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1Academic Journal
Πηγή: Кардиология в Беларуси. :813-822
Θεματικοί όροι: daily monitoring of the electrocardiogram, дислипидемия, dyslipidemia, суточное мониторирование электрокардиограммы, брахиоцефальных артерий, 3. Good health, computed tomography of the heart, коронарный кальциевый индекс, 03 medical and health sciences, 0302 clinical medicine, ultrasound of the heart and brachiocephalic arteries, атеросклероз, компьютерная томография сердца, ультразвуковое исследование сердца, лица пожилого возраста, atherosclerosis, the elderly, coronary calcium index
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2Academic Journal
Συγγραφείς: M. V. Lisitskaya, E. A. Mershina, O. M. Larina, M. L. Plotnikova, O. S. Shlyapkina, М. В. Лисицкая, Е. А. Мершина, О. М. Ларина, М. Л. Плотникова, О. С. Шляпкина
Συνεισφορές: Работа выполнена в рамках государственного задания МГУ (номер ЦИТИС 121061800148-2)
Πηγή: Medical Visualization; Том 26, № 1 (2022); 70-77 ; Медицинская визуализация; Том 26, № 1 (2022); 70-77 ; 2408-9516 ; 1607-0763
Θεματικοί όροι: атеросклероз коронарных артерий, myocardial ischemia, myocardial perfusion, stress-myocardial perfusion, dual energy computed tomography, fractional flow reserve, atherosclerosis, coronary artery disease, КТ-коронарная ангиография, ишемия миокарда, перфузия миокарда, стресс-перфузия миокарда, двухэнергетическая компьютерная томография сердца, фракционный резерв кровотока, коронарокальциноз
Περιγραφή αρχείου: application/pdf
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Возможности компьютерной томографии сердца в стратификации риска и определении оптимальной стратегии первичной профилактики сердечнососудистых осложнений атеросклероза. Кардиология. 2019; 59 (6): 70–80. http://doi.org/10.18087/cardio.2019.6.n685. Ashikhmin Ya.I., Sinitsyn V.E., Plieva N.V., Shchekochikhin D.Yu., Kopylov F.Yu. Possibilities of Computed Tomography of the Heart in Risk Stratification and Determination of Optimal Strategy of Primary Prevention of Cardiovascular Complications of Atherosclerosis. Kardiologiia. 2019; 59 (6):70–80. (In Russian); Knuuti J., Wijns W., Saraste A. et al.; ESC Scientific Document Group. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur. Heart J. 2020; 41 (3): 407–477. http://doi.org/10.1093/eurheartj/ehz425; Российское кардиологическое общество. Стабильная ишемическая болезнь сердца: Методические рекомендации. 2020, 114 с. https://scardio.ru/content/ Guidelines/2020/Clinic_rekom_IBS.pdf Russian Society of Cardiology. Russian Society of Cardiology. Stable ischemic heart disease. Methodological recommendations. 2020, 114 p. https://scardio.ru/content/Guidelines/2020/Clinic_rekom_IBS.pdf; Knuuti J., Ballo H., Juarez-Orozco L.E. et al. The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina: a meta-analysis focused on post-test disease probability. Eur. Heart J. 2018; 39 (35): 3322–3330. http://doi.org/10.1093/eurheartj/ehy267; Mushtaq S., Conte E., Pontone G. et al. State-of-the-artmyocardial perfusion stress testing: Static CT perfusion. J. Cardiovasc. Comput. Tomogr. 2020; 14 (4): 294–302. http://doi.org/10.1016/j.jcct.2019.09.002; Pelgrim G.J., Dorrius M., Xie X. et al. The dream of a onestop-shop: Meta-analysis on myocardial perfusion CT. Eur. J. 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Heart J. 2014; 35 (17): 1120–1130. http://doi.org/10.1093/eurheartj/eht488; Douglas P.S., Hoffmann U., Patel M.R. et al. Outcomes of Anatomical versus Functional Testing for Coronary Artery Disease. N. Engl. J. Med. 2015; 372: 1291–1300. http://doi.org/10.1056/nejmoa1415516; Assen M.V., Vonder M., Pelgrim G.J. et al. Computed tomo graphy for myocardial characterization in ischemic heart disease: a state-of-the-art review. Eur. Radiol. Exp. 2020; 4 (1): 36. http://doi.org/10.1186/s41747-020-00158-1; Bucher A.M., De Cecco C.N., Schoepf U.J. et al. Cardiac CT for myocardial ischaemia detection and characterization--comparative analysis. Br. J. Radiol. 2014; 87 (1043): 20140159. http://doi.org/10.1259/bjr.20140159; Sørgaard M.H., Kofoed K.F., Linde J.J. et al. Diagnostic accuracy of static CT perfusion for the detection of myocardial ischemia. A systematic review and metaanalysis. J. Cardiovasc. Comput. Tomogr. 2016; 10 (6): 450–457. http://doi.org/10.1016/j.jcct.2016.09.003; Davies J.E., Cook C.M. Is FFRCT Ready to Assume the Crown Jewels of Invasive FFR? J. Am. Coll. Cardiol. Img. 2017; 10 (4): 434–436. http://doi.org/10.1016/j.jcmg.2016.06.016; Pontone G., Baggiano A., Andreini D. et al. Stress Computed Tomography Perfusion Versus Fractional Flow Reserve CT Derived in Suspected Coronary Artery Disease: The PERFECTION Study. JACC Cardiovasc. Imaging. 2019; 12 (8, Pt 1): 1487–1497. http://doi.org/10.1016/j.jcmg.2018.08.023; Kurata A., Mochizuki T., Koyama Y. et al. Myocardial perfusion imaging using adenosine triphosphate stress multi-slice spiral computed tomography: alternative to stress myocardial perfusion scintigraphy. Circ. J. 2005; 69 (5): 550–557. http://doi.org/10.1253/circj.69.550; Maffei E., Martini C., Rossi A. et al. Diagnostic accuracy of second-generation dual-source computed tomography coronary angiography with iterative reconstructions: a real-world experience. Radiol. Med. 2012; 117 (5): 725–738. http://doi.org/10.1007/s11547-011-0754-x; Cademartiri F., Seitun S., Clemente A. et al. Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography. Cardiovasc. Diagn. Ther. 2017; 7 (2): 129–150. http://doi.org/10.21037/cdt.2017.03.22; Lu M., Wang S., Sirajuddin A. et al. Dynamic stress computed tomography myocardial perfusion for detecting myocardial ischemia: A systematic review and metaanalysis. Int. J. Cardiol. 2018; 258: 325–331. http://doi.org/10.1016/j.ijcard.2018.01.095.; Hounsfield G.N. Computerized transverse axial scanning (tomography). 1. Description of system. Br. J. Radiol. 1973; 46 (552):1016–1022. http://doi.org/10.1259/0007-1285-46-552-1016; Danad I., Fayad Z.A., Willemink M.J., Min J.K. New Applications of Cardiac Computed Tomography: DualEnergy, Spectral, and Molecular CT Imaging. JACC Cardiovasc. Imaging. 2015; 8 (6): 710–723. http://doi.org/10.1016/j.jcmg.2015.03.005; Jin K.N., De Cecco C.N., Caruso D. et al. Myocardial perfusion imaging with dual energy CT. Eur. J. Radiol. 2016; 85 (10): 1914–1921. http://doi.org/10.1016/j.ejrad.2016.06.023; Wang R., Yu W., Wang Y. et al. Incremental value of dualenergy CT to coronary CT angiography for the detection of significant coronary stenosis: comparison with quantitative coronary angiography and single photon emission computed tomography. Int. J. Cardiovasc. Imaging. 2011; 27 (5): 647–656. http://doi.org/10.1007/s10554-011-9881-7; Ko S.M., Choi J.W., Hwang H.K. et al. Diagnostic performance of combined noninvasive anatomic and functional assessment with dual-source CT and adenosineinduced stress dual-energy CT for detection of significant coronary stenosis. Am. J. Roentgenol. 2012; 198 (3): 512–520. http://doi.org/10.2214/AJR.11.7029; Yamada M., Jinzaki M., Kuribayashi S. et al. Beamhardening correction for virtual monochromatic imaging of myocardial perfusion via fast-switching dual-kVp 64-slice computed tomography: a pilot study using a human heart specimen. Circ. J. 2012; 76 (7): 1799– 1801. http://doi.org/10.1253/circj.CJ-12-0463; Bundhun P.K., Yanamala C.M., Huang F. Comparing the adverse clinical outcomes associated with fraction flow reserve-guided versus angiography-guided percutaneous coronary intervention: a systematic review and meta-analysis of randomized controlled trials. BMC Cardiovasc. Disord. 2016; 16 (1): 249. http://doi.org/10.1186/s12872-016-0427-8; Ko B.S., Cameron J.D., Munnur R.K. et al. Noninvasive CT-Derived FFR Based on Structural and Fluid Analysis: A Comparison With Invasive FFR for Detection of Functionally Significant Stenosis. JACC Cardiovasc. Imaging. 2017; 10 (6): 663–673. http://doi.org/10.1016/j.jcmg.2016.07.005; Taylor C.A., Fonte T.A., Min J.K. Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis. J. Am. Coll. Cardiol. 2013; 61 (22): 2233– 2241. http://doi.org/10.1016/j.jacc.2012.11.083; Tonino P.A., De Bruyne B., Pijls N.H. et al.; FAME Study Investigators. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N. Engl. J. Med. 2009; 360 (3): 213–224. http://doi.org/10.1016/s0145-4145(09)79763-1; Ko B.S., Linde J.J., Ihdayhid A.R. et al. Non-invasive CTderived fractional flow reserve and static rest and stress CT myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis. Int. J. Cardiovasc. Imaging. 2019; 35 (11): 2103–2112. http://doi.org/10.1007/s10554-019-01658-x; Zhuang B., Wang S., Zhao S. et al. GW29-e1123 Computed Tomography Angiography-Derived Fractional Flow Reserve (CT-FFR) for the Detection of Myocardial Ischemia-with Invasive Fractional Flow Reserve as Reference: Systematic Review and Meta-Analysis. J. Am. Coll. Cardiol. 2018; 72 (16_Suppl.) C200–C201. http://doi.org/10.1016/j.jacc.2018.08.874; Zhuang B., Wang S., Zhao S., Lu M. Computed tomography angiography-derived fractional flow reserve (CT-FFR) for the detection of myocardial ischemia with invasive fractional flow reserve as reference: systematic review and meta-analysis. Eur. Radiol. 2020; 30 (2): 712–725. http://doi.org/10.1007/s00330-019-06470-8.; Abbara S., Blanke P., Maroules C.D. et al. SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the society of Cardiovascular Computed Tomography Guidelines Committee: Endorsed by the North American Society for Cardiovascular Imaging (NASCI). J. Cardiovasc. Comput. Tomogr. 2016; 10 (6): 435–449. http://doi.org/10.1016/j.jcct.2009.03.004; Sharma R.K., Arbab-Zadeh A., Kishi S. et al. Incremental diagnostic accuracy of computed tomography myocardial perfusion imaging over coronary angiography stratified by pre-test probability of coronary artery disease and severity of coronary artery calcification: The CORE320 study. Int. J. Cardiol. 2015; 201: 570–577. http://doi.org/10.1016/j.ijcard.2015.05.110; Koo B.K., Erglis A., Doh J.H. et al. Diagnosis of ischemiacausing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J. Am. Coll. Cardiol. 2011 Nov 1;58(19): 1989–1997. http://doi.org/10.1016/j.jacc.2011.06.066.; Синицын В.Е., Глазкова М.А., Мершина Е.А., Архипова И.М. Возможности снижения лучевой нагрузки при проведении мСкТ коронарографии: использование адаптивной статистической итеративной реконструкции. Ангиология и сосудистая хирургия. 2012; 18 (3): 44–49. Sinitsyn V.E., Glazkova M.A., Mershina E.A., Arhipova I.M. Possibilities of decreasing radiation load during MSRT coronarography: using adaptive statistic iterative reconstruction. Angiology and Vascular Surgery. 2012; 18 (3): 44–49. (In Russian); Маткевич Е.И., Синицын В.Е., Зеликман М.И., Кручинин С.А., Иванов И.В. Основные направления снижения дозы облучения пациентов при компьютерной томографии. REJR. 2018; 8 (3), 60–73. http://doi. org/10.21569/2222-7415-2018-8-3-60-73 Matkevich E.I., Sinitsyn V.E., Zelikman M.I., Kruchinin S.A., Ivanov I.V. Main directions of reducing patient irradiation doses in computed tomography. REJR. 2018; 8 (3), 60–73. http://doi.org/10.21569/2222-7415-2018-8-3-60-73 (In Russian); Kerl J.M., Bauer R.W., Maurer T.B. et al. Dose levels at coronary CT angiography - a comparison of Dual Energy-, Dual Source- and 16-slice CT. Eur. Radiol. 2011; 21 (3): 530–537. http://doi.org/10.1007/s00330-010-1954-9; Task Force on Myocardial Revascularization of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS); European Association for Percutaneous Cardiovascular Interventions (EAPCI), Wijns W., Kolh P., Danchin N. et al. Guidelines on myocardial revascularization. Eur. Heart J. 2010; 31 (20): 2501–2555. http://doi.org/10.1093/eurheartj/ehq277; https://medvis.vidar.ru/jour/article/view/983
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3Academic Journal
Συγγραφείς: D. A. Vorobeva, A. V. Mochula, A. E. Baev, V. V. Ryabov, Д. А. Воробьева, А. В. Мочула, А. Е. Баев, В. В. Рябов
Πηγή: Siberian Journal of Clinical and Experimental Medicine; Том 34, № 2 (2019); 71-78 ; Сибирский журнал клинической и экспериментальной медицины; Том 34, № 2 (2019); 71-78 ; 2713-265X ; 2713-2927 ; 10.29001/2073-8552-2019-34-2
Θεματικοί όροι: однофотонная эмиссионная компьютерная томография сердца, myocardial infarction with non-obstructive coronary arteries, multispiral computed tomography, single photon emission tomography, инфаркт миокарда без обструктивного поражения коронарных артерий, мультиспиральная компьютерная томография
Περιγραφή αρχείου: application/pdf
Relation: https://www.sibjcem.ru/jour/article/view/763/450; Ibanez B., James S., Agewall S., Antunes M.J., Bucciarelli-Ducci C., Bueno H., et al. 2017 ESC guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur. Heart J. 2018 Jan. 7;39(2):119–177. DOI:10.1093/eurheartj/ehx393.; Рябов В.В., Гомбоева С.Б., Шелковникова Т.А., Баев А.Е., Ребенкова М.С., Роговская Ю.В., Усов В.Ю. Магнитно-резонансная томография сердца в дифференциальной диагностике острого коронарного синдрома у больных необструктивным коронарным атеросклерозом. Российский кардиологический журнал. 2017;12(152):47–54. DOI:10.15829/1560-4071-2017-12-47-54.; Терновой С.К., Шабанова М.С., Гаман С.А., Меркулова И.Н., Шария М.А. Роль компьютерной томографии в выявлении нестабильных атеросклеротических бляшек коронарных артерий: сопоставление результатов компьютерной томографии и внутрисосудистого ультразвукового исследования. Российский электронный журнал лучевой диагностики. 2016;6(3):68–79. DOI:10.21569/2222-7415-2016-6-3-68-79.; Thomsen C., Abdulla J. Characteristics of high-risk coronary plaques identified by computed tomographic angiography and associated prognosis: a systematic review and meta-analysis. European Heart Journal – Cardiovascular Imaging. 2016/ Feb.;17(2):120–129. DOI:10.1093/ehjci/jev325.; Voros S., Rinehart S., Qian Z., Joshi P., Vazquez G., Fischer C., et al. Coronary atherosclerosis imaging by coronary CT angiography: current status, correlation with intravascular interrogation and meta-analysis. JACC Cardiovascular Imaging. 2011;4(5):537–548. DOI:10.1016/j.jcmg.2011.03.006.; Ito T., Terashima M., Kaneda H., Nasu K., Matsuo H., Ehara M., et al. Comparison of in vivo assessment of vulnerable plaque by 64-slice multislice computed tomography versus optical coherence tomography. Am. J. Cardiol. 2011 May 1;107(9):1270–1277. DOI:10.1016/j.amjcard.2010.12.036.; Сергиенко В.Б., Аншелес А.А. Томографические методы в оценке перфузии миокарда. Вестник рентгенологии и радиологии. 2010;3:10–14.; Henzlova M.J., Duvall W.L., Einstein A.J., Travin M.I., Verberne H.J. ASNC imaging guidelines for SPECT nuclear cardiology procedures: Stress, protocols, and tracers. J. Nucl. Cardiol. 2016;23(3):606-639. DOI:10.1007/s12350-015-0387-x.; Xiu J., Cui K., Wang Y., Zheng H., Chen G., Feng Q., Bin J., et al. Prognostic value of myocardial perfusion analysis in patients with coronary artery disease: a meta-analysis. J. Am. Soc. Echocardiogr. 2017 Mar.;30(3):270–281. DOI:10.1016/j.echo.2016.11.015.; Peix A., Macides Y., Rodríguez L., Cabrera L.O., Padrón K., Heres F., et al. Stress-rest myocardial perfusion scintigraphy and adverse cardiac events in heart failure patients. MEDICC Review. 2015 Apr.;17(2): 33–38.; Sharif-Yakan A., Divchev D., Trautwein U., Nienaber Ch.A. The coronary slow flow phenomena or «cardiac syndrome Y». Reviews in Vascular Medicine. 2014 Dec.;2(4):118–122. DOI:10.1016/j.rvm.2014.07.001; Завадовский К.В., Гуля М.О., Саушкин В.В., Саушкина Ю.В., Лишманов Ю.Б. Совмещенная однофотонная эмиссионная и рентгеновская компьютерная томография сердца: методические аспекты. Вестник рентгенологии и радиологии. 2016;97(4): 235–242.; Pasupathy S., Air T., Dreyer R.P., Tavella R., Beltrame J.F. Systematic review of patients presenting with suspected myocardial infarction and nonobstructive coronary arteries. Circulation. 2015;131:861–870.; Tornvall P., Gerbaud E., Behaghel A., Chopard R., Collste O., Laraudogoitia E., et al. Myocarditis or “true” infarction by cardiac magnetic resonance in patients with a clinical diagnosis of myocardial infarction without obstructive coronary disease. Atherosclerosis. 2015 Jul.;241(1):87–91. DOI:10.1016/j.atherosclerosis.2015.04.816.; Task Force Members, Montalescot G., Sechtem U., Achenbach S., Andreotti F., Arden C., et al. ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur. Heart J. 2013 Oct.;34(38):2949–3003. DOI:10.1093/eurheartj/eht296.; Obaid D.R., Calvert P.A., Gopalan D., Parker R.A., Hoole S.P., West N.E., et al. Atherosclerotic plaque composition and classification identified by coronary computed tomography: assessment of computed tomography-generated plaque maps compared with virtual histology intravascular ultrasound and histology. Circulation: Cardiovascular Imaging. 2013 Sep.;6(5):655–664. DOI:10.1161/CIRCIMAGING.112.000250.; Puchner S.B., Lu M.T., Mayrhofer T., Liu T., Pursnani A., Ghoshhajra B.B., et al. High-risk plaque detected on coronary ct angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II Trial. JACC. 2014 Aug. 19;64(7):684–692. DOI:10.1016/j.jacc.2014.05.039.; Lindahl B., Baron T., Erlinge D., Hadziosmanovic N., Nordenskjöld A., Gard A., Jernberg T. Medical therapy for secondary prevention and longterm outcome in patients with myocardial infarction with nonobstructive coronary artery disease. Circulation. 2017 Apr. 18;135(16):1481–1489. DOI:10.1161/CIRCULATIONAHA.116.026336.; Wang X., Nie S.P. The coronary slow flow phenomenon: Characteristics, mechanisms and implications. Cardiovascular Diagnosis and Therapy. 2011 Dec.; 1(1):37–43. DOI:10.3978/j.issn.2223-3652.2011.10.01.; Goldkorn R., Naimushin A., Beigel R., Naimushin E., Narodetski M., Matetzky S. Evaluation of patients with acute chest pain using SPECT myocardial perfusion imaging: prognostic implications of mildly abnormal scans. Israel Medical Association Journal. 2017 Jun.;19(6):368–371.; Завадовский К.В., Саушкин В.В., Гракова Е.В., Гуля М.О., Мочула А.В. Состояние миокардиальной перфузии у пациентов с ангиографически незначимыми, пограничными и значимыми стенозами коронарных артерии. REJR. 2017; 7(4): 39–54. DOI:10.21569/2222-7415-2017-7-4-39-54.; https://www.sibjcem.ru/jour/article/view/763
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4Academic Journal
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5Academic Journal
Συγγραφείς: M. S. Khubutiya, G. A. Gazaryan, H. G. Alidzhanova, L. G. Gazaryan, R. S. Muslimov, М. Ш. Хубутия, Г. А. Газарян, Х. Г. Алиджанова, Л. Г. Газарян, Р. Ш. Муслимов
Πηγή: Russian Sklifosovsky Journal "Emergency Medical Care"; № 3 (2014); 27-33 ; Журнал им. Н.В. Склифосовского «Неотложная медицинская помощь»; № 3 (2014); 27-33 ; 2541-8017 ; 2223-9022 ; undefined
Θεματικοί όροι: мультиспиральная компьютерная томография сердца, excision of endocardium and arterial intima, multiple artificial heart valves, echocardiography, multispiral computed tomography of the heart, эндокардинтимэктомия, множественное протезирование клапанов сердца, эхокардиография
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6Academic Journal
Συγγραφείς: Макиев, Руслан, Аланичев, Андрей, Шахнович, Павел, Рахимова, Ольга, Овчинников, Юрий, Фисун, Александр
Θεματικοί όροι: ОДНОФОТОННАЯ ЭМИССИОННАЯ КОМПЬЮТЕРНАЯ ТОМОГРАФИЯ СЕРДЦА, ПЕРФУЗИЯ МИОКАРДА, МИКРОЦИРКУЛЯЦИЯ, МЕТОПРОЛОЛ, АМЛОДИПИН
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7Academic Journal
Πηγή: Клиническая медицина.
Θεματικοί όροι: 03 medical and health sciences, 0302 clinical medicine, ОДНОФОТОННАЯ ЭМИССИОННАЯ КОМПЬЮТЕРНАЯ ТОМОГРАФИЯ СЕРДЦА, ПЕРФУЗИЯ МИОКАРДА, МИКРОЦИРКУЛЯЦИЯ, МЕТОПРОЛОЛ, АМЛОДИПИН, 3. Good health
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