Literature DB >> 28540215

Myocardial flow reserve (MFR) with positron emission tomography (PET)/computed tomography (CT): clinical impact in diagnosis and prognosis.

Maria Cecilia Ziadi1.   

Abstract

In recent years, radionuclide myocardial perfusion imaging (MPI) using positron emission tomography/computed tomography (PET/CT) has emerged as a robust tool for the diagnosis, risk stratification and management of patients with known or established coronary artery disease (CAD). Cardiac PET/CT imaging affords key advantages compared to single photon emission computed tomography (SPECT) that encompass: (I) improved diagnostic accuracy; (II) decreased radiation exposure due to the utilization of short-lived radiopharmaceuticals, and importantly; (III) the ability to quantify noninvasively myocardial blood flow (MBF) in absolute terms, that is in ml per minute per gram of tissue. Quantitative approaches that measure MBF with PET can facilitate the diagnosis of multivessel CAD and offer the opportunity to monitor responses to lifestyle and/or risk factor modification and to therapeutic interventions. The aim of this review is to focus on the potential clinical utility of MBF and will discuss: (I) basics aspects of PET clinical perfusion tracers and flow quantification parameters; (II) limitations of relative MPI, (III) summarize a classification of diseases where flow quantification may be of use; (IV) specifically, review data on the diagnosis and prognostic value of flow quantification.

Entities:  

Keywords:  Positron emission tomography/computed tomography (PET/CT); clinical value; myocardial flow reserve

Year:  2017        PMID: 28540215      PMCID: PMC5422840          DOI: 10.21037/cdt.2017.04.10

Source DB:  PubMed          Journal:  Cardiovasc Diagn Ther        ISSN: 2223-3652


  54 in total

1.  Prediction of short-term cardiovascular events using quantification of global myocardial flow reserve in patients referred for clinical 82Rb PET perfusion imaging.

Authors:  Kenji Fukushima; Mehrbod S Javadi; Takahiro Higuchi; Riikka Lautamäki; Jennifer Merrill; Stephan G Nekolla; Frank M Bengel
Journal:  J Nucl Med       Date:  2011-04-15       Impact factor: 10.057

2.  Coronary vascular dysfunction and prognosis in patients with chronic kidney disease.

Authors:  Venkatesh L Murthy; Masanao Naya; Courtney R Foster; Jon Hainer; Mariya Gaber; Sharmila Dorbala; David M Charytan; Ron Blankstein; Marcelo F Di Carli
Journal:  JACC Cardiovasc Imaging       Date:  2012-10

3.  Coronary heart disease in smokers: vitamin C restores coronary microcirculatory function.

Authors:  P A Kaufmann; T Gnecchi-Ruscone; M di Terlizzi; K P Schäfers; T F Lüscher; P G Camici
Journal:  Circulation       Date:  2000-09-12       Impact factor: 29.690

4.  Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13N-ammonia PET/CT.

Authors:  Piotr J Slomka; Erick Alexanderson; Rodrigo Jácome; Moises Jiménez; Edgar Romero; Aloha Meave; Ludovic Le Meunier; Magnus Dalhbom; Daniel S Berman; Guido Germano; Heinrich Schelbert
Journal:  J Nucl Med       Date:  2012-01-06       Impact factor: 10.057

5.  Heterogeneity of resting and hyperemic myocardial blood flow in healthy humans.

Authors:  P Chareonthaitawee; P A Kaufmann; O Rimoldi; P G Camici
Journal:  Cardiovasc Res       Date:  2001-04       Impact factor: 10.787

6.  Effect of aging on myocardial perfusion reserve.

Authors:  N G Uren; P G Camici; J A Melin; A Bol; B de Bruyne; J Radvan; I Olivotto; S D Rosen; M Impallomeni; W Wijns
Journal:  J Nucl Med       Date:  1995-11       Impact factor: 10.057

7.  Incremental prognostic value of gated Rb-82 positron emission tomography myocardial perfusion imaging over clinical variables and rest LVEF.

Authors:  Sharmila Dorbala; Rory Hachamovitch; Zelmira Curillova; Deepak Thomas; Divya Vangala; Raymond Y Kwong; Marcelo F Di Carli
Journal:  JACC Cardiovasc Imaging       Date:  2009-07

8.  Independent and incremental prognostic value of left ventricular ejection fraction determined by stress gated rubidium 82 PET imaging in patients with known or suspected coronary artery disease.

Authors:  Kirkeith Lertsburapa; Alan W Ahlberg; Timothy M Bateman; Deborah Katten; Lyndy Volker; S James Cullom; Gary V Heller
Journal:  J Nucl Cardiol       Date:  2008-09-12       Impact factor: 5.952

9.  Diagnostic accuracy of rest/stress ECG-gated Rb-82 myocardial perfusion PET: comparison with ECG-gated Tc-99m sestamibi SPECT.

Authors:  Timothy M Bateman; Gary V Heller; A Iain McGhie; John D Friedman; James A Case; Jan R Bryngelson; Ginger K Hertenstein; Kelly L Moutray; Kimberly Reid; S James Cullom
Journal:  J Nucl Cardiol       Date:  2006 Jan-Feb       Impact factor: 5.952

10.  Relevance of coronary microvascular flow impairment to long-term remodeling and systolic dysfunction in hypertrophic cardiomyopathy.

Authors:  Iacopo Olivotto; Franco Cecchi; Roberto Gistri; Roberto Lorenzoni; Giampaolo Chiriatti; Francesca Girolami; Francesca Torricelli; Paolo G Camici
Journal:  J Am Coll Cardiol       Date:  2006-03-07       Impact factor: 24.094

View more
  12 in total

1.  The diagnostic value of SPECT CZT quantitative myocardial blood flow in high-risk patients.

Authors:  Evgeniy A Nesterov; Konstantin V Zavadovsky; Andrew V Mochula; Alina N Maltseva; Alla A Boshchenko; Andrew E Baev; Sergey L Andreev; Riccardo Liga; Alessia Gimelli
Journal:  J Nucl Cardiol       Date:  2020-10-23       Impact factor: 3.872

2.  Dynamic cardiac PET imaging: Technological improvements advancing future cardiac health.

Authors:  Grant T Gullberg; Uttam M Shrestha; Youngho Seo
Journal:  J Nucl Cardiol       Date:  2018-01-31       Impact factor: 5.952

3.  Absolute myocardial blood flows derived by dynamic CZT scan vs invasive fractional flow reserve: Correlation and accuracy.

Authors:  Konstantin V Zavadovsky; Andrew V Mochula; Alla A Boshchenko; Alexander V Vrublevsky; Andrew E Baev; Alexander L Krylov; Marina O Gulya; Evgeny A Nesterov; Riccardo Liga; Alessia Gimelli
Journal:  J Nucl Cardiol       Date:  2019-03-07       Impact factor: 5.952

4.  Diagnostic efficiency of quantification of myocardial blood flow and coronary flow reserve with CZT dynamic SPECT imaging for patients with suspected coronary artery disease: a comparative study with traditional semi-quantitative evaluation.

Authors:  Jiao Wang; Shuai Li; Weiqiang Chen; Yue Chen; Zekun Pang; Jianming Li
Journal:  Cardiovasc Diagn Ther       Date:  2021-02

5.  Quantitative Assessment of Myocardial Ischemia With Positron Emission Tomography.

Authors:  Jae Ho Sohn; Spencer C Behr; Miguel Hernandez Pampaloni; Youngho Seo
Journal:  J Thorac Imaging       Date:  2021-01-22       Impact factor: 5.528

Review 6.  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

7.  Rubidium-82 generator yield and efficiency for PET perfusion imaging: Comparison of two clinical systems.

Authors:  Ali Ahmadi; Ran Klein; Howard C Lewin; Rob S B Beanlands; Robert A deKemp
Journal:  J Nucl Cardiol       Date:  2020-05-20       Impact factor: 5.952

8.  The Utility of Noninvasive PET/CT Myocardial Perfusion Imaging in Adult Liver Transplant Candidates.

Authors:  Monica A Tincopa; Richard L Weinberg; Shreya Sengupta; Jeremy Slivnick; James Corbett; Christopher J Sonnenday; Robert J Fontana; Pratima Sharma
Journal:  Transplant Direct       Date:  2022-03-25

9.  The continual innovation of commercial PET/CT solutions in nuclear cardiology: Siemens Healthineers.

Authors:  Bernard Bendriem; Jessie Reed; Kathryn McCullough; Mohammad Raza Khan; Anne M Smith; Damita Thomas; Misty Long
Journal:  J Nucl Cardiol       Date:  2018-04-10       Impact factor: 5.952

10.  Diagnostic analysis of new quantitative parameters of low-dose dynamic myocardial perfusion imaging with CZT SPECT in the detection of suspected or known coronary artery disease.

Authors:  Zekun Pang; Jiao Wang; Shuai Li; Yue Chen; Xiaojie Wang; Jianming Li
Journal:  Int J Cardiovasc Imaging       Date:  2020-09-10       Impact factor: 2.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.