Skip to main content
Top
Published in: Journal of Nuclear Cardiology 4/2020

01-08-2020 | Positron Emission Tomography | Editorial

Relative disagreement among different software packages in PET-flow quantitation: An appeal for consistency

Authors: Thomas H. Schindler, MD, PhD, Ines Valenta, MD

Published in: Journal of Nuclear Cardiology | Issue 4/2020

Login to get access

Excerpt

Positron emission tomography (PET) is increasingly applied to assess myocardial perfusion in conjunction with global and regional myocardial blood flow (MBF) quantitation in mL·g·min in patients with suspected and/or known CAD.1,2 While the stress-related regional myocardial perfusion defects commonly identify the “culprit” or the most-advanced CAD lesion in multivessel disease, the hemodynamic significance of less-severe, intermediate CAD lesions with still homogenous radiotracer uptake may be identified by corresponding regional reductions in hyperemic MBF and/or myocardial flow reserve (MFR = MBF-stress/MBF-rest).2,3 In this respect, the concurrent assessment of PET-determined MFR has been appreciated to provide not only the additional diagnostic value, but it carries also important prognostic information in patients with subclinical and clinically manifest CAD.4,5 The reproducibility of such MBF quantitation with PET has been performed mainly in healthy volunteers with and without cardiovascular risk factors.6 These data have convincingly demonstrated that PET-determined serial MBFs during pharmacologic-stimulated hyperemia and at rest can be employed reliably and are reproducible for quantitation of effects of preventive medical intervention, gastric-bypass-induced weight loss, and/or behavioral interventions related to weight, diet, and physical activity on coronary circulatory dysfunction.1,7 Subsequently, the reproducibility of PET-flow studies among different software tools was investigated.811 For example, Slomka et al.8 compared MBF values obtained from three software tools such as QPET, syngo MBF, and PMOD in individuals with or without obstructive CAD. And indeed, the global and regional MBF and MFR values did closely correlate between the three software packages (correlation coefficient r2 for global values ranging from 0.88 to 0.92 and for regional values from 0.78 to 0.94, respectively), which was reflected by similar mean MFR values (QPET: 3.39 ± 1.22, Syngo MBF: 3.41 ± 0.76, and PMOD: 3.66 ± 1.19, respectively). …
Literature
1.
go back to reference Schindler TH, Schelbert HR, Quercioli A, Dilsizian V. Cardiac PET imaging for the detection and monitoring of coronary artery disease and microvascular health. JACC Cardiovasc Imaging 2010;3:623-40.CrossRef Schindler TH, Schelbert HR, Quercioli A, Dilsizian V. Cardiac PET imaging for the detection and monitoring of coronary artery disease and microvascular health. JACC Cardiovasc Imaging 2010;3:623-40.CrossRef
2.
go back to reference Schindler TH. Myocardial blood flow: Putting it into clinical perspective. J Nucl Cardiol 2016;23:105671.CrossRef Schindler TH. Myocardial blood flow: Putting it into clinical perspective. J Nucl Cardiol 2016;23:105671.CrossRef
3.
go back to reference Gould KL, Johnson NP, Bateman TM, Beanlands RS, Bengel FM, Bober R, et al. Anatomic versus physiologic assessment of coronary artery disease. Role of coronary flow reserve, fractional flow reserve, and positron emission tomography imaging in revascularization decision-making. J Am Coll Cardiol 2013;62:1639-53.CrossRef Gould KL, Johnson NP, Bateman TM, Beanlands RS, Bengel FM, Bober R, et al. Anatomic versus physiologic assessment of coronary artery disease. Role of coronary flow reserve, fractional flow reserve, and positron emission tomography imaging in revascularization decision-making. J Am Coll Cardiol 2013;62:1639-53.CrossRef
4.
go back to reference Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, et al. Clinical quantification of myocardial blood flow using PET: Joint position paper of the SNMMI cardiovascular council and the ASNC. J Nucl Cardiol 2018;25:269-97.CrossRef Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, et al. Clinical quantification of myocardial blood flow using PET: Joint position paper of the SNMMI cardiovascular council and the ASNC. J Nucl Cardiol 2018;25:269-97.CrossRef
5.
go back to reference Lu DY, Yalcin H, Yalcin F, Zhao M, Sivalokanathan S, Valenta I, et al. Stress myocardial blood flow heterogeneity is a positron emission tomography biomarker of ventricular arrhythmias in patients with hypertrophic cardiomyopathy. Am J Cardiol 2018;121:1081-9.CrossRef Lu DY, Yalcin H, Yalcin F, Zhao M, Sivalokanathan S, Valenta I, et al. Stress myocardial blood flow heterogeneity is a positron emission tomography biomarker of ventricular arrhythmias in patients with hypertrophic cardiomyopathy. Am J Cardiol 2018;121:1081-9.CrossRef
6.
go back to reference Schindler TH, Zhang XL, Prior JO, Cadenas J, Dahlbom M, Sayre J, et al. Assessment of intra- and interobserver reproducibility of rest and cold pressor test-stimulated myocardial blood flow with (13)N-ammonia and PET. Eur J Nucl Med Mol Imaging 2007;34:1178-88.CrossRef Schindler TH, Zhang XL, Prior JO, Cadenas J, Dahlbom M, Sayre J, et al. Assessment of intra- and interobserver reproducibility of rest and cold pressor test-stimulated myocardial blood flow with (13)N-ammonia and PET. Eur J Nucl Med Mol Imaging 2007;34:1178-88.CrossRef
7.
go back to reference Quercioli A, Montecucco F, Pataky Z, Thomas A, Ambrosio G, Staub C, et al. Improvement in coronary circulatory function in morbidly obese individuals after gastric bypass-induced weight loss: Relation to alterations in endocannabinoids and adipocytokines. Eur Heart J 2013;34:2063-73.CrossRef Quercioli A, Montecucco F, Pataky Z, Thomas A, Ambrosio G, Staub C, et al. Improvement in coronary circulatory function in morbidly obese individuals after gastric bypass-induced weight loss: Relation to alterations in endocannabinoids and adipocytokines. Eur Heart J 2013;34:2063-73.CrossRef
8.
go back to reference Slomka PJ, Alexanderson E, Jacome R, Jimenez M, Romero E, Meave A, et al. Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13N-ammonia PET/CT. J Nucl Med 2012;53:171-81.CrossRef Slomka PJ, Alexanderson E, Jacome R, Jimenez M, Romero E, Meave A, et al. Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13N-ammonia PET/CT. J Nucl Med 2012;53:171-81.CrossRef
9.
go back to reference Dunet V, Klein R, Allenbach G, Renaud J, deKemp RA, Prior JO. Myocardial blood flow quantification by Rb-82 cardiac PET/CT: A detailed reproducibility study between two semi-automatic analysis programs. J Nucl Cardiol 2016;23:499-510.CrossRef Dunet V, Klein R, Allenbach G, Renaud J, deKemp RA, Prior JO. Myocardial blood flow quantification by Rb-82 cardiac PET/CT: A detailed reproducibility study between two semi-automatic analysis programs. J Nucl Cardiol 2016;23:499-510.CrossRef
10.
go back to reference Dekemp RA, Declerck J, Klein R, Pan XB, Nakazato R, Tonge C, et al. Multisoftware reproducibility study of stress and rest myocardial blood flow assessed with 3D dynamic PET/CT and a 1-tissue-compartment model of 82Rb kinetics. J Nucl Med 2013;54:571-7.CrossRef Dekemp RA, Declerck J, Klein R, Pan XB, Nakazato R, Tonge C, et al. Multisoftware reproducibility study of stress and rest myocardial blood flow assessed with 3D dynamic PET/CT and a 1-tissue-compartment model of 82Rb kinetics. J Nucl Med 2013;54:571-7.CrossRef
11.
go back to reference Nesterov SV, Deshayes E, Sciagra R, Settimo L, Declerck JM, Pan XB, et al. Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: The RUBY-10 Study. JACC Cardiovasc Imaging 2014;7:1119-27.CrossRef Nesterov SV, Deshayes E, Sciagra R, Settimo L, Declerck JM, Pan XB, et al. Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: The RUBY-10 Study. JACC Cardiovasc Imaging 2014;7:1119-27.CrossRef
12.
go back to reference Monroy-Gonzalez A, Juarez-Orozco LE, Han C, Vedder I, Vallez Garcia D, Borra R, et al. Software reproducibility of myocardial blood flow and flow reserve quantification in ischemic heart disease: A 13N-ammonia PET study. J Nucl Cardiol 2019: in press. Monroy-Gonzalez A, Juarez-Orozco LE, Han C, Vedder I, Vallez Garcia D, Borra R, et al. Software reproducibility of myocardial blood flow and flow reserve quantification in ischemic heart disease: A 13N-ammonia PET study. J Nucl Cardiol 2019: in press.
13.
go back to reference Sunderland JJ, Pan XB, Declerck J, Menda Y. Dependency of cardiac rubidium-82 imaging quantitative measures on age, gender, vascular territory, and software in a cardiovascular normal population. J Nucl Cardiol 2015;22:72-84.CrossRef Sunderland JJ, Pan XB, Declerck J, Menda Y. Dependency of cardiac rubidium-82 imaging quantitative measures on age, gender, vascular territory, and software in a cardiovascular normal population. J Nucl Cardiol 2015;22:72-84.CrossRef
14.
go back to reference Harms HJ, Nesterov SV, Han C, Danad I, Leonora R, Raijmakers PG, et al. Comparison of clinical non-commercial tools for automated quantification of myocardial blood flow using oxygen-15-labelled water PET/CT. Eur Heart J Cardiovasc Imaging 2014;15:431-41.CrossRef Harms HJ, Nesterov SV, Han C, Danad I, Leonora R, Raijmakers PG, et al. Comparison of clinical non-commercial tools for automated quantification of myocardial blood flow using oxygen-15-labelled water PET/CT. Eur Heart J Cardiovasc Imaging 2014;15:431-41.CrossRef
15.
go back to reference Schindler TH, Dilsizian V. PET-determined hyperemic myocardial blood flow: Further progress to clinical application. J Am Coll Cardiol 2014;64:1476-8.CrossRef Schindler TH, Dilsizian V. PET-determined hyperemic myocardial blood flow: Further progress to clinical application. J Am Coll Cardiol 2014;64:1476-8.CrossRef
16.
go back to reference Morton G, Chiribiri A, Ishida M, Hussain ST, Schuster A, Indermuehle A, et al. Quantification of absolute myocardial perfusion in patients with coronary artery disease: Comparison between cardiovascular magnetic resonance and positron emission tomography. J Am Coll Cardiol 2012;60:1546-55.CrossRef Morton G, Chiribiri A, Ishida M, Hussain ST, Schuster A, Indermuehle A, et al. Quantification of absolute myocardial perfusion in patients with coronary artery disease: Comparison between cardiovascular magnetic resonance and positron emission tomography. J Am Coll Cardiol 2012;60:1546-55.CrossRef
19.
go back to reference Quercioli A, Pataky Z, Vincenti G, Makoundou V, Di Marzo V, Montecucco F, et al. Elevated endocannabinoid plasma levels are associated with coronary circulatory dysfunction in obesity. Eur Heart J 2011;32:1369-78.CrossRef Quercioli A, Pataky Z, Vincenti G, Makoundou V, Di Marzo V, Montecucco F, et al. Elevated endocannabinoid plasma levels are associated with coronary circulatory dysfunction in obesity. Eur Heart J 2011;32:1369-78.CrossRef
20.
go back to reference Valenta I, Quercioli A, Schindler TH. Diagnostic value of PET-measured longitudinal flow gradient for the identification of coronary artery disease. JACC Cardiovasc Imaging 2014;7:387-96.CrossRef Valenta I, Quercioli A, Schindler TH. Diagnostic value of PET-measured longitudinal flow gradient for the identification of coronary artery disease. JACC Cardiovasc Imaging 2014;7:387-96.CrossRef
Metadata
Title
Relative disagreement among different software packages in PET-flow quantitation: An appeal for consistency
Authors
Thomas H. Schindler, MD, PhD
Ines Valenta, MD
Publication date
01-08-2020
Publisher
Springer International Publishing
Published in
Journal of Nuclear Cardiology / Issue 4/2020
Print ISSN: 1071-3581
Electronic ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-019-01633-y

Other articles of this Issue 4/2020

Journal of Nuclear Cardiology 4/2020 Go to the issue