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Cau R, Pisu F, Suri JS, Pontone G, D’Angelo T, Zha Y, Salgado R, Saba L. Atrial and Ventricular Strain Imaging Using CMR in the Prediction of Ventricular Arrhythmia in Patients with Myocarditis. J Clin Med 2024; 13:662. [PMID: 38337355 PMCID: PMC10856157 DOI: 10.3390/jcm13030662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/12/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
(1) Objective: Myocarditis can be associated with ventricular arrhythmia (VA), individual non-invasive risk stratification through cardiovascular magnetic resonance (CMR) is of great clinical significance. Our study aimed to explore whether left atrial (LA) and left ventricle (LV) myocardial strain serve as independent predictors of VA in patients with myocarditis. (2) Methods: This retrospective study evaluated CMR scans in 141 consecutive patients diagnosed with myocarditis based on the updated Lake Louise criteria (29 females, mean age 41 ± 20). The primary endpoint was VA; this encompassed ventricular fibrillation, sustained ventricular tachycardia, nonsustained ventricular tachycardia, and frequent premature ventricular complexes. LA and LV strain function were performed on conventional cine SSFP sequences. (3) Results: After a median follow-up time of 23 months (interquartile range (18-30)), 17 patients with acute myocarditis reached the primary endpoint. In the multivariable Cox regression analysis, LA reservoir (hazard ratio [HR] and 95% confidence interval [CI]: 0.93 [0.87-0.99], p = 0.02), LA booster (0.87 95% CI [0.76-0.99], p = 0.04), LV global longitudinal (1.26 95% CI [1.02-1.55], p = 0.03), circumferential (1.37 95% CI [1.08-1.73], p = 0.008), and radial strain (0.89 95% CI [0.80-0.98], p = 0.01) were all independent determinants of VA. Patients with LV global circumferential strain > -13.3% exhibited worse event-free survival compared to those with values ≤ -13.3% (p < 0.0001). (4) Conclusions: LA and LV strain mechanism on CMR are independently associated with VA events in patients with myocarditis, independent to LV ejection fraction, and late gadolinium enhancement location. Incorporating myocardial strain parameters into the management of myocarditis may improve risk stratification.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
| | - Francesco Pisu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
| | - Jasjit S. Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA 95661, USA;
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy;
| | - Tommaso D’Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, G. Martino University Hospital, University of Messina, 98124 Messina, Italy;
- Department of Radiology and Nuclear Medicine, Erasmus MC, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Yunfei Zha
- Department of Radiology, Renmin Hospital of Wuhan University, Hubei General Hospital, Wuhan 430064, China;
| | - Rodrigo Salgado
- Department of Radiology, Universitair Ziekenhuis Antwerpen, 2650 Edegem, Belgium;
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
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2
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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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3
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Bergamaschi L, Pavon AG, Angeli F, Tuttolomondo D, Belmonte M, Armillotta M, Sansonetti A, Foà A, Paolisso P, Baggiano A, Mushtaq S, De Zan G, Carriero S, Cramer MJ, Teske AJ, Broekhuizen L, van der Bilt I, Muscogiuri G, Sironi S, Leo LA, Gaibazzi N, Lovato L, Pontone G, Pizzi C, Guglielmo M. The Role of Non-Invasive Multimodality Imaging in Chronic Coronary Syndrome: Anatomical and Functional Pathways. Diagnostics (Basel) 2023; 13:2083. [PMID: 37370978 DOI: 10.3390/diagnostics13122083] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/10/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Coronary artery disease (CAD) is one of the major causes of mortality and morbidity worldwide, with a high socioeconomic impact. Currently, various guidelines and recommendations have been published about chronic coronary syndromes (CCS). According to the recent European Society of Cardiology guidelines on chronic coronary syndrome, a multimodal imaging approach is strongly recommended in the evaluation of patients with suspected CAD. Today, in the current practice, non-invasive imaging methods can assess coronary anatomy through coronary computed tomography angiography (CCTA) and/or inducible myocardial ischemia through functional stress testing (stress echocardiography, cardiac magnetic resonance imaging, single photon emission computed tomography-SPECT, or positron emission tomography-PET). However, recent trials (ISCHEMIA and REVIVED) have cast doubt on the previous conception of the management of patients with CCS, and nowadays it is essential to understand the limitations and strengths of each imaging method and, specifically, when to choose a functional approach focused on the ischemia versus a coronary anatomy-based one. Finally, the concept of a pathophysiology-driven treatment of these patients emerged as an important goal of multimodal imaging, integrating 'anatomical' and 'functional' information. The present review aims to provide an overview of non-invasive imaging modalities for the comprehensive management of CCS patients.
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Affiliation(s)
- Luca Bergamaschi
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Anna Giulia Pavon
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Francesco Angeli
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Domenico Tuttolomondo
- Department of Cardiology, Parma University Hospital, Viale Antonio Gramsci 14, 43126 Parma, Italy
| | - Marta Belmonte
- Cardiovascular Center Aalst, OLV-Clinic, 9300 Aalst, Belgium
- Department of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy
| | - Matteo Armillotta
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Angelo Sansonetti
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Alberto Foà
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Pasquale Paolisso
- Department of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy
| | - Andrea Baggiano
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Saima Mushtaq
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Giulia De Zan
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Serena Carriero
- Postgraduate School of Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy
| | - Maarten-Jan Cramer
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Arco J Teske
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Lysette Broekhuizen
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Ivo van der Bilt
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 GM The Hague, The Netherlands
| | - Giuseppe Muscogiuri
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, 20149 Milan, Italy
| | - Sandro Sironi
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy
| | - Laura Anna Leo
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Nicola Gaibazzi
- Department of Cardiology, Parma University Hospital, Viale Antonio Gramsci 14, 43126 Parma, Italy
| | - Luigi Lovato
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
| | - Gianluca Pontone
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Carmine Pizzi
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Marco Guglielmo
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 GM The Hague, The Netherlands
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4
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Maffeis C, Dondi F, Ribichini FL, Giubbini R, Gimelli A. Clinical Application of Myocardial Perfusion SPECT in Patients with Suspected or Known Coronary Artery Disease. What Role in the Multimodality Imaging Era? Rev Cardiovasc Med 2023; 24:48. [PMID: 39077399 PMCID: PMC11273120 DOI: 10.31083/j.rcm2402048] [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: 10/30/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 07/31/2024] Open
Abstract
Myocardial perfusion single photon emission computed tomography (SPECT) is widely used in assessing coronary artery disease (CAD) owing to its proven efficacy in extensive clinical experience. Like other functional tests, myocardial SPECT is recommended for the diagnosis of obstructive CAD, risk stratification assessment, and treatment decision making. Besides quantifying left ventricular volume, global and regional function by electrocardiography (ECG)-gated acquisition, myocardial SPECT can identify myocardial ischemia, scars, stunning, and viable hibernating myocardium. It provides comprehensive functional data across the spectrum of CAD and a cost-effective strategy in patients with intermediate pre-test probability of CAD or with a history of ischemic cardiomyopathy. With ongoing advances in cardiovascular prevention and risk factor management many patients referred for testing now have a low-to-intermediate probability of CAD. Besides, CAD has become a chronic condition resulting from novel therapeutic strategies. Against this background, approaches combining anatomical and functional tests in sequence or simultaneously include coronary artery calcium score integrated with perfusion imaging or fusion SPECT/coronary computed tomography angiography (CCTA). In this review we summarize current indications for myocardial perfusion SPECT and integration of SPECT with other imaging techniques to improve diagnostic performance, patient management, and outcome prediction in CAD.
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Affiliation(s)
- Caterina Maffeis
- Cardiology Division, Department of Medicine, University of Verona, 37126 Verona, Italy
| | - Francesco Dondi
- Nuclear Medicine, ASST Spedali Civili Brescia, 25123 Brescia, Italy
| | | | - Raffaele Giubbini
- Department of Nuclear Medicine, University of Brescia, 25123 Brescia, Italy
| | - Alessia Gimelli
- Cardiovascular and Imaging Departments, CNR Research Area, Fondazione CNR/Regione Toscana Gabriele Monasterio, 56124 Pisa, Italy
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5
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Muscogiuri G, Guglielmo M. Editorial: Multimodality imaging in the assessment of ischemic chronic coronary syndrome. Front Cardiovasc Med 2023; 10:1146050. [PMID: 37113705 PMCID: PMC10126425 DOI: 10.3389/fcvm.2023.1146050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 03/28/2023] [Indexed: 04/29/2023] Open
Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Milan, Italy
- School of Medicine, University of Milano-Bicocca, Milan, Italy
- Correspondence: Giuseppe Muscogiuri
| | - Marco Guglielmo
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Cardiology, Haga Teaching Hospital, The Hague, Netherlands
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6
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Lala RI, Mercea S, Jipa RA, Puschita M, Pop-Moldovan A. The chronic coronary syndrome—Heart failure roundabout: A multimodality imaging workflow approach. Front Cardiovasc Med 2022; 9:1019529. [DOI: 10.3389/fcvm.2022.1019529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/31/2022] [Indexed: 11/23/2022] Open
Abstract
Heart failure (HF) is a complex syndrome of considerable burden with high mortality and hospitalization rates. Approximately two-thirds of patients with HF have ischemic etiology, which makes crucial the identification of relevant coronary artery disease (CAD). Moreover, patients with chronic coronary syndrome (CCS) can first show signs of dyspnea and left ventricular (LV) dysfunction. If establishing a diagnosis of HF and consequent management is clear enough, it will not be the same when it comes to recommendations for etiology assessment. Ischemic heart disease is the most studied disease by cardiac multimodality imaging with excellent diagnostic performance. Based on this aspect, the high prevalence of CAD, the worst outcome—HF patients should undergo a diagnostic work-up using these multimodality imaging techniques. The aim of this mini-review is to provide insights on multimodality imaging for diagnosing CCS in patients with new onset of HF and propose a diagnostic work-up based on current international studies and guidelines.
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7
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Muscogiuri G, Volpato V, Cau R, Chiesa M, Saba L, Guglielmo M, Senatieri A, Chierchia G, Pontone G, Dell’Aversana S, Schoepf UJ, Andrews MG, Basile P, Guaricci AI, Marra P, Muraru D, Badano LP, Sironi S. Application of AI in cardiovascular multimodality imaging. Heliyon 2022; 8:e10872. [PMID: 36267381 PMCID: PMC9576885 DOI: 10.1016/j.heliyon.2022.e10872] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/23/2022] [Accepted: 09/27/2022] [Indexed: 12/16/2022] Open
Abstract
Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the reproducibility of this approach and the possibility to reduce time necessary to generate a report. In cardiac computed tomography angiography (CCTA) the main application of AI in clinical practice is focused on detection of stenosis, characterization of coronary plaques, and detection of myocardial ischemia. In cardiac magnetic resonance (CMR) the application of AI is focused on post-processing and particularly on the segmentation of cardiac chambers during late gadolinium enhancement. In echocardiography, the application of AI is focused on segmentation of cardiac chambers and is helpful for valvular function and wall motion abnormalities. The common thread represented by all of these techniques aims to shorten the time of interpretation without loss of information compared to the standard approach. In this review we provide an overview of AI applications in multimodality cardiac imaging.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Italy,School of Medicine, University of Milano-Bicocca, Milan, Italy,Corresponding author.
| | - Valentina Volpato
- Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy,IRCCS Ospedale Galeazzi - Sant'Ambrogio, University Cardiology Department, Milan, Italy
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Polo di Monserrato, Cagliari, Italy
| | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Polo di Monserrato, Cagliari, Italy
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, the Netherlands
| | | | | | | | - Serena Dell’Aversana
- Department of Radiology, Ospedale S. Maria Delle Grazie - ASL Napoli 2 Nord, Pozzuoli, Italy
| | - U. Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr., Charleston, SC, USA
| | - Mason G. Andrews
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr., Charleston, SC, USA
| | - Paolo Basile
- University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Andrea Igoren Guaricci
- University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Paolo Marra
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Denisa Muraru
- School of Medicine, University of Milano-Bicocca, Milan, Italy,Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy
| | - Luigi P. Badano
- School of Medicine, University of Milano-Bicocca, Milan, Italy,Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Milan, Italy,Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
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8
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Muscogiuri G, Guaricci AI, Soldato N, Cau R, Saba L, Siena P, Tarsitano MG, Giannetta E, Sala D, Sganzerla P, Gatti M, Faletti R, Senatieri A, Chierchia G, Pontone G, Marra P, Rabbat MG, Sironi S. Multimodality Imaging of Sudden Cardiac Death and Acute Complications in Acute Coronary Syndrome. J Clin Med 2022; 11:jcm11195663. [PMID: 36233531 PMCID: PMC9573273 DOI: 10.3390/jcm11195663] [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: 08/13/2022] [Revised: 09/07/2022] [Accepted: 09/22/2022] [Indexed: 11/23/2022] Open
Abstract
Sudden cardiac death (SCD) is a potentially fatal event usually caused by a cardiac arrhythmia, which is often the result of coronary artery disease (CAD). Up to 80% of patients suffering from SCD have concomitant CAD. Arrhythmic complications may occur in patients with acute coronary syndrome (ACS) before admission, during revascularization procedures, and in hospital intensive care monitoring. In addition, about 20% of patients who survive cardiac arrest develop a transmural myocardial infarction (MI). Prevention of ACS can be evaluated in selected patients using cardiac computed tomography angiography (CCTA), while diagnosis can be depicted using electrocardiography (ECG), and complications can be evaluated with cardiac magnetic resonance (CMR) and echocardiography. CCTA can evaluate plaque, burden of disease, stenosis, and adverse plaque characteristics, in patients with chest pain. ECG and echocardiography are the first-line tests for ACS and are affordable and useful for diagnosis. CMR can evaluate function and the presence of complications after ACS, such as development of ventricular thrombus and presence of myocardial tissue characterization abnormalities that can be the substrate of ventricular arrhythmias.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Piazzale Brescia 20, 20149 Milan, Italy
- School of Medicine, University of Milano-Bicocca, 20126 Milan, Italy
- Correspondence:
| | - Andrea Igoren Guaricci
- University Cardiology Unit, Department of Interdisciplinary Medicine, University of Bari, 70121 Bari, Italy
| | - Nicola Soldato
- University Cardiology Unit, Department of Interdisciplinary Medicine, University of Bari, 70121 Bari, Italy
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09124 Cagliari, Italy
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09124 Cagliari, Italy
| | - Paola Siena
- University Cardiology Unit, Department of Interdisciplinary Medicine, University of Bari, 70121 Bari, Italy
| | - Maria Grazia Tarsitano
- Department of Medical and Surgical Science, University Magna Grecia, 88100 Catanzaro, Italy
| | - Elisa Giannetta
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena, 324, 00161 Rome, Italy
| | - Davide Sala
- Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, 20149 Milan, Italy
| | - Paolo Sganzerla
- Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, 20149 Milan, Italy
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy
| | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy
| | - Alberto Senatieri
- School of Medicine, University of Milano-Bicocca, 20126 Milan, Italy
| | | | | | - Paolo Marra
- School of Medicine, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Mark G. Rabbat
- Division of Cardiology, Loyola University of Chicago, Chicago, IL 60611, USA
- Edward Hines Jr. VA Hospital, Hines, IL 60141, USA
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
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9
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Talledo-Paredes LS, Guerrero-Ramírez DMT, Mendoza-Paulini A, Rodríguez-Urteaga Z, Angulo-Poblete D, Ríos-Ortega JC. [Prediction of significant coronary lesions by SPECT myocardial perfusion. Results from a national reference hospital in Lima-Peru]. ARCHIVOS PERUANOS DE CARDIOLOGIA Y CIRUGIA CARDIOVASCULAR 2022; 3:74-81. [PMID: 37283600 PMCID: PMC10241335 DOI: 10.47487/apcyccv.v3i2.222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 06/30/2022] [Indexed: 06/08/2023]
Abstract
Objective To determine the discriminative capacity of myocardial perfusion with single photon emission tomography (SPECT) to predict coronary obstructions by coronary angiography. To determine mortality and major cardiovascular events at follow-up. Materials and methods . Retrospective observational study with clinical follow-up in patients undergoing SPECT and then coronary angiography. We excluded patients with myocardial infarction and percutaneous and/or surgical revascularization in the previous 6 months. Results 105 cases were included in the study. The most commonly used SPECT protocol was pharmacological (70%). Patients with perfusion defect ≥10% of total ventricular mass (TVM) had significant coronary lesions (SCL) in 88% of cases (sensitivity 87.5% and specificity 83%). On the other hand, having ischemia ≥10% of the TVM was associated with 80% SCL (sensitivity: 72%, specificity: 65%). Clinical follow-up at 48 months evidenced that a perfusion defect ≥ 10% was predictive of major cardiovascular events (MACE) in both univariate (HR=5.3; 95%CI 1.2 - 22.2; p=0.022) and multivariate (HR= 6.1; 95%CI 1.3 - 26.9; p= 0.017) analyses. Conclusions . Having a perfusion defect ≥10% of the MVT in the SPECT study predicted with high probability and sensitivity the existence of SCL (>80%); moreover, this group had higher MACE at follow-up.
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Affiliation(s)
- Luisa S Talledo-Paredes
- Servicio de Ayuda al Diagnóstico y Tratamiento. Instituto Nacional Cardiovascular. EsSalud. Lima. Perú. Servicio de Ayuda al Diagnóstico y Tratamiento Instituto Nacional Cardiovascular. EsSalud Lima Perú
- Programa de Maestría de Investigación y Docencia en Salud. Universidad Nacional de San Marcos. Lima, Perú Universidad Nacional Mayor de San Marcos Programa de Maestría de Investigación y Docencia en Salud Universidad Nacional de San Marcos Lima Peru
| | - Delia M T Guerrero-Ramírez
- Servicio de Ayuda al Diagnóstico y Tratamiento. Instituto Nacional Cardiovascular. EsSalud. Lima. Perú. Servicio de Ayuda al Diagnóstico y Tratamiento Instituto Nacional Cardiovascular. EsSalud Lima Perú
| | - Aurelio Mendoza-Paulini
- Servicio de Ayuda al Diagnóstico y Tratamiento. Instituto Nacional Cardiovascular. EsSalud. Lima. Perú. Servicio de Ayuda al Diagnóstico y Tratamiento Instituto Nacional Cardiovascular. EsSalud Lima Perú
| | - Zoila Rodríguez-Urteaga
- Servicio de Ayuda al Diagnóstico y Tratamiento. Instituto Nacional Cardiovascular. EsSalud. Lima. Perú. Servicio de Ayuda al Diagnóstico y Tratamiento Instituto Nacional Cardiovascular. EsSalud Lima Perú
| | - Daniel Angulo-Poblete
- Programa de Maestría de Investigación y Docencia en Salud. Universidad Nacional de San Marcos. Lima, Perú Universidad Nacional Mayor de San Marcos Programa de Maestría de Investigación y Docencia en Salud Universidad Nacional de San Marcos Lima Peru
| | - Josías C Ríos-Ortega
- Servicio de cirugía cardiovascular. Instituto Nacional Cardiovascular. EsSalud. Lima. Perú. Servicio de cirugía cardiovascular Instituto Nacional Cardiovascular. EsSalud Lima Perú
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