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Published in: Journal of Nuclear Cardiology 5/2020

01-10-2020 | Original Article

Vessel-specific quantification of absolute myocardial blood flow, myocardial flow reserve and relative flow reserve by means of fused dynamic 13NH3 PET and CCTA: Ranges in a low-risk population and abnormality criteria

Authors: Marina Piccinelli, PhD, Sang-Geon Cho, MD, Ernest V. Garcia, PhD, Erick Alexanderson, MD, Joo Myung Lee, MD, PhD, C. David Cooke, MSEE, Nikhil Goyal, MD, Mauricio Santos Sanchez, MSEE, Russel D. Folks, MSEE, Zhengjia Chen, PhD, John Votaw, PhD, Bon-Kwon Koo, MD, PhD, Hee-Seung Bom, MD, PhD

Published in: Journal of Nuclear Cardiology | Issue 5/2020

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Abstract

Objectives

The goal of the present work is to present a novel methodology for the extraction of MBF, MFR and RFR along coronary arteries by means of multimodality image fusion of dynamic PET and CCTA images.

Background

FFR is the reference standard to identify flow-limiting lesions, but its invasiveness limits broad application. New noninvasive methodologies are warranted to stratify patients and guide treatment.

Methods

A group of 16 low-risk CAD subjects who underwent both 13NH3 PET and CCTA were analyzed. Image fusion techniques were employed to align the studies and CCTA-derived anatomy used to identify coronaries trajectories. MBF was calculated by means of a 1-tissue compartmental model for the standard vascular territories and along patient-specific vessel paths from the base to the apex of the heart.

Results

Low-risk ranges for MBF. MFR and RFR for LAD, LCX and rPDA were computed for the entire cohort and separated by gender. Computed low-risk ranges were used to assess a prospective patient with suspected CAD.

Conclusions

Our vessel-specific functional indexes and 3D displays offer promise to more closely replicate what is commonly performed during a catheterization session and have the potential of providing effective noninvasive tools for the identification of flow-limiting lesions and image-guided therapy.
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Literature
1.
go back to reference de Bruyne B, Pijls NHJ, Kalesan B, et al. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med 2012;367:991-1001.CrossRefPubMed de Bruyne B, Pijls NHJ, Kalesan B, et al. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med 2012;367:991-1001.CrossRefPubMed
2.
go back to reference De Bruyne B, Sarma J. Fractional flow reserve: A review. Heart 2008;94:949-59.CrossRef De Bruyne B, Sarma J. Fractional flow reserve: A review. Heart 2008;94:949-59.CrossRef
3.
go back to reference Schindler TH, Schelbert HR, Quercioli A, et al. 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, et al. Cardiac PET imaging for the detection and monitoring of coronary artery disease and microvascular health. JACC Cardiovasc Imaging 2010;3:623-40.CrossRef
4.
go back to reference Stuijfzand WJ, Valtteri U, Kero T, et al. Relative flow reserve derived from quantitative perfusion imaging may not outperform stress myocardial blood flow for identification of hemodynamically significant coronary artery disease. Circ Cardiovasc Imaging 2015;8:e002400.CrossRef Stuijfzand WJ, Valtteri U, Kero T, et al. Relative flow reserve derived from quantitative perfusion imaging may not outperform stress myocardial blood flow for identification of hemodynamically significant coronary artery disease. Circ Cardiovasc Imaging 2015;8:e002400.CrossRef
6.
go back to reference Johnson NP, Gould KL. Fractional flow reserve returns to its origin. Circ Cardiovasc Imaging 2016;9:e005435.CrossRef Johnson NP, Gould KL. Fractional flow reserve returns to its origin. Circ Cardiovasc Imaging 2016;9:e005435.CrossRef
8.
go back to reference Liga R, Vontobel J, Rovai D, et al. Multicenter multi-device hybrid imaging study of coronary artery disease: results from the Evaluation on Integrated Cardiac Imaging for the detection and characterization of ischemic heart disease (EVINCI) hybrid imaging population. Eur Heart J 2016;17:951-60. Liga R, Vontobel J, Rovai D, et al. Multicenter multi-device hybrid imaging study of coronary artery disease: results from the Evaluation on Integrated Cardiac Imaging for the detection and characterization of ischemic heart disease (EVINCI) hybrid imaging population. Eur Heart J 2016;17:951-60.
9.
go back to reference Cury R, Abbara S, Achenbach S, et al. CAD-RADS coronary artery disease—Reporting and Data System. J Am Coll Radiol 2016;13:1458-66.CrossRefPubMed Cury R, Abbara S, Achenbach S, et al. CAD-RADS coronary artery disease—Reporting and Data System. J Am Coll Radiol 2016;13:1458-66.CrossRefPubMed
10.
go back to reference Garcia EV, Faber TL, Cooke CD, et al. The increasing role of quantification in clinical nuclear cardiology: The Emory approach. J Nucl Cardiol 2007;14:420-32.CrossRefPubMed Garcia EV, Faber TL, Cooke CD, et al. The increasing role of quantification in clinical nuclear cardiology: The Emory approach. J Nucl Cardiol 2007;14:420-32.CrossRefPubMed
11.
go back to reference Sdrigola S, Johnson NP, Kirkeeide EC, et al. Impact of unexpected factors on quantitative myocardial perfusion and coronary flow reserve in young, asymptomatic volunteers. JACC Cardiovasc Imaging 2011;4:402-12.CrossRef Sdrigola S, Johnson NP, Kirkeeide EC, et al. Impact of unexpected factors on quantitative myocardial perfusion and coronary flow reserve in young, asymptomatic volunteers. JACC Cardiovasc Imaging 2011;4:402-12.CrossRef
12.
go back to reference Gould KL, Nakagawa Y, Nakagawa K, et al. Frequency and clinical implications of fluid dynamically significant diffuse coronary artery disease manifest as graded, longitudinal, base-to-apex myocardial perfusion abnormalities by noninvasive positron emission tomography. Circulation 2000;101:1931-9.CrossRefPubMed Gould KL, Nakagawa Y, Nakagawa K, et al. Frequency and clinical implications of fluid dynamically significant diffuse coronary artery disease manifest as graded, longitudinal, base-to-apex myocardial perfusion abnormalities by noninvasive positron emission tomography. Circulation 2000;101:1931-9.CrossRefPubMed
13.
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(4):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(4):387-96.CrossRef
14.
go back to reference Pereztol-Valdes O, Candell-Riera J, Santana-Boado C, et al. Correspondence between left ventricular myocardial 17 segments and coronary arteries. Eur Heart J 2005;26:2637-43.CrossRefPubMed Pereztol-Valdes O, Candell-Riera J, Santana-Boado C, et al. Correspondence between left ventricular myocardial 17 segments and coronary arteries. Eur Heart J 2005;26:2637-43.CrossRefPubMed
15.
go back to reference Kajander S, Joutsiniemi E, Saraste M, et al. Cardiac positron emission tomography/computed tomography imaging accurately detects anatomically and functionally significant coronary artery disease. Circulation 2010;122:603-13.CrossRefPubMed Kajander S, Joutsiniemi E, Saraste M, et al. Cardiac positron emission tomography/computed tomography imaging accurately detects anatomically and functionally significant coronary artery disease. Circulation 2010;122:603-13.CrossRefPubMed
16.
go back to reference Murthy VL, Bateman TM, Beanlands RS, 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.CrossRefPubMed Murthy VL, Bateman TM, Beanlands RS, 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.CrossRefPubMed
17.
go back to reference Bernacki GM, Bahrainy S, Caldwell JH, et al. Assessment of the Effects of Age, Gender, and Exercise Training on the Cardiac Sympathetic Nervous System Using Positron Emission Tomography Imaging. J Gerontol A Biol Sci Med Sci 2016;71:1195-201.CrossRefPubMed Bernacki GM, Bahrainy S, Caldwell JH, et al. Assessment of the Effects of Age, Gender, and Exercise Training on the Cardiac Sympathetic Nervous System Using Positron Emission Tomography Imaging. J Gerontol A Biol Sci Med Sci 2016;71:1195-201.CrossRefPubMed
18.
go back to reference Piccinelli M, Faber TL, Arepalli CD, Appia V, Vinten-Johansen J, Schmarkey SL, Folks RD, Garcia EV, Yezzi A. Automatic detection of left and right ventricles from CTA enables efficient alignment of anatomy with myocardial perfusion data. J Nucl Cardiol 2013;21:96-108.CrossRefPubMed Piccinelli M, Faber TL, Arepalli CD, Appia V, Vinten-Johansen J, Schmarkey SL, Folks RD, Garcia EV, Yezzi A. Automatic detection of left and right ventricles from CTA enables efficient alignment of anatomy with myocardial perfusion data. J Nucl Cardiol 2013;21:96-108.CrossRefPubMed
19.
go back to reference Li H, Yezzi A. Vessels as 4-D curves: global minimal 4-D paths to extract 3-D tubular surfaces and centerlines. IEEE Trans Med Imag 2007;26:1213-23.CrossRef Li H, Yezzi A. Vessels as 4-D curves: global minimal 4-D paths to extract 3-D tubular surfaces and centerlines. IEEE Trans Med Imag 2007;26:1213-23.CrossRef
Metadata
Title
Vessel-specific quantification of absolute myocardial blood flow, myocardial flow reserve and relative flow reserve by means of fused dynamic 13NH3 PET and CCTA: Ranges in a low-risk population and abnormality criteria
Authors
Marina Piccinelli, PhD
Sang-Geon Cho, MD
Ernest V. Garcia, PhD
Erick Alexanderson, MD
Joo Myung Lee, MD, PhD
C. David Cooke, MSEE
Nikhil Goyal, MD
Mauricio Santos Sanchez, MSEE
Russel D. Folks, MSEE
Zhengjia Chen, PhD
John Votaw, PhD
Bon-Kwon Koo, MD, PhD
Hee-Seung Bom, MD, PhD
Publication date
01-10-2020
Publisher
Springer International Publishing
Published in
Journal of Nuclear Cardiology / Issue 5/2020
Print ISSN: 1071-3581
Electronic ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-018-01472-3

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