10. Identifier Digital Object Identifier (DOI) (PDF (Eng)) 10.17816/clinpract648672-194937
11. Source Title; vol., no. (year) Journal of Clinical Practice; Vol 16, No 1 (2025)
12. Language English=en en
13. Relation Supp. Files
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
15. Rights Copyright and permissions Copyright (c) 2025 Eco-Vector
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