Literature DB >> 27539843

Characterization of 3-Dimensional PET Systems for Accurate Quantification of Myocardial Blood Flow.

Jennifer M Renaud1, Kathy Yip2, Jean Guimond3, Mikaël Trottier3, Philippe Pibarot3, Eric Turcotte4, Conor Maguire5, Lucille Lalonde5, Karen Gulenchyn6, Troy Farncombe6, Gerald Wisenberg7, Jonathan Moody8, Benjamin Lee8, Steven C Port9, Timothy G Turkington10, Rob S Beanlands1, Robert A deKemp11.   

Abstract

Three-dimensional (3D) mode imaging is the current standard for PET/CT systems. Dynamic imaging for quantification of myocardial blood flow with short-lived tracers, such as 82Rb-chloride, requires accuracy to be maintained over a wide range of isotope activities and scanner counting rates. We proposed new performance standard measurements to characterize the dynamic range of PET systems for accurate quantitative imaging.
METHODS: 82Rb or 13N-ammonia (1,100-3,000 MBq) was injected into the heart wall insert of an anthropomorphic torso phantom. A decaying isotope scan was obtained over 5 half-lives on 9 different 3D PET/CT systems and 1 3D/2-dimensional PET-only system. Dynamic images (28 × 15 s) were reconstructed using iterative algorithms with all corrections enabled. Dynamic range was defined as the maximum activity in the myocardial wall with less than 10% bias, from which corresponding dead-time, counting rates, and/or injected activity limits were established for each scanner. Scatter correction residual bias was estimated as the maximum cavity blood-to-myocardium activity ratio. Image quality was assessed via the coefficient of variation measuring nonuniformity of the left ventricular myocardium activity distribution.
RESULTS: Maximum recommended injected activity/body weight, peak dead-time correction factor, counting rates, and residual scatter bias for accurate cardiac myocardial blood flow imaging were 3-14 MBq/kg, 1.5-4.0, 22-64 Mcps singles and 4-14 Mcps prompt coincidence counting rates, and 2%-10% on the investigated scanners. Nonuniformity of the myocardial activity distribution varied from 3% to 16%.
CONCLUSION: Accurate dynamic imaging is possible on the 10 3D PET systems if the maximum injected MBq/kg values are respected to limit peak dead-time losses during the bolus first-pass transit.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  82Rb; cardiac positron emission tomography; dynamic range

Mesh:

Substances:

Year:  2016        PMID: 27539843     DOI: 10.2967/jnumed.116.174565

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


  22 in total

1.  The utility of 82Rb PET for myocardial viability assessment: Comparison with perfusion-metabolism 82Rb-18F-FDG PET.

Authors:  Jonathan B Moody; Keri M Hiller; Benjamin C Lee; Alexis Poitrasson-Rivière; James R Corbett; Richard L Weinberg; Venkatesh L Murthy; Edward P Ficaro
Journal:  J Nucl Cardiol       Date:  2019-02-26       Impact factor: 5.952

2.  Time-frame sampling for 82Rb PET flow quantification: Towards standardization of clinical protocols.

Authors:  Ran Klein; Adrian Ocneanu; Robert A deKemp
Journal:  J Nucl Cardiol       Date:  2017-07-07       Impact factor: 5.952

3.  Reporting myocardial flow reserve with PET. Ready or not, here it is! But walk before you fly!

Authors:  Daniel Juneau; Robert A deKemp; Rob S B Beanlands
Journal:  J Nucl Cardiol       Date:  2017-10-20       Impact factor: 5.952

4.  Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC.

Authors:  Venkatesh L Murthy; Timothy M Bateman; Rob S Beanlands; Daniel S Berman; Salvador Borges-Neto; Panithaya Chareonthaitawee; Manuel D Cerqueira; Robert A deKemp; E Gordon DePuey; Vasken Dilsizian; Sharmila Dorbala; Edward P Ficaro; Ernest V Garcia; Henry Gewirtz; Gary V Heller; Howard C Lewin; Saurabh Malhotra; April Mann; Terrence D Ruddy; Thomas H Schindler; Ronald G Schwartz; Piotr J Slomka; Prem Soman; Marcelo F Di Carli; Andrew Einstein; Raymond Russell; James R Corbett
Journal:  J Nucl Cardiol       Date:  2018-02       Impact factor: 5.952

5.  Lost in quantification…: The influence of different software packages on flow quantification measures.

Authors:  C Rischpler; S G Nekolla
Journal:  J Nucl Cardiol       Date:  2018-01-16       Impact factor: 5.952

6.  Comparison of maximal Rubidium-82 activities for myocardial blood flow quantification between digital and conventional PET systems.

Authors:  Joris D van Dijk; Pieter L Jager; Jochen A C van Osch; Maryam Khodaverdi; Jorn A van Dalen
Journal:  J Nucl Cardiol       Date:  2018-01-16       Impact factor: 5.952

7.  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

8.  Deriving myocardial blood flow reserve from perfusion datasets: Dream or reality?

Authors:  Alexis Poitrasson-Rivière; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2021-01-13       Impact factor: 5.952

9.  Internal validation of myocardial flow reserve PET imaging using stress/rest myocardial activity ratios with Rb-82 and N-13-ammonia.

Authors:  Daniel Juneau; Kai Yi Wu; Nicole Kaps; Jason Yao; Jennifer M Renaud; Rob S B Beanlands; Terrence D Ruddy; Robert A deKemp
Journal:  J Nucl Cardiol       Date:  2021-01-03       Impact factor: 5.952

10.  (82)Rb PET imaging of myocardial blood flow-have we achieved the 4 "R"s to support routine use?

Authors:  Robert A deKemp; Ran Klein; Rob S B Beanlands
Journal:  EJNMMI Res       Date:  2016-09-20       Impact factor: 3.138

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