Literature DB >> 25294436

Dependency of cardiac rubidium-82 imaging quantitative measures on age, gender, vascular territory, and software in a cardiovascular normal population.

John J Sunderland1, Xiao-Bo Pan, Jerome Declerck, Yusuf Menda.   

Abstract

OBJECTIVES: Recent technological improvements to PET imaging equipment combined with the availability of software optimized to calculate regional myocardial blood flow (MBF) and myocardial flow reserve (MFR) create a paradigm shifting opportunity to provide new clinically relevant quantitative information to cardiologists. However, clinical interpretation of the MBF and MFR is entirely dependent upon knowledge of MBF and MFR values in normal populations and subpopulations. This work reports Rb-82-based MBF and MFR measurements for a series of 49 verified cardiovascularly normal subjects as a preliminary baseline for future clinical studies.
METHODS: Forty-nine subjects (24F/25M, ages 41-69) with low probability for coronary artery disease and with normal exercise stress test were included. These subjects underwent rest/dipyridamole stress Rb-82 myocardial perfusion imaging using standard clinical techniques (40 mCi injection, 6-minute acquisition) using a Siemens Biograph 40 PET/CT scanner with high count rate detector option. List mode data was rehistogrammed into 26 dynamic frames (12 × 5 seconds, 6 × 10 seconds, 4 × 20 seconds, 4 × 40 seconds). Cardiac images were processed, and MBF and MFR calculated using Siemens syngo MBF, PMOD, and FlowQuant software using a single compartment Rb-82 model.
RESULTS: Global myocardial blood flow under pharmacological stress for the 24 females as measured by PMOD, syngo MBF, and FlowQuant were 3.10 ± 0.72, 2.80 ± 0.66, and 2.60 ± 0.63 mL·minute(-1)·g(-1), and for the 25 males was 2.60 ± 0.84, 2.33 ± 0.75, 2.15 ± 0.62 mL·minute(-1)·g(-1), respectively. Rest flows for PMOD, syngo MBF, and FlowQuant averaged 1.32 ± 0.42, 1.20 ± 0.33, and 1.06 ± 0.38 mL·minute(-1)·g(-1) for the female subjects, and 1.12 ± 0.29, 0.90 ± 0.26, and 0.85 ± 0.24 mL·minute(-1)·g(-1) for the males. Myocardial flow reserves for PMOD, syngo MBF, and FlowQuant for the female normals were calculated to be 2.50 ± 0.80, 2.53 ± 0.67, 2.71 ± 0.90, and 2.50 ± 1.19, 2.85 ± 1.19, 2.94 ± 1.31 mL·minute(-1)·g(-1) for males.
CONCLUSION: Quantitative normal MBF and MFR values averaged for age and sex have been compiled for three commercial pharmacokinetic software packages. The current collection of data consisting of 49 subjects resulted in several statistically significant conclusions that support the need for a software specific, age, and sex-matched database to aid in interpretation of quantitative clinical myocardial perfusion studies.

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Year:  2014        PMID: 25294436     DOI: 10.1007/s12350-014-9920-6

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  29 in total

Review 1.  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

Review 2.  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

3.  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

4.  Cardiac PET/CT misregistration causes significant changes in estimated myocardial blood flow.

Authors:  Mahadevan Rajaram; Abdel K Tahari; Andy H Lee; Martin A Lodge; Benjamin Tsui; Stephan Nekolla; Richard L Wahl; Frank M Bengel; Paco E Bravo
Journal:  J Nucl Med       Date:  2012-10-22       Impact factor: 10.057

5.  Quantification of myocardial blood flow with 82Rb positron emission tomography: clinical validation with 15O-water.

Authors:  John O Prior; Gilles Allenbach; Ines Valenta; Marek Kosinski; Cyrill Burger; Francis R Verdun; Angelika Bischof Delaloye; Philipp A Kaufmann
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-03-08       Impact factor: 9.236

6.  In vivo quantitation of regional myocardial blood flow by positron-emission computed tomography.

Authors:  G Wisenberg; H R Schelbert; E J Hoffman; M E Phelps; G D Robinson; C E Selin; J Child; D Skorton; D E Kuhl
Journal:  Circulation       Date:  1981-06       Impact factor: 29.690

7.  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

8.  Prompt-gamma compensation in Rb-82 myocardial perfusion 3D PET/CT.

Authors:  Fabio P Esteves; Jonathan A Nye; Akbar Khan; Russell D Folks; Raghuveer K Halkar; Ernest V Garcia; David M Schuster; Stamatios Lerakis; Paolo Raggi; John R Votaw
Journal:  J Nucl Cardiol       Date:  2009-11-24       Impact factor: 5.952

9.  Quantification of myocardial blood flow with 82Rb dynamic PET imaging.

Authors:  Mireille Lortie; Rob S B Beanlands; Keiichiro Yoshinaga; Ran Klein; Jean N Dasilva; Robert A DeKemp
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-07-07       Impact factor: 9.236

10.  Repeatability of regional myocardial blood flow calculation in 82Rb PET imaging.

Authors:  Karin Knešaurek; Josef Machac; Zhuangyu Zhang
Journal:  BMC Med Phys       Date:  2009-01-29
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  8 in total

Review 1.  Clinical use of quantitative cardiac perfusion PET: rationale, modalities and possible indications. Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM).

Authors:  Roberto Sciagrà; Alessandro Passeri; Jan Bucerius; Hein J Verberne; Riemer H J A Slart; Oliver Lindner; Alessia Gimelli; Fabien Hyafil; Denis Agostini; Christopher Übleis; Marcus Hacker
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-02-05       Impact factor: 9.236

2.  Feasibility of dynamic stress 201Tl/rest 99mTc-tetrofosmin single photon emission computed tomography for quantification of myocardial perfusion reserve in patients with stable coronary artery disease.

Authors:  Sangwon Han; Young-Hak Kim; Jung-Min Ahn; Soo-Jin Kang; Jungsu S Oh; Eonwoo Shin; Changhwan Sung; Sun Young Chae; Seung-Jung Park; Gillan Grimberg; Gil Kovalski; Dae Hyuk Moon
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-06-02       Impact factor: 9.236

Review 3.  Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective.

Authors:  Jonathan B Moody; Benjamin C Lee; James R Corbett; Edward P Ficaro; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2015-04-14       Impact factor: 5.952

4.  Variability in normal myocardial blood flow measurements: physiologic, methodologic, or protocol related?

Authors:  Timothy M Bateman; James A Case
Journal:  J Nucl Cardiol       Date:  2014-10-24       Impact factor: 5.952

5.  Measurement of MBF by PET is ready for prime time as an integral part of clinical reports in diagnosis and risk assessment of patients with known or suspected CAD : For prime time not yet: Need impact and certainty.

Authors:  Heinrich Schelbert
Journal:  J Nucl Cardiol       Date:  2017-04-10       Impact factor: 5.952

6.  Myocardial blood flow quantification by Rb-82 cardiac PET/CT: A detailed reproducibility study between two semi-automatic analysis programs.

Authors:  Vincent Dunet; Ran Klein; Gilles Allenbach; Jennifer Renaud; Robert A deKemp; John O Prior
Journal:  J Nucl Cardiol       Date:  2015-05-21       Impact factor: 5.952

7.  EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging.

Authors:  Roberto Sciagrà; Mark Lubberink; Fabien Hyafil; Antti Saraste; Riemer H J A Slart; Denis Agostini; Carmela Nappi; Panagiotis Georgoulias; Jan Bucerius; Christoph Rischpler; Hein J Verberne
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-11-02       Impact factor: 9.236

8.  Knowledge of Hyperemic Myocardial Blood Flow in Healthy Subjects Helps Identify Myocardial Ischemia in Patients With Coronary Artery Disease.

Authors:  Lijuan Lyu; Jichen Pan; Dumin Li; Xinhao Li; Wei Yang; Mei Dong; Chenghu Guo; Peixin Lin; Yeming Han; Yongfeng Liang; Junyan Sun; Dexin Yu; Pengfei Zhang; Mei Zhang
Journal:  Front Cardiovasc Med       Date:  2022-02-03
  8 in total

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