Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging the RUBY-10 study

Sergey V. Nesterov; Emmanuel Deshayes; Roberto Sciagrà; Leonardo Settimo; Jerome M. Declerck; Xiao Bo Pan; Keiichiro Yoshinaga; Chietsugu Katoh; Piotr J. Slomka; Guido Germano; Chunlei Han; Ville Aalto; Adam M. Alessio; Edward P. Ficaro; Benjamin C. Lee; Stephan G. Nekolla; Kilem L. Gwet; Robert A. De Kemp; Ran Klein; John Dickson; James A. Case; Timothy Bateman; John O. Prior; Juhani M. Knuuti

doi:10.1016/j.jcmg.2014.08.003

Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging the RUBY-10 study

Sergey V. Nesterov, Emmanuel Deshayes, Roberto Sciagrà, Leonardo Settimo, Jerome M. Declerck, Xiao Bo Pan, Keiichiro Yoshinaga, Chietsugu Katoh, Piotr J. Slomka, Guido Germano, Chunlei Han, Ville Aalto, Adam M. Alessio, Edward P. Ficaro, Benjamin C. Lee, Stephan G. Nekolla, Kilem L. Gwet, Robert A. De Kemp, Ran Klein, John DicksonJames A. Case, Timothy Bateman, John O. Prior, Juhani M. Knuuti

Research output: Contribution to journal › Article › peer-review

150 Scopus citations

Abstract

Objectives The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography (82Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models. Background It is unknown how MBF and MFR values from existing SPs agree for 82Rb PET. Methods Rest and stress 82Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient >0.75 and a difference <20% of the median across all programs. Results The most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF Results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM. Conclusions SPs using the most common kinetic model-OHI-1-TCM-provided consistent Results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.

Original language	English
Pages (from-to)	1119-1127
Number of pages	9
Journal	JACC: Cardiovascular Imaging
Volume	7
Issue number	11
DOIs	https://doi.org/10.1016/j.jcmg.2014.08.003
State	Published - 2014
Externally published	Yes

Keywords

CAD
Imaging software
PET
Reproducibility
Rubidium-82

Access to Document

10.1016/j.jcmg.2014.08.003

Cite this

Nesterov, S. V., Deshayes, E., Sciagrà, R., Settimo, L., Declerck, J. M., Pan, X. B., Yoshinaga, K., Katoh, C., Slomka, P. J., Germano, G., Han, C., Aalto, V., Alessio, A. M., Ficaro, E. P., Lee, B. C., Nekolla, S. G., Gwet, K. L., De Kemp, R. A., Klein, R., ... Knuuti, J. M. (2014). Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging the RUBY-10 study. JACC: Cardiovascular Imaging, 7(11), 1119-1127. https://doi.org/10.1016/j.jcmg.2014.08.003

@article{44ab51dfaa3b4c75919ecca0977dc5ec,

title = "Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging the RUBY-10 study",

abstract = "Objectives The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography (82Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models. Background It is unknown how MBF and MFR values from existing SPs agree for 82Rb PET. Methods Rest and stress 82Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient >0.75 and a difference <20% of the median across all programs. Results The most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF Results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM. Conclusions SPs using the most common kinetic model-OHI-1-TCM-provided consistent Results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.",

keywords = "CAD, Imaging software, PET, Reproducibility, Rubidium-82",

author = "Nesterov, {Sergey V.} and Emmanuel Deshayes and Roberto Sciagr{\`a} and Leonardo Settimo and Declerck, {Jerome M.} and Pan, {Xiao Bo} and Keiichiro Yoshinaga and Chietsugu Katoh and Slomka, {Piotr J.} and Guido Germano and Chunlei Han and Ville Aalto and Alessio, {Adam M.} and Ficaro, {Edward P.} and Lee, {Benjamin C.} and Nekolla, {Stephan G.} and Gwet, {Kilem L.} and {De Kemp}, {Robert A.} and Ran Klein and John Dickson and Case, {James A.} and Timothy Bateman and Prior, {John O.} and Knuuti, {Juhani M.}",

note = "Publisher Copyright: {\textcopyright}2014 by the American College of Cardiology Foundation.",

year = "2014",

doi = "10.1016/j.jcmg.2014.08.003",

language = "English",

volume = "7",

pages = "1119--1127",

journal = "JACC: Cardiovascular Imaging",

issn = "1936-878X",

publisher = "Elsevier Inc.",

number = "11",

}

Nesterov, SV, Deshayes, E, Sciagrà, R, Settimo, L, Declerck, JM, Pan, XB, Yoshinaga, K, Katoh, C, Slomka, PJ, Germano, G, Han, C, Aalto, V, Alessio, AM, Ficaro, EP, Lee, BC, Nekolla, SG, Gwet, KL, De Kemp, RA, Klein, R, Dickson, J, Case, JA, Bateman, T, Prior, JO & Knuuti, JM 2014, 'Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging the RUBY-10 study', JACC: Cardiovascular Imaging, vol. 7, no. 11, pp. 1119-1127. https://doi.org/10.1016/j.jcmg.2014.08.003

TY - JOUR

T1 - Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging the RUBY-10 study

AU - Nesterov, Sergey V.

AU - Deshayes, Emmanuel

AU - Sciagrà, Roberto

AU - Settimo, Leonardo

AU - Declerck, Jerome M.

AU - Pan, Xiao Bo

AU - Yoshinaga, Keiichiro

AU - Katoh, Chietsugu

AU - Slomka, Piotr J.

AU - Germano, Guido

AU - Han, Chunlei

AU - Aalto, Ville

AU - Alessio, Adam M.

AU - Ficaro, Edward P.

AU - Lee, Benjamin C.

AU - Nekolla, Stephan G.

AU - Gwet, Kilem L.

AU - De Kemp, Robert A.

AU - Klein, Ran

AU - Dickson, John

AU - Case, James A.

AU - Bateman, Timothy

AU - Prior, John O.

AU - Knuuti, Juhani M.

PY - 2014

Y1 - 2014

N2 - Objectives The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography (82Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models. Background It is unknown how MBF and MFR values from existing SPs agree for 82Rb PET. Methods Rest and stress 82Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient >0.75 and a difference <20% of the median across all programs. Results The most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF Results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM. Conclusions SPs using the most common kinetic model-OHI-1-TCM-provided consistent Results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.

AB - Objectives The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography (82Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models. Background It is unknown how MBF and MFR values from existing SPs agree for 82Rb PET. Methods Rest and stress 82Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient >0.75 and a difference <20% of the median across all programs. Results The most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF Results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM. Conclusions SPs using the most common kinetic model-OHI-1-TCM-provided consistent Results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.

KW - CAD

KW - Imaging software

KW - PET

KW - Reproducibility

KW - Rubidium-82

UR - http://www.scopus.com/inward/record.url?scp=84922560700&partnerID=8YFLogxK

U2 - 10.1016/j.jcmg.2014.08.003

DO - 10.1016/j.jcmg.2014.08.003

M3 - Article

C2 - 25306543

AN - SCOPUS:84922560700

SN - 1936-878X

VL - 7

SP - 1119

EP - 1127

JO - JACC: Cardiovascular Imaging

JF - JACC: Cardiovascular Imaging

IS - 11

ER -

Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging the RUBY-10 study

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this