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Pacheco C, Coutinho T, Bastiany A, Beanlands R, Boczar KE, Gulati M, Liu S, Luu J, Mulvagh SL, Paquin A, Saw J, Sedlak T. Canadian Cardiovascular Society/Canadian Women's Heart Health Alliance Clinical Practice Update on Myocardial Infarction With No Obstructive Coronary Artery Disease (MINOCA). Can J Cardiol 2024; 40:953-968. [PMID: 38852985 DOI: 10.1016/j.cjca.2024.02.032] [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: 12/18/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 06/11/2024] Open
Abstract
Myocardial infarction with no obstructive coronary artery disease (MINOCA) represents 6%-15% of all acute coronary syndromes, and women are disproportionately represented. MINOCA is an encompassing preliminary diagnosis, and emerging evidence supports a more expansive comprehensive diagnostic and therapeutic clinical approach. The current clinical practice update summarizes the latest evidence regarding the epidemiology, clinical presentation, and diagnostic evaluation of MINOCA. A cascaded approach to diagnostic workup is outlined for clinicians, for noninvasive and invasive diagnostic pathways, depending on clinical setting and local availability of diagnostic modalities. Evidence concerning the nonpharmacological and pharmacological treatment of MINOCA are presented and summarized according to underlying cause of MINOCA, with practical tips on the basis of expert opinion, outlining a real-life, evidence-based, comprehensive approach to management of this challenging condition.
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Affiliation(s)
- Christine Pacheco
- Department of Medicine, Hôpital Pierre-Boucher, Centre de santé et de services sociaux de la Montérégie-Est, Longueuil, Québec, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
| | - Thais Coutinho
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Alexandra Bastiany
- Thunder Bay Regional Health Sciences Centre, Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada
| | - Rob Beanlands
- Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Kevin E Boczar
- Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Martha Gulati
- Barbra Streisand Women's Heart Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Shuangbo Liu
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Judy Luu
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Sharon L Mulvagh
- Department of Medicine, Division of Cardiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Amelie Paquin
- Barbra Streisand Women's Heart Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jacqueline Saw
- Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Tara Sedlak
- Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
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Moody JB, Poitrasson-Rivière A, Renaud JM, Hagio T, Alahdab F, Al-Mallah MH, Vanderver MD, Ficaro EP, Murthy VL. Self-supervised deep representation learning of a foundation transformer model enabling efficient ECG-based assessment of cardiac and coronary function with limited labels. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.10.25.23297552. [PMID: 37961713 PMCID: PMC10635192 DOI: 10.1101/2023.10.25.23297552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background: Although deep learning methods have shown great promise for identification of structural and functional cardiac abnormalities using electrocardiographic data, these methods are data hungry, posing a challenge for critically important tasks where ground truth labels are relatively scarce. Impaired coronary microvascular and vasomotor function is difficult to identify with standard clinical methods of cardiovascular testing such as coronary angiography and noninvasive single photon emission tomography (SPECT) myocardial perfusion imaging (MPI). Gold standard data from positron emission tomography (PET) are gaining emphasis in clinical guidelines but are expensive and only available in relatively limited centers. We hypothesized that signals embedded within resting and stress electrocardiograms (ECGs) identify individuals with microvascular and vasomotor dysfunction. Methods: We developed and pretrained a self-supervised foundation vision transformer model using a large database of unlabeled ECG waveforms (N=800,035). We then fine-tuned the foundation model for two clinical tasks: the difficult problem of identifying patients with impaired myocardial flow reserve (AI-MFR), and the relatively easier problem of detecting impaired LVEF (AI-LVEF). A second ECG database was labeled with task-specific annotations derived from quantitative PET MPI (N=4167). Diagnostic accuracy of AI predictions was tested in a holdout set of patients undergoing PET MPI (N=1031). Prognostic evaluation was performed in the PET holdout cohort, as well as independent cohorts of patients undergoing pharmacologic or exercise stress SPECT MPI (N=6635). Results: The diagnostic accuracy of AI-MFR with SSL pretraining increased significantly compared to de novo supervised training (AUROC, sensitivity, specificity: 0.758, 70.1%, 69.4% vs. 0.632, 66.1%, 57.3%, p < 0.0001). SSL pretraining also produced a smaller increase in AI-LVEF accuracy (AUROC, sensitivity, specificity: 0.946, 89.4%, 85.9% vs. 0.918, 87.6%, 82.5%, p < 0.02). Abnormal AI-MFR was found to be significantly associated with mortality risk in all three test cohorts (Hazard Ratio (HR) 2.61 [95% CI 1.83, 3.71], p < 0.0001, PET cohort; HR 2.30 [2.03, 2.61], p < 0.0001, pharmacologic stress SPECT cohort; HR 3.76 [2.36, 5.99], p < 0.0001, exercise stress SPECT cohort). Conclusion: SSL pretraining of a vision transformer foundation model enabled identification of signals predictive of impaired MFR, a hallmark of microvascular and vasomotor dysfunction, and impaired LV function in resting and stress ECG waveforms. These signals are powerful predictors of prognosis in patients undergoing routine noninvasive stress testing and could enable more efficient diagnosis and management of these common conditions.
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Weinberg RL, Sperry BW. A window into the microvasculature: Retinal vascularity and myocardial blood flow. J Nucl Cardiol 2024:101879. [PMID: 38723885 DOI: 10.1016/j.nuclcard.2024.101879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 05/01/2024] [Indexed: 05/24/2024]
Affiliation(s)
- Richard L Weinberg
- Division of Cardiology, Northwestern University Feinberg School of Medicine, USA.
| | - Brett W Sperry
- Saint Luke's Mid America Heart Institute, USA; University of Missouri-Kansas City, Kansas City, MO, USA
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Srinivasa S, Walpert AR, Huck D, Thomas TS, Dunderdale CN, Lee H, Dicarli MF, Adler GK, Grinspoon SK. Coronary Microvascular Dysfunction Is Present Among Well-Treated Asymptomatic Persons With HIV and Similar to Those With Diabetes. Open Forum Infect Dis 2024; 11:ofae234. [PMID: 38813261 PMCID: PMC11134457 DOI: 10.1093/ofid/ofae234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 04/24/2024] [Indexed: 05/31/2024] Open
Abstract
Background Coronary microvascular dysfunction (CMD) could be a potential underlying mechanism for myocardial disease in HIV. Methods Comparisons of coronary flow reserve corrected for heart rate-blood pressure product (CFRCOR) were made among people with HIV (PWH) with no known history of cardiovascular disease (CVD) or diabetes mellitus, persons without HIV (PWOH), and persons with diabetes (PWDM) and no known history of CVD or HIV. Results PWH (n = 39, 74% male, age 55 [7] years, body mass index [BMI] 32.3 (26.8-34.9) kg/m2, duration of antiretroviral therapy 13 [5] years, CD4+ count 754 [598-961] cells/μL) were similar to PWOH (n = 69, 74% male, age 55 [8] years, BMI 32.2[25.6-36.5] kg/m2) and PWDM (n = 63, 63% male, age 55 [8] years, BMI 31.5 [28.6-35.6] kg/m2). CFRCOR was different among groups: PWOH 2.76 (2.37-3.36), PWH 2.47 (1.92-2.93), and PWDM 2.31 (1.98-2.84); overall P = .003. CFRCOR was reduced comparing PWH to PWOH (P = .04) and PWDM to PWOH (P = .007) but did not differ when comparing PWH to PWDM (P = .98). A total 31% of PWH had CFRCOR < 2.0, a critical cutoff for CMD, compared to 14% of PWOH and 27% with PWDM. A total 40% of women with HIV had a CFRCOR < 2.0 compared to 6% of women without HIV (P = .02). Conclusions Subclinical CMD is present among chronically infected and well-treated, asymptomatic PWH who are immunologically controlled. This study demonstrates CFR is reduced in PWH compared to PWOH and comparable to PWDM, further highlighting that well-treated HIV infection is a CVD-risk enhancing factor for CMD similar to diabetes. Clinical Trials Registration: NCT02740179.
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Affiliation(s)
- Suman Srinivasa
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Allie R Walpert
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel Huck
- Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Teressa S Thomas
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Carolyn N Dunderdale
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Hang Lee
- Biostatistics Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marcelo F Dicarli
- Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Gail K Adler
- Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Kunos CA, Martin ME, Georgiou MF, Kuker RA, Chauhan A. Leveraging Programmatic Collaboration for a Radiopharmaceutical Clinic. Cancers (Basel) 2024; 16:1396. [PMID: 38611074 PMCID: PMC11011188 DOI: 10.3390/cancers16071396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/14/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024] Open
Abstract
Radiation oncologists, radiopharmacists, nuclear medicine physicians, and medical oncologists have seen a renewed clinical interest in radiopharmaceuticals for the curative or the palliative treatment of cancer. To allow for the discovery and the clinical advancement of targeted radiopharmaceuticals, these stakeholders have reformed their trial efforts and remodeled their facilities to accommodate the obligations of a program centered upon radioactive investigational drug products. Now considered informally as drugs and not beam radiotherapy, radiopharmaceuticals can be more easily studied in the traditional clinical trial enterprise ranging from phase 0-I to phase III studies. Resources and physical facilities allocated to radiopharmaceuticals have brought forth new logistics and patient experience for safe and satisfactory drug delivery. The clinical use of theranostic agents-that is, diagnostic and therapeutic radionuclide pairs-has accelerated radiopharmaceutical development.
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Affiliation(s)
- Charles A. Kunos
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, 1475 NW 12th Avenue, Suite 1500, Miami, FL 33136, USA
| | - Molly E. Martin
- Department of Radiology, Division of Nuclear Medicine, University of Iowa Health Care, Iowa City, IA 52242, USA;
| | - Michalis F. Georgiou
- Department of Radiology, Division of Nuclear Medicine, University of Miami, Miami, FL 33136, USA
| | - Russ A. Kuker
- Department of Radiology, Division of Nuclear Medicine, University of Miami, Miami, FL 33136, USA
| | - Aman Chauhan
- Department of Medicine, Division of Medical Oncology, University of Miami, Miami, FL 33136, USA;
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Krljanac G, Apostolović S, Polovina M, Maksimović R, Nedeljković Arsenović O, Đorđevic N, Stanković S, Savić L, Ušćumlić A, Stanković S, Ašanin M. Differences in left ventricular myocardial function and infarct size in female patients with ST elevation myocardial infarction and spontaneous coronary artery dissection. Front Cardiovasc Med 2024; 10:1280605. [PMID: 38259320 PMCID: PMC10800883 DOI: 10.3389/fcvm.2023.1280605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction Differences in pathophysiology, clinical presentation, and natural course of ST-elevation myocardial infarction in female patients due to either spontaneous dissection (SCAD-STEMI) or atherothrombotic occlusion (type 1 STEMI) have been discussed. Current knowledge on differences in left ventricular myocardial function and infarct size is limited. The aim of this study was to assess baseline clinical characteristics, imaging findings, and therapeutic approach and to compare differences in echocardiographic findings at baseline and 3-month follow-up in patients with SCAD-STEMI and type 1 STEMI. Methods This was a prospective multicenter study of 32 female patients (18-55 years of age) presenting with either SCAD-STEMI due to left anterior descending coronary artery (LAD) dissection or type 1 STEMI due to atherothrombotic LAD occlusion. Results The two groups were similar in age, risk factors, comorbidities, and complications. SCAD-STEMI patients more often had Thrombolysis in Myocardial Infarction 3 flow, while type 1 STEMI patients were more often treated with percutaneous coronary intervention and dual antiplatelet therapy. Baseline mean left ventricular (LV) ejection fraction (LVEF) was similar in the two groups (48.0% vs. 48.6%, p = 0.881), but there was a significant difference at the 3-month follow-up, driven by an improvement in LVEF in SCAD-STEMI compared to type 1 STEMI patients (Δ LVEF 10.1 ± 5.3% vs. 1.8 ± 5.1%, p = 0.002). LV global longitudinal strain was slightly improved in both groups at follow-up; however, the improvement was not significantly different between groups (-4.6 ± 2.9% vs. -2.0 ± 2.8%, p = 0.055). Conclusions The results suggest that female patients with SCAD-STEMI are more likely to experience improvement in LV systolic function than type 1 STEMI patients.
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Affiliation(s)
- Gordana Krljanac
- Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Svetlana Apostolović
- Coronary Care Unit, Cardiology Clinic, University Clinical Center of Nis, Nis, Serbia
- Faculty of Medicine, University of Nis, Nis, Serbia
| | - Marija Polovina
- Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Ružica Maksimović
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- Center for Radiology and Magnetic Resonance Imaging, University Clinical Center of Serbia, Belgrade, Serbia
| | - Olga Nedeljković Arsenović
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- Center for Radiology and Magnetic Resonance Imaging, University Clinical Center of Serbia, Belgrade, Serbia
| | - Nemanja Đorđevic
- Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
| | - Stefan Stanković
- Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
| | - Lidija Savić
- Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Ana Ušćumlić
- Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Sanja Stanković
- Center for Medical Biochemistry, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Milika Ašanin
- Cardiology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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Chow BJ, Galiwango P, Poulin A, Raggi P, Small G, Juneau D, Kazmi M, Ayach B, Beanlands RS, Sanfilippo AJ, Chow CM, Paterson DI, Chetrit M, Jassal DS, Connelly K, Larose E, Bishop H, Kass M, Anderson TJ, Haddad H, Mancini J, Doucet K, Daigle JS, Ahmadi A, Leipsic J, Lim SP, McRae A, Chou AY. Chest Pain Evaluation: Diagnostic Testing. CJC Open 2023; 5:891-903. [PMID: 38204849 PMCID: PMC10774086 DOI: 10.1016/j.cjco.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/01/2023] [Indexed: 01/12/2024] Open
Abstract
Chest pain/discomfort (CP) is a common symptom and can be a diagnostic dilemma for many clinicians. The misdiagnosis of an acute or progressive chronic cardiac etiology may carry a significant risk of morbidity and mortality. This review summarizes the different options and modalities for establishing the diagnosis and severity of coronary artery disease. An effective test selection algorithm should be individually tailored to each patient to maximize diagnostic accuracy in a timely fashion, determine short- and long-term prognosis, and permit implementation of evidence-based treatments in a cost-effective manner. Through collaboration, a decision algorithm was developed (www.chowmd.ca/cadtesting) that could be adopted widely into clinical practice.
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Affiliation(s)
- Benjamin J.W. Chow
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Paul Galiwango
- Department of Medicine, Scarborough Health Network and Lakeridge Health, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Poulin
- Department of Medicine, Quebec Heart and Lung Institute, Laval University, Quebec, Quebec, Canada
| | - Paolo Raggi
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Gary Small
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Daniel Juneau
- Department of Radiology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Mustapha Kazmi
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Bilal Ayach
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Rob S. Beanlands
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Anthony J. Sanfilippo
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Chi-Ming Chow
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - D. Ian Paterson
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Michael Chetrit
- Department of Cardiovascular Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Davinder S. Jassal
- Department of Physiology and Pathophysiology, Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kim Connelly
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Eric Larose
- Department of Medicine, Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Quebec, Canada
| | - Helen Bishop
- Division of Cardiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Malek Kass
- Department of Internal Medicine, Rady Faculty of Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Todd J. Anderson
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Haissam Haddad
- Division of Cardiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - John Mancini
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Katie Doucet
- Peterborough Regional Health Centre, Kawartha Cardiology Clinic, Peterborough, Ontario, Canada
| | - Jean-Sebastien Daigle
- Department of Internal Medicine, Dr Everett Chalmers Hospital, Fredericton, New Brunswick, Canada
| | - Amir Ahmadi
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jonathan Leipsic
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Siok Ping Lim
- Mayfair Diagnostics, Saskatoon, Saskatchewan, Canada
| | - Andrew McRae
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Annie Y. Chou
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, St. Paul’s Hospital, Vancouver, British Columbia, Canada
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Lima BB, Benz DC. Casting aside the creep: harnessing cardiorespiratory dynamics to optimize myocardial flow assessment in cardiac PET. J Nucl Cardiol 2023; 30:2301-2302. [PMID: 37731013 DOI: 10.1007/s12350-023-03376-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/22/2023]
Affiliation(s)
- Bruno B Lima
- Division of Cardiovascular Medicine, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dominik C Benz
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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Do T, Van A, Ataei A, Sharma S, Mohandas R. Microvascular Dysfunction in Obesity-Hypertension. Curr Hypertens Rep 2023; 25:447-453. [PMID: 37837517 DOI: 10.1007/s11906-023-01272-2] [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] [Accepted: 09/25/2023] [Indexed: 10/16/2023]
Abstract
PURPOSE OF REVIEW This review aims to explore the role of microvascular dysfunction in obesity-hypertension, discuss the effects obesity has on renal microvasculature, review the current methods for assessing microvascular dysfunction and available therapeutic options, and identify critical areas for further research. RECENT FINDINGS There is a strong association between obesity and hypertension. However, the pathophysiology of obesity-hypertension is not clear. Microvascular dysfunction has been linked to hypertension and obesity and could be an important mediator of obesity-related hypertension. Newer therapies for hypertension and obesity could have ameliorating effects on microvascular dysfunction, including GLP-1 agonists and SGLT-2 inhibitors. There is still much progress to be made in our understanding of the complex interplay between obesity, hypertension, and microvascular dysfunction. Continued efforts to understand microvascular dysfunction and its role in obesity-hypertension are crucial to develop precision therapy to target obesity-hypertension.
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Affiliation(s)
- Tammy Do
- Department of Medicine, LSU Health Sciences Center - New Orleans, New Orleans, LA, USA
| | - Ashley Van
- Department of Medicine, LSU Health Sciences Center - New Orleans, New Orleans, LA, USA
| | - Arash Ataei
- Department of Medicine, LSU Health Sciences Center - New Orleans, New Orleans, LA, USA
| | - Swati Sharma
- Section of Nephrology and Hypertension, LSU Health Sciences Center - New Orleans, 2021 Perdido Street, Ste 4325, New Orleans, LA, 70112, USA
| | - Rajesh Mohandas
- Section of Nephrology and Hypertension, LSU Health Sciences Center - New Orleans, 2021 Perdido Street, Ste 4325, New Orleans, LA, 70112, USA.
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10
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Zhang J, Xie J, Li M, Fang W, Hsu B. SPECT myocardial blood flow quantitation for the detection of angiographic stenoses with cardiac-dedicated CZT SPECT. J Nucl Cardiol 2023; 30:2618-2632. [PMID: 37491508 DOI: 10.1007/s12350-023-03334-z] [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: 02/11/2023] [Accepted: 06/16/2023] [Indexed: 07/27/2023]
Abstract
PURPOSE CZT SPECT with the enhanced imaging characteristic facilitates SPECT myocardial blood flow (MBF) quantitation moving toward a clinical utility to uncover myocardial ischemia. The purpose of this study was to investigate the diagnostic performance of stress MBF, myocardial flow reserve (MFR) and myocardial flow capacity (MFC) derived from CZT SPECT in the detection of coronary artery disease (CAD). METHODS One-hundred and eighty patients underwent two-day rest/adenosine-stress scans for SPECT MBF quantitation. All dynamic SPECT images were reconstructed and corrected with necessary corrections. The one-tissue two-compartment kinetic model was utilized to fit kinetic parameters (K1, k2 and FBV) by numeric optimization and converted to MBF from K1. Rest MBF, stress MBF and MFR in left ventricle and coronary territories were calculated from flow polar maps. MFC was assessed by extents of moderately and severely abnormal flow statuses using an integrated flow diagram. Per-patient and per-vessel analyses were performed to determine cutoff values for the detection of angiographically obstructive and flow-limited CAD. RESULTS Using the threshold of ≥ 50% stenosis, 149 patients (82.78%) were classified to have obstructive lesions in 355 vessels (65.74%). Using the threshold of ≥ 70% stenosis, 113 patients (62.78%) were classified to have flow-limited lesions in 282 vessels (52.22%). On per-patient analysis, the optimal cutoff values of stress MBF and MFR to detect ≥ 50% stenosis were (1.44 ml/min/g, 1.96) and (1.34 ml/min/g and 1.75) to detect ≥ 70% stenosis. The optimal cutoff values for severely and combined moderately severely abnormal MFC extents were (2.3-2.5%, 23.1%) and (7.5%, 29.4%), respectively. The overall sensitivity of MFC (0.84-0.86, 0.86-0.90) to detect ≥ 50% and ≥ 70% lesions surpassed those of stress MBF (0.78. 0.78) and MFR (0.80, 0.75) (all p < 0.05) with similar specificity (MFC = 0.84-0.90, 0.87-0.91; stress MBF = 0.87, 0.91; MFR = 0.84, 0.89) (all p≥ 0.05). CONCLUSION The non-invasive SPECT MBF quantitation using CZT SPECT is a reliable method to detect angiographically obstructive and flow-limited CAD. Myocardial flow capacity can outperform with higher diagnostic sensitivity than stress MBF or MFR alone.
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Affiliation(s)
- Jie Zhang
- Department of Nuclear Medicine, Henan Provincial People's Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jian Xie
- Department of Nuclear Medicine, Henan Provincial People's Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Muwei Li
- Department of Nuclear Medicine, Henan Provincial People's Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Fang
- Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bailing Hsu
- Nuclear Science and Engineering Institute, University of Missouri-Columbia, E2433 Lafferre Hall, Columbia, MO, 65211, USA.
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Li EJ, López JE, Spencer BA, Abdelhafez Y, Badawi RD, Wang G, Cherry SR. Total-Body Perfusion Imaging with [ 11C]-Butanol. J Nucl Med 2023; 64:1831-1838. [PMID: 37652544 PMCID: PMC10626376 DOI: 10.2967/jnumed.123.265659] [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: 03/02/2023] [Revised: 07/17/2023] [Indexed: 09/02/2023] Open
Abstract
Tissue perfusion can be affected by physiology or disease. With the advent of total-body PET, quantitative measurement of perfusion across the entire body is possible. [11C]-butanol is a perfusion tracer with a superior extraction fraction compared with [15O]-water and [13N]-ammonia. To develop the methodology for total-body perfusion imaging, a pilot study using [11C]-butanol on the uEXPLORER total-body PET/CT scanner was conducted. Methods: Eight participants (6 healthy volunteers and 2 patients with peripheral vascular disease [PVD]) were injected with a bolus of [11C]-butanol and underwent 30-min dynamic acquisitions. Three healthy volunteers underwent repeat studies at rest (baseline) to assess test-retest reproducibility; 1 volunteer underwent paired rest and cold pressor test (CPT) studies. Changes in perfusion were measured in the paired rest-CPT study. For PVD patients, local changes in perfusion were investigated and correlated with patient medical history. Regional and parametric kinetic analysis methods were developed using a 1-tissue compartment model and leading-edge delay correction. Results: Estimated baseline perfusion values ranged from 0.02 to 1.95 mL·min-1·cm-3 across organs. Test-retest analysis showed that repeat baseline perfusion measurements were highly correlated (slope, 0.99; Pearson r = 0.96, P < 0.001). For the CPT subject, the largest regional increases were in skeletal muscle (psoas, 142%) and the myocardium (64%). One of the PVD patients showed increased collateral vessel growth in the calf because of a peripheral stenosis. Comorbidities including myocardial infarction, hypothyroidism, and renal failure were correlated with variations in organ-specific perfusion. Conclusion: This pilot study demonstrates the ability to obtain reproducible measurements of total-body perfusion using [11C]-butanol. The methods are sensitive to local perturbations in flow because of physiologic stressors and disease.
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Affiliation(s)
- Elizabeth J Li
- Department of Biomedical Engineering, UC Davis, Davis, California
| | - Javier E López
- Department of Internal Medicine, Division of Cardiovascular Medicine, UC Davis Health, UC Davis, Sacramento, California; and
| | | | - Yasser Abdelhafez
- Department of Radiology, UC Davis Health, UC Davis, Sacramento, California
| | - Ramsey D Badawi
- Department of Biomedical Engineering, UC Davis, Davis, California
- Department of Radiology, UC Davis Health, UC Davis, Sacramento, California
| | - Guobao Wang
- Department of Radiology, UC Davis Health, UC Davis, Sacramento, California
| | - Simon R Cherry
- Department of Biomedical Engineering, UC Davis, Davis, California;
- Department of Radiology, UC Davis Health, UC Davis, Sacramento, California
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12
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Kaimoto Y, Fukushima K, Kanaya K, Asanuma M, Aoba K, Yamamoto A, Nakao R, Kaneko K, Nagao M, Chida K. Optimization of Intraventricular Radioactive Concentration for 13N ammonia PET with Time-of-Flight Scanner: Simplified Phantom Study with Noise Equivalent Count Rate Analysis. ANNALS OF NUCLEAR CARDIOLOGY 2023; 9:33-39. [PMID: 38058574 PMCID: PMC10696149 DOI: 10.17996/anc.23-00178] [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: 11/17/2022] [Revised: 02/02/2023] [Accepted: 02/09/2023] [Indexed: 12/08/2023]
Abstract
Background: Myocardial blood flow quantification (MBF) is one of the distinctive features for cardiac positron emission tomography. The MBF calculation is mostly obtained by estimating the input function from the time activity curve in dynamic scan. However, there is a substantial risk of count-loss because the high radioactivity pass through the left ventricular (LV) cavity within a short period. We aimed to determine the optimal intraventricular activity using the noise equivalent count rate (NECR) analysis with simplified phantom model. Methods: Positron emission tomography computed tomography scanner with LYSO crystal and time of flight was used for phantom study. 150 MBq/mL of 13N was filled in 10 mL of syringe, placed in neck phantom to imitate end-systolic small LV. 3D list-mode acquisition was repeatedly performed along radioactive decay. Net true and random count rate were calculated and compared to the theoretical activity in the syringe. NECR curve analysis was used to determine the optimal radioactive concentration. Result: The attenuation curves showed good correlation to the theoretical activity between 20 to 370, and 370 to 740 MBq (r2=1.0 ± 0.0001, p<0.0001; r2=0.99 ± 0.0001, p<0.0001 for 20 to 370, and 370 to 740, respectively), while did not over 740 MBq (p=0.62). NECR analysis revealed that the peak rate was at 2.9 Mcps, there at the true counts were significantly suppressed. The optimal radioactive concentration was determined as 36 MBq/mL. Conclusion: Simulative analysis for high-dose of 13N using the phantom imitating small LV confirmed that the risk of count-loss was increased. The result can be useful information in assessing the feasibility of MBF quantification in clinical routine.
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Affiliation(s)
- Yoko Kaimoto
- Department of Radiological service, Tokyo Woman's Medical University, Tokyo, Japan
- Department of Health Sciences, Graduate School of Medicine, Tohoku University, Miyagi, Japan
| | - Kenji Fukushima
- Department of Radiology and Nuclear Medicine, Fukushima Medical University, Fukushima, Japan
| | - Kazuko Kanaya
- Department of Radiological service, Tokyo Woman's Medical University, Tokyo, Japan
| | - Masayasu Asanuma
- Department of Radiological service, Tokyo Woman's Medical University, Tokyo, Japan
| | - Kaoru Aoba
- Department of Radiological service, Tokyo Woman's Medical University, Tokyo, Japan
| | - Atsushi Yamamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan
- Department of Cardiology, Tokyo Women's Medical University, Tokyo, Japan
| | - Risako Nakao
- Department of Cardiology, Tokyo Women's Medical University, Tokyo, Japan
| | - Koichiro Kaneko
- Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan
| | - Michinobu Nagao
- Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan
| | - Koichi Chida
- Department of Health Sciences, Graduate School of Medicine, Tohoku University, Miyagi, Japan
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Patel KK, McGhie AI, Kennedy KF, Thompson RC, Spertus JA, Sperry BW, Shaw LJ, Bateman TM. Impact of Positron Emission Tomographic Myocardial Perfusion Imaging on Patient Selection for Revascularization. J Am Coll Cardiol 2023; 82:1662-1672. [PMID: 37852696 DOI: 10.1016/j.jacc.2023.08.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/12/2023] [Accepted: 08/14/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND Positron emission tomography (PET) myocardial perfusion imaging (MPI) quantifies left ventricular ejection fraction (LVEF) at peak stress. PET LVEF reserve (LVEF-R = stress LVEF - rest LVEF) offers diagnostic and prognostic value. OBJECTIVES The purpose of this study was to determine if PET LVEF-R identifies patients with survival benefit postrevascularization. METHODS We followed 14,649 unique consecutive patients undergoing 82Rb rest/stress PET MPI from January 2010 to January 2016 (excluding known cardiomyopathy). Adjusted Cox models were built to predict all-cause death, and the 3-way interaction of known coronary artery disease (CAD) (prior myocardial infarction/revascularization), LVEF-R, and 90-day revascularization was tested. RESULTS Known CAD was present in 4,982 (34.0%). Ischemia was detected in 5,396 (36.8%; ≥10% in 1,909 [13%]). Mean LVEF-R was 4.2% ± 5.7%, and was ≤0, 1 to 5, and >5 in 3,349 (22.9%), 5,266 (35.9%), and 6,034 (41.2%). Over median follow-up of 3.4 years (IQR: 1.9-5.2 years), 1,324 (8.1%) had 90-day revascularization, and there were 2,192 (15.0%) deaths. In multivariable modeling, there was a significant 3-way interaction among known CAD, LVEF-R, and 90-day revascularization (P = 0.025), such that LVEF-R ≤0 identified patients with survival benefit with 90-day revascularization in those without prior CAD (interaction P = 0.005), independently beyond percent ischemia and myocardial flow reserve. Among patients with known CAD, LVEF-R was not prognostic of death (HR: 0.99; 95% CI: 0.98-1.02; P = 0.98). CONCLUSIONS A lack of augmentation or drop in LVEF with vasodilator stress on PET MPI independently identifies patients who have better survival with revascularization within 90 days post-MPI compared with medical therapy, in absence of prior myocardial infarction or revascularization. Multiparametric assessment of ischemia with PET can optimize post-test management.
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Affiliation(s)
- Krishna K Patel
- Icahn School of Medicine at Mount Sinai, New York, New York, USA; Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.
| | - A Iain McGhie
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Kevin F Kennedy
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Randall C Thompson
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA
| | - John A Spertus
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Brett W Sperry
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Timothy M Bateman
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA
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14
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Hulten E, Keating FK. Diagnosis of diffuse ischemia with SPECT relative perfusion imaging: How to eat soup with a fork? J Nucl Cardiol 2023; 30:2039-2042. [PMID: 37193922 DOI: 10.1007/s12350-023-03286-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 05/18/2023]
Affiliation(s)
- Edward Hulten
- Lifespan Cardiovascular Institute, Providence, RI, USA
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Friederike K Keating
- Department of Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA.
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15
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Koenders SS, van Dalen JA, Jager PL, Mouden M, Slump CH, van Dijk JD. Patient-tailored risk assessment of obstructive coronary artery disease using Rubidium-82 PET-based myocardial flow quantification with visual interpretation. J Nucl Cardiol 2023; 30:1890-1896. [PMID: 37076608 PMCID: PMC10558363 DOI: 10.1007/s12350-023-03237-z] [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: 09/08/2022] [Accepted: 02/09/2023] [Indexed: 04/21/2023]
Abstract
INTRODUCTION Our aim was to estimate the probability of obstructive CAD (oCAD) for an individual patient as a function of the myocardial flow reserve (MFR) measured with Rubidium-82 (Rb-82) PET in patients with a visually normal or abnormal scan. MATERIALS AND METHODS We included 1519 consecutive patients without a prior history of CAD referred for rest-stress Rb-82 PET/CT. All images were visually assessed by two experts and classified as normal or abnormal. We estimated the probability of oCAD for visually normal scans and scans with small (5%-10%) or larger defects (> 10%) as function of MFR. The primary endpoint was oCAD on invasive coronary angiography, when available. RESULTS 1259 scans were classified as normal, 136 with a small defect and 136 with a larger defect. For the normal scans, the probability of oCAD increased exponentially from 1% to 10% when segmental MFR decreased from 2.1 to 1.3. For scans with small defects, the probability increased from 13% to 40% and for larger defects from 45% to > 70% when segmental MFR decreased from 2.1 to 0.7. CONCLUSION Patients with > 10% risk of oCAD can be distinguished from patients with < 10% risk based on visual PET interpretation only. However, there is a strong dependence of MFR on patient's individual risk of oCAD. Hence, combining both visual interpretation and MFR results in a better individual risk assessment which may impact treatment strategy.
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Affiliation(s)
- S. S. Koenders
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK Zwolle, The Netherlands
- Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - J. A. van Dalen
- Department of Medical Physics, Isala Hospital, Zwolle, The Netherlands
| | - P. L. Jager
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK Zwolle, The Netherlands
| | - M. Mouden
- Department of Cardiology, Isala Hospital, Zwolle, The Netherlands
| | - C. H. Slump
- Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - J. D. van Dijk
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK Zwolle, The Netherlands
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16
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Bober RM, Milani RV, Kachur SM, Morin DP. Assessment of resting myocardial blood flow in regions of known transmural scar to confirm accuracy and precision of 3D cardiac positron emission tomography. EJNMMI Res 2023; 13:87. [PMID: 37752344 PMCID: PMC10522549 DOI: 10.1186/s13550-023-01037-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 09/20/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Composite invasive and non-invasive data consistently demonstrate that resting myocardial blood flow (rMBF) in regions of known transmural myocardial scar (TMS) converge on a value of ~ 0.30 mL/min/g or lower. This value has been confirmed using the 3 most common myocardial perfusion agents (13N, 15O-H2O and 82Rb) incorporating various kinetic models on older 2D positron emission tomography (PET) systems. Thus, rMBF in regions of TMS can serve as a reference "truth" to evaluate low-end accuracy of various PET systems and software packages (SWPs). Using 82Rb on a contemporary 3D-PET-CT system, we sought to determine whether currently available SWP can accurately and precisely measure rMBF in regions of known TMS. RESULTS Median rMBF (in mL/min/g) and COV in regions of TMS were 0.71 [IQR 0.52-1.02] and 0.16 with 4DM; 0.41 [0.34-0.54] and 0.10 with 4DM-FVD; 0.66 [0.51-0.85] and 0.11 with Cedars; 0.51 [0.43-0.61] and 0.08 with Emory-Votaw; 0.37 [0.30-0.42], 0.07 with Emory-Ottawa, and 0.26 [0.23-0.32], COV 0.07 with HeartSee. CONCLUSIONS SWPs varied widely in low end accuracy based on measurement of rMBF in regions of known TMS. 3D PET using 82Rb and HeartSee software accurately (0.26 mL/min/g, consistent with established values) and precisely (COV = 0.07) quantified rMBF in regions of TMS. The Emory-Ottawa software yielded the next-best accuracy (0.37 mL/min/g), though rMBF was higher than established gold-standard values in ~ 5% of the resting scans. 4DM, 4DM-FDV, Cedars and Emory-Votaw SWP consistently resulted values higher than the established gold standard (0.71, 0.41, 0.66, 0.51 mL/min/g, respectively), with higher interscan variability (0.16, 0.11, 0.11, and 0.09, respectively). TRIAL REGISTRATION clinicaltrial.gov, NCT05286593, Registered December 28, 2021, https://clinicaltrials.gov/ct2/show/NCT05286593 .
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Affiliation(s)
- Robert M Bober
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Health, 1514 Jefferson Highway, New Orleans, LA, 70121-2483, USA.
- Ochsner Clinical School, Queensland University School of Medicine, New Orleans, LA, USA.
| | - Richard V Milani
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Health, 1514 Jefferson Highway, New Orleans, LA, 70121-2483, USA
- Ochsner Clinical School, Queensland University School of Medicine, New Orleans, LA, USA
| | - Sergey M Kachur
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Health, 1514 Jefferson Highway, New Orleans, LA, 70121-2483, USA
| | - Daniel P Morin
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Health, 1514 Jefferson Highway, New Orleans, LA, 70121-2483, USA
- Ochsner Clinical School, Queensland University School of Medicine, New Orleans, LA, USA
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Hughes DL, Pan J, Answine AR, Sonnenday CJ, Waits SA, Kumar SS, Menees DS, Wanamaker B, Bhave NM, Tincopa MA, Fontana RJ, Sharma P. Positron emission tomography myocardial perfusion imaging (PET MPI) findings predictive of post-liver transplant major adverse cardiac events. Liver Transpl 2023; 29:970-978. [PMID: 36879556 DOI: 10.1097/lvt.0000000000000118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 01/24/2023] [Indexed: 03/08/2023]
Abstract
Positron emission tomography myocardial perfusion imaging (PET MPI) is a noninvasive diagnostic test capable of detecting coronary artery disease, structural heart disease, and myocardial flow reserve (MFR). We aimed to determine the prognostic utility of PET MPI to predict post-liver transplant (LT) major adverse cardiac events (MACE). Among the 215 LT candidates that completed PET MPI between 2015 and 2020, 84 underwent LT and had 4 biomarker variables of clinical interest on pre-LT PET MPI (summed stress and difference scores, resting left ventricular ejection fraction, global MFR). Post-LT MACE were defined as acute coronary syndrome, heart failure, sustained arrhythmia, or cardiac arrest within the first 12 months post-LT. Cox regression models were constructed to determine associations between PET MPI variable/s and post-LT MACE. The median LT recipient age was 58 years, 71% were male, 49% had NAFLD, 63% reported prior smoking, 51% had hypertension, and 38% had diabetes mellitus. A total of 20 MACE occurred in 16 patients (19%) at a median of 61.5 days post-LT. One-year survival of MACE patients was significantly lower than those without MACE (54% vs. 98%, p =0.001). On multivariate analysis, reduced global MFR ≤1.38 was associated with a higher risk of MACE [HR=3.42 (1.23-9.47), p =0.019], and every % reduction in left ventricular ejection fraction was associated with an 8.6% higher risk of MACE [HR=0.92 (0.86-0.98), p =0.012]. Nearly 20% of LT recipients experienced MACE within the first 12 months of LT. Reduced global MFR and reduced resting left ventricular ejection fraction on PET MPI among LT candidates were associated with increased risk of post-LT MACE. Awareness of these PET-MPI parameters may help improve cardiac risk stratification of LT candidates if confirmed in future studies.
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Affiliation(s)
- Dempsey L Hughes
- Division of Gastroenterology and Hepatology, Northwestern University, Chicago, Illinois, USA
| | - Jason Pan
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA
| | - Adeline R Answine
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Seth A Waits
- Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Sathish S Kumar
- Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Daniel S Menees
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Brett Wanamaker
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicole M Bhave
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Monica A Tincopa
- Division of Gastroenterology and Hepatology, University of California San Diego, San Diego, California
| | - Robert J Fontana
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA
| | - Pratima Sharma
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA
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18
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Van Tosh A, Nichols KJ. SPECT measurements of myocardial blood flow and flow reserve: from development to implementation. J Nucl Cardiol 2023; 30:1437-1442. [PMID: 37160851 DOI: 10.1007/s12350-023-03273-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 04/04/2023] [Indexed: 05/11/2023]
Affiliation(s)
- Andrew Van Tosh
- Research Department, St. Francis Hospital, 100 Port Washington Blvd., Roslyn, NY, 11576-1348, USA.
| | - Kenneth J Nichols
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
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19
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van Dalen JA, Koenders SS, Metselaar RJ, Vendel BN, Slotman DJ, Mouden M, Slump CH, van Dijk JD. Machine learning based model to diagnose obstructive coronary artery disease using calcium scoring, PET imaging, and clinical data. J Nucl Cardiol 2023; 30:1504-1513. [PMID: 36622542 DOI: 10.1007/s12350-022-03166-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/15/2022] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Accurate risk stratification in patients with suspected stable coronary artery disease is essential for choosing an appropriate treatment strategy. Our aim was to develop and validate a machine learning (ML) based model to diagnose obstructive CAD (oCAD). METHOD We retrospectively have included 1007 patients without a prior history of CAD who underwent CT-based calcium scoring (CACS) and a Rubidium-82 PET scan. The entire dataset was split 4:1 into a training and test dataset. An ML model was developed on the training set using fivefold stratified cross-validation. The test dataset was used to compare the performance of expert readers to the model. The primary endpoint was oCAD on invasive coronary angiography (ICA). RESULTS ROC curve analysis showed an AUC of 0.92 (95% CI 0.90-0.94) for the training dataset and 0.89 (95% CI 0.84-0.93) for the test dataset. The ML model showed no significant differences as compared to the expert readers (p ≥ 0.03) in accuracy (89% vs. 88%), sensitivity (68% vs. 69%), and specificity (92% vs. 90%). CONCLUSION The ML model resulted in a similar diagnostic performance as compared to expert readers, and may be deployed as a risk stratification tool for obstructive CAD. This study showed that utilization of ML is promising in the diagnosis of obstructive CAD.
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Affiliation(s)
- J A van Dalen
- Department of Medical Physics, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands.
| | - S S Koenders
- Department of Nuclear Medicine, Isala Hospital, Zwolle, The Netherlands
- Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - R J Metselaar
- Department of Nuclear Medicine, Isala Hospital, Zwolle, The Netherlands
- Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - B N Vendel
- Department of Nuclear Medicine, Isala Hospital, Zwolle, The Netherlands
| | - D J Slotman
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
| | - M Mouden
- Department of Cardiology, Isala Hospital, Zwolle, The Netherlands
| | - C H Slump
- Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - J D van Dijk
- Department of Nuclear Medicine, Isala Hospital, Zwolle, The Netherlands
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20
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Ruddy TD, Tavoosi A, Taqueti VR. Role of nuclear cardiology in diagnosis and risk stratification of coronary microvascular disease. J Nucl Cardiol 2023; 30:1327-1340. [PMID: 35851643 DOI: 10.1007/s12350-022-03051-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 05/22/2022] [Indexed: 10/17/2022]
Abstract
Coronary flow reserve (CFR) with positron emission tomography/computed tomography (PET/CT) has an important role in the diagnosis of coronary microvascular disease (CMD), aids risk stratification and may be useful in monitoring therapy. CMD contributes to symptoms and a worse prognosis in patients with coronary artery disease (CAD), nonischemic cardiomyopathies, and heart failure. CFR measurements may improve our understanding of the role of CMD in symptoms and prognosis in CAD and other cardiovascular diseases. The clinical presentation of CAD has changed. The prevalence of nonobstructive CAD has increased to about 50% of patients with angina undergoing angiography. Ischemia with nonobstructive arteries (INOCA) is recognized as an important cause of symptoms and has an adverse prognosis. Patients with INOCA may have ischemia due to CMD, epicardial vasospasm or diffuse nonobstructive CAD. Reduced CFR in patients with INOCA identifies a high-risk group that may benefit from management strategies specific for CMD. Although measurement of CFR by PET/CT has excellent accuracy and repeatability, use is limited by cost and availability. CFR measurement with single-photon emission tomography (SPECT) is feasible, validated, and would increase availability and use of CFR. Patients with CMD can be identified by reduced CFR and selected for specific therapies.
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Affiliation(s)
- Terrence D Ruddy
- Division of Cardiology, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada.
| | - Anahita Tavoosi
- Division of Cardiology, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Viviany R Taqueti
- Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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21
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Choi JH, Han S, Shin E, Oh M, Moon JE, Chae SY, Lee CW, Moon DH. Associations of cardiovascular and diabetes-related risk factors with myocardial perfusion reserve assessed by 201Tl/ 99mTc-tetrofosmin single-photon emission computed tomography in patients with diabetes mellitus and stable coronary artery disease. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:1605-1613. [PMID: 37261681 DOI: 10.1007/s10554-023-02859-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/21/2023] [Indexed: 06/02/2023]
Abstract
We aimed to examine the associations of cardiovascular risk factors with myocardial perfusion reserve (MPR) in patients with type 2 diabetes and stable coronary artery disease. The study patients were retrospectively identified from a database of patients with diabetes and stable coronary artery disease at Asan Medical Center (Seoul, Republic of Korea), covering the period from 2017 to 2019. The primary outcome variable was MPR assessed by dynamic stress 201Tl/rest 99mTc-tetrofosmin SPECT. Univariable and stepwise multivariable analyses were performed to assess the associations of cardiovascular risk factors with MPR. A total of 276 patients (236 men and 40 women) were included. The median global MPR was 2.4 (interquartile range 1.9-3.0). Seventy-five (27.2%) patients had an MPR < 2.0. Multivariable linear regression showed that smoking (ß = - 0.44, 95% confidence interval - 0.68 to - 0.21, P < 0.001), hypertension (ß = - 0.24, 95% confidence interval - 0.47 to - 0.02, P = 0.033), and summed difference score (ß = - 0.05, 95% confidence interval - 0.07 to - 0.03, P < 0.001) were independently associated with MPR. Abnormal MPR (< 2.0) was associated with a higher incidence of cardiac death or myocardial infarction (P = 0.034). MPR assessed by dynamic stress 201Tl/rest 99mTc-tetrofosmin SPECT was impaired in a large cohort of patients with diabetes. After adjusting for risk variables, including standard myocardial perfusion imaging characteristics, smoking, and hypertension were associated with MPR. Our results may aid in identifying patients with impaired MPR and stratifying patients with type 2 diabetes.
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Affiliation(s)
- Joon Ho Choi
- Department of Nuclear Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea
| | - Sangwon Han
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Eonwoo Shin
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Minyoung Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Ji Eun Moon
- Department of Biostatistics, Clinical Trial Center, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea
| | - Sun Young Chae
- Department of Nuclear Medicine, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Republic of Korea
| | - Cheol Whan Lee
- Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Dae Hyuk Moon
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
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22
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deKemp RA. Toward improved standardization of PET myocardial blood flow. J Nucl Cardiol 2023; 30:1297-1299. [PMID: 37405673 DOI: 10.1007/s12350-023-03324-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 06/09/2023] [Indexed: 07/06/2023]
Affiliation(s)
- Robert A deKemp
- Cardiac Imaging, University of Ottawa Heart Institute, Ottawa, Canada.
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23
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Mezue K, Chow D, Tawakol A, Fakhri GE, Osborne MT. PET myocardial perfusion imaging in superior vena cava syndrome. J Nucl Cardiol 2023; 30:1720-1724. [PMID: 35764777 PMCID: PMC9794631 DOI: 10.1007/s12350-022-03033-1] [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: 05/28/2022] [Accepted: 05/31/2022] [Indexed: 12/31/2022]
Affiliation(s)
- Kenechukwu Mezue
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St.; Yawkey 5B, Boston, MA, 02114, USA
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St.; Yawkey 5B, Boston, MA, 02114, USA
| | - David Chow
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA
| | - Ahmed Tawakol
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St.; Yawkey 5B, Boston, MA, 02114, USA
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St.; Yawkey 5B, Boston, MA, 02114, USA
| | - Georges El Fakhri
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA
- Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA
| | - Michael T Osborne
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St.; Yawkey 5B, Boston, MA, 02114, USA.
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St.; Yawkey 5B, Boston, MA, 02114, USA.
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24
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Højstrup S, Hansen KW, Talleruphuus U, Marner L, Bjerking L, Jakobsen L, Christiansen EH, Bouchelouche K, Wiinberg N, Guldbrandsen K, Galatius S, Prescott E. Myocardial Flow Reserve, an Independent Prognostic Marker of All-Cause Mortality Assessed by 82Rb PET Myocardial Perfusion Imaging: A Danish Multicenter Study. Circ Cardiovasc Imaging 2023; 16:e015184. [PMID: 37529907 DOI: 10.1161/circimaging.122.015184] [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: 12/21/2022] [Accepted: 07/10/2023] [Indexed: 08/03/2023]
Abstract
BACKGROUND Rubidium-82 positron emission tomography (82Rb PET) myocardial perfusion imaging is used in clinical practice to quantify regional perfusion defects. Additionally, 82Rb PET provides a measure of absolute myocardial flow reserve (MFR), describing the vasculature state of health. We assessed whether 82Rb PET-derived MFR is associated with all-cause mortality independently of the extent of perfusion defects. METHODS We conducted a multicenter clinical registry-based study of patients undergoing 82Rb PET myocardial perfusion imaging on suspicion of chronic coronary syndromes. Patients were followed up in national registries for the primary outcome of all-cause mortality. Global MFR ≤2 was considered reduced. RESULTS Among 7169 patients studied, 38.1% were women, the median age was 69 (IQR, 61-76) years, and 39.0% had MFR ≤2. A total of 667 (9.3%) patients died during a median follow-up of 3.1 (IQR, 2.6-4.0) years, more in patients with MFR ≤2 versus MFR >2 (15.7% versus 5.2%; P<0.001). MFR ≤2 was associated with all-cause mortality across subgroups defined by the extent of perfusion defects (all P<0.05). In a Cox survival regression model adjusting for sex, age, comorbidities, kidney function, left ventricular ejection fraction, and perfusion defects, MFR ≤2 was a robust predictor of mortality with a hazard ratio of 1.62 (95% CI, 1.31-2.02; P<0.001). Among patients with no reversible perfusion defects (n=3101), MFR ≤2 remained strongly associated with mortality (hazard ratio, 1.86 [95% CI, 1.26-2.73]; P<0.01). The prognostic value of impaired MFR was similar for cardiac and noncardiac death. CONCLUSIONS MFR ≤2 predicts all-cause mortality independently of the extent of perfusion defects. Our results support the inclusion of MFR when assessing the prognosis of patients suspected of chronic coronary syndromes.
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Affiliation(s)
- Signe Højstrup
- Department of Cardiology (S.H., K.W.H., L.B., S.G., E.P.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Kim W Hansen
- Department of Cardiology (S.H., K.W.H., L.B., S.G., E.P.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Ulrik Talleruphuus
- Department of Clinical Physiology and Nuclear Medicine (U.T., L.M., N.W., K.G.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine (U.T., L.M., N.W., K.G.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Louise Bjerking
- Department of Cardiology (S.H., K.W.H., L.B., S.G., E.P.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Lars Jakobsen
- Department of Cardiology (L.J., E.H.C.), Aarhus University Hospital, Denmark
| | | | - Kirsten Bouchelouche
- Department of Nuclear Medicine and PET Center (K.B.), Aarhus University Hospital, Denmark
| | - Niels Wiinberg
- Department of Clinical Physiology and Nuclear Medicine (U.T., L.M., N.W., K.G.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Kasper Guldbrandsen
- Department of Clinical Physiology and Nuclear Medicine (U.T., L.M., N.W., K.G.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital, Rigshospitalet, Denmark (K.G.)
| | - Søren Galatius
- Department of Cardiology (S.H., K.W.H., L.B., S.G., E.P.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - Eva Prescott
- Department of Cardiology (S.H., K.W.H., L.B., S.G., E.P.), Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
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25
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Kei CY, Singh K, Dautov RF, Nguyen TH, Chirkov YY, Horowitz JD. Coronary "Microvascular Dysfunction": Evolving Understanding of Pathophysiology, Clinical Implications, and Potential Therapeutics. Int J Mol Sci 2023; 24:11287. [PMID: 37511046 PMCID: PMC10379859 DOI: 10.3390/ijms241411287] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 07/30/2023] Open
Abstract
Until recently, it has been generally held that stable angina pectoris (SAP) primarily reflects the presence of epicardial coronary artery stenoses due to atheromatous plaque(s), while acute myocardial infarction (AMI) results from thrombus formation on ruptured plaques. This concept is now challenged, especially by results of the ORBITA and ISCHEMIA trials, which showed that angioplasty/stenting does not substantially relieve SAP symptoms or prevent AMI or death in such patients. These disappointing outcomes serve to redirect attention towards anomalies of small coronary physiology. Recent studies suggest that coronary microvasculature is often both structurally and physiologically abnormal irrespective of the presence or absence of large coronary artery stenoses. Structural remodelling of the coronary microvasculature appears to be induced primarily by inflammation initiated by mast cell, platelet, and neutrophil activation, leading to erosion of the endothelial glycocalyx. This leads to the disruption of laminar flow and the facilitation of endothelial platelet interaction. Glycocalyx shedding has been implicated in the pathophysiology of coronary artery spasm, cardiovascular ageing, AMI, and viral vasculitis. Physiological dysfunction is closely linked to structural remodelling and occurs in most patients with myocardial ischemia, irrespective of the presence or absence of large-vessel stenoses. Dysfunction includes the impairment of platelet and vascular responsiveness to autocidal coronary vasodilators, such as nitric oxide, prostacyclin, and hydrogen sulphide, and predisposes both to coronary vasoconstriction and to a propensity for microthrombus formation. These findings emphasise the need for new directions in medical therapeutics for patients with SAP, as well as a wide range of other cardiovascular disorders.
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Affiliation(s)
- Chun Yeung Kei
- Department of Medicine, University of Adelaide, Adelaide 5371, Australia
| | - Kuljit Singh
- Department of Medicine, Griffith University, Southport 4111, Australia
- Gold Coast University Hospital, Gold Coast 4215, Australia
| | - Rustem F Dautov
- Department of Medicine, University of Queensland, Woolloongabba 4102, Australia
- Prince Charles Hospital, Brisbane 4032, Australia
| | - Thanh H Nguyen
- Department of Medicine, University of Adelaide, Adelaide 5371, Australia
- Northern Adelaide Local Health Network, Adelaide 5000, Australia
| | - Yuliy Y Chirkov
- Department of Medicine, University of Adelaide, Adelaide 5371, Australia
- Basil Hetzel Institute for Translational Research, Adelaide 5011, Australia
| | - John D Horowitz
- Department of Medicine, University of Adelaide, Adelaide 5371, Australia
- Basil Hetzel Institute for Translational Research, Adelaide 5011, Australia
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26
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D'Antonio A, Assante R, Zampella E, Mannarino T, Buongiorno P, Cuocolo A, Acampa W. Myocardial blood flow evaluation with dynamic cadmium-zinc-telluride single-photon emission computed tomography: Bright and dark sides. Diagn Interv Imaging 2023; 104:323-329. [PMID: 36797156 DOI: 10.1016/j.diii.2023.02.001] [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: 12/15/2022] [Revised: 02/01/2023] [Accepted: 02/01/2023] [Indexed: 02/16/2023]
Abstract
Myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) assessment with non-invasive techniques represent an important tool to evaluate both coronary artery disease severity and extent. Currently, cardiac positron emission tomography-computed tomography (PET-CT) is the "gold standard" for the assessment of coronary function and provides accurate estimations of baseline and hyperemic MBF and MFR. Nevertheless, due to the high cost and complexity, PET-CT is not widely used in clinical practice. The introduction of cardiac-dedicated cadmium-zinc-telluride (CZT) cameras has renewed researchers' interest on MBF quantitation by single-photon emission computed tomography (SPECT). Indeed, many studies evaluated MPR and MBF measurements by dynamic CZT-SPECT in different cohorts of patients with suspected or overt coronary artery disease. As well, many others have compared the values obtained by CZT-SPECT to the ones by PET-CT, showing good correlations in detecting significant stenosis, although with different and non-standardized cut-off values. Nevertheless, the lack of standardized protocol for acquisition, reconstruction and elaboration makes more difficult to compare different studies and to further assess the real advantages of MBF quantitation by dynamic CZT-SPECT in clinical routine. Many are the issues involved in the bright and dark sides of dynamic CZT-SPECT. They include different type of CZT cameras, different execution protocols, different tracers with different myocardial extraction fraction and distribution, different software packages with different tools and algorithms, often requiring manual post-processing elaboration. This review article provides a clear summary of the state of the art on MBF and MPR evaluation by dynamic CZT-SPECT and outlines the major issues to solve to optimize this technique.
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Affiliation(s)
- Adriana D'Antonio
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Roberta Assante
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Emilia Zampella
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Teresa Mannarino
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Pietro Buongiorno
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Alberto Cuocolo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Wanda Acampa
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
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27
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Fang Z, Cai W, Chen B, Li C, Zhao J, Tian Z, Chen L, Bu J, Zhao Z, Li D. Association between CZT‑SPECT myocardial blood flow and coronary stenosis: A cross‑sectional study. Exp Ther Med 2023; 26:350. [PMID: 37324508 PMCID: PMC10265712 DOI: 10.3892/etm.2023.12049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 04/11/2023] [Indexed: 06/17/2023] Open
Abstract
The association between the quantitative and semi-quantitative parameters of myocardial blood flow obtained using cadmium-zinc-telluride single photon emission computed tomography (CZT-SPECT) and coronary stenosis remains unclear. Therefore, the objective of the present study was to evaluate the diagnostic value of two parameters obtained using CZT-SPECT in patients with suspected or known coronary artery disease. A total of 24 consecutive patients who underwent CZT-SPECT and coronary angiography within 3 months of each other were included in the study. To evaluate the predictive ability of the regional difference score (DS), coronary flow reserve (CFR), and the combination thereof for positive coronary stenosis at the vascular level, receiver operating characteristic (ROC) curves were plotted and the area under the curves (AUCs) were calculated. Comparisons of the reclassification ability for coronary stenosis between different parameters were assessed by calculating the net reclassification index (NRI) and the integrated discrimination improvement (IDI). The 24 participants (median age: 65 years; range: 46-79 years; 79.2% male) included in this study had a total of 72 major coronary arteries. When stenosis ≥50% was defined as the criteria for positive coronary stenosis, the AUCs and the 95% confidence interval (CI) for regional DS, CFR, and the combination of the two indices were 0.653 (CI, 0.541-0.766), 0.731 (CI, 0.610-0.852) and 0.757 (CI, 0.645-0.869), respectively. Compared with single DS, the combination of DS and CFR increased the predictive ability for positive stenosis, with an NRI of 0.197-1.060 (P<0.01) and an IDI of 0.0150-0.1391 (P<0.05). When stenosis ≥75% was considered as the criteria, the AUCs were 0.760 (CI, 0.614-0.906), 0.703 (CI, 0.550-0.855), and 0.811 (CI, 0.676-0.947), respectively. Compared with DS, CFR had an IDI of -0.3392 to -02860 (P<0.05) and the combination of DS and CFR also enhanced the predictive ability, with an NRI of 0.0313-1.0758 (P<0.01). In conclusion, both regional DS and CFR had diagnostic values for coronary stenosis, but the diagnostic abilities differed in distinguishing between different degrees of stenosis, and the efficiency was improved with a combination of DS and CFR.
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Affiliation(s)
- Zhang Fang
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Wenyi Cai
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Bei Chen
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Chunxiang Li
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Jihong Zhao
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Zhiqiang Tian
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Limei Chen
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Ju Bu
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Zhongqiang Zhao
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Dianfu Li
- Department of Cardiology, People's Hospital of Jiangsu Province, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
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28
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Holby SN, Richardson TL, Laws JL, McLaren TA, Soslow JH, Baker MT, Dendy JM, Clark DE, Hughes SG. Multimodality Cardiac Imaging in COVID. Circ Res 2023; 132:1387-1404. [PMID: 37167354 PMCID: PMC10171309 DOI: 10.1161/circresaha.122.321882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Infection with SARS-CoV-2, the virus that causes COVID, is associated with numerous potential secondary complications. Global efforts have been dedicated to understanding the myriad potential cardiovascular sequelae which may occur during acute infection, convalescence, or recovery. Because patients often present with nonspecific symptoms and laboratory findings, cardiac imaging has emerged as an important tool for the discrimination of pulmonary and cardiovascular complications of this disease. The clinician investigating a potential COVID-related complication must account not only for the relative utility of various cardiac imaging modalities but also for the risk of infectious exposure to staff and other patients. Extraordinary clinical and scholarly efforts have brought the international medical community closer to a consensus on the appropriate indications for diagnostic cardiac imaging during this protracted pandemic. In this review, we summarize the existing literature and reference major societal guidelines to provide an overview of the indications and utility of echocardiography, nuclear imaging, cardiac computed tomography, and cardiac magnetic resonance imaging for the diagnosis of cardiovascular complications of COVID.
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Affiliation(s)
- S Neil Holby
- Cardiovascular Medicine Fellowship, Division of Cardiology, Department of Internal Medicine (S.N.H., T.L.R., J.L.L.), Vanderbilt University Medical Center
| | - Tadarro Lee Richardson
- Cardiovascular Medicine Fellowship, Division of Cardiology, Department of Internal Medicine (S.N.H., T.L.R., J.L.L.), Vanderbilt University Medical Center
| | - J Lukas Laws
- Cardiovascular Medicine Fellowship, Division of Cardiology, Department of Internal Medicine (S.N.H., T.L.R., J.L.L.), Vanderbilt University Medical Center
| | - Thomas A McLaren
- Division of Cardiology, Department of Internal Medicine, Department of Radiology & Radiological Sciences (T.A.M., S.G.H.), Vanderbilt University Medical Center
| | - Jonathan H Soslow
- Thomas P. Graham Jr Division of Pediatric Cardiology, Department of Pediatrics (J.H.S.), Vanderbilt University Medical Center
| | - Michael T Baker
- Division of Cardiology, Department of Internal Medicine (M.T.B., J.M.D.), Vanderbilt University Medical Center
| | - Jeffrey M Dendy
- Division of Cardiology, Department of Internal Medicine (M.T.B., J.M.D.), Vanderbilt University Medical Center
| | - Daniel E Clark
- Division of Cardiology, Department of Internal Medicine, Stanford University School of Medicine (D.E.C.)
| | - Sean G Hughes
- Division of Cardiology, Department of Internal Medicine, Department of Radiology & Radiological Sciences (T.A.M., S.G.H.), Vanderbilt University Medical Center
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29
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Krakovich A, Zaretsky U, Gelbart E, Moalem I, Naimushin A, Rozen E, Scheinowitz M, Goldkorn R. Anthropomorphic cardiac phantom for dynamic SPECT. J Nucl Cardiol 2023; 30:516-527. [PMID: 35760983 DOI: 10.1007/s12350-022-03024-2] [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: 03/02/2022] [Accepted: 05/23/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND As myocardial blood flow measurement (MBF) in SPECT systems became recently available, significant effort has been devoted to its validation. For that purpose, we have developed a cardiac phantom that is able to mimic physiological radiotracer variation in the left ventricle cavity and in the myocardium, while performing beating-like motion. The new phantom is integrated inside a standard anthropomorphic torso allowing a realistic tissue attenuation and gamma-ray scattering METHODS AND RESULTS: A mechanical cardiac phantom was integrated in a commercially available anthropomorphic torso. Using a GE Discovery 530c SPECT, measurements were performed. It was found that gamma-ray attenuation effects are significant and limit the MBF measurements to global/three-vessel resolution. Dynamic SPECT experiments were performed to validate MBF accuracy and showed mean relative error of 14%. Finally, the effect of varying radiotracer dose on the accuracy of dynamic SPECT was studied CONCLUSIONS: A dynamic cardiac phantom has been developed and successfully integrated in a standard SPECT torso. A good agreement was found between SPECT-reported MBF values and the expected results. Despite increased noise-to-signal ratio when radiotracer doses were reduced, MBF uncertainty did not increase significantly down to very low doses, thanks to the temporal integration of the activity during the measurement.
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Affiliation(s)
- A Krakovich
- Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel.
| | - U Zaretsky
- Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel
| | - E Gelbart
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - I Moalem
- Nuclear Cardiology Unit, Sheba Medical Center, Lev Leviev Heart Institute, Ramat Gan, Israel
| | - A Naimushin
- Nuclear Cardiology Unit, Sheba Medical Center, Lev Leviev Heart Institute, Ramat Gan, Israel
| | - E Rozen
- Nuclear Cardiology Unit, Sheba Medical Center, Lev Leviev Heart Institute, Ramat Gan, Israel
| | - M Scheinowitz
- Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel
| | - R Goldkorn
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Nuclear Cardiology Unit, Sheba Medical Center, Lev Leviev Heart Institute, Ramat Gan, Israel
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30
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Van Tosh A, Khalique O, Cooke CD, Palestro CJ, Nichols KJ. Indicators of abnormal PET coronary flow capacity in detecting cardiac ischemia. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:631-639. [PMID: 36543909 DOI: 10.1007/s10554-022-02755-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/30/2022] [Indexed: 12/24/2022]
Abstract
Coronary flow capacity (CFC) categorizes severity of left ventricular (LV) ischemia by PET myocardial blood flow (MBF). Our objective was to correlate abnormal CFC with other indicators of regional ischemia. Data were examined retrospectively for 231 patients evaluated for known/suspected CAD who underwent rest and regadenoson-stress 82Rb PET/CT. MBF and myocardial flow reserve (MFR) were quantified, from which CFC was categorized as Normal CFC (1), Minimally reduced (2), Mildly reduced (3), Moderately reduced (4), and Severely reduced (5) for the three main arterial territories as well as globally. Relative perfusion summed stress score (SSS) and systolic phase contraction bandwidth (BW) were assessed. Accuracy to detect arteries with CFC ≥ 4 was highest for a Regional Index combining SSS and BW (88 ± 3%). A Global Index formed from stress ejection fraction, SSS and BW was the most accurate means of identifying patients with global CFC ≥ 4 (84 ± 3%). Arteries with abnormal CFC derived from absolute myocardial blood flow measurements are accurately identified by composite parameters combining regionally aberrant relative perfusion patterns and asynchrony.
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Affiliation(s)
| | | | - C David Cooke
- Department of Radiology, Emory University, Atlanta, GA, USA
| | - Christopher J Palestro
- Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Kenneth J Nichols
- Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
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31
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Tanada T, Ohba M, Kanezawa C, Suzuki K. Quantification of myocardial blood flow and myocardial flow reserve by 13N-NH 3 PET/CT is not significantly affected by pixel size. Int J Cardiovasc Imaging 2023; 39:195-199. [PMID: 36598684 DOI: 10.1007/s10554-022-02639-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 04/29/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE Myocardial blood flow (MBF) and myocardial flow reserve (MFR) are measurable by 13N-NH3 positron emission tomography (PET). MFR, which is the ratio of MBF under adenosine stress to MBF at rest, is prognostically valuable. The ASNC imaging guidelines/SNMMI procedure standards recommend using 2-3 mm pixels, and pixel size does differ between institutions. We sought to evaluate the effects of pixel sizes on the quantitative values calculated from 13N-NH3 PET images. METHODS Thirty consecutive patients with ischemic heart disease who underwent 13N-NH3 PET were retrospectively enrolled. Dynamic images were quantified using PMOD's cardiac PET analysis tool (pixel sizes: 3.18, 2.03, and 1.59 mm). MBF under adenosine stress, MBF at rest, and MFR for the right coronary artery (RCA) region, left anterior descending artery region, and left circumflex coronary artery branch region innervation regions were calculated at each pixel size and compared. RESULTS Quantitative values did not significantly differ according to pixel size in any of the regions. However, MFR values for the RCA fluctuated the most. Ischemic and non-ischemic regions remained visually discernible in qualitative images, with no variation in quantitative values, regardless of pixel size. CONCLUSIONS Quantitative values were not significantly affected by pixel sizes within the recommended range of 2-3 mm. Values for the RCA region may have been overestimated, but this was true for all pixel sizes.
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Affiliation(s)
- Takeo Tanada
- Department of Radiology, Yamagata University Hospital, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan
| | - Makoto Ohba
- Department of Radiology, Yamagata University Hospital, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan.
| | - Chika Kanezawa
- Department of Radiology, Yamagata University Hospital, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan
| | - Koji Suzuki
- Department of Radiology, Yamagata University Hospital, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan
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Bentsen S, Bang LE, Hasbak P, Kjaer A, Ripa RS. Amiodarone attenuates cardiac Rubidium-82 in consecutive PET/CT scans in a rodent model. J Nucl Cardiol 2022; 29:2853-2862. [PMID: 34611850 DOI: 10.1007/s12350-021-02785-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 07/23/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND Risk stratification and diagnosis using Rubidium-82 (82Rb) positron emission tomography (PET) is a routine clinical approach in coronary artery disease (CAD). Various drugs are used to treat CAD; however, whether any of them change the uptake of 82Rb in the heart has not been investigated. The aim of this study is to determine whether drugs used in treatment of CAD affect the uptake of 82Rb in the heart in healthy rats. METHODS Seventy-seven Sprague-Dawley rats were included in the cross-sectional study. All rats underwent baseline 82Rb PET/CT and divided into eleven groups treated with different drugs. One group was control group (no treatment), eight groups were treated with monotherapy (amiodarone, acetylsalicylic acid (ASA), clopidogrel, ticagrelor, atorvastatin, enalapril, amlodipine, metoprolol succinate), and two groups were treated with polypharmacy (ASA, ticagrelor, atorvastatin, amlodipine or ASA, clopidogrel, atorvastatin, amlodipine). Once a day, they were administered pharmacological therapy through oral gavage, and on day seven, follow-up scanned with 82Rb PET/CT. RESULTS In the control group without pharmacological treatment, no difference in the standard uptake value (SUV) ratio between heart and muscle from baseline to follow-up (5.8 vs 7.0, P = .3) was found. The group treated with amiodarone had a significantly reduced SUV ratio from baseline to follow-up (5.8 vs 5.1, P = .008). All other drugs investigated had no difference in SUV ratio from baseline to follow-up. CONCLUSION In this study, we showed that drugs normally used to treat CAD do not affect the uptake of 82Rb. However, amiodarone result in a significantly lowered 82Rb uptake, compared to control. This information about amiodarone would probably not change the size assessment of a myocardial perfusion defect in a clinical setting. However, it could change the kinetic parameters when assessing absolute myocardial blood flow in patients treated with amiodarone.
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Affiliation(s)
- Simon Bentsen
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen, Denmark
- Cluster for Molecular Imaging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lia E Bang
- Department of Cardiology, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
| | - Philip Hasbak
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen, Denmark
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen, Denmark.
- Cluster for Molecular Imaging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Rasmus S Ripa
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen, Denmark
- Cluster for Molecular Imaging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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Improving Detection of CAD and Prognosis with PET/CT Quantitative Absolute Myocardial Blood Flow Measurements. Curr Cardiol Rep 2022; 24:1855-1864. [PMID: 36348147 DOI: 10.1007/s11886-022-01805-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/11/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE OF REVIEW The purpose of this review is to provide an overview of the role of PET MPI in the detection of CAD, focussing on the added value of MBF for diagnosis and prognostication. RECENT FINDINGS Positron emission tomography (PET) myocardial perfusion imaging (MPI) is increasingly used for the risk stratification of patients with suspected or established coronary artery disease (CAD). PET MPI provides accurate and reproducible non-invasive quantification of myocardial blood flow (MBF) at rest and during hyperemia, providing incremental information over conventional myocardial perfusion alone. Inclusion of MBF in PET MPI interpretation improves both its sensitivity and specificity. Moreover, quantitative MBF measurements have repeatedly been shown to offer incremental and independent prognostic information over conventional clinical markers in a broad range of conditions, including in CAD. Quantitative MBF measurement is now an established and powerful tool enabling accurate risk stratification and guiding patients' management. The role of PET MPI and flow quantification in cardiac allograft vasculopathy (CAV), which represents a particular form of CAD, will also be reviewed.
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Smith MF. Assessing if adequate hyperemic response to pharmacologic stress in Rb-82 PET myocardial perfusion imaging is achieved: are biomarkers helpful? J Nucl Cardiol 2022; 29:3218-3220. [PMID: 35396644 DOI: 10.1007/s12350-022-02954-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 01/18/2023]
Affiliation(s)
- Mark F Smith
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene St., Baltimore, MD, 21201, USA.
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Osborne MT, Grewal S, Neilan TG. Call on the reserve: Coronary vasomotor dysfunction is a potential biomarker of cardiovascular risk in patients with breast cancer. J Nucl Cardiol 2022; 29:3082-3085. [PMID: 34907499 PMCID: PMC9192821 DOI: 10.1007/s12350-021-02831-3] [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: 09/29/2021] [Accepted: 09/29/2021] [Indexed: 01/22/2023]
Affiliation(s)
- Michael T Osborne
- Cardiology Division, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St., Yawkey 5E, Boston, MA, 02114-2750, USA.
| | - Simran Grewal
- Cardiology Division, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St., Yawkey 5E, Boston, MA, 02114-2750, USA
| | - Tomas G Neilan
- Cardiology Division, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St., Yawkey 5E, Boston, MA, 02114-2750, USA
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Hagio T, Murthy VL. Deep learning: Opening a third eye to myocardial perfusion imaging. J Nucl Cardiol 2022; 29:3311-3314. [PMID: 35554868 DOI: 10.1007/s12350-022-02959-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 01/18/2023]
Affiliation(s)
- Tomoe Hagio
- INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA.
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
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Gaine SP, Sharma G, Tower-Rader A, Botros M, Kovell L, Parakh A, Wood MJ, Harrington CM. Multimodality Imaging in the Detection of Ischemic Heart Disease in Women. J Cardiovasc Dev Dis 2022; 9:350. [PMID: 36286302 PMCID: PMC9604786 DOI: 10.3390/jcdd9100350] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 11/07/2022] Open
Abstract
Women with coronary artery disease tend to have a worse short and long-term prognosis relative to men and the incidence of atherosclerotic cardiovascular disease is increasing. Women are less likely to present with classic anginal symptoms when compared with men and more likely to be misdiagnosed. Several non-invasive imaging modalities are available for diagnosing ischemic heart disease in women and many of these modalities can also assist with prognostication and help to guide management. Selection of the optimal imaging modality to evaluate women with possible ischemic heart disease is a scenario which clinicians often encounter. Earlier modalities such as exercise treadmill testing demonstrate significant performance variation in men and women, while newer modalities such as coronary CT angiography, myocardial perfusion imaging and cardiac magnetic resonance imaging are highly specific and sensitive for the detection of ischemia and coronary artery disease with greater parity between sexes. Individual factors, availability, diagnostic performance, and female-specific considerations such as pregnancy status may influence the decision to select one modality over another. Emerging techniques such as strain rate imaging, CT-myocardial perfusion imaging and cardiac magnetic resonance imaging present additional options for diagnosing ischemia and coronary microvascular dysfunction.
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Affiliation(s)
- Sean Paul Gaine
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Garima Sharma
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Albree Tower-Rader
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA 02214, USA
| | - Mina Botros
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Lara Kovell
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Anushri Parakh
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Malissa J. Wood
- Division of Cardiology, Massachusetts General Hospital, Boston, MA 02214, USA
| | - Colleen M. Harrington
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA
- Corrigan Women’s Heart Health Program, Massachusetts General Hospital, Boston, MA 02214, USA
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Miller RJH, Hauser MT, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Huang C, Liang JX, Han D, Dey D, Berman DS, Slomka PJ. Machine learning to predict abnormal myocardial perfusion from pre-test features. J Nucl Cardiol 2022; 29:2393-2403. [PMID: 35672567 PMCID: PMC9588501 DOI: 10.1007/s12350-022-03012-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/22/2022] [Accepted: 04/22/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Accurately predicting which patients will have abnormal perfusion on MPI based on pre-test clinical information may help physicians make test selection decisions. We developed and validated a machine learning (ML) model for predicting abnormal perfusion using pre-test features. METHODS We included consecutive patients who underwent SPECT MPI, with 20,418 patients from a multi-center (5 sites) international registry in the training population and 9019 patients (from 2 separate sites) in the external testing population. The ML (extreme gradient boosting) model utilized 30 pre-test features to predict the presence of abnormal myocardial perfusion by expert visual interpretation. RESULTS In external testing, the ML model had higher prediction performance for abnormal perfusion (area under receiver-operating characteristic curve [AUC] 0.762, 95% CI 0.750-0.774) compared to the clinical CAD consortium (AUC 0.689) basic CAD consortium (AUC 0.657), and updated Diamond-Forrester models (AUC 0.658, p < 0.001 for all). Calibration (validation of the continuous risk prediction) was superior for the ML model (Brier score 0.149) compared to the other models (Brier score 0.165 to 0.198, all p < 0.001). CONCLUSION ML can predict abnormal myocardial perfusion using readily available pre-test information. This model could be used to help guide physician decisions regarding non-invasive test selection.
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Affiliation(s)
- Robert J H Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
- Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
- Libin Cardiovascular Institute, Calgary, AB, Canada
| | - M Timothy Hauser
- Section of Nuclear Cardiology, Department of Clinical Imaging, Oklahoma Heart Hospital, Oklahoma City, OK, USA
| | - Tali Sharir
- Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel
- Ben Gurion University of the Negev, Beer Sheba, Israel
| | - Andrew J Einstein
- Division of Cardiology, Department of Medicine and Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
- New York-Presbyterian Hospital, New York, NY, USA
| | - Mathews B Fish
- Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA
| | - Terrence D Ruddy
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | | | - Sharmila Dorbala
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Marcelo Di Carli
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Cathleen Huang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Joanna X Liang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Donghee Han
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Damini Dey
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Daniel S Berman
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Piotr J Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA.
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Mouden M, Jager PL, van Dalen JA, van Dijk JD. Added value of coronary artery calcium score in the reporting of SPECT versus PET myocardial perfusion imaging. J Nucl Cardiol 2022; 29:2448-2456. [PMID: 34476779 DOI: 10.1007/s12350-021-02789-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/27/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND Knowledge of coronary artery calcium score (CACS) influences the interpretation of myocardial perfusion imaging (MPI) with SPECT; however, the impact on PET interpretation remains unclear. We compared the added value of CACS to reporting MPI using SPECT vs PET. METHODS We retrospectively included 412 patients. 206 patients who underwent Rb-82 PET were propensity-based matched to a cohort of 4018 patients who underwent cadmium-zinc-telluride SPECT MPI to obtain a comparable group of 206 SPECT patients. Next, we created four image sets: SPECT MPI-only, PET-only, SPECT + CACS, and PET + CACS. Two physicians interpreted the 824 images as normal, equivocal, or abnormal for ischemia or irreversible defects. Additionally, event rates were compared between PET and SPECT groups during 30-month follow-up. RESULTS PET yielded more scans interpreted as normal than SPECT (88% vs 80%, respectively, P = 0.015). Adding CACS to SPECT increased the percentage of normal scans to 86% (P = 0.014), whereas this effect was absent for PET (90%, P = 0.77). Annualized event rates for images interpreted as normal did not differ and varied between 0.7 and 2.0% (P > 0.084). CONCLUSION Adding CACS correctly increased the percentage of normal scans for SPECT MPI but not for PET, possibly limiting the effect of adding CACS to reporting PET.
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Affiliation(s)
- M Mouden
- Department of Cardiology, Isala Hospital, Zwolle, The Netherlands
| | - P L Jager
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands
| | - J A van Dalen
- Department of Medical Physics, Isala Hospital, Zwolle, The Netherlands
| | - J D van Dijk
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands.
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Van Tosh A, Cao JJ, Votaw JR, Cooke CD, Palestro CJ, Nichols KJ. Clinical implications of compromised 82Rb PET data acquisition. J Nucl Cardiol 2022; 29:2583-2594. [PMID: 34417670 DOI: 10.1007/s12350-021-02774-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 07/26/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND We wished to document the prevalence and quantitative effects of compromised 82Rb PET data acquisitions on myocardial flow reserve (MFR). METHODS AND RESULTS Data were analyzed retrospectively for 246 rest and regadenoson-stress studies of 123 patients evaluated for known or suspected CAD. An automated injector delivered pre-determined activities of 82Rb. Automated quality assurance algorithms identified technical problems for 7% (9/123) of patients. Stress data exhibited 2 instances of scanner saturation, 1 blood peak detection, 1 blood peak width, 1 gradual patient motion, and 2 abrupt patient motion problems. Rest data showed 1 instance of blood peak width and 2 abrupt patient motion problems. MFR was lower for patients with technical problems flagged by the quality assurance algorithms than those without technical problems (1.5 ± 0.5 versus 2.1 ± 0.7, P = 0.01), even though rest and stress ejection fraction, asynchrony and relative myocardial perfusion measures were similar for these two groups (P > 0.05), suggesting that MFR accuracy was adversely affected by technical errors. CONCLUSION It is important to verify integrity of 82Rb data to ensure MFR computation quality.
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Affiliation(s)
- Andrew Van Tosh
- St. Francis Hospital, Roslyn, NY, USA
- Research Department, St. Francis Hospital, 100 Port Washington Blvd., Roslyn, NY, 11576-1348, USA
| | | | | | | | | | - Kenneth J Nichols
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
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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: 1.0] [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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Johnson NP, Gould KL. How shall we judge a PET flow model? J Nucl Cardiol 2022; 29:2551-2554. [PMID: 34561847 DOI: 10.1007/s12350-021-02805-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 08/26/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Nils P Johnson
- Weatherhead PET Center, Division of Cardiology, Department of Medicine, McGovern Medical School at UTHealth and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX, USA.
| | - K Lance Gould
- Weatherhead PET Center, Division of Cardiology, Department of Medicine, McGovern Medical School at UTHealth and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX, USA
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Singh A, Kwiecinski J, Miller RJH, Otaki Y, Kavanagh PB, Van Kriekinge SD, Parekh T, Gransar H, Pieszko K, Killekar A, Tummala R, Liang JX, Di Carli M, Berman DS, Dey D, Slomka PJ. Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography Images. Circ Cardiovasc Imaging 2022; 15:e014526. [PMID: 36126124 PMCID: PMC10035936 DOI: 10.1161/circimaging.122.014526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND We aim to develop an explainable deep learning (DL) network for the prediction of all-cause mortality directly from positron emission tomography myocardial perfusion imaging flow and perfusion polar map data and evaluate it using prospective testing. METHODS A total of 4735 consecutive patients referred for stress and rest 82Rb positron emission tomography between 2010 and 2018 were followed up for all-cause mortality for 4.15 (2.24-6.3) years. DL network utilized polar maps of stress and rest perfusion, myocardial blood flow, myocardial flow reserve, and spill-over fraction combined with cardiac volumes, singular indices, and sex. Patients scanned from 2010 to 2016 were used for training and validation. The network was tested in a set of 1135 patients scanned from 2017 to 2018 to simulate prospective clinical implementation. RESULTS In prospective testing, the area under the receiver operating characteristic curve for all-cause mortality prediction by DL (0.82 [95% CI, 0.77-0.86]) was higher than ischemia (0.60 [95% CI, 0.54-0.66]; P <0.001), myocardial flow reserve (0.70 [95% CI, 0.64-0.76], P <0.001) or a comprehensive logistic regression model (0.75 [95% CI, 0.69-0.80], P <0.05). The highest quartile of patients by DL had an annual all-cause mortality rate of 11.87% and had a 16.8 ([95% CI, 6.12%-46.3%]; P <0.001)-fold increase in the risk of death compared with the lowest quartile patients. DL showed a 21.6% overall reclassification improvement as compared with established measures of ischemia. CONCLUSIONS The DL model trained directly on polar maps allows improved patient risk stratification in comparison with established methods for positron emission tomography flow or perfusion assessments.
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Affiliation(s)
- Ananya Singh
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jacek Kwiecinski
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Robert JH Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiac Sciences, University of Calgary, Calgary AB, Canada
| | - Yuka Otaki
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul B. Kavanagh
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Serge D. Van Kriekinge
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Tejas Parekh
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Heidi Gransar
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Konrad Pieszko
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Interventional Cardiology and Cardiac Surgery, Collegium Medicum, University of Zielona Góra, Zielona Góra, Poland
| | - Aditya Killekar
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ramyashree Tummala
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Joanna X. Liang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marcelo Di Carli
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Daniel S. Berman
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J. Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Stewart M, Shah S, Milani R, Morin D, Bober R. Quantification of Resting Myocardial Blood Flow Using Rubidum 82 Positron Emission Tomography in Regions with MRI-Confirmed Myocardial Scar. ANNALS OF NUCLEAR CARDIOLOGY 2022; 8:7-13. [PMID: 36540170 PMCID: PMC9754780 DOI: 10.17996/anc.21-00137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 07/21/2021] [Accepted: 09/03/2021] [Indexed: 06/17/2023]
Abstract
Background: Resting myocardial blood flow (rMBF) within regions of myocardial scar as measured by positron emission tomography (PET) has not yet been assessed with the radiotracer Rubidium82 (Rb82) or correlated with scar thickness. Cardiac magnetic resonance imaging (cMRI) offers high spatial resolution and identifies myocardial scar with late gadolinium enhancement (LGE). Using Rb82 PET, we sought to characterize rMBF in regions of myocardial scar of varying thicknesses determined by cMRI. Methods/Results: Patients with a history of myocardial infarction, a resting Rb82 PET study and a cMRI were identified. On cMRI, regions of infarction, defined as >50% LGE with akinesis, were sub-categorized as 50-75% LGE or >75% LGE, corresponding with increasing transmural scar thickness. PET zones of infarct based on size and %LGE by cMRI were quantified for mean and minimum rMBF. Mean rMBF (cc/min/g) in infarct zones with >75% LGE was 0.32±0.07 with a minimum rMBF of 0.19±0.03. In infarct zones with 50-75% LGE, rMBF was 0.45±0.14 (50-75% vs. >75%, p=0.002). Conclusions: We identified rMBF within cMRI confirmed regions of myocardial scar of varying thicknesses. rMBF has an inverse relationship with the extent of LGE on cMRI, with the most severe regions (>75% LGE) having mean and minimal rMBF (cc/min/g) of 0.32±0.07 and 0.19±0.03, respectively.
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Affiliation(s)
- Merrill Stewart
- Ochsner Heart and Vascular Institute, Department of Cardiology, New Orleans, USA
| | - Sangeeta Shah
- Ochsner Heart and Vascular Institute, Department of Cardiology, New Orleans, USA
- Ochsner Clinical School, Queensland University School of Medicine, New Orleans, USA
| | - Richard Milani
- Ochsner Heart and Vascular Institute, Department of Cardiology, New Orleans, USA
- Ochsner Clinical School, Queensland University School of Medicine, New Orleans, USA
| | - Daniel Morin
- Ochsner Heart and Vascular Institute, Department of Cardiology, New Orleans, USA
- Ochsner Clinical School, Queensland University School of Medicine, New Orleans, USA
| | - Robert Bober
- Ochsner Heart and Vascular Institute, Department of Cardiology, New Orleans, USA
- Ochsner Clinical School, Queensland University School of Medicine, New Orleans, USA
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Diagnostic value of regional myocardial flow reserve measurements using Rubidium-82 PET. Int J Cardiovasc Imaging 2022; 38:2743-2751. [DOI: 10.1007/s10554-022-02644-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 05/06/2022] [Indexed: 11/05/2022]
Abstract
Abstract
Purpose
Visual assessment of Rubidium (Rb-82) PET myocardial perfusion images is usually combined with global myocardial flow reserve (MFR) measurements. However, small regional blood flow deficits may go unnoticed. Our aim was to compare the diagnostic value of regional with global MFR in the detection of obstructive coronary artery disease (oCAD).
Methods
We retrospectively included 1519 patients referred for rest and regadenoson-induced stress Rb-82 PET/CT without prior history of oCAD. MFR was determined globally, per vessel territory and per myocardial segment and compared using receiver-operating characteristic analysis. Vessel MFR was defined as the lowest MFR of the coronary territories and segmental MFR as the lowest MFR of the 17-segments. The primary endpoint was oCAD on invasive coronary angiography.
Results
The 148 patients classified as having oCAD had a lower global MFR (median 1.9, interquartile range [1.5–2.4] vs. 2.4 [2.0–2.9]), lower vessel MFR (1.6 [1.2–2.1] vs. 2.2 [1.9–2.6]) and lower segmental MFR (1.3 [ 0.9–1.6] vs. 1.8 [1.5–2.2]) as compared to the non-oCAD patients (p < 0.001). The area under the curve for segmental MFR (0.81) was larger (p ≤ 0.005) than of global MFR (0.74) and vessel MFR (0.78).
Conclusions
The use of regional MFR instead of global MFR is recommended as it improves the diagnostic value of Rb-82 PET in the detection of oCAD.
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Koenders SS, van Dijk JD, Jager PL, Mouden M, Tegelaar AG, Slump CH, van Dalen JA. Effect of temporal sampling protocols on myocardial blood flow measurements using Rubidium-82 PET. J Nucl Cardiol 2022; 29:1729-1741. [PMID: 33655444 PMCID: PMC9345838 DOI: 10.1007/s12350-021-02555-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/19/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND A variety of temporal sampling protocols is used worldwide to measure myocardial blood flow (MBF). Both the length and number of time frames in these protocols may alter MBF and myocardial flow reserve (MFR) measurements. We aimed to assess the effect of different clinically used temporal sampling protocols on MBF and MFR quantification in Rubidium-82 (Rb-82) PET imaging. METHODS We retrospectively included 20 patients referred for myocardial perfusion imaging using Rb-82 PET. A literature search was performed to identify appropriate sampling protocols. PET data were reconstructed using 14 selected temporal sampling protocols with time frames of 5-10 seconds in the first-pass phase and 30-120 seconds in the tissue phase. Rest and stress MBF and MFR were calculated for all protocols and compared to the reference protocol with 26 time frames. RESULTS MBF measurements differed (P ≤ 0.003) in six (43%) protocols in comparison to the reference protocol, with mean absolute relative differences up to 16% (range 5%-31%). Statistically significant differences were most frequently found for protocols with tissue phase time frames < 90 seconds. MFR did not differ (P ≥ 0.11) for any of the protocols. CONCLUSIONS Various temporal sampling protocols result in different MBF values using Rb-82 PET. MFR measurements were more robust to different temporal sampling protocols.
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Affiliation(s)
- S S Koenders
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands.
- Technical Medical Center, University of Twente, Enschede, The Netherlands.
| | - J D van Dijk
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands
| | - P L Jager
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands
| | - M Mouden
- Department of Cardiology, Isala hospital, Zwolle, The Netherlands
| | - A G Tegelaar
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands
| | - C H Slump
- Technical Medical Center, University of Twente, Enschede, The Netherlands
| | - J A van Dalen
- Department of Medical Physics, Isala hospital, Zwolle, The Netherlands
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Bradley C, Berry C. Definition and epidemiology of coronary microvascular disease. J Nucl Cardiol 2022; 29:1763-1775. [PMID: 35534718 PMCID: PMC9345825 DOI: 10.1007/s12350-022-02974-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/17/2022] [Indexed: 11/18/2022]
Abstract
Ischemic heart disease remains one of the leading causes of death and disability worldwide. However, most patients referred for a noninvasive computed tomography coronary angiogram (CTA) or invasive coronary angiogram for the investigation of angina do not have obstructive coronary artery disease (CAD). Approximately two in five referred patients have coronary microvascular disease (CMD) as a primary diagnosis and, in addition, CMD also associates with CAD and myocardial disease (dual pathology). CMD underpins excess morbidity, impaired quality of life, significant health resource utilization, and adverse cardiovascular events. However, CMD often passes undiagnosed and the onward management of these patients is uncertain and heterogeneous. International standardized diagnostic criteria allow for the accurate diagnosis of CMD, ensuring an often overlooked patient population can be diagnosed and stratified for targeted medical therapy. Key to this is assessing coronary microvascular function-including coronary flow reserve, coronary microvascular resistance, and coronary microvascular spasm. This can be done by invasive methods (intracoronary temperature-pressure wire, intracoronary Doppler flow-pressure wire, intracoronary provocation testing) and non-invasive methods [positron emission tomography (PET), cardiac magnetic resonance imaging (CMR), transthoracic Doppler echocardiography (TTDE), cardiac computed tomography (CT)]. Coronary CTA is insensitive for CMD. Functional coronary angiography represents the combination of CAD imaging and invasive diagnostic procedures.
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Affiliation(s)
- Conor Bradley
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
- NHS Golden Jubilee Hospital, Clydebank, United Kingdom
| | - Colin Berry
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom.
- NHS Golden Jubilee Hospital, Clydebank, United Kingdom.
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, Scotland, United Kingdom.
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Morrone D, Gentile F, Aimo A, Cameli M, Barison A, Picoi ME, Guglielmo M, Villano A, DeVita A, Mandoli GE, Pastore MC, Barillà F, Mancone M, Pedrinelli R, Indolfi C, Filardi PP, Muscoli S, Tritto I, Pizzi C, Camici PG, Marzilli M, Crea F, Caterina RD, Pontone G, Neglia D, Lanza G. Perspectives in noninvasive imaging for chronic coronary syndromes. Int J Cardiol 2022; 365:19-29. [PMID: 35901907 DOI: 10.1016/j.ijcard.2022.07.038] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/05/2022] [Accepted: 07/21/2022] [Indexed: 11/26/2022]
Abstract
Both the latest European guidelines on chronic coronary syndromes and the American guidelines on chest pain have underlined the importance of noninvasive imaging to select patients to be referred to invasive angiography. Nevertheless, although coronary stenosis has long been considered the main determinant of inducible ischemia and symptoms, growing evidence has demonstrated the importance of other underlying mechanisms (e.g., vasospasm, microvascular disease, energetic inefficiency). The search for a pathophysiology-driven treatment of these patients has therefore emerged as an important objective of multimodality imaging, integrating "anatomical" and "functional" information. We here provide an up-to-date guide for the choice and the interpretation of the currently available noninvasive anatomical and/or functional tests, focusing on emerging techniques (e.g., coronary flow velocity reserve, stress-cardiac magnetic resonance, hybrid imaging, functional-coronary computed tomography angiography, etc.), which could provide deeper pathophysiological insights to refine diagnostic and therapeutic pathways in the next future.
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Affiliation(s)
- Doralisa Morrone
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy.
| | - Francesco Gentile
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Alberto Aimo
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Matteo Cameli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | | | - Maria Elena Picoi
- Azienda Tutela Salute Sardegna, Ospedale Giovanni Paolo II, Unità di terapia intensiva Cardiologica, Olbia, Sardegna, Italy
| | - Marco Guglielmo
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | - Angelo Villano
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Antonio DeVita
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Maria Concetta Pastore
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Francesco Barillà
- Dipartimento di Scienze Cliniche, Internistiche, Anestesiologiche e Cardiovascolari, Sapienza Università di Roma, Policlinico Umberto I, Roma, Italy
| | - Massimo Mancone
- Dipartimento di Scienze Cliniche, Internistiche, Anestesiologiche e Cardiovascolari, Sapienza Università di Roma, Policlinico Umberto I, Roma, Italy
| | - Roberto Pedrinelli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Ciro Indolfi
- Istituto di Cardiologia, Dipartimento di Scienze Mediche e Chirurgiche, Università degli Studi "Magna Graecia", Catanzaro - Mediterranea Cardiocentro, Napoli, Italy
| | - Pasquale Perrone Filardi
- Department of Advanced Biomedical Sciences, Federico II University of Naples, Italy, Mediterranea Cardiocentro, Naples, Italy
| | - Saverio Muscoli
- U.O.C. Cardiologia, Fondazione Policlinico "Tor Vergata", Roma, Italy
| | - Isabella Tritto
- Università di Perugia, Dipartimento di Medicina, Sezione di Cardiologia e Fisiopatologia Cardiovascolare, Perugia, Italy
| | - Carmine Pizzi
- Università di Bologna, Alma Mater Studiorum, Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Bologna, Italy
| | - Paolo G Camici
- Vita-Salute University and IRCCS San Raffaele Hospital, Milan, Italy
| | - Mario Marzilli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Filippo Crea
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | - Raffaele De Caterina
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | | | - Gaetano Lanza
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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Manchanda AS, Kwan AC, Ishimori M, Thomson LEJ, Li D, Berman DS, Bairey Merz CN, Jefferies C, Wei J. Coronary Microvascular Dysfunction in Patients With Systemic Lupus Erythematosus and Chest Pain. Front Cardiovasc Med 2022; 9:867155. [PMID: 35498009 PMCID: PMC9053571 DOI: 10.3389/fcvm.2022.867155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 02/28/2022] [Indexed: 01/19/2023] Open
Abstract
Chest pain is a common symptom in patients with systemic lupus erythematosus, an autoimmune disease that is associated with increased cardiovascular morbidity and mortality. While chest pain mechanisms can be multifactorial and often attributed to non-coronary or non-cardiac cardiac etiologies, emerging evidence suggests that ischemia with no obstructive coronary arteries (INOCA) is a prevalent condition in patients with chest pain and no obstructive coronary artery disease. Coronary microvascular dysfunction is reported in approximately half of SLE patients with suspected INOCA. In this mini review, we highlight the cardiovascular risk assessment, mechanisms of INOCA, and diagnostic approach for patients with SLE and suspected CMD.
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Affiliation(s)
- Ashley S. Manchanda
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Alan C. Kwan
- Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Imaging, Mark Taper Imaging Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Mariko Ishimori
- Division of Rheumatology and Department of Biomedical Sciences, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Louise E. J. Thomson
- Department of Imaging, Mark Taper Imaging Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Daniel S. Berman
- Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Imaging, Mark Taper Imaging Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - C. Noel Bairey Merz
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Caroline Jefferies
- Division of Rheumatology and Department of Biomedical Sciences, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Janet Wei
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- *Correspondence: Janet Wei
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The Utility of Noninvasive PET/CT Myocardial Perfusion Imaging in Adult Liver Transplant Candidates. Transplant Direct 2022; 8:e1311. [PMID: 35372676 PMCID: PMC8963847 DOI: 10.1097/txd.0000000000001311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 12/29/2021] [Accepted: 01/14/2022] [Indexed: 11/26/2022] Open
Abstract
Background. The optimal cardiovascular (CV) risk stratification in liver transplant (LT) candidates remains unclear. The aim of this study was to evaluate concordance of findings between dobutamine stress echocardiography (DSE), positron emission tomography/computed tomography myocardial perfusion imaging (PET/CT MPI), and left heart catheterization in adult LT candidates. Methods. Data on 234 consecutive adult LT candidates from February 2015 to June 2018 with PET/CT MPI were reviewed. Adverse CV outcomes were adjudicated via chart review by a board-certified cardiologist. Results. Median age was 60.8, body mass index 30.2 kg/m2, and model of end-stage liver disease–sodium 14; 61% were male, and 54% had diabetes. Thirty-seven percent had nonalcoholic steatohepatitis and 29% alcohol-related liver disease. Sixty-five percent of patients had a DSE, of which 41% were nondiagnostic. No factors were independently associated with having a nondiagnostic DSE. The median global myocardial flow reserve correlated positively with hemoglobin and negatively with model of end-stage liver disease–sodium, age, ejection fraction, and body mass index. Moderate/high-risk MPIs were associated with older age and known CV disease. In patients with 2 cardiac testing modalities, findings were concordant in 87%. Eleven of 53 LT recipients experienced an adverse CV outcome, but no independent predictors were identified for this outcome. Conclusions. Results of different cardiac risk-stratification modalities were concordant across modalities the majority of the time in LT candidates, although these findings were not independently correlated with risk of post-LT CV outcomes. Given the high rates of nondiagnostic DSEs in this population, PET/CT MPI may be the preferred CV risk-stratification modality in older patients and those with known CV disease.
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