Literature DB >> 25649865

Measuring myocardial perfusion: the role of PET, MRI and CT.

A A Qayyum1, J Kastrup2.   

Abstract

Recently, focus has changed from anatomical assessment of coronary arteries towards functional testing to evaluate the effect of stenosis on the myocardium before intervention. Besides positron-emission tomography (PET), cardiac MRI (CMR), and cardiac CT are able to measure myocardial perfusion. Myocardial perfusion abnormalities are the first sign of the ischaemic cascade in the development of coronary artery disease (CAD). PET is considered the non-invasive clinical reference standard for absolute quantification of myocardial perfusion. The diagnostic and prognostic value of PET is well-known and is used in routine clinical practice. However, PET uses radioactive tracers and has a lower spatial resolution compared to CMR and CT. CMR and CT are emerging techniques in the field of myocardial perfusion imaging. CMR uses magnetic resonance to obtain images, whereas CT uses x-rays during first-pass of non-ionic and ionic contrast agents, respectively. Absolute quantification with CMR has yet to be established in routine clinical practice, while CT has yet to prove its diagnostic and prognostic value. The upcoming years may change the way we diagnose and treat patients suspected of having CAD with more precise methods for measuring myocardial perfusion. The aim of this comprehensive review is to discuss current and emerging imaging techniques used for myocardial perfusion imaging.
Copyright © 2015 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25649865     DOI: 10.1016/j.crad.2014.12.017

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  10 in total

1.  Machine learning in the integration of simple variables for identifying patients with myocardial ischemia.

Authors:  Luis Eduardo Juarez-Orozco; Remco J J Knol; Carlos A Sanchez-Catasus; Octavio Martinez-Manzanera; Friso M van der Zant; Juhani Knuuti
Journal:  J Nucl Cardiol       Date:  2018-05-22       Impact factor: 5.952

Review 2.  Cardiac MR: From Theory to Practice.

Authors:  Tevfik F Ismail; Wendy Strugnell; Chiara Coletti; Maša Božić-Iven; Sebastian Weingärtner; Kerstin Hammernik; Teresa Correia; Thomas Küstner
Journal:  Front Cardiovasc Med       Date:  2022-03-03

3.  Single-scan rest/stress imaging with 99mTc-Sestamibi and cadmium zinc telluride-based SPECT for hyperemic flow quantification: A feasibility study evaluated with cardiac magnetic resonance imaging.

Authors:  Yu-Hua Dean Fang; Yuan-Chang Liu; Kung-Chu Ho; Feng-Cheng Kuo; Ching-Fang Yang; Tzu-Chen Yen; I-Chang Hsieh
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

4.  Do we need invasive confirmation of cardiac magnetic resonance results?

Authors:  Paweł Siastała; Jacek Kądziela; Łukasz A Małek; Mateusz Śpiewak; Katarzyna Lech; Adam Witkowski
Journal:  Postepy Kardiol Interwencyjnej       Date:  2017-03-10       Impact factor: 1.426

Review 5.  CT Myocardial Perfusion Imaging: A New Frontier in Cardiac Imaging.

Authors:  Sara Seitun; Cecilia De Lorenzi; Filippo Cademartiri; Angelo Buscaglia; Nicole Travaglio; Manrico Balbi; Gian Paolo Bezante
Journal:  Biomed Res Int       Date:  2018-10-14       Impact factor: 3.411

6.  The predictive value of Cardiodynamicsgram in myocardial perfusion abnormalities.

Authors:  Xunde Dong; Jinhe Zhang; Hongji Lai; Min Tang; Shanxing Ou; Jianhong Dou; Cong Wang
Journal:  PLoS One       Date:  2018-12-17       Impact factor: 3.240

7.  Cardiac Magnetic Resonance Imaging used for Evaluation of Adipose-Derived Stromal Cell Therapy in Patients with Chronic Ischemic Heart Disease.

Authors:  Abbas Ali Qayyum; Anders Bruun Mathiasen; Naja Dam Mygind; Niels Groove Vejlstrup; Jens Kastrup
Journal:  Cell Transplant       Date:  2019-11-08       Impact factor: 4.064

8.  Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination.

Authors:  Minna Husso; Isaac O Afara; Mikko J Nissi; Antti Kuivanen; Paavo Halonen; Miikka Tarkia; Jarmo Teuho; Virva Saunavaara; Pauli Vainio; Petri Sipola; Hannu Manninen; Seppo Ylä-Herttuala; Juhani Knuuti; Juha Töyräs
Journal:  Ann Biomed Eng       Date:  2020-08-20       Impact factor: 3.934

9.  Stress myocardial blood flow correlates with ventricular function and synchrony better than myocardial perfusion reserve: A Nitrogen-13 ammonia PET study.

Authors:  Luis Eduardo Juárez-Orozco; Erick Alexanderson; Rudi A Dierckx; Hendrikus H Boersma; Johannes L Hillege; Clark J Zeebregts; Myriam M Martínez-Aguilar; Antonio Jordán-Ríos; Ana Gabriela Ayala-German; Niek Prakken; Rene A Tio; Riemer H Slart
Journal:  J Nucl Cardiol       Date:  2016-09-28       Impact factor: 5.952

10.  Autologous adipose-derived stromal cell treatment for patients with refractory angina (MyStromalCell Trial): 3-years follow-up results.

Authors:  Abbas Ali Qayyum; Anders Bruun Mathiasen; Steffen Helqvist; Erik Jørgensen; Mandana Haack-Sørensen; Annette Ekblond; Jens Kastrup
Journal:  J Transl Med       Date:  2019-11-12       Impact factor: 5.531

  10 in total

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