Literature DB >> 19525467

Reproducibility and accuracy of quantitative myocardial blood flow assessment with (82)Rb PET: comparison with (13)N-ammonia PET.

Georges El Fakhri1, Arash Kardan, Arkadiusz Sitek, Sharmila Dorbala, Nathalie Abi-Hatem, Youmna Lahoud, Alan Fischman, Martha Coughlan, Tsunehiro Yasuda, Marcelo F Di Carli.   

Abstract

UNLABELLED: (82)Rb cardiac PET allows the assessment of myocardial perfusion with a column generator in clinics that lack a cyclotron. There is evidence that the quantitation of myocardial blood flow (MBF) and coronary flow reserve (CFR) with dynamic (82)Rb PET is feasible. The objectives of this study were to determine the accuracy and reproducibility of MBF estimates from dynamic (82)Rb PET by using our methodology for generalized factor analysis (generalized factor analysis of dynamic sequences [GFADS]) and compartment analysis.
METHODS: Reproducibility was evaluated in 22 subjects undergoing dynamic rest and dipyridamole stress (82)Rb PET studies at a 2-wk interval. The inter- and intraobserver variability of MBF quantitation with dynamic (82)Rb PET was assessed with 4 repeated estimations by each of 4 observers. Accuracy was evaluated in 20 subjects undergoing dynamic rest and dipyridamole stress PET studies with (82)Rb and (13)N-ammonia, respectively. The left ventricular and right ventricular blood pool and left ventricular tissue time-activity curves were estimated by GFADS. MBF was estimated by fitting the blood pool and tissue time-activity curves to a 2-compartment kinetic model for (82)Rb and to a 3-compartment model for (13)N-ammonia. CFR was estimated as the ratio of peak MBF to baseline MBF.
RESULTS: The reproducibility of the MBF estimates in repeated (82)Rb studies was very good at rest and during peak stress (R(2)= 0.935), as was the reproducibility of the CFR estimates (R(2) = 0.841). The slope of the correlation line was very close to one for the estimation of MBF (0.986) and CFR (0.960) in repeated (82)Rb studies. The intraobserver reliability was less than 3% for the estimation of MBF at rest and during peak stress as well as for the estimation of CFR. The interobserver reliabilities were 0.950 at rest and 0.975 at peak stress. The correlation between myocardial flow estimates obtained at rest and those obtained during peak stress in (82)Rb and (13)N-ammonia studies was very good (R(2) = 0.857). Bland-Altman plots comparing CFR estimated with (82)Rb and CFR estimated with (13)N-ammonia revealed an underestimation of CFR with (82)Rb compared with (13)N-ammonia; the underestimation was within +/-1.96 SD.
CONCLUSION: MBF quantitation with GFADS and dynamic (82)Rb PET demonstrated excellent reproducibility as well as intra- and interobserver reliability. The accuracy of the absolute quantitation of MBF with factor and compartment analyses and dynamic (82)Rb PET was very good, compared with that achieved with (13)N-ammonia, for MBF of up to 2.5 mL/g/min.

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Year:  2009        PMID: 19525467      PMCID: PMC3133618          DOI: 10.2967/jnumed.104.007831

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  19 in total

Review 1.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association.

Authors:  Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Warren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani
Journal:  J Nucl Cardiol       Date:  2002 Mar-Apr       Impact factor: 5.952

2.  Comparison of 2-dimensional and 3-dimensional 82Rb myocardial perfusion PET imaging.

Authors:  Karin Knesaurek; Josef Machac; Borys R Krynyckyi; Orlandino D Almeida
Journal:  J Nucl Med       Date:  2003-08       Impact factor: 10.057

3.  Quantification of regional myocardial blood flow using 13N-ammonia and reoriented dynamic positron emission tomographic imaging.

Authors:  W G Kuhle; G Porenta; S C Huang; D Buxton; S S Gambhir; H Hansen; M E Phelps; H R Schelbert
Journal:  Circulation       Date:  1992-09       Impact factor: 29.690

4.  Noninvasive quantification of regional myocardial perfusion with rubidium-82 and positron emission tomography. Exploration of a mathematical model.

Authors:  P Herrero; J Markham; M E Shelton; C J Weinheimer; S R Bergmann
Journal:  Circulation       Date:  1990-10       Impact factor: 29.690

5.  Myocardial perfusion with rubidium-82. I. Measurement of extraction fraction and flow with external detectors.

Authors:  N A Mullani; R A Goldstein; K L Gould; S K Marani; D J Fisher; H A O'Brien; M D Loberg
Journal:  J Nucl Med       Date:  1983-10       Impact factor: 10.057

6.  Correction for scattered radiation in a ring detector positron camera by integral transformation of the projections.

Authors:  M Bergström; L Eriksson; C Bohm; G Blomqvist; J Litton
Journal:  J Comput Assist Tomogr       Date:  1983-02       Impact factor: 1.826

Review 7.  Clinical cardiac PET using generator-produced Rb-82: a review.

Authors:  K L Gould
Journal:  Cardiovasc Intervent Radiol       Date:  1989 Sep-Oct       Impact factor: 2.740

8.  Validation of nitrogen-13-ammonia tracer kinetic model for quantification of myocardial blood flow using PET.

Authors:  O Muzik; R S Beanlands; G D Hutchins; T J Mangner; N Nguyen; M Schwaiger
Journal:  J Nucl Med       Date:  1993-01       Impact factor: 10.057

9.  PET attenuation coefficients from CT images: experimental evaluation of the transformation of CT into PET 511-keV attenuation coefficients.

Authors:  C Burger; G Goerres; S Schoenes; A Buck; A H R Lonn; G K Von Schulthess
Journal:  Eur J Nucl Med Mol Imaging       Date:  2002-04-19       Impact factor: 9.236

10.  Noninvasive assessment of coronary stenoses by myocardial perfusion imaging during pharmacologic coronary vasodilation. VIII. Clinical feasibility of positron cardiac imaging without a cyclotron using generator-produced rubidium-82.

Authors:  K L Gould; R A Goldstein; N A Mullani; R L Kirkeeide; W H Wong; T J Tewson; M S Berridge; L A Bolomey; R K Hartz; R W Smalling
Journal:  J Am Coll Cardiol       Date:  1986-04       Impact factor: 24.094

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  118 in total

Review 1.  PET measurement of adenosine stimulated absolute myocardial blood flow for physiological assessment of the coronary circulation.

Authors:  Henry Gewirtz
Journal:  J Nucl Cardiol       Date:  2012-04       Impact factor: 5.952

2.  Patient-centered imaging.

Authors:  E Gordon Depuey; John J Mahmarian; Todd D Miller; Andrew J Einstein; Christopher L Hansen; Thomas A Holly; Edward J Miller; Donna M Polk; L Samuel Wann
Journal:  J Nucl Cardiol       Date:  2012-04       Impact factor: 5.952

Review 3.  PET: Is myocardial flow quantification a clinical reality?

Authors:  Antti Saraste; Sami Kajander; Chunlei Han; Sergey V Nesterov; Juhani Knuuti
Journal:  J Nucl Cardiol       Date:  2012-10       Impact factor: 5.952

4.  Intra- and inter-operator repeatability of myocardial blood flow and myocardial flow reserve measurements using rubidium-82 pet and a highly automated analysis program.

Authors:  Ran Klein; Jennifer M Renaud; Maria C Ziadi; Stephanie L Thorn; Andy Adler; Rob S Beanlands; Robert A deKemp
Journal:  J Nucl Cardiol       Date:  2010-04-13       Impact factor: 5.952

Review 5.  The clinical utility of assessing myocardial blood flow using positron emission tomography.

Authors:  Maria Cecilia Ziadi; Rob S B Beanlands
Journal:  J Nucl Cardiol       Date:  2010-08       Impact factor: 5.952

6.  Diagnosis and prognosis of coronary artery disease: PET is superior to SPECT: Con.

Authors:  Manuel D Cerqueira
Journal:  J Nucl Cardiol       Date:  2010-08       Impact factor: 5.952

Review 7.  Quantification of myocardial blood flow and flow reserve: Technical aspects.

Authors:  Ran Klein; Rob S B Beanlands; Robert A deKemp
Journal:  J Nucl Cardiol       Date:  2010-08       Impact factor: 5.952

8.  Quantitative analysis of coronary endothelial function with generator-produced 82Rb PET: comparison with 15O-labelled water PET.

Authors:  Keiichiro Yoshinaga; Osamu Manabe; Chietsugu Katoh; Li Chen; Ran Klein; Masanao Naya; Robert A deKemp; Kathryn Williams; Rob S B Beanlands; Nagara Tamaki
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-07-13       Impact factor: 9.236

9.  Integrated Noninvasive Physiological Assessment of Coronary Circulatory Function and Impact on Cardiovascular Mortality in Patients With Stable Coronary Artery Disease.

Authors:  Ankur Gupta; Viviany R Taqueti; Tim P van de Hoef; Navkaranbir S Bajaj; Paco E Bravo; Venkatesh L Murthy; Michael T Osborne; Sara B Seidelmann; Tomas Vita; Courtney F Bibbo; Meagan Harrington; Jon Hainer; Ornella Rimoldi; Sharmila Dorbala; Deepak L Bhatt; Ron Blankstein; Paolo G Camici; Marcelo F Di Carli
Journal:  Circulation       Date:  2017-09-01       Impact factor: 29.690

10.  Structural and practical identifiability of dual-input kinetic modeling in dynamic PET of liver inflammation.

Authors:  Yang Zuo; Souvik Sarkar; Michael T Corwin; Kristin Olson; Ramsey D Badawi; Guobao Wang
Journal:  Phys Med Biol       Date:  2019-09-05       Impact factor: 3.609

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