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Nayfeh M, Sayed A, Alwan M, Alfawara M, Al Rifai M, Al-Mallah MH. Hybrid Imaging: Calcium Score and Myocardial Perfusion Imaging. Semin Nucl Med 2024; 54:638-647. [PMID: 39034159 DOI: 10.1053/j.semnuclmed.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 04/19/2024] [Indexed: 07/23/2024]
Abstract
Coronary heart disease (CHD) remains the top cause of death due to cardiovascular conditions worldwide, with someone suffering a myocardial infarction every 40 seconds. This highlights the importance of non-invasive imaging technologies like myocardial perfusion imaging (MPI), which are crucial for detecting coronary artery disease (CAD) early, even before symptoms appear. However, the reliance solely on MPI has shifted due to its limitations in definitively ruling out atherosclerosis, leading to the adoption of hybrid imaging techniques. Hybrid imaging combines computed tomography (CT) with MPI techniques such as positron emission tomography (PET) and single photon emission computed tomography (SPECT). This integration, often within a single gantry system, enhances the diagnostic accuracy by allowing for attenuation correction (AC), acquisition of the coronary artery calcium score (CACS), and more precise tracing of radiotracer uptake. The built-in CT in modern MPI systems assists in these functions, which is essential for better diagnosis and risk assessment in patients. The addition of CACS to MPI, a method involving the assessment of calcified plaque in coronary arteries, notably enhances diagnostic and prognostic capabilities. CACS helps in identifying atherosclerosis and predicting potential cardiac events, facilitating personalized risk management and the initiation of tailored interventions like statins and aspirin. Such comprehensive imaging strategies not only improve the accuracy of detecting CAD but also help in stratifying patient risk more effectively. In this paper, we discuss how the incorporation of CAC into MPI protocols enhances the diagnostic sensitivity for detecting obstructive CAD, as evidenced by several studies where the addition of CAC to MPI has led to improved outcomes in diagnosing CAD. Moreover, CAC has been shown to unmask silent coronary atherosclerosis in patients with normal MPI results, highlighting its incremental diagnostic value. We will discuss the evolving role of hybrid imaging in guiding therapeutic decisions, particularly the use of statins for cardiovascular prevention. The integration of CAC assessment with MPI not only aids in the early detection and management of CAD but also optimizes therapeutic strategies, enhancing patient care through a more accurate and personalized approach. Such advancements underscore the need for further research to fully establish the benefits of combining CAC with MPI in the clinical assessment of cardiovascular risk.
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Affiliation(s)
- Malek Nayfeh
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
| | | | - Maria Alwan
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
| | - Moath Alfawara
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
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2
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Yi J, Michalowska AM, Shanbhag A, Miller RJH, Geers J, Zhang W, Killekar A, Manral N, Lemley M, Buchwald M, Kwiecinski J, Zhou J, Kavanagh PB, Liang JX, Builoff V, Ruddy TD, Einstein AJ, Feher A, Miller EJ, Sinusas AJ, Berman DS, Dey D, Slomka PJ. AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.30.24311224. [PMID: 39132480 PMCID: PMC11312626 DOI: 10.1101/2024.07.30.24311224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Background Computed tomography attenuation correction (CTAC) scans are routinely obtained during cardiac perfusion imaging, but currently only utilized for attenuation correction and visual calcium estimation. We aimed to develop a novel artificial intelligence (AI)-based approach to obtain volumetric measurements of chest body composition from CTAC scans and evaluate these measures for all-cause mortality (ACM) risk stratification. Methods We applied AI-based segmentation and image-processing techniques on CTAC scans from a large international image-based registry (four sites), to define chest rib cage and multiple tissues. Volumetric measures of bone, skeletal muscle (SM), subcutaneous, intramuscular (IMAT), visceral (VAT), and epicardial (EAT) adipose tissues were quantified between automatically-identified T5 and T11 vertebrae. The independent prognostic value of volumetric attenuation, and indexed volumes were evaluated for predicting ACM, adjusting for established risk factors and 18 other body compositions measures via Cox regression models and Kaplan-Meier curves. Findings End-to-end processing time was <2 minutes/scan with no user interaction. Of 9918 patients studied, 5451(55%) were male. During median 2.5 years follow-up, 610 (6.2%) patients died. High VAT, EAT and IMAT attenuation were associated with increased ACM risk (adjusted hazard ratio (HR) [95% confidence interval] for VAT: 2.39 [1.92, 2.96], p<0.0001; EAT: 1.55 [1.26, 1.90], p<0.0001; IMAT: 1.30 [1.06, 1.60], p=0.0124). Patients with high bone attenuation were at lower risk of death as compared to subjects with lower bone attenuation (adjusted HR 0.77 [0.62, 0.95], p=0.0159). Likewise, high SM volume index was associated with a lower risk of death (adjusted HR 0.56 [0.44, 0.71], p<0.0001). Interpretations CTAC scans obtained routinely during cardiac perfusion imaging contain important volumetric body composition biomarkers which can be automatically measured and offer important additional prognostic value.
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Affiliation(s)
- Jirong Yi
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Anna M Michalowska
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center of Radiological Diagnostics, National Medical Institute of the Ministry of the Interior and Administration, Warsaw, Poland
| | - Aakash Shanbhag
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
| | - Robert J H Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
| | - Jolien Geers
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiology, Centrum voor Hart-en Vaatziekten (CHVZ), Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Wenhao Zhang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Aditya Killekar
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Nipun Manral
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Lemley
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mikolaj Buchwald
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Jianhang Zhou
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul B Kavanagh
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Joanna X Liang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Valerie Builoff
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Terrence D Ruddy
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Andrew J Einstein
- Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, New York, United States
| | - Attila Feher
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Daniel S Berman
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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3
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Al-Mallah MH, Nayfeh M, Alrifai M. The role of cardiac PET in diagnosis and prognosis of patients with ischemia with no obstructive coronary arteries (INOCA). AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2024; 43:100399. [PMID: 38828445 PMCID: PMC11141139 DOI: 10.1016/j.ahjo.2024.100399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 06/05/2024]
Abstract
Chest pain, a common symptom in cardiovascular care, often leads to the investigation of obstructive coronary artery disease (CAD). However, many patients experience chest pain without obstructive CAD, termed INOCA (Ischemia with Non-Obstructive Coronary Arteries) or CMD (Coronary Microvascular Dysfunction). INOCA can be attributed to endothelial dysfunction, vascular smooth muscle dysfunction, or both, affecting about 20-30 % of patients with nonobstructive CAD. The diagnostic approach for INOCA includes both invasive and non-invasive methods, with cardiac PET (Positron Emission Tomography) playing a significant role in risk stratification and management. PET evaluates various parameters like myocardial blood flow under stress and rest, myocardial flow reserve, and myocardial ischemia. Such comprehensive assessment is essential in accurately diagnosing and managing INOCA, considering the complexity of this condition.
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Affiliation(s)
| | - Malek Nayfeh
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Mahmoud Alrifai
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
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4
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Bourque JM, Birgersdotter-Green U, Bravo PE, Budde RPJ, Chen W, Chu VH, Dilsizian V, Erba PA, Gallegos Kattan C, Habib G, Hyafil F, Khor YM, Manlucu J, Mason PK, Miller EJ, Moon MR, Parker MW, Pettersson G, Schaller RD, Slart RHJA, Strom JB, Wilkoff BL, Williams A, Woolley AE, Zwischenberger BA, Dorbala S. 18F-FDG PET/CT and Radiolabeled Leukocyte SPECT/CT Imaging for the Evaluation of Cardiovascular Infection in the Multimodality Context: ASNC Imaging Indications (ASNC I 2) Series Expert Consensus Recommendations From ASNC, AATS, ACC, AHA, ASE, EANM, HRS, IDSA, SCCT, SNMMI, and STS. JACC Cardiovasc Imaging 2024; 17:669-701. [PMID: 38466252 DOI: 10.1016/j.jcmg.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
This document on cardiovascular infection, including infective endocarditis, is the first in the American Society of Nuclear Cardiology Imaging Indications (ASNC I2) series to assess the role of radionuclide imaging in the multimodality context for the evaluation of complex systemic diseases with multisocietal involvement including pertinent disciplines. A rigorous modified Delphi approach was used to determine consensus clinical indications, diagnostic criteria, and an algorithmic approach to diagnosis of cardiovascular infection including infective endocarditis. Cardiovascular infection incidence is increasing and is associated with high morbidity and mortality. Current strategies based on clinical criteria and an initial echocardiographic imaging approach are effective but often insufficient in complicated cardiovascular infection. Radionuclide imaging with fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (CT) and single photon emission computed tomography/CT leukocyte scintigraphy can enhance the evaluation of suspected cardiovascular infection by increasing diagnostic accuracy, identifying extracardiac involvement, and assessing cardiac implanted device pockets, leads, and all portions of ventricular assist devices. This advanced imaging can aid in key medical and surgical considerations. Consensus diagnostic features include focal/multifocal or diffuse heterogenous intense 18F-FDG uptake on valvular and prosthetic material, perivalvular areas, device pockets and leads, and ventricular assist device hardware persisting on non-attenuation corrected images. There are numerous clinical indications with a larger role in prosthetic valves, and cardiac devices particularly with possible infective endocarditis or in the setting of prior equivocal or non-diagnostic imaging. Illustrative cases incorporating these consensus recommendations provide additional clarification. Future research is necessary to refine application of these advanced imaging tools for surgical planning, to identify treatment response, and more.
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Affiliation(s)
- Jamieson M Bourque
- Cardiovascular Division and the Cardiovascular Imaging Center, Departments of Medicine and Radiology, University of Virginia Health System, Charlottesville, VA, USA.
| | | | - Paco E Bravo
- Divisions of Nuclear Medicine, Cardiothoracic Imaging and Cardiovascular Medicine, Director, Nuclear Cardiology and Cardiovascular Molecular Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Wengen Chen
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Vivian H Chu
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
| | - Vasken Dilsizian
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Paola Anna Erba
- Department of Medicine and Surgery University of Milano Bicocca and Nuclear Medicine, ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | | | - Gilbert Habib
- Cardiology Department, Hôpital La Timone, Marseille, France
| | - Fabien Hyafil
- Nuclear Cardiology and Nuclear Medicine Department, DMU IMAGINA, Hôpital Européen Georges-Pompidou, University of Paris, Paris, France
| | - Yiu Ming Khor
- Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore
| | - Jaimie Manlucu
- London Heart Rhythm Program, Western University, London Health Sciences Centre (University Hospital), London, Ontario, Canada
| | - Pamela Kay Mason
- Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Edward J Miller
- Nuclear Cardiology, Yale University School of Medicine, New Haven, CT, USA
| | - Marc R Moon
- Division of Cardiothoracic Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Matthew W Parker
- Echocardiography Laboratory, Division of Cardiovascular Medicine, University of Massachusetts T.H. Chan School of Medicine, Worcester, MA, USA
| | - Gosta Pettersson
- Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA
| | - Robert D Schaller
- Department of Cardiac Electrophysiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Riemer H J A Slart
- Medical Imaging Centre, Department of Nucleare, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands
| | - Jordan B Strom
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Harvard Medical School, Boston, MA, USA
| | - Bruce L Wilkoff
- Cardiac Pacing & Tachyarrhythmia Devices, Department of Cardiovascular Medicine, Professor of Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | | | - Ann E Woolley
- Division of Thoracic and Cardiovascular Surgery, Duke University Medical Center, Durham, NC, USA
| | | | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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5
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Bourque JM, Birgersdotter-Green U, Bravo PE, Budde RPJ, Chen W, Chu VH, Dilsizian V, Erba PA, Gallegos Kattan C, Habib G, Hyafil F, Khor YM, Manlucu J, Mason PK, Miller EJ, Moon MR, Parker MW, Pettersson G, Schaller RD, Slart RHJA, Strom JB, Wilkoff BL, Williams A, Woolley AE, Zwischenberger BA, Dorbala S. 18F-FDG PET/CT and radiolabeled leukocyte SPECT/CT imaging for the evaluation of cardiovascular infection in the multimodality context: ASNC Imaging Indications (ASNC I 2) Series Expert Consensus Recommendations from ASNC, AATS, ACC, AHA, ASE, EANM, HRS, IDSA, SCCT, SNMMI, and STS. Heart Rhythm 2024; 21:e1-e29. [PMID: 38466251 DOI: 10.1016/j.hrthm.2024.01.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
This document on cardiovascular infection, including infective endocarditis, is the first in the American Society of Nuclear Cardiology Imaging Indications (ASNC I2) series to assess the role of radionuclide imaging in the multimodality context for the evaluation of complex systemic diseases with multi-societal involvement including pertinent disciplines. A rigorous modified Delphi approach was used to determine consensus clinical indications, diagnostic criteria, and an algorithmic approach to diagnosis of cardiovascular infection including infective endocarditis. Cardiovascular infection incidence is increasing and is associated with high morbidity and mortality. Current strategies based on clinical criteria and an initial echocardiographic imaging approach are effective but often insufficient in complicated cardiovascular infection. Radionuclide imaging with 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (CT) and single photon emission computed tomography/CT leukocyte scintigraphy can enhance the evaluation of suspected cardiovascular infection by increasing diagnostic accuracy, identifying extracardiac involvement, and assessing cardiac implanted device pockets, leads, and all portions of ventricular assist devices. This advanced imaging can aid in key medical and surgical considerations. Consensus diagnostic features include focal/multi-focal or diffuse heterogenous intense 18F-FDG uptake on valvular and prosthetic material, perivalvular areas, device pockets and leads, and ventricular assist device hardware persisting on non-attenuation corrected images. There are numerous clinical indications with a larger role in prosthetic valves, and cardiac devices particularly with possible infective endocarditis or in the setting of prior equivocal or non-diagnostic imaging. Illustrative cases incorporating these consensus recommendations provide additional clarification. Future research is necessary to refine application of these advanced imaging tools for surgical planning, to identify treatment response, and more.
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Affiliation(s)
- Jamieson M Bourque
- Cardiovascular Division and the Cardiovascular Imaging Center, Departments of Medicine and Radiology, University of Virginia Health System, Charlottesville, VA, USA.
| | | | - Paco E Bravo
- Divisions of Nuclear Medicine, Cardiothoracic Imaging and Cardiovascular Medicine, Director, Nuclear Cardiology and Cardiovascular Molecular Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Wengen Chen
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Vivian H Chu
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
| | - Vasken Dilsizian
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Paola Anna Erba
- Department of Medicine and Surgery University of Milano Bicocca and Nuclear Medicine, ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | | | - Gilbert Habib
- Cardiology Department, Hôpital La Timone, Marseille, France
| | - Fabien Hyafil
- Nuclear Cardiology and Nuclear Medicine Department, DMU IMAGINA, Hôpital Européen Georges-Pompidou, University of Paris, Paris, France
| | - Yiu Ming Khor
- Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore
| | - Jaimie Manlucu
- London Heart Rhythm Program, Western University, London Health Sciences Centre (University Hospital), London, Ontario, Canada
| | - Pamela Kay Mason
- Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Edward J Miller
- Nuclear Cardiology, Yale University School of Medicine, New Haven, CT, USA
| | - Marc R Moon
- Division of Cardiothoracic Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Matthew W Parker
- Echocardiography Laboratory, Division of Cardiovascular Medicine, University of Massachusetts T.H. Chan School of Medicine, Worcester, MA, USA
| | - Gosta Pettersson
- Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA
| | - Robert D Schaller
- Department of Cardiac Electrophysiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Riemer H J A Slart
- Medical Imaging Centre, Department of Nucleare, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands
| | - Jordan B Strom
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Harvard Medical School, Boston, MA, USA
| | - Bruce L Wilkoff
- Cardiac Pacing & Tachyarrhythmia Devices, Department of Cardiovascular Medicine, Professor of Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | | | - Ann E Woolley
- Division of Thoracic and Cardiovascular Surgery, Duke University Medical Center, Durham, NC, USA
| | | | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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6
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Bourque JM, Birgersdotter-Green U, Bravo PE, Budde RPJ, Chen W, Chu VH, Dilsizian V, Erba PA, Gallegos Kattan C, Habib G, Hyafil F, Khor YM, Manlucu J, Mason PK, Miller EJ, Moon MR, Parker MW, Pettersson G, Schaller RD, Slart RHJA, Strom JB, Wilkoff BL, Williams A, Woolley AE, Zwischenberger BA, Dorbala S. 18F-FDG PET/CT and radiolabeled leukocyte SPECT/CT imaging for the evaluation of cardiovascular infection in the multimodality context: ASNC Imaging Indications (ASNC I 2) Series Expert Consensus Recommendations from ASNC, AATS, ACC, AHA, ASE, EANM, HRS, IDSA, SCCT, SNMMI, and STS. J Nucl Cardiol 2024; 34:101786. [PMID: 38472038 DOI: 10.1016/j.nuclcard.2023.101786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
This document on cardiovascular infection, including infective endocarditis, is the first in the American Society of Nuclear Cardiology Imaging Indications (ASNC I2) series to assess the role of radionuclide imaging in the multimodality context for the evaluation of complex systemic diseases with multi-societal involvement including pertinent disciplines. A rigorous modified Delphi approach was used to determine consensus clinical indications, diagnostic criteria, and an algorithmic approach to diagnosis of cardiovascular infection including infective endocarditis. Cardiovascular infection incidence is increasing and is associated with high morbidity and mortality. Current strategies based on clinical criteria and an initial echocardiographic imaging approach are effective but often insufficient in complicated cardiovascular infection. Radionuclide imaging with 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (CT) and single photon emission computed tomography/CT leukocyte scintigraphy can enhance the evaluation of suspected cardiovascular infection by increasing diagnostic accuracy, identifying extracardiac involvement, and assessing cardiac implanted device pockets, leads, and all portions of ventricular assist devices. This advanced imaging can aid in key medical and surgical considerations. Consensus diagnostic features include focal/multi-focal or diffuse heterogenous intense 18F-FDG uptake on valvular and prosthetic material, perivalvular areas, device pockets and leads, and ventricular assist device hardware persisting on non-attenuation corrected images. There are numerous clinical indications with a larger role in prosthetic valves, and cardiac devices particularly with possible infective endocarditis or in the setting of prior equivocal or non-diagnostic imaging. Illustrative cases incorporating these consensus recommendations provide additional clarification. Future research is necessary to refine application of these advanced imaging tools for surgical planning, to identify treatment response, and more.
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Affiliation(s)
- Jamieson M Bourque
- Cardiovascular Division and the Cardiovascular Imaging Center, Departments of Medicine and Radiology, University of Virginia Health System, Charlottesville, VA, USA.
| | | | - Paco E Bravo
- Divisions of Nuclear Medicine, Cardiothoracic Imaging and Cardiovascular Medicine, Director, Nuclear Cardiology and Cardiovascular Molecular Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Wengen Chen
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Vivian H Chu
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
| | - Vasken Dilsizian
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Paola Anna Erba
- Department of Medicine and Surgery University of Milano Bicocca and Nuclear Medicine, ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | | | - Gilbert Habib
- Cardiology Department, Hôpital La Timone, Marseille, France
| | - Fabien Hyafil
- Nuclear Cardiology and Nuclear Medicine Department, DMU IMAGINA, Hôpital Européen Georges-Pompidou, University of Paris, Paris, France
| | - Yiu Ming Khor
- Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore
| | - Jaimie Manlucu
- London Heart Rhythm Program, Western University, London Health Sciences Centre (University Hospital), London, Ontario, Canada
| | - Pamela Kay Mason
- Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Edward J Miller
- Nuclear Cardiology, Yale University School of Medicine, New Haven, CT, USA
| | - Marc R Moon
- Division of Cardiothoracic Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Matthew W Parker
- Echocardiography Laboratory, Division of Cardiovascular Medicine, University of Massachusetts T.H. Chan School of Medicine, Worcester, MA, USA
| | - Gosta Pettersson
- Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA
| | - Robert D Schaller
- Department of Cardiac Electrophysiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Riemer H J A Slart
- Medical Imaging Centre, Department of Nucleare, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands
| | - Jordan B Strom
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Harvard Medical School, Boston, MA, USA
| | - Bruce L Wilkoff
- Cardiac Pacing & Tachyarrhythmia Devices, Department of Cardiovascular Medicine, Professor of Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | | | - Ann E Woolley
- Division of Thoracic and Cardiovascular Surgery, Duke University Medical Center, Durham, NC, USA
| | | | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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7
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Bourque JM, Birgersdotter-Green U, Bravo PE, Budde RPJ, Chen W, Chu VH, Dilsizian V, Erba PA, Gallegos Kattan C, Habib G, Hyafil F, Khor YM, Manlucu J, Mason PK, Miller EJ, Moon MR, Parker MW, Pettersson G, Schaller RD, Slart RHJA, Strom JB, Wilkoff BL, Williams A, Woolley AE, Zwischenberger BA, Dorbala S. 18F-FDG PET/CT and radiolabeled leukocyte SPECT/CT imaging for the evaluation of cardiovascular infection in the multimodality context: ASNC Imaging Indications (ASNC I2) Series Expert Consensus Recommendations from ASNC, AATS, ACC, AHA, ASE, EANM, HRS, IDSA, SCCT, SNMMI, and STS. Clin Infect Dis 2024:ciae046. [PMID: 38466039 DOI: 10.1093/cid/ciae046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024] Open
Abstract
This document on cardiovascular infection, including infective endocarditis, is the first in the American Society of Nuclear Cardiology Imaging Indications (ASNC I2) series to assess the role of radionuclide imaging in the multimodality context for the evaluation of complex systemic diseases with multi-societal involvement including pertinent disciplines. A rigorous modified Delphi approach was used to determine consensus clinical indications, diagnostic criteria, and an algorithmic approach to diagnosis of cardiovascular infection including infective endocarditis. Cardiovascular infection incidence is increasing and is associated with high morbidity and mortality. Current strategies based on clinical criteria and an initial echocardiographic imaging approach are effective but often insufficient in complicated cardiovascular infection. Radionuclide imaging with 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) and single photon emission computed tomography/CT leukocyte scintigraphy can enhance the evaluation of suspected cardiovascular infection by increasing diagnostic accuracy, identifying extracardiac involvement, and assessing cardiac implanted device pockets, leads, and all portions of ventricular assist devices. This advanced imaging can aid in key medical and surgical considerations. Consensus diagnostic features include focal/multi-focal or diffuse heterogenous intense 18F-FDG uptake on valvular and prosthetic material, perivalvular areas, device pockets and leads, and ventricular assist device hardware persisting on non-attenuation corrected images. There are numerous clinical indications with a larger role in prosthetic valves, and cardiac devices particularly with possible infective endocarditis or in the setting of prior equivocal or non-diagnostic imaging. Illustrative cases incorporating these consensus recommendations provide additional clarification. Future research is necessary to refine application of these advanced imaging tools for surgical planning, to identify treatment response, and more.
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Affiliation(s)
- Jamieson M Bourque
- Cardiovascular Division and the Cardiovascular Imaging Center, Departments of Medicine and Radiology, University of Virginia Health System, Charlottesville, VA, USA
| | | | - Paco E Bravo
- Divisions of Nuclear Medicine, Cardiothoracic Imaging and Cardiovascular Medicine, Director, Nuclear Cardiology and Cardiovascular Molecular Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Wengen Chen
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Vivian H Chu
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
| | - Vasken Dilsizian
- University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
| | - Paola Anna Erba
- Department of Medicine and Surgery University of Milano Bicocca and Nuclear Medicine, ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | | | - Gilbert Habib
- Cardiology Department, Hôpital La Timone, Marseille, France
| | - Fabien Hyafil
- Nuclear Cardiology and Nuclear Medicine Department, DMU IMAGINA, Hôpital Européen Georges-Pompidou, University of Paris, Paris, France
| | - Yiu Ming Khor
- Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore
| | - Jaimie Manlucu
- London Heart Rhythm Program, Western University, London Health Sciences Centre (University Hospital), London, Ontario, Canada
| | - Pamela Kay Mason
- Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Edward J Miller
- Nuclear Cardiology, Yale University School of Medicine, New Haven, CT, USA
| | - Marc R Moon
- Division of Cardiothoracic Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Matthew W Parker
- Echocardiography Laboratory, Division of Cardiovascular Medicine, University of Massachusetts T.H. Chan School of Medicine, Worcester, MA, USA
| | - Gosta Pettersson
- Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA
| | - Robert D Schaller
- Department of Cardiac Electrophysiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Riemer H J A Slart
- Medical Imaging Centre, Department of Nucleare, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands
| | - Jordan B Strom
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Harvard Medical School, Boston, MA, USA
| | - Bruce L Wilkoff
- Cardiac Pacing & Tachyarrhythmia Devices, Department of Cardiovascular Medicine, Professor of Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | | | - Ann E Woolley
- Division of Thoracic and Cardiovascular Surgery, Duke University Medical Center, Durham, NC, USA
| | | | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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8
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Al Rifai M, Winchester D. When should myocardial perfusion imaging be a first-test choice? J Nucl Cardiol 2024; 33:101824. [PMID: 38360263 DOI: 10.1016/j.nuclcard.2024.101824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/17/2024]
Affiliation(s)
- Mahmoud Al Rifai
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - David Winchester
- Division of Cardiovascular Medicine, University of Florida, Gainesville, FL, USA.
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9
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Feher A, Pieszko K, Shanbhag A, Lemley M, Bednarski B, Miller RJH, Huang C, Miras L, Liu YH, Sinusas AJ, Slomka PJ, Miller EJ. CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients. Eur J Nucl Med Mol Imaging 2024; 51:695-706. [PMID: 37924340 DOI: 10.1007/s00259-023-06484-x] [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: 05/19/2023] [Accepted: 10/21/2023] [Indexed: 11/06/2023]
Abstract
PURPOSE This study aimed to compare the predictive value of CT attenuation-corrected stress total perfusion deficit (AC-sTPD) and non-corrected stress TPD (NC-sTPD) for major adverse cardiac events (MACE) in obese patients undergoing cadmium zinc telluride (CZT) SPECT myocardial perfusion imaging (MPI). METHODS The study included 4,585 patients who underwent CZT SPECT/CT MPI for clinical indications (chest pain: 56%, shortness of breath: 13%, other: 32%) at Yale New Haven Hospital (age: 64 ± 12 years, 45% female, body mass index [BMI]: 30.0 ± 6.3 kg/m2, prior coronary artery disease: 18%). The association between AC-sTPD or NC-sTPD and MACE defined as the composite end point of mortality, nonfatal myocardial infarction or late coronary revascularization (> 90 days after SPECT) was evaluated with survival analysis. RESULTS During a median follow-up of 25 months, 453 patients (10%) experienced MACE. In patients with BMI ≥ 35 kg/m2 (n = 931), those with AC-sTPD ≥ 3% had worse MACE-free survival than those with AC-sTPD < 3% (HR: 2.23, 95% CI: 1.40 - 3.55, p = 0.002) with no difference in MACE-free survival between patients with NC-sTPD ≥ 3% and NC-sTPD < 3% (HR:1.06, 95% CI:0.67 - 1.68, p = 0.78). AC-sTPD had higher AUC than NC-sTPD for the detection of 2-year MACE in patients with BMI ≥ 35 kg/m2 (0.631 versus 0.541, p = 0.01). In the overall cohort AC-sTPD had a higher ROC area under the curve (AUC, 0.641) than NC-sTPD (0.608; P = 0.01) for detection of 2-year MACE. In patients with BMI ≥ 35 kg/m2 AC sTPD provided significant incremental prognostic value beyond NC sTPD (net reclassification index: 0.14 [95% CI: 0.20 - 0.28]). CONCLUSIONS AC sTPD outperformed NC sTPD in predicting MACE in patients undergoing SPECT MPI with BMI ≥ 35 kg/m2. These findings highlight the superior prognostic value of AC-sTPD in this patient population and underscore the importance of CT attenuation correction.
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Affiliation(s)
- Attila Feher
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
| | - Konrad Pieszko
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Aakash Shanbhag
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Lemley
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bryan Bednarski
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robert J H Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
| | - Cathleen Huang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Leonidas Miras
- Division of Cardiology, Bridgeport Hospital, Yale University School of Medicine, Bridgeport, CT, USA
| | - Yi-Hwa Liu
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Piotr J Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
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10
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Williams MC. Machine learning models for positron emission tomography myocardial perfusion imaging. J Nucl Cardiol 2024; 32:101805. [PMID: 38244977 DOI: 10.1016/j.nuclcard.2024.101805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 01/22/2024]
Abstract
Machine learning has the potential to improve patient care by automating the assessment of medical imaging. Machine learning models have been developed to identify ischaemia and scar on rest and stress myocardial perfusion imaging from positron emission tomography (PET). Application of these tools could aid reporting of PET by highlighting patients and vessels likely to have abnormalities. How this information should be integrated into clinical practice and the impact on patient management or outcomes is not currently known.
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Affiliation(s)
- Michelle C Williams
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom.
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11
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Feher A, Pieszko K, Shanbhag A, Lemley M, Miller RJ, Huang C, Miras L, Liu YH, Gerber J, Sinusas AJ, Miller EJ, Slomka PJ. Comparison of the prognostic value between quantification and visual estimation of coronary calcification from attenuation CT in patients undergoing SPECT myocardial perfusion imaging. Int J Cardiovasc Imaging 2024; 40:185-193. [PMID: 37845406 PMCID: PMC466934 DOI: 10.1007/s10554-023-02980-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/29/2023] [Indexed: 10/18/2023]
Abstract
We investigated the prognostic utility of visually estimated coronary artery calcification (VECAC) from low dose computed tomography attenuation correction (CTAC) scans obtained during SPECT/CT myocardial perfusion imaging (MPI), and assessed how it compares to coronary artery calcifications (CAC) quantified by calcium score on CTACs (QCAC). From the REFINE SPECT Registry 4,236 patients without prior coronary stenting with SPECT/CT performed at a single center were included (age: 64 ± 12 years, 47% female). VECAC in each coronary artery (left main, left anterior descending, circumflex, and right) were scored separately as 0 (absent), 1 (mild), 2 (moderate), or 3 (severe), yielding a possible score of 0-12 for each patient (overall VECAC grade zero:0, mild:1-2, moderate: 3-5, severe: >5). CAC scoring of CTACs was performed at the REFINE SPECT core lab with dedicated software. VECAC was correlated with categorized QCAC (zero: 0, mild: 1-99, moderate: 100-399, severe: ≥400). A high degree of correlation was observed between VECAC and QCAC, with 73% of VECACs in the same category as QCAC and 98% within one category. There was substantial agreement between VECAC and QCAC (weighted kappa: 0.78 with 95% confidence interval: 0.76-0.79, p < 0.001). During a median follow-up of 25 months, 372 patients (9%) experienced major adverse cardiovascular events (MACE). In survival analysis, both VECAC and QCAC were associated with MACE. The area under the receiver operating characteristic curve for 2-year-MACE was similar for VECAC when compared to QCAC (0.694 versus 0.691, p = 0.70). In conclusion, visual assessment of CAC on low-dose CTAC scans provides good estimation of QCAC in patients undergoing SPECT/CT MPI. Visually assessed CAC has similar prognostic value for MACE in comparison to QCAC.
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Affiliation(s)
- Attila Feher
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
| | - Konrad Pieszko
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Aakash Shanbhag
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Lemley
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robert Jh Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
| | - Cathleen Huang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Leonidas Miras
- Division of Cardiology, Bridgeport Hospital, Yale University School of Medicine, Bridgeport, CT, USA
| | - Yi-Hwa Liu
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
| | - Jamie Gerber
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Piotr J Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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12
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Brodov Y, Chouraqui P, Goitein O. Hybrid nuclear/CT cardiac imaging: Pros cons and the future. J Nucl Cardiol 2023; 30:2361-2364. [PMID: 37596484 DOI: 10.1007/s12350-023-03348-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 08/20/2023]
Affiliation(s)
- Yafim Brodov
- Tel Aviv University Medical School, Tel Aviv, Israel.
- Heart Center and Diagnostic Radiology, Chaim Sheba Medical Center, Tel Hashomer, Israel.
| | - Pierre Chouraqui
- Tel Aviv University Medical School, Tel Aviv, Israel
- Heart Center and Diagnostic Radiology, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Orly Goitein
- Tel Aviv University Medical School, Tel Aviv, Israel
- Heart Center and Diagnostic Radiology, Chaim Sheba Medical Center, Tel Hashomer, Israel
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13
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Mannarino T, D'Antonio A, Assante R, Zampella E, Gaudieri V, Petretta M, Cuocolo A, Acampa W. Combined evaluation of CAC score and myocardial perfusion imaging in patients at risk of cardiovascular disease: where are we and what do the data say. J Nucl Cardiol 2023; 30:2349-2360. [PMID: 37162738 PMCID: PMC10682302 DOI: 10.1007/s12350-023-03288-2] [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: 03/06/2023] [Accepted: 04/06/2023] [Indexed: 05/11/2023]
Abstract
Advances in the prevention and treatment of cardiovascular disease (CVD) over the last decades have led to a marked reduction in mortality for CVD. Nevertheless, atherosclerosis leading to coronary artery disease and stroke remains one of the most common causes of death in the world. The usefulness of imaging tests in the early identification of disease led to identify subjects at major risk of poor outcomes, suggesting risk factor modification. The aim of this article is to analyze the state of art of combined imaging in patients at risk of CVD referred to MPI evaluation, to highlight the present and potential features able to provide incremental prognostic information to help clinicians in patient management and to reduce adverse events.
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Affiliation(s)
- Teresa Mannarino
- Department of Advanced Biomedical Sciences, University "Federico II" of Naples, Via Pansini 5, 80131, Naples, Italy
| | - Adriana D'Antonio
- Department of Advanced Biomedical Sciences, University "Federico II" of Naples, Via Pansini 5, 80131, Naples, Italy
| | - Roberta Assante
- Department of Advanced Biomedical Sciences, University "Federico II" of Naples, Via Pansini 5, 80131, Naples, Italy
| | - Emilia Zampella
- Department of Advanced Biomedical Sciences, University "Federico II" of Naples, Via Pansini 5, 80131, Naples, Italy
| | - Valeria Gaudieri
- Department of Advanced Biomedical Sciences, University "Federico II" of Naples, Via Pansini 5, 80131, Naples, Italy
| | - Mario Petretta
- IRCCS Synlab SDN, Via Gianturco 113, 80142, Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University "Federico II" of Naples, Via Pansini 5, 80131, Naples, Italy
| | - Wanda Acampa
- Department of Advanced Biomedical Sciences, University "Federico II" of Naples, Via Pansini 5, 80131, Naples, Italy.
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14
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Chareonthaitawee P, Bateman TM, Beanlands RS, Berman DS, Calnon DA, Di Carli MF, Heller GV, Murthy VL, Patel KK, Schindler TH, Taqueti VR, Wiefels CC, Al-Mallah MH. Atlas for reporting PET myocardial perfusion imaging and myocardial blood flow in clinical practice: an information statement from the American Society of Nuclear Cardiology. J Nucl Cardiol 2023; 30:2850-2906. [PMID: 37889459 DOI: 10.1007/s12350-023-03378-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Affiliation(s)
| | - Timothy M Bateman
- Department of Cardiology, Saint-Luke's Hospital, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Rob S Beanlands
- Division of Cardiology, University of Ottawa, Ottawa, Canada
| | - Daniel S Berman
- Nuclear Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | | | - Marcelo F Di Carli
- Cardiovascular Imaging Program, Departments of Radiology and Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Gary V Heller
- Gagnon Cardiovascular Institute, Morristown Medical Center, Morristown, New Jersey, USA
| | - Venkatesh L Murthy
- Frankel Cardiovascular Center, University of Michigan, Ann Arbor, Ann Arbor, MI, USA
| | | | - Thomas H Schindler
- Department of Cardiovascular Diseases, Washington University Physicians, St. Louis, MO, USA
| | - Viviany R Taqueti
- Cardiovascular Imaging Program, Departments of Radiology and Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Mouaz H Al-Mallah
- Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
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15
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Berman DS. Making fair comparisons: The potency and necessity of combining myocardial perfusion imaging and CAC scanning. J Nucl Cardiol 2023; 30:1751-1755. [PMID: 37624563 DOI: 10.1007/s12350-023-03362-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/26/2023]
Affiliation(s)
- Daniel S Berman
- Departments of Imaging and Medicine and Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Departments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA.
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16
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Fukushima K, Ito H, Takeishi Y. Comprehensive assessment of molecular function, tissue characterization, and hemodynamic performance by non-invasive hybrid imaging: Potential role of cardiac PETMR. J Cardiol 2023; 82:286-292. [PMID: 37343931 DOI: 10.1016/j.jjcc.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 06/23/2023]
Abstract
Noninvasive cardiovascular imaging plays a key role in diagnosis and patient management including monitoring treatment efficacy. The usefulness of noninvasive cardiovascular imaging has been extensively studied and shown to have high diagnostic reliability and prognostic significance, while the nondiagnostic results frequently encountered with single imaging modality require complementary or alternative imaging techniques. Hybrid cardiac imaging was initially introduced to integrate anatomical and functional information to enhance the diagnostic performance, and lately employed as a strategy for comprehensive assessment of the underlying pathophysiology of diseases. More recently, the utility of computed tomography has grown in diversity, and emerged from being an exploratory technique allowing functional measurement such as stress dynamic perfusion. Cardiac magnetic resonance imaging (CMR) is widely accepted as a robust tool for evaluation of cardiac function, fibrosis, and edema, yielding high spatial resolution and soft-tissue contrast. However, the use of intravenous contrast materials is typically required for accurate diagnosis with these imaging modalities, despite the associated risk of renal toxicity. Nuclear cardiology, established as a molecular imaging technique, has advantages in visualization of the disease-specific biological process at cellular level using numerous probes without requiring contrast materials. Various imaging modalities should be appropriately used sequentially to assess concomitant disease and the progression over time. Therefore, simultaneous evaluation combining high spatial resolution and disease-specific imaging probe is a useful approach to identify the regional activity and the stage of the disease. Given the recent advance and potential of multiparametric CMR and novel nuclide tracers, hybrid positron emission tomography MR is becoming an ideal tool for disease-specific imaging.
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Affiliation(s)
- Kenji Fukushima
- Department of Radiology and Nuclear Medicine, Fukushima Medical University, Fukushima, Japan.
| | - Hiroshi Ito
- Department of Radiology and Nuclear Medicine, Fukushima Medical University, Fukushima, Japan
| | - Yasuchika Takeishi
- Department of Cardiovascular Medicine, Fukushima Medical University, Fukushima, Japan
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17
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David S, Packard RRS. Prevalence and nature of extracardiac findings in PET/CT myocardial perfusion imaging. J Nucl Cardiol 2023; 30:1469-1473. [PMID: 37012524 PMCID: PMC10871668 DOI: 10.1007/s12350-023-03239-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 04/05/2023]
Affiliation(s)
- Sthuthi David
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, 10833 Le Conte Ave., CHS Building Room 17-054A, Los Angeles, CA, 90095, USA
- Ronald Reagan UCLA Medical Center, Los Angeles, CA, USA
- Veterans Affairs West Los Angeles Medical Center, Los Angeles, CA, USA
| | - René R Sevag Packard
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, 10833 Le Conte Ave., CHS Building Room 17-054A, Los Angeles, CA, 90095, USA.
- Ronald Reagan UCLA Medical Center, Los Angeles, CA, USA.
- Veterans Affairs West Los Angeles Medical Center, Los Angeles, CA, USA.
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA.
- Molecular Biology Institute, University of California, Los Angeles, CA, USA.
- California NanoSystems Institute, University of California, Los Angeles, CA, USA.
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18
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AlJaroudi WA, Hage FG. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2022: single photon emission computed tomography. J Nucl Cardiol 2023; 30:452-478. [PMID: 36797458 DOI: 10.1007/s12350-023-03216-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 02/18/2023]
Abstract
In this review, we will summarize a selection of articles on single-photon emission computed tomography published in the Journal of Nuclear Cardiology in 2022. The aim of this review is to concisely recap major advancements in the field to provide the reader a glimpse of the research published in the journal over the last year. This review will place emphasis on myocardial perfusion imaging using single-photon emission computed tomography summarizing advances in the field including in prognosis, non-perfusion variables, attenuation compensation, machine learning and camera design. It will also review nuclear imaging advances in amyloidosis, left ventricular mechanical dyssynchrony, cardiac innervation, and lung perfusion. We encourage interested readers to go back to the original articles, and editorials, for a comprehensive read as necessary but hope that this yearly review will be helpful in reminding readers of articles they have seen and attracting their attentions to ones they have missed.
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Affiliation(s)
- Wael A AlJaroudi
- Division of Cardiovascular Medicine, Augusta University, Augusta, GA, USA
| | - Fadi G Hage
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, GSB 446, 1900 University BLVD, Birmingham, AL, 35294, USA.
- Section of Cardiology, Birmingham Veterans Affairs Medical Center, Birmingham, AL, USA.
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19
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Al-Mallah MH. 30 years of innovation: are you ready for a challenge? J Nucl Cardiol 2023; 30:908-910. [PMID: 36849634 DOI: 10.1007/s12350-023-03230-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Affiliation(s)
- Mouaz H Al-Mallah
- Houston Methodist Academic Institute, Houston, TX, USA.
- Weill Cornell Medicine, New York, NY, USA.
- Cardiovascular PET, Houston Methodist DeBakey Heart and Vascular Center, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA.
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Nayfeh M, Ahmed AI, Alahdab F, Al Rifai M, Al-Mallah M. No contrast? No problem! Value in assessing pericoronary fat in non-contrast studies. Atherosclerosis 2023; 370:3-4. [PMID: 36925333 DOI: 10.1016/j.atherosclerosis.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 02/26/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023]
Affiliation(s)
- Malek Nayfeh
- Houston Methodist Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Ahmed Ibrahim Ahmed
- Houston Methodist Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Fares Alahdab
- Houston Methodist Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Mahmoud Al Rifai
- Houston Methodist Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Mouaz Al-Mallah
- Houston Methodist Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA.
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Affiliation(s)
- Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart and Vascular Center, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA.
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