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Wang P, Ren C, Wang L, Qian H, Li F, Su X, Shen Z, Hsu B, Huo L. Comparative evaluation of a novel [ 18F] F-Labeled PET tracer XTR004 against [ 13N] ammonia in myocardial perfusion imaging for coronary artery disease. Eur J Nucl Med Mol Imaging 2025; 52:1864-1877. [PMID: 39681776 DOI: 10.1007/s00259-024-07004-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 11/24/2024] [Indexed: 12/18/2024]
Abstract
AIMS This study aimed to evaluate image quality, myocardial perfusion, and diagnostic performance of a novel [18F]F-labeled PET tracer, XTR004 PET, myocardial perfusion imaging (MPI) compared with [13N]Ammonia (NH3) PET MPI. METHODS AND RESULTS Forty-seven patients with suspected or known coronary artery disease (CAD) were prospectively enrolled to undergo one-day rest/ATP-stress XTR004 and NH3 electrocardiograph-gated PET imaging within 2 weeks. Among them, twenty-six patients underwent invasive coronary angiography (ICA), and nineteen were identified with flow-limited CAD (stenosis ≥ 70%). Image quality (excellent/good/average) and certainty of interpretation were evaluated by two independent, blinded readers. Despite a higher liver uptake, XTR004 achieved good to excellent image quality in 83% of cases, comparable to 95.7% of NH3(P = 0.091). Additionally, the diagnostic certainty, measured as the percentage of cases with definitely abnormal or normal interpretations, was similar between XTR004 and NH3, with results of 87.2% and 89.2%, respectively. The sensitivity and specificity levels of XTR004 and NH3 MPI were similar (79% vs. 79%, 86% vs. 71%, P = 1.00). Linear regression of rest/stress myocardial perfusion in 17 segments revealed the linear slope close to unity with excellent R2 value (rest: slope = 0.954-1.074, R2 = 0.990-0.997; stress: slope = 0.951-1.082, R2 = 0.971-0.996). XTR004 was tolerated well by all patients. No adverse events were reported. CONCLUSION XTR004 PET MPI demonstrated promising image quality, diagnostic certainty and myocardial perfusion characteristics comparable to NH3 PET MPI. Future research should concentrate on the quantitative analysis of myocardial blood flow to explore the clinical implications of XTR004 PET MPI.
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Affiliation(s)
- Peipei Wang
- Department of Nuclear Medicine, Peking Union Medical College Hospital. Chinese Academy of Medical Science & Peking Union Medical College, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
- Department of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chao Ren
- Department of Nuclear Medicine, Peking Union Medical College Hospital. Chinese Academy of Medical Science & Peking Union Medical College, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Liang Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Hao Qian
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Fang Li
- Department of Nuclear Medicine, Peking Union Medical College Hospital. Chinese Academy of Medical Science & Peking Union Medical College, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Xinhui Su
- Department of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhujun Shen
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Bailing Hsu
- Nuclear Science and Engineering Institute, E2433 Lafferre Hall, University of Missouri-Columbia, University of Missouri-Columbia, Columbia, MO, 65211, USA.
| | - Li Huo
- Department of Nuclear Medicine, Peking Union Medical College Hospital. Chinese Academy of Medical Science & Peking Union Medical College, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
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Packard RRS, deKemp RA, Knuuti J, Moody JB, Renaud JM, Saraste A, Slomka PJ. Quantitative approaches to 18F-flurpiridaz positron emission tomography image analysis. J Nucl Cardiol 2025; 45S:102180. [PMID: 40155243 DOI: 10.1016/j.nuclcard.2025.102180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2025] [Revised: 03/06/2025] [Accepted: 03/06/2025] [Indexed: 04/01/2025]
Affiliation(s)
- René R Sevag Packard
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
| | - Robert A deKemp
- Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, and Turku University Hospital, Turku, Finland
| | | | | | - Antti Saraste
- Heart Center, University of Turku and Turku University Hospital, Turku, Finland
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Sohn JH, Behr SC, Hernandez PM, Seo Y. Quantitative Assessment of Myocardial Ischemia With Positron Emission Tomography. J Thorac Imaging 2023; 38:247-259. [PMID: 33492046 PMCID: PMC8295411 DOI: 10.1097/rti.0000000000000579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Recent advances in positron emission tomography (PET) technology and reconstruction techniques have now made quantitative assessment using cardiac PET readily available in most cardiac PET imaging centers. Multiple PET myocardial perfusion imaging (MPI) radiopharmaceuticals are available for quantitative examination of myocardial ischemia, with each having distinct convenience and accuracy profile. Important properties of these radiopharmaceuticals ( 15 O-water, 13 N-ammonia, 82 Rb, 11 C-acetate, and 18 F-flurpiridaz) including radionuclide half-life, mean positron range in tissue, and the relationship between kinetic parameters and myocardial blood flow (MBF) are presented. Absolute quantification of MBF requires PET MPI to be performed with protocols that allow the generation of dynamic multiframes of reconstructed data. Using a tissue compartment model, the rate constant that governs the rate of PET MPI radiopharmaceutical extraction from the blood plasma to myocardial tissue is calculated. Then, this rate constant ( K1 ) is converted to MBF using an established extraction formula for each radiopharmaceutical. As most of the modern PET scanners acquire the data only in list mode, techniques of processing the list-mode data into dynamic multiframes are also reviewed. Finally, the impact of modern PET technologies such as PET/CT, PET/MR, total-body PET, machine learning/deep learning on comprehensive and quantitative assessment of myocardial ischemia is briefly described in this review.
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Affiliation(s)
- Jae Ho Sohn
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA
| | - Spencer C. Behr
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA
| | | | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA
- Department of Radiation Oncology, University of California, San Francisco, CA
- UC Berkeley-UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA
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4
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Poitrasson-Rivière A, Moody JB, Renaud JM, Hagio T, Arida-Moody L, Buckley C, Weinberg RL, Ficaro EP, Murthy VL. Impact of residual subtraction on myocardial blood flow and reserve estimates from rapid dynamic PET protocols. J Nucl Cardiol 2022; 29:2262-2270. [PMID: 34780036 DOI: 10.1007/s12350-021-02837-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/27/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND 13N-ammonia and 18F-flurpiridaz require longer delays between rest and stress studies to allow for decay, lowering clinical throughput. In this study, we investigated the impact of residual subtraction on MBF and MFR estimates, as well as its effects on diagnostic accuracy. METHODS We retrospectively analyzed 63 patients who underwent a dynamic ammonia rest/stress study and 231 patients from the flurpiridaz 301 trial. Residual subtraction was performed by subtracting the mean pre-injection activity in each sampled region from that region's time activity curve. Corrected and uncorrected MBF and MFR were analyzed. Diagnostic accuracy was compared to quantitative coronary angiograms (QCA) for the flurpiridaz population. RESULTS With delays between injections above 3 half-lives, and a doubled stress dose, residual activity did not meaningfully increase ammonia MBF (< 5%). For shorter injection delays, stress MBF was overestimated by 13.6% ± 5.0% (P < .001). Residual activity had a large effect on flurpiridaz stress MBF, overestimating it by 37.9% ± 23.2% (P < .001). Comparison to QCA showed a significant improvement in AUC with residual subtraction (from 0.748 to 0.831, P = .001). MFR yielded similar results. CONCLUSIONS Accounting for residual activity has a marked impact on stress MBF and MFR and improves diagnostic accuracy relative to QCA.
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Affiliation(s)
| | - Jonathan B Moody
- INVIA Medical Imaging Solutions, 3025 Boardwalk Drive, Suite 200, Ann Arbor, MI, 48108, USA
| | - Jennifer M Renaud
- INVIA Medical Imaging Solutions, 3025 Boardwalk Drive, Suite 200, Ann Arbor, MI, 48108, USA
| | - Tomoe Hagio
- INVIA Medical Imaging Solutions, 3025 Boardwalk Drive, Suite 200, Ann Arbor, MI, 48108, USA
| | - Liliana Arida-Moody
- Division of Cardiovascular Medicine, Department of Internal Medicine and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA
| | | | - Richard L Weinberg
- Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Edward P Ficaro
- INVIA Medical Imaging Solutions, 3025 Boardwalk Drive, Suite 200, Ann Arbor, MI, 48108, USA
- Division of Cardiovascular Medicine, Department of Internal Medicine and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Internal Medicine and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA
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Nappi C, Ponsiglione A, Falzarano M, Imbriaco M, Klain M, Cuocolo A. Insights into Myocardial Perfusion PET Imaging: the Coronary Flow Capacity. CURRENT CARDIOVASCULAR IMAGING REPORTS 2022. [DOI: 10.1007/s12410-022-09568-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Abstract
Purpose of Review
The present work summarizes the clinical relevance of coronary flow capacity (CFC) with an eye on future perspectives.
Recent findings
CFC concept has been recently introduced providing a comprehensive framework for coronary physiology evaluation.
Summary
It has been widely demonstrated that coronary artery disease (CAD) is a complex disease with a multifactorial etiology resulting from different pathogenic mechanisms. Cardiac positron emission tomography (PET) currently represents the gold standard for CAD assessment, providing absolute myocardial perfusion data including coronary flow reserve (CFR), calculated as the ratio of hyperemic to rest absolute myocardial blood flows. CFC can be obtained from dynamic PET images by plotting the primary stress perfusion data and CFR values for each pixel on a graph of predefined exact ranges. The routine evaluation of this parameter may add diagnostic and prognostic value to clinical and conventional imaging data.
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6
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Moody JB, Poitrasson-Rivière A, Hagio T, Buckley C, Weinberg RL, Corbett JR, Murthy VL, Ficaro EP. Added value of myocardial blood flow using 18F-flurpiridaz PET to diagnose coronary artery disease: The flurpiridaz 301 trial. J Nucl Cardiol 2021; 28:2313-2329. [PMID: 32002847 DOI: 10.1007/s12350-020-02034-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 12/09/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND 18F-Flurpiridaz is a promising investigational radiotracer for PET myocardial perfusion imaging with favorable properties for quantification of myocardial blood flow (MBF). We sought to validate the incremental diagnostic value of absolute MBF quantification in a large multicenter trial against quantitative coronary angiography. METHODS We retrospectively analyzed a subset of patients (N = 231) from the first phase 3 flurpiridaz trial (NCT01347710). Dynamic PET data at rest and pharmacologic stress were fit to a previously validated 2-tissue-compartment model. Absolute MBF and myocardial flow reserve (MFR) were compared with coronary artery disease severity quantified by invasive coronary angiography on a per-patient and per-vessel basis. RESULTS Stress MBF per-vessel accurately identified obstructive disease (c-index 0.79) and progressively declined with increasing stenosis severity (2.35 ± 0.71 in patients without CAD; 1.92 ± 0.49 in non-obstructed territories of CAD patients; and 1.54 ± 0.50 in diseased territories, P < 0.05). MFR similarly declined with increasing stenosis severity (3.03 ± 0.94; 2.69 ± 0.95; and 2.33 ± 0.86, respectively, P < 0.05). In multivariable logistic regression modeling, stress MBF and MFR provided incremental diagnostic value beyond patient characteristics and relative perfusion analysis. CONCLUSIONS Clinical myocardial blood flow measurement with 18F-flurpiridaz cardiac PET shows promise for routine application.
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Affiliation(s)
- Jonathan B Moody
- INVIA Medical Imaging Solutions, 3025 Boardwalk Street, Suite 200, Ann Arbor, MI, 48108, USA.
| | | | - Tomoe Hagio
- INVIA Medical Imaging Solutions, 3025 Boardwalk Street, Suite 200, Ann Arbor, MI, 48108, USA
| | | | - Richard L Weinberg
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - James R Corbett
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Edward P Ficaro
- INVIA Medical Imaging Solutions, 3025 Boardwalk Street, Suite 200, Ann Arbor, MI, 48108, USA
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
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7
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Nammas W, Maaniitty T, Knuuti J, Saraste A. Cardiac perfusion by positron emission tomography. Clin Physiol Funct Imaging 2021; 41:385-400. [PMID: 33969615 DOI: 10.1111/cpf.12708] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/05/2021] [Indexed: 01/16/2023]
Abstract
Myocardial perfusion imaging (MPI) with positron emission tomography (PET) is an established tool for evaluation of obstructive coronary artery disease (CAD). The contemporary 3-dimensional scanner technology and the state-of-the-art MPI radionuclide tracers and pharmacological stress agents, as well as the cutting-edge image reconstruction techniques and data analysis software, have all enabled accurate, reliable and reproducible quantification of absolute myocardial blood flow (MBF), and henceforth calculation of myocardial flow reserve (MFR) in several clinical scenarios. In patients with suspected coronary artery disease, both absolute stress MBF and MFR can identify myocardial territories subtended by epicardial coronary arteries with haemodynamically significant stenosis, as defined by invasive coronary fractional flow reserve measurement. In particular, absolute stress MBF and MFR offered incremental prognostic information for predicting adverse cardiac outcome, and hence for better patient risk stratification, over those provided by traditional clinical risk predictors. This article reviews the available evidence to support the translation of the current techniques and technologies into a useful decision-making tool in real-world clinical practice.
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Affiliation(s)
- Wail Nammas
- Heart Center, Turku University Hospital, Turku, Finland
| | - Teemu Maaniitty
- PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Antti Saraste
- Heart Center, Turku University Hospital, Turku, Finland.,PET Centre, Turku University Hospital and University of Turku, Turku, Finland
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8
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Kessler L, Rischpler C. Single Tracer Combined Imaging: the Role of PET/MRI from Research Domain to Clinical Arena. CURRENT CARDIOVASCULAR IMAGING REPORTS 2020. [DOI: 10.1007/s12410-020-09542-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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9
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Guehl NJ, Pelletier-Galarneau M, Wooten DW, Guerrero JL, Kas A, Normandin MD, Fakhri GE, Alpert NM. Preclinical Validation of a Single-Scan Rest/Stress Imaging Technique for 13N-Ammonia Positron Emission Tomography Cardiac Perfusion Studies. Circ Cardiovasc Imaging 2020; 13:e009407. [PMID: 31959009 DOI: 10.1161/circimaging.119.009407] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND We previously proposed a technique for quantitative measurement of rest and stress absolute myocardial blood flow (MBF) using a 2-injection single-scan imaging session. Recently, we validated the method in a pig model for the long-lived radiotracer 18F-Flurpiridaz with adenosine as a pharmacological stressor. The aim of the present work is to validate our technique for 13NH3. METHODS Nine studies were performed in 6 pigs; 5 studies were done in the native state and 4 after infarction of the left anterior descending artery. Each study consisted of 3 dynamic scans: a 2-injection rest-rest single-scan acquisition (scan A), a 2-injection rest/stress single-scan acquisition (scan B), and a conventional 1-injection stress acquisition (scan C). Variable doses of adenosine combined with dobutamine were administered to induce a wide range of MBF. The 2-injection single-scan measurements were fitted with our nonstationary kinetic model (MGH2). In 4 studies, 13NH3 injections were paired with microsphere injections. MBF estimates obtained with our method were compared with those obtained with the standard method and with microspheres. We used a model-based method to generate separate rest and stress perfusion images. RESULTS In the absence of stress (scan A), the MBF values estimated by MGH2 were nearly the same for the 2-radiotracer injections (mean difference: 0.067±0.070 mL·min-1·cc-1, limits of agreement: [-0.070 to 0.204] mL·min-1·cc-1), showing good repeatability. Bland-Altman analyses demonstrated very good agreement with the conventional method for both rest (mean difference: -0.034±0.035 mL·min-1·cc-1, limits of agreement: [-0.103 to 0.035] mL·min-1·cc-1) and stress (mean difference: 0.057±0.361 mL·min-1·cc-1, limits of agreement: [-0.651 to 0.765] mL·min-1·cc-1) MBF measurements. Positron emission tomography and microsphere MBF measurements correlated closely. Very good quality perfusion images were obtained. CONCLUSIONS This study provides in vivo validation of our single-scan rest-stress method for 13NH3 measurements. The 13NH3 rest/stress myocardial perfusion imaging procedure can be compressed into a single positron emission tomography scan session lasting less than 15 minutes.
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Affiliation(s)
- Nicolas J Guehl
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (N.J.G., M.P.-G., D.W.W., J.L.G., M.D.N., G.E.F., N.M.A.)
| | - Matthieu Pelletier-Galarneau
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (N.J.G., M.P.-G., D.W.W., J.L.G., M.D.N., G.E.F., N.M.A.).,Department of Radiology and Nuclear Medicine, Montreal Heart Institute, Québec, CA (M.P.-G.)
| | - Dustin W Wooten
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (N.J.G., M.P.-G., D.W.W., J.L.G., M.D.N., G.E.F., N.M.A.)
| | - J Luis Guerrero
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (N.J.G., M.P.-G., D.W.W., J.L.G., M.D.N., G.E.F., N.M.A.)
| | - Aurélie Kas
- AP-HP, Department of Nuclear Medicine, Pitié-Salpêtrière Hospital, Sorbonne University, UPMC Paris 06, CNRS UMR 7371, INSERM U1146, France (A.K.)
| | - Marc D Normandin
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (N.J.G., M.P.-G., D.W.W., J.L.G., M.D.N., G.E.F., N.M.A.)
| | - Georges El Fakhri
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (N.J.G., M.P.-G., D.W.W., J.L.G., M.D.N., G.E.F., N.M.A.)
| | - Nathaniel M Alpert
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston (N.J.G., M.P.-G., D.W.W., J.L.G., M.D.N., G.E.F., N.M.A.)
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10
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Abstract
PURPOSE OF REVIEW The aim of this review is to provide an update on quantification of myocardial blood flow (MBF) with positron emission tomography (PET) imaging. Technical and clinical aspects of flow quantification with PET are reviewed. RECENT FINDINGS The diagnostic and prognostic values of myocardial flow quantification have been established in numerous studies and in various populations. MBF quantification has also shown itself to be particularly useful in the assessment of coronary microvascular dysfunction and in evaluation of cardiac allograft vasculopathy. Overall, myocardial flow reserve (MFR) and hyperemic MBF can lead to improved risk stratification by providing information complementary to that of other markers of disease severity, such as fractional flow reserve. Flow quantification enhances MPI's ability to detect both significant epicardial disease and microvascular dysfunction. With recent technological and methodological advances, flow quantification with PET is no longer restricted to cyclotron-equipped academic centers.
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Affiliation(s)
- Matthieu Pelletier-Galarneau
- Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Medical Imaging, Montreal Heart Institute, Montreal, Quebec, Canada
| | - Patrick Martineau
- Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Health Sciences Centre, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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11
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Werner RA, Chen X, Rowe SP, Lapa C, Javadi MS, Higuchi T. Moving into the next era of PET myocardial perfusion imaging: introduction of novel 18F-labeled tracers. Int J Cardiovasc Imaging 2018; 35:569-577. [PMID: 30334228 PMCID: PMC6454078 DOI: 10.1007/s10554-018-1469-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 10/12/2018] [Indexed: 01/15/2023]
Abstract
The heart failure epidemic continues to rise with coronary artery disease as one of its main causes. Novel concepts for risk stratification to guide the referring cardiologist towards revascularization procedures are of significant value. Myocardial perfusion imaging using single-photon emission computed tomography (SPECT) agents has demonstrated high accuracy for the detection of clinically relevant stenoses. With positron emission tomography (PET) becoming more widely available, mainly due to its diagnostic performance in oncology, perfusion imaging with that modality is more practical than in the past and overcomes existing limitations of SPECT MPI. Advantages of PET include more reliable quantification of absolute myocardial blood flow, the routine use of computed tomography for attenuation correction, a higher spatiotemporal resolution and a higher count sensitivity. Current PET radiotracers such as rubidium-82 (half-life, 76 s), oxygen-15 water (2 min) or nitrogen-13 ammonia (10 min) are labeled with radionuclides with very short half-lives, necessitating that stress imaging is performed under pharmacological vasodilator stress instead of exercise testing. However, with the introduction of novel 18F-labeled MPI PET radiotracers (half-life, 110 min), the intrinsic advantages of PET can be combined with exercise testing. Additional advantages of those radiotracers include, but are not limited to: potentially improved cost-effectiveness due to the use of pre-existing delivery systems and superior imaging qualities, mainly due to the shortest positron range among available PET MPI probes. In the present review, widely used PET MPI radiotracers will be reviewed and potential novel 18F-labeled perfusion radiotracers will be discussed.
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Affiliation(s)
- Rudolf A Werner
- Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Nuclear Medicine, University of Wuerzburg, Wuerzburg, Germany.,Comprehensive Heart Failure Center, University of Wuerzburg, Oberduerrbacher Strasse 6, 97080, Wuerzburg, Germany
| | - Xinyu Chen
- Department of Nuclear Medicine, University of Wuerzburg, Wuerzburg, Germany.,Comprehensive Heart Failure Center, University of Wuerzburg, Oberduerrbacher Strasse 6, 97080, Wuerzburg, Germany
| | - Steven P Rowe
- Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Constantin Lapa
- Department of Nuclear Medicine, University of Wuerzburg, Wuerzburg, Germany
| | - Mehrbod S Javadi
- Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Takahiro Higuchi
- Department of Nuclear Medicine, University of Wuerzburg, Wuerzburg, Germany. .,Comprehensive Heart Failure Center, University of Wuerzburg, Oberduerrbacher Strasse 6, 97080, Wuerzburg, Germany. .,Department of Biomedical Imaging, National Cardiovascular and Cerebral Center, Suita, Japan.
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12
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Abstract
Myocardial perfusion imaging (MPI) using rest/stress single photon emission computed tomography (SPECT) allows non-invasive assessment of reversible cardiac perfusion defects. Conventionally, reversible defects are identified using a difference image, called reversible map, obtained by subtracting the stress image from the rest image after registration and normalization of the two images. The identification of reversible defects using the conventional subtraction method is however limited by noise. We propose to jointly reconstruct rest and stress projection data to directly obtain the reversible map in a single reconstruction framework to improve the detectability of reversible defects. To evaluate the performance of the proposed method, we performed phantom studies to mimic reversible defects with different levels of severity and doses. As compared to the conventional subtraction method, the joint method yielded reversible maps with much lower noise and improved defect detectability. At a normal clinical dose level, the joint method improved the signal to noise ratio (SNR) of defect contrast in reversible maps from 13.2 to 66.4, 9.7 to 35.0, 6.1 to 13.2, and 3.1 to 6.5, for defect to normal myocardium concentration ratios of 0%, 25%, 50%, and 75%, respectively. The SNRs obtained using the joint method were improved from 6.1 to 13.2, 3.9 to 9.4, 3.0 to 8.0, and 2.1 to 7.1, for 100%, 75%, 50%, and 25% of the normal clinical dose as compared to the conventional subtraction method. To access clinical feasibility, we applied the joint method to a rest/stress SPECT MPI patient study. The joint method yielded a reversible map with much lower noise, translating into a much higher defect detectability as compared to the conventional subtraction method. Our results indicate that the joint method has the potential to improve radiologists' performance for assessing defects in rest/stress SPECT MPI. In addition, the joint method can be used to reduce dose or imaging time.
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Affiliation(s)
- X Lai
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States of America. Department of Radiology, Harvard Medical School, Boston, MA 02115, United States of America
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13
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Guehl NJ, Normandin MD, Wooten DW, Rozen G, Ruskin JN, Shoup TM, Woo J, Ptaszek LM, Fakhri GE, Alpert NM. Rapid computation of single PET scan rest-stress myocardial blood flow parametric images by table look up. Med Phys 2017; 44:4643-4651. [PMID: 28594441 DOI: 10.1002/mp.12398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 05/11/2017] [Accepted: 05/31/2017] [Indexed: 12/17/2022] Open
Abstract
PURPOSE We have recently reported a method for measuring rest-stress myocardial blood flow (MBF) using a single, relatively short, PET scan session. The method requires two IV tracer injections, one to initiate rest imaging and one at peak stress. We previously validated absolute flow quantitation in ml/min/cc for standard bull's eye, segmental analysis. In this work, we extend the method for fast computation of rest-stress MBF parametric images. METHODS We provide an analytic solution to the single-scan rest-stress flow model which is then solved using a two-dimensional table lookup method (LM). Simulations were performed to compare the accuracy and precision of the lookup method with the original nonlinear method (NLM). Then the method was applied to 16 single scan rest/stress measurements made in 12 pigs: seven studied after infarction of the left anterior descending artery (LAD) territory, and nine imaged in the native state. Parametric maps of rest and stress MBF as well as maps of left (fLV ) and right (fRV ) ventricular spill-over fractions were generated. Regions of interest (ROIs) for 17 myocardial segments were defined in bull's eye fashion on the parametric maps. The mean of each ROI was then compared to the rest (K1r ) and stress (K1s ) MBF estimates obtained from fitting the 17 regional TACs with the NLM. RESULTS In simulation, the LM performed as well as the NLM in terms of precision and accuracy. The simulation did not show that bias was introduced by the use of a predefined two-dimensional lookup table. In experimental data, parametric maps demonstrated good statistical quality and the LM was computationally much more efficient than the original NLM. Very good agreement was obtained between the mean MBF calculated on the parametric maps for each of the 17 ROIs and the regional MBF values estimated by the NLM (K1mapLM = 1.019 × K1ROINLM + 0.019, R2 = 0.986; mean difference = 0.034 ± 0.036 mL/min/cc). CONCLUSIONS We developed a table lookup method for fast computation of parametric imaging of rest and stress MBF. Our results show the feasibility of obtaining good quality MBF maps using modest computational resources, thus demonstrating that the method can be applied in a clinical environment to obtain full quantitative MBF information.
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Affiliation(s)
- Nicolas J Guehl
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Marc D Normandin
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Dustin W Wooten
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Guy Rozen
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Jeremy N Ruskin
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Timothy M Shoup
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Jonghye Woo
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Leon M Ptaszek
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Nathaniel M Alpert
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
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