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Schulz A, Otton J, Hussain T, Miah T, Schuster A. Clinical Advances in Cardiovascular Computed Tomography: From Present Applications to Promising Developments. Curr Cardiol Rep 2024:10.1007/s11886-024-02110-w. [PMID: 39162955 DOI: 10.1007/s11886-024-02110-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/26/2024] [Indexed: 08/21/2024]
Abstract
PURPOSE OF THE REVIEW This review aims to provide a profound overview on most recent studies on the clinical significance of Cardiovascular Computed Tomography (CCT) in diagnostic and therapeutic pathways. Herby, this review helps to pave the way for a more extended but yet purposefully use in modern day cardiovascular medicine. RECENT FINDINGS In recent years, new clinical applications of CCT have emerged. Major applications include the assessment of coronary artery disease and structural heart disease, with corresponding recommendations by major guidelines of international societies. While CCT already allows for a rapid and non-invasive diagnosis, technical improvements enable further in-depth assessments using novel imaging parameters with high temporal and spatial resolution. Those developments facilitate diagnostic and therapeutic decision-making as well as improved prognostication. This review determined that recent advancements in both hardware and software components of CCT allow for highly advanced examinations with little radiation exposure. This particularly strengthens its role in preventive care and coronary artery disease. The addition of functional analyses within and beyond coronary artery disease offers solutions in wide-ranging patient populations. Many techniques still require improvement and validation, however, CCT possesses potential to become a "one-stop-shop" examination.
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Affiliation(s)
- Alexander Schulz
- Department of Cardiology and Pneumology, Georg-August University, University Medical Center, Göttingen, Germany
- Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | - James Otton
- South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Tarique Hussain
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
- Departments of Paediatrics, Southwestern Medical Center, University of Texas, Dallas, TX, USA
| | - Tayaba Miah
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
- Departments of Paediatrics, Southwestern Medical Center, University of Texas, Dallas, TX, USA
| | - Andreas Schuster
- Department of Cardiology and Pneumology, Georg-August University, University Medical Center, Göttingen, Germany.
- FORUM Cardiology, Rosdorf, Germany.
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Festa P, Lovato L, Bianco F, Alaimo A, Angeli E, Baccano G, Barbi E, Bennati E, Bonhoeffer P, Bucciarelli V, Curione D, Ciliberti P, Clemente A, Di Salvo G, Esposito A, Ferroni F, Gaeta A, Giovagnoni A, Inserra MC, Leonardi B, Marcora S, Marrone C, Peritore G, Pergola V, Pluchinotta F, Puppini G, Stagnaro N, Raimondi F, Sandrini C, Spaziani G, Tchana B, Trocchio G, Ait-Ali L, Secinaro A. Recommendations for cardiovascular magnetic resonance and computed tomography in congenital heart disease: a consensus paper from the CMR/CCT Working Group of the Italian Society of Pediatric Cardiology and the Italian College of Cardiac Radiology endorsed by the Italian Society of Medical and Interventional Radiology (Part II). J Cardiovasc Med (Hagerstown) 2024; 25:473-487. [PMID: 38829936 DOI: 10.2459/jcm.0000000000001628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Cardiovascular magnetic resonance (CMR) and computed tomography (CCT) are advanced imaging modalities that recently revolutionized the conventional diagnostic approach to congenital heart diseases (CHD), supporting echocardiography and often replacing cardiac catheterization. This is the second of two complementary documents, endorsed by experts from the Working Group of the Italian Society of Pediatric Cardiology and the Italian College of Cardiac Radiology of the Italian Society of Medical and Interventional Radiology, aimed at giving updated indications on the appropriate use of CMR and CCT in different clinical CHD settings, in both pediatrics and adults. In this article, support is also given to radiologists, pediatricians, cardiologists, and cardiac surgeons for indications and appropriateness criteria for CMR and CCT in the most referred CHD, following the proposed new criteria presented and discussed in the first document. This second document also examines the impact of devices and prostheses for CMR and CCT in CHD and additionally presents some indications for CMR and CCT exams when sedation or narcosis is needed.
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Affiliation(s)
- Pierluigi Festa
- Pediatric Cardiology and GUCH Unit, Fondazione 'G. Monasterio' CNR-Regione Toscana, Massa-Pisa
| | - Luigi Lovato
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Pediatric and Adult CardioThoracic and Vascular, Oncohematologic and Emergency Radiology Unit, Bologna
| | - Francesco Bianco
- Department of Paediatric and Congenital Cardiac Surgery and Cardiology, Azienda Ospedaliero-Universitaria Ospedali Riuniti Ancona 'Umberto I, G. M. Lancisi, G. Salesi', Ancona
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
| | - Annalisa Alaimo
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
- U.O.C. di Cardiologia Pediatrica, ARNAS Civico-Di Cristina-Benfratelli, Palermo
| | - Emanuela Angeli
- Pediatric & Grown-up Congenital Cardiac Surgery Unit, Cardiothoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Bologna
| | - Giovanna Baccano
- Department of Pediatric Cardiology - Centro Cardiologico Pediatrico Mediterraneo, Taormina
| | - Egidio Barbi
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo'
- Department of Pediatrics, University of Trieste, Trieste
| | - Elena Bennati
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
- Department of Pediatric Cardiology, IRCCS Meyer Children's Hospital, Florence
| | | | - Valentina Bucciarelli
- Department of Paediatric and Congenital Cardiac Surgery and Cardiology, Azienda Ospedaliero-Universitaria Ospedali Riuniti Ancona 'Umberto I, G. M. Lancisi, G. Salesi', Ancona
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
| | - Davide Curione
- Advanced Cardiovascular Imaging Unit - Department of Imaging, Bambino Gesù Children's Hospital
| | - Paolo Ciliberti
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
- Cardiology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome
| | - Alberto Clemente
- UOC Imaging Multimodale Cardiovascolare e Neuroradiologico - Dipartimento Immagini, Fondazione Toscana 'Gabriele Monasterio'/CNR - Pisa
| | - Giovanni Di Salvo
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
- Department of Women's and Children's Health, University of Padua, Padua
| | - Antonio Esposito
- Clinical and Experimental Radiology Unit, Experimental Imaging Center IRCCS Ospedale San Raffaele, Milan
| | | | - Alberto Gaeta
- Radiology Unit, Pediatric Hospital Giovanni XXIII, Bari
| | - Andrea Giovagnoni
- Radiology department, Azienda Ospedaliero-Universitaria Ospedali Riuniti Ancona 'Umberto I, G. M. Lancisi, G. Salesi', Ancona
| | - Maria Cristina Inserra
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
- Radiologia 2 - Centro Alta Specialità e Trapianti (C.A.S.T.), Azienda Ospedaliero Universitaria Policlinico San Marco. Catania
| | - Benedetta Leonardi
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
- Cardiology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome
| | - Simona Marcora
- Congenital Heart Diseases Working Group of the Italian Society of Cardiology, Rome
- USSD Cardiologia Pediatrica, ASST Grande Ospedale Metropolitano Niguarda, Milan
| | - Chiara Marrone
- Pediatric Cardiology and GUCH Unit, Fondazione 'G. Monasterio' CNR-Regione Toscana, Massa-Pisa
| | - Giuseppe Peritore
- U.O.C. di Radiodiagnostica, ARNAS Civico-Di Cristina-Benfratelli, Palermo
| | - Valeria Pergola
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua
| | - Francesca Pluchinotta
- Department of Pediatric Cardiology and Adult Congenital Heart Disease, IRCCS Policlinico San Donato, Milan
| | | | | | - Francesca Raimondi
- Department of Pediatric Cardiology, IRCCS Meyer Children's Hospital, Florence
| | - Camilla Sandrini
- Division of Cardiology, Department of Medicine, University of Verona, Verona
| | - Gaia Spaziani
- Department of Pediatric Cardiology, IRCCS Meyer Children's Hospital, Florence
| | - Bertrand Tchana
- Department of Pediatrics, Ospedale dei Bambini Barilla, University of Parma, Parma
| | | | - Lamia Ait-Ali
- Institute of Clinical Physiology, National Research Institute, Pisa, Italy
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Canton L, Suma N, Amicone S, Impellizzeri A, Bodega F, Marinelli V, Ciarlantini M, Casuso M, Bavuso L, Belà R, Salerno J, Armillotta M, Angeli F, Sansonetti A, Attinà D, Russo V, Lovato L, Tuttolomondo D, Gaibazzi N, Bergamaschi L, Pizzi C. Clinical impact of multimodality assessment of myocardial viability. Echocardiography 2024; 41:e15854. [PMID: 38940225 DOI: 10.1111/echo.15854] [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: 05/02/2024] [Accepted: 05/20/2024] [Indexed: 06/29/2024] Open
Abstract
Coronary artery disease (CAD) is a prevalent cause of left ventricular dysfunction. Nevertheless, effective elective revascularization, particularly surgical revascularization, can enhance long-term outcomes and, in selected cases, global left ventricular contractility. The assessment of myocardial viability and scars is still relevant in guiding treatment decisions and selecting patients who are likely to benefit most from blood flow restoration. Although the most recent randomized studies challenge the notion of "hibernating myocardium" and the clinical usefulness of assessing myocardial viability, the advancement of imaging techniques still renders this assessment valuable in specific situations. According to the guidelines of the European Society of Cardiology, non-invasive stress imaging may be employed to define myocardial ischemia and viability in patients with CAD and heart failure before revascularization. Currently, several non-invasive imaging techniques are available to evaluate the presence and extent of viable myocardium. The selection of the most suitable technique should be based on the patient, clinical context, and resource availability. This narrative review evaluates the characteristics of available imaging modalities for assessing myocardial viability to determine the most appropriate therapeutic strategy.
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Affiliation(s)
- Lisa Canton
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Nicole Suma
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Sara Amicone
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Andrea Impellizzeri
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Francesca Bodega
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Virginia Marinelli
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Mariachiara Ciarlantini
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Marcello Casuso
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Leonardo Bavuso
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Rebecca Belà
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Jessica Salerno
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Matteo Armillotta
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Francesco Angeli
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Angelo Sansonetti
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Domenico Attinà
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Vincenzo Russo
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Luigi Lovato
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | | | - Nicola Gaibazzi
- Department of Cardiology, Parma University Hospital, Parma, Italy
| | - Luca Bergamaschi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Carmine Pizzi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, Bologna, Italy
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Lopes V, Almeida PC, Moreira N, Ferreira LA, Teixeira R, Donato P, Gonçalves L. Computed tomography imaging in preprocedural planning of transcatheter valvular heart interventions. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024; 40:1163-1181. [PMID: 38780710 DOI: 10.1007/s10554-024-03140-9] [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: 11/05/2023] [Accepted: 05/13/2024] [Indexed: 05/25/2024]
Abstract
Cardiac Computed Tomography (CCT) has become a reliable imaging modality in cardiology providing robust information on the morphology and structure of the heart with high temporal and isotropic spatial resolution. For the past decade, there has been a paradigm shift in the management of valvular heart disease since previously unfavorable candidates for surgery are now provided with less-invasive interventions. Transcatheter heart valve interventions provide a real alternative to medical and surgical management and are often the only treatment option for valvular heart disease patients. Successful transcatheter valve interventions rely on comprehensive multimodality imaging assessment. CCT is the mainstay imaging technique for preprocedural planning of these interventions. CCT is critical in guiding patient selection, choice of procedural access, device selection, procedural guidance, as well as allowing postprocedural follow-up of complications. This article aims to review the current evidence of the role of CCT in the preprocedural planning of patients undergoing transcatheter valvular interventions.
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Affiliation(s)
- Vanessa Lopes
- Cardiology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
| | - Pedro Carvalho Almeida
- Medical Imaging Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
| | - Nádia Moreira
- Cardiology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
| | - Luís Amaral Ferreira
- Medical Imaging Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
| | - Rogério Teixeira
- Cardiology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
- Faculty of Medicine, Univ Coimbra, Coimbra, Portugal
| | - Paulo Donato
- Medical Imaging Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
- Faculty of Medicine, Univ Coimbra, Coimbra, Portugal
- Univ Coimbra, Coimbra Institute for Biomedical Imaging and Translation Research (CIBIT), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
| | - Lino Gonçalves
- Cardiology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
- Faculty of Medicine, Univ Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Univ Coimbra, Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology (CIBB), Univ Coimbra, Coimbra, Portugal
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Chen W, Nie J, Zhang M, Zhu Z, Zhou Y, Wu Q, He X. The Plaque Analysis Classifies the Coronary Artery Disease-Reporting and Data System (CAD-RADS) Stenosis and Plaque Burden Categories: Association of the Plaque Features, Fat Attenuation Index, Coronary Computed Tomography Fractional Flow Reserve, and the Combination of Stenosis and Calcification. Clin Cardiol 2024; 47:e24305. [PMID: 38884449 PMCID: PMC11181293 DOI: 10.1002/clc.24305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 05/20/2024] [Accepted: 05/30/2024] [Indexed: 06/18/2024] Open
Abstract
BACKGROUND The coronary artery disease-reporting and data system (CAD-RADS) 2.0 is used to standardize the reporting of coronary computed tomography angiography (CCTA) results. Artificial intelligence software can quantify the plaque composition, fat attenuation index, and fractional flow reserve. OBJECTIVE To analyze plaque features of varying severity in patients with a combination of CAD-RADS stenosis and plaque burden categorization and establish a random forest classification model. METHODS The data of 100 patients treated between April 2021 and February 2022 were retrospectively collected. The most severe plaque observed in each patient was the target lesion. Patients were categorized into three groups according to CAD-RADS: CAD-RADS 1-2 + P0-2, CAD-RADS 3-4B + P0-2, and CAD-RADS 3-4B + P3-4. Differences and correlations between variables were assessed between groups. AUC, accuracy, precision, recall, and F1 score were used to evaluate the diagnostic performance. RESULTS A total of 100 patients and 178 arteries were included. The differences of computed tomography fractional flow reserve (CT-FFR) (H = 23.921, p < 0.001), the volume of lipid component (H = 12.996, p = 0.002), the volume of fibro-lipid component (H = 8.692, p = 0.013), the proportion of lipid component volume (H = 22.038, p < 0.001), the proportion of fibro-lipid component volume (H = 11.731, p = 0.003), the proportion of calcification component volume (H = 11.049, p = 0.004), and plaque type (χ2 = 18.110, p = 0.001) was statistically significant. CONCLUSION CT-FFR, volume and proportion of lipid and fibro-lipid components of plaques, the proportion of calcified components, and plaque type were valuable for CAD-RADS stenosis + plaque burden classification, especially CT-FFR, volume, and proportion of lipid and fibro-lipid components. The model built using the random forest was better than the clinical model (AUC: 0.874 vs. 0.647).
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Affiliation(s)
- Wenxi Chen
- Graduate SchoolGuangzhou University of Chinese MedicineGuangzhouChina
| | - Jiyan Nie
- Graduate SchoolGuangzhou University of Chinese MedicineGuangzhouChina
| | - Mingyu Zhang
- Graduate SchoolGuangzhou University of Chinese MedicineGuangzhouChina
| | - Zhi Zhu
- Graduate SchoolGuangzhou University of Chinese MedicineGuangzhouChina
- Department of RadiologyShunde Hospital of Guangzhou University of Chinese MedicineShundeChina
| | - Yuanyong Zhou
- Department of RadiologyShunde Hospital of Guangzhou University of Chinese MedicineShundeChina
| | - Qingde Wu
- Department of RadiologyShunde Hospital of Guangzhou University of Chinese MedicineShundeChina
| | - Xuxia He
- Department of RadiologyShunde Hospital of Guangzhou University of Chinese MedicineShundeChina
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Li B, Chen H, Wang H, Hong L, Yang L. An Overview of Computational Coronary Physiology Technologies Based on Medical Imaging and Artificial Intelligence. Rev Cardiovasc Med 2024; 25:211. [PMID: 39076307 PMCID: PMC11270081 DOI: 10.31083/j.rcm2506211] [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: 11/13/2023] [Revised: 12/26/2023] [Accepted: 01/15/2024] [Indexed: 07/31/2024] Open
Abstract
This article reviews four new technologies for assessment of coronary hemodynamics based on medical imaging and artificial intelligence, including quantitative flow ratio (QFR), optical flow ratio (OFR), computational fractional flow reserve (CT-FFR) and artificial intelligence (AI)-based instantaneous wave-free ratio (iFR). These technologies use medical imaging such as coronary angiography, computed tomography angiography (CTA), and optical coherence tomography (OCT), to reconstruct three-dimensional vascular models through artificial intelligence algorithms, simulate and calculate hemodynamic parameters in the coronary arteries, and achieve non-invasive and rapid assessment of the functional significance of coronary stenosis. This article details the working principles, advantages such as non-invasiveness, efficiency, accuracy, limitations such as image dependency, and assumption restrictions, of each technology. It also compares and analyzes the image dependency, calculation accuracy, calculation speed, and operation simplicity, of the four technologies. The results show that these technologies are highly consistent with the traditional invasive wire method, and shows distinct advantages in terms of accuracy, reliability, convenience and cost-effectiveness, but there are also factors that affect accuracy. The results of this review demonstrates that AI-based iFR technology is currently one of the most promising technologies. The main challenges and directions for future development are also discussed. These technologies bring new ideas for the non-invasive assessment of coronary artery disease, and are expected to promote the technological progress in this field.
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Affiliation(s)
- Bin Li
- Department of Cardiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, 330006 Nanchang, Jiangxi, China
| | - Huaigang Chen
- Department of Cardiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, 330006 Nanchang, Jiangxi, China
- Jiangxi Medical College, Nanchang University, 330036 Nanchang, Jiangxi, China
| | - Hong Wang
- Department of Cardiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, 330006 Nanchang, Jiangxi, China
| | - Lang Hong
- Department of Cardiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, 330006 Nanchang, Jiangxi, China
| | - Liu Yang
- Department of Cardiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, 330006 Nanchang, Jiangxi, China
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Deneke T, Kutyifa V, Hindricks G, Sommer P, Zeppenfeld K, Carbucicchio C, Pürerfellner H, Heinzel FR, Traykov VB, De Riva M, Pontone G, Lehmkuhl L, Haugaa K. Pre- and post-procedural cardiac imaging (computed tomography and magnetic resonance imaging) in electrophysiology: a clinical consensus statement of the European Heart Rhythm Association and European Association of Cardiovascular Imaging of the European Society of Cardiology. Europace 2024; 26:euae108. [PMID: 38743765 PMCID: PMC11104536 DOI: 10.1093/europace/euae108] [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: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 05/16/2024] Open
Abstract
Imaging using cardiac computed tomography (CT) or magnetic resonance (MR) imaging has become an important option for anatomic and substrate delineation in complex atrial fibrillation (AF) and ventricular tachycardia (VT) ablation procedures. Computed tomography more common than MR has been used to detect procedure-associated complications such as oesophageal, cerebral, and vascular injury. This clinical consensus statement summarizes the current knowledge of CT and MR to facilitate electrophysiological procedures, the current value of real-time integration of imaging-derived anatomy, and substrate information during the procedure and the current role of CT and MR in diagnosing relevant procedure-related complications. Practical advice on potential advantages of one imaging modality over the other is discussed for patients with implanted cardiac rhythm devices as well as for planning, intraprocedural integration, and post-interventional management in AF and VT ablation patients. Establishing a team of electrophysiologists and cardiac imaging specialists working on specific details of imaging for complex ablation procedures is key. Cardiac magnetic resonance (CMR) can safely be performed in most patients with implanted active cardiac devices. Standard procedures for pre- and post-scanning management of the device and potential CMR-associated device malfunctions need to be in place. In VT patients, imaging-specifically MR-may help to determine scar location and mural distribution in patients with ischaemic and non-ischaemic cardiomyopathy beyond evaluating the underlying structural heart disease. Future directions in imaging may include the ability to register multiple imaging modalities and novel high-resolution modalities, but also refinements of imaging-guided ablation strategies are expected.
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Affiliation(s)
- Thomas Deneke
- Clinic for Rhythmology at Klinikum Nürnberg Campus Süd, University Hospital of the Paracelsus Medical University, Nuremberg, Germany
| | | | | | | | - Katja Zeppenfeld
- Department of Cardiology, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | | | - Helmut Pürerfellner
- Department of Clinical Electrophysiology, Ordensklinikum Linz Elisabethinen, Linz, Austria
| | - Frank R Heinzel
- Städtisches Klinikum Dresden, Department of Cardiology, Angiology and Intensive Care Medicine, Dresden, Germany
| | - Vassil B Traykov
- Department of Invasive Electrophysiology and Cardiac Pacing, Acibadem City Clinic Tokuda Hospital, Sofia, Bulgaria
| | - Marta De Riva
- Department of Cardiology, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Lukas Lehmkuhl
- Department of Radiology, Heart Center RHÖN-KLINIKUM Campus Bad Neustadt, Germany
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Montino Pelagi G, Baggiano A, Regazzoni F, Fusini L, Alì M, Pontone G, Valbusa G, Vergara C. Personalized Pressure Conditions and Calibration for a Predictive Computational Model of Coronary and Myocardial Blood Flow. Ann Biomed Eng 2024; 52:1297-1312. [PMID: 38334838 PMCID: PMC10995040 DOI: 10.1007/s10439-024-03453-9] [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: 07/25/2023] [Accepted: 01/14/2024] [Indexed: 02/10/2024]
Abstract
Predictive modeling of hyperemic coronary and myocardial blood flow (MBF) greatly supports diagnosis and prognostic stratification of patients suffering from coronary artery disease (CAD). In this work, we propose a novel strategy, using only readily available clinical data, to build personalized inlet conditions for coronary and MBF models and to achieve an effective calibration for their predictive application to real clinical cases. Experimental data are used to build personalized pressure waveforms at the aortic root, representative of the hyperemic state and adapted to surrogate the systolic contraction, to be used in computational fluid-dynamics analyses. Model calibration to simulate hyperemic flow is performed in a "blinded" way, not requiring any additional exam. Coronary and myocardial flow simulations are performed in eight patients with different clinical conditions to predict FFR and MBF. Realistic pressure waveforms are recovered for all the patients. Consistent pressure distribution, blood velocities in the large arteries, and distribution of MBF in the healthy myocardium are obtained. FFR results show great accuracy with a per-vessel sensitivity and specificity of 100% according to clinical threshold values. Mean MBF shows good agreement with values from stress-CTP, with lower values in patients with diagnosed perfusion defects. The proposed methodology allows us to quantitatively predict FFR and MBF, by the exclusive use of standard measures easily obtainable in a clinical context. This represents a fundamental step to avoid catheter-based exams and stress tests in CAD diagnosis.
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Affiliation(s)
- Giovanni Montino Pelagi
- LABS, Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, 20133, Milan, Italy.
| | - Andrea Baggiano
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Francesco Regazzoni
- MOX, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
| | - Laura Fusini
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138, Milan, Italy
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133, Milan, Italy
| | - Marco Alì
- Bracco Imaging S.p.A., Via Caduti di Marcinelle 13, 20134, Milan, Italy
- Department of Diagnostic Imaging and Stereotactic Radiosurgery, Centro Diagnostico Italiano S.p.A., Via Saint Bon 20, 20147, Milan, Italy
| | - Gianluca Pontone
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20134, Milan, Italy
| | - Giovanni Valbusa
- Bracco Imaging S.p.A., Via Caduti di Marcinelle 13, 20134, Milan, Italy
| | - Christian Vergara
- LABS, Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, 20133, Milan, Italy
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9
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Pontone G, Rossi A, Baggiano A, Andreini D, Conte E, Fusini L, Gebhard C, Rabbat MG, Guaricci A, Guglielmo M, Muscogiuri G, Mushtaq S, Al-Mallah MH, Berman DS, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Chun EJ, de Araújo Gonçalves P, Gottlieb I, Hadamitzky M, Kim YJ, Lee BK, Lee SE, Maffei E, Marques H, Samady H, Shin S, Sung JM, van Rosendael A, Virmani R, Bax JJ, Leipsic JA, Lin FY, Min JK, Narula J, Shaw LJ, Chang HJ. Progression of non-obstructive coronary plaque: a practical CCTA-based risk score from the PARADIGM registry. Eur Radiol 2024; 34:2665-2676. [PMID: 37750979 DOI: 10.1007/s00330-023-09880-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 03/27/2023] [Accepted: 04/14/2023] [Indexed: 09/27/2023]
Abstract
OBJECTIVES No clear recommendations are endorsed by the different scientific societies on the clinical use of repeat coronary computed tomography angiography (CCTA) in patients with non-obstructive coronary artery disease (CAD). This study aimed to develop and validate a practical CCTA risk score to predict medium-term disease progression in patients at a low-to-intermediate probability of CAD. METHODS Patients were part of the Progression of AtheRosclerotic PlAque Determined by Computed Tomographic Angiography Imaging (PARADIGM) registry. Specifically, 370 (derivation cohort) and 219 (validation cohort) patients with two repeat, clinically indicated CCTA scans, non-obstructive CAD, and absence of high-risk plaque (≥ 2 high-risk features) at baseline CCTA were included. Disease progression was defined as the new occurrence of ≥ 50% stenosis and/or high-risk plaque at follow-up CCTA. RESULTS In the derivation cohort, 104 (28%) patients experienced disease progression. The median time interval between the two CCTAs was 3.3 years (2.7-4.8). Odds ratios for disease progression derived from multivariable logistic regression were as follows: 4.59 (95% confidence interval: 1.69-12.48) for the number of plaques with spotty calcification, 3.73 (1.46-9.52) for the number of plaques with low attenuation component, 2.71 (1.62-4.50) for 25-49% stenosis severity, 1.47 (1.17-1.84) for the number of bifurcation plaques, and 1.21 (1.02-1.42) for the time between the two CCTAs. The C-statistics of the model were 0.732 (0.676-0.788) and 0.668 (0.583-0.752) in the derivation and validation cohorts, respectively. CONCLUSIONS The new CCTA-based risk score is a simple and practical tool that can predict mid-term CAD progression in patients with known non-obstructive CAD. CLINICAL RELEVANCE STATEMENT The clinical implementation of this new CCTA-based risk score can help promote the management of patients with non-obstructive coronary disease in terms of timing of imaging follow-up and therapeutic strategies. KEY POINTS • No recommendations are available on the use of repeat CCTA in patients with non-obstructive CAD. • This new CCTA score predicts mid-term CAD progression in patients with non-obstructive stenosis at baseline. • This new CCTA score can help guide the clinical management of patients with non-obstructive CAD.
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Affiliation(s)
- Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Andrea Baggiano
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Daniele Andreini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Edoardo Conte
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Laura Fusini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Chaterine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Mark G Rabbat
- Division of Cardiology, Loyola University Chicago, Edward Hines Jr. VA Hospital, Hines, Chicago, IL, USA
| | - Andrea Guaricci
- Department of Emergency and Organ Transplantation, Institute of Cardiovascular Disease, University Hospital Policlinico of Bari, Bari, Italy
| | - Marco Guglielmo
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Giuseppe Muscogiuri
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA, USA
| | | | | | | | - Eun Ju Chun
- Seoul National University Bundang Hospital, Sungnam, South Korea
| | - Pedro de Araújo Gonçalves
- Unit of Cardiovascular Imaging, UNICA, Hospital da Luz, Lisbon, Portugal
- NOVA Medical School, Lisbon, Portugal
| | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Cardiovascular Center, Seoul, South Korea
| | - Byoung Kwon Lee
- Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
- Yonsei‑Cedars‑Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Erica Maffei
- Department of Radiology, Area Vasta 1/ASUR, Marche, Urbino, Italy
| | - Hugo Marques
- Unit of Cardiovascular Imaging, UNICA, Hospital da Luz, Lisbon, Portugal
| | - Habib Samady
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - Sanghoon Shin
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Ji Min Sung
- Yonsei‑Cedars‑Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Alexander van Rosendael
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Turku Heart Center, University of Turku, Turku University Hospital, Turku, Finland
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Fay Y Lin
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | | | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Leslee J Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Hyuk-Jae Chang
- Yonsei‑Cedars‑Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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10
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Kwiecinski J. Artificial Intelligence-Based Quantitative Coronary Plaque Analysis. JACC Cardiovasc Imaging 2024; 17:281-283. [PMID: 37715775 DOI: 10.1016/j.jcmg.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/03/2023] [Indexed: 09/18/2023]
Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
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11
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Çap M, Ramasamy A, Parasa R, Tanboga IH, Maung S, Morgan K, Yap NAL, Abou Gamrah M, Sokooti H, Kitslaar P, Reiber JHC, Dijkstra J, Torii R, Moon JC, Mathur A, Baumbach A, Pugliese F, Bourantas CV. Efficacy of human experts and an automated segmentation algorithm in quantifying disease pathology in coronary computed tomography angiography: A head-to-head comparison with intravascular ultrasound imaging. J Cardiovasc Comput Tomogr 2024; 18:142-153. [PMID: 38143234 DOI: 10.1016/j.jcct.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/26/2023] [Accepted: 12/18/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA) analysis is currently performed by experts and is a laborious process. Fully automated edge-detection methods have been developed to expedite CCTA segmentation however their use is limited as there are concerns about their accuracy. This study aims to compare the performance of an automated CCTA analysis software and the experts using near-infrared spectroscopy-intravascular ultrasound imaging (NIRS-IVUS) as a reference standard. METHODS Fifty-one participants (150 vessels) with chronic coronary syndrome who underwent CCTA and 3-vessel NIRS-IVUS were included. CCTA analysis was performed by an expert and an automated edge detection method and their estimations were compared to NIRS-IVUS at a segment-, lesion-, and frame-level. RESULTS Segment-level analysis demonstrated a similar performance of the two CCTA analyses (conventional and automatic) with large biases and limits of agreement compared to NIRS-IVUS estimations for the total atheroma (ICC: 0.55 vs 0.25, mean difference:192 (-102-487) vs 243 (-132-617) and percent atheroma volume (ICC: 0.30 vs 0.12, mean difference: 12.8 (-5.91-31.6) vs 20.0 (0.79-39.2). Lesion-level analysis showed that the experts were able to detect more accurately lesions than the automated method (68.2 % and 60.7 %) however both analyses had poor reliability in assessing the minimal lumen area (ICC 0.44 vs 0.36) and the maximum plaque burden (ICC 0.33 vs 0.33) when NIRS-IVUS was used as the reference standard. CONCLUSIONS Conventional and automated CCTA analyses had similar performance in assessing coronary artery pathology using NIRS-IVUS as a reference standard. Therefore, automated segmentation can be used to expedite CCTA analysis and enhance its applications in clinical practice.
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Affiliation(s)
- Murat Çap
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK; Department of Cardiology, University of Health Sciences Diyarbakır Gazi Yaşargil Education and Research Hospital, Diyarbakır, Turkey.
| | - Anantharaman Ramasamy
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Ramya Parasa
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK; Department of Cardiology, The Essex Cardiothoracic Centre, Basildon, UK
| | - Ibrahim H Tanboga
- Istanbul Nisantasi University Medical School, Department of Cardiology & Biostatistics, Istanbul, Turkey
| | - Soe Maung
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Kimberley Morgan
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Nathan A L Yap
- Barts and the London School of Medicine and Dentistry, London, UK
| | | | | | | | - Johan H C Reiber
- Medis Medical Imaging, Leiden, the Netherlands; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jouke Dijkstra
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ryo Torii
- Department of Mechanical Engineering, University College London, London, UK
| | - James C Moon
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Institute of Cardiovascular Sciences, University College London, London, UK
| | - Anthony Mathur
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Andreas Baumbach
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Christos V Bourantas
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK; Institute of Cardiovascular Sciences, University College London, London, UK.
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12
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Nurmohamed NS, Bom MJ, Jukema RA, de Groot RJ, Driessen RS, van Diemen PA, de Winter RW, Gaillard EL, Sprengers RW, Stroes ESG, Min JK, Earls JP, Cardoso R, Blankstein R, Danad I, Choi AD, Knaapen P. AI-Guided Quantitative Plaque Staging Predicts Long-Term Cardiovascular Outcomes in Patients at Risk for Atherosclerotic CVD. JACC Cardiovasc Imaging 2024; 17:269-280. [PMID: 37480907 DOI: 10.1016/j.jcmg.2023.05.020] [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: 01/19/2023] [Revised: 05/17/2023] [Accepted: 05/30/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND The recent development of artificial intelligence-guided quantitative coronary computed tomography angiography analysis (AI-QCT) has enabled rapid analysis of atherosclerotic plaque burden and characteristics. OBJECTIVES This study set out to investigate the 10-year prognostic value of atherosclerotic burden derived from AI-QCT and to compare the spectrum of plaque to manually assessed coronary computed tomography angiography (CCTA), coronary artery calcium scoring (CACS), and clinical risk characteristics. METHODS This was a long-term follow-up study of 536 patients referred for suspected coronary artery disease. CCTA scans were analyzed with AI-QCT and plaque burden was classified with a plaque staging system (stage 0: 0% percentage atheroma volume [PAV]; stage 1: >0%-5% PAV; stage 2: >5%-15% PAV; stage 3: >15% PAV). The primary major adverse cardiac event (MACE) outcome was a composite of nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, and all-cause mortality. RESULTS The mean age at baseline was 58.6 years and 297 patients (55%) were male. During a median follow-up of 10.3 years (IQR: 8.6-11.5 years), 114 patients (21%) experienced the primary outcome. Compared to stages 0 and 1, patients with stage 3 PAV and percentage of noncalcified plaque volume of >7.5% had a more than 3-fold (adjusted HR: 3.57; 95% CI 2.12-6.00; P < 0.001) and 4-fold (adjusted HR: 4.37; 95% CI: 2.51-7.62; P < 0.001) increased risk of MACE, respectively. Addition of AI-QCT improved a model with clinical risk factors and CACS at different time points during follow-up (10-year AUC: 0.82 [95% CI: 0.78-0.87] vs 0.73 [95% CI: 0.68-0.79]; P < 0.001; net reclassification improvement: 0.21 [95% CI: 0.09-0.38]). Furthermore, AI-QCT achieved an improved area under the curve compared to Coronary Artery Disease Reporting and Data System 2.0 (10-year AUC: 0.78; 95% CI: 0.73-0.83; P = 0.023) and manual QCT (10-year AUC: 0.78; 95% CI: 0.73-0.83; P = 0.040), although net reclassification improvement was modest (0.09 [95% CI: -0.02 to 0.29] and 0.04 [95% CI: -0.05 to 0.27], respectively). CONCLUSIONS Through 10-year follow-up, AI-QCT plaque staging showed important prognostic value for MACE and showed additional discriminatory value over clinical risk factors, CACS, and manual guideline-recommended CCTA assessment.
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Affiliation(s)
- Nick S Nurmohamed
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands; Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA. https://twitter.com/NickNurmohamed
| | - Michiel J Bom
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Robin J de Groot
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emilie L Gaillard
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Ralf W Sprengers
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | | | - James P Earls
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA; Cleerly Inc, Denver, Colorado, USA
| | - Rhanderson Cardoso
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ron Blankstein
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Andrew D Choi
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA.
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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13
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Leo I, Sabatino J, Avesani M, Moscatelli S, Bianco F, Borrelli N, De Sarro R, Leonardi B, Calcaterra G, Surkova E, Di Salvo G. Non-Invasive Imaging Assessment in Patients with Aortic Coarctation: A Contemporary Review. J Clin Med 2023; 13:28. [PMID: 38202035 PMCID: PMC10779918 DOI: 10.3390/jcm13010028] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/08/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024] Open
Abstract
Coarctation of the aorta (CoA) is a congenital abnormality characterized by a narrowing of the aortic lumen, which can lead to significant morbidity and mortality if left untreated. Even after repair and despite significant advances in therapeutic management, these patients have overall reduced long-term survival due to the consequences of chronic afterload increase. Cardiovascular imaging is key from the first diagnosis to serial follow-up. In recent years, novel imaging techniques have emerged, increasing accessibility to advanced imaging modalities and enabling early and non-invasive identification of complications after repair. The aim of this paper is to provide a comprehensive review of the role of different imaging techniques in the evaluation and management of patients with native or repaired CoA, highlighting their unique strengths and limitations.
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Affiliation(s)
- Isabella Leo
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (I.L.)
- CMR Unit, Royal Brompton and Harefield Hospitals, London SW3 5NP, UK;
| | - Jolanda Sabatino
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (I.L.)
- Pediatric Cardiology Unit, Department of Woman’s and Child’s Health, University Hospital of Padova, 35128 Padova, Italy;
| | - Martina Avesani
- Pediatric Cardiology Unit, Department of Woman’s and Child’s Health, University Hospital of Padova, 35128 Padova, Italy;
| | - Sara Moscatelli
- Centre for Inherited Cardiovascular Disease, Great Ormond Street Hospital, London WC1N 3JH, UK;
- Institute of Cardiovascular Sciences, University College London, London WC1E 6BT, UK
| | - Francesco Bianco
- Cardiovascular Sciences Department, AOU “Ospedali Riuniti”, 60126 Ancona, Italy;
| | - Nunzia Borrelli
- Adult Congenital Heart Disease Unit, AO dei Colli, Monaldi Hospital, 80131 Naples, Italy
| | - Rosalba De Sarro
- Department of Experimental and Clinical Medicine, University of Messina, 98166 Messina, Italy;
| | - Benedetta Leonardi
- Department of Pediatric Cardiology, Cardiac Surgery and Heart Lung Transplantation, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy;
| | | | - Elena Surkova
- CMR Unit, Royal Brompton and Harefield Hospitals, London SW3 5NP, UK;
| | - Giovanni Di Salvo
- Pediatric Cardiology Unit, Department of Woman’s and Child’s Health, University Hospital of Padova, 35128 Padova, Italy;
- Paediatric Research Institute (IRP), Città Della Speranza, 35127 Padua, Italy
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14
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Sliwicka O, Baggiano A, Sechopoulos I, Pontone G. Stress-only dynamic computed tomography perfusion protocol (CTP) alone without computed tomography coronary angiography (CCTA) has limited specificity to diagnose ischemia: A retrospective two-center study. Eur J Radiol 2023; 169:111152. [PMID: 37866193 DOI: 10.1016/j.ejrad.2023.111152] [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: 07/11/2023] [Revised: 09/20/2023] [Accepted: 10/16/2023] [Indexed: 10/24/2023]
Abstract
PURPOSE To investigate diagnostic performance of stress-only dynamic myocardial computed tomography perfusion (CTP) without computed tomography coronary angiography (CCTA) to diagnose ischemia with invasive fractional flow reserve (FFR) as a reference standard. METHOD 135 datasets (68 positive for ischemia with invasive FFR < 0.8) acquired with a 256-slice CT system (Revolution, GE Healthcare, Chicago, IL, USA) were retrieved, postprocessed with a deep learning-based algorithm (Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical Systems, Otawara, Japan) (FC03/cardiac kernel, 8 mm slice thickness), analyzed using a dedicated workstation (Vitrea research 7.11.0. Vital Images, Minnetonka, MN, USA), and loaded into a clinical workstation (CardIQ, GE Healthcare, Chicago, IL, USA) for review. Ten observers with various experience from two research sites evaluated the post-processed images, perfusion slices and maps to indicate presence vs absence of perfusion defect and its probability (five-point Likert scale). Binary decisions and probability scores were used to calculate sensitivity and specificity for each reader, and to create receiver operating characteristics (ROC) curves, respectively. Furthermore, the correlation coefficient (ICC) was computed. ROC AUC of a purely quantitative analysis was obtained thanks to a color-coded map with a fixed scale superimposed on myocardial walls displaying myocardial blood flow (MBF) values. RESULTS The overall case-based sensitivity and specificity for the detection of perfusion deficit were 0.79 and 0.30, respectively. No significant differences were detected in the AUC across readers (p value = 0.66). The AUC values were 0.50, 0.58, 0.63, 0.59, 0.45, 0.60, 0.56, 0.61, 0.52, 0.61. Absolute reader agreement ICC was 0.60 (good agreement) for an average case. CONCLUSION Dynamic CTP alone has good sensitivity, but low specificity when analyzed without CCTA. These findings reinforce the need to guide the interpretation functional test with the knowledge of coronary artery anatomy.
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Affiliation(s)
- Olga Sliwicka
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andrea Baggiano
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Ioannis Sechopoulos
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands; Technical Medicine Center, University of Twente, Enschede, the Netherlands.
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
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15
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Petersen SE, Muraru D, Westwood M, Dweck MR, Di Salvo G, Delgado V, Cosyns B. The year 2022 in the European Heart Journal-Cardiovascular Imaging: Part I. Eur Heart J Cardiovasc Imaging 2023; 24:1593-1604. [PMID: 37738411 DOI: 10.1093/ehjci/jead237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 09/13/2023] [Indexed: 09/24/2023] Open
Abstract
The European Heart Journal-Cardiovascular Imaging with its over 10 years existence is an established leading multi-modality cardiovascular imaging journal. Pertinent publications including original research, how-to papers, reviews, consensus documents, and in our journal from 2022 have been highlighted in two reports. Part I focuses on cardiomyopathies, heart failure, valvular heart disease, and congenital heart disease and related emerging techniques and technologies.
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Affiliation(s)
- Steffen E Petersen
- William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Denisa Muraru
- Department of cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Mark Westwood
- William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Little France Crescent, Edinburgh EH16 4SB, UK
| | - Giovanni Di Salvo
- Pediatric Cardiology and Congenital Heart Disease Unit, Department of Women's and Children's Health, University Hospital Padua, Padua, Italy
| | - Victoria Delgado
- Cardiovascular Imaging, Department of Cardiology, Hospital University Germans Trias i Pujol, Badalona, Spain
- Centre de Medicina Comparativa i Bioimatge (CMCIB), Badalona, Spain
| | - Bernard Cosyns
- Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Universitair Ziekenhuis Brussel, 101 Laarbeeklaan, Brussels 1090, Belgium
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16
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Pontone G, Rossi A, Gimelli A, Neglia D. Should we choose CT angiography first instead of SPECT/PET first for the diagnosis and management of coronary artery disease? Atherosclerosis 2023; 385:117315. [PMID: 37890440 DOI: 10.1016/j.atherosclerosis.2023.117315] [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: 06/21/2023] [Revised: 09/04/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
In patients presenting with chest pain, current guidelines recommend the use of coronary computed tomography angiography and single-photon emission tomography/positron emission tomography, both with equal class 1 indication and level of evidence A. There is no clear recommendation on which test should be used as a first-line test. The choice of the test should be based on individualized clinical risk assessment, patient characteristics, local expertise/availability, and patient preferences. In this context, it is fair to ask which non-invasive imaging test to choose. The debate reproduced in this article answers this question by summarizing the considerations in selecting present state-of-the-art criteria of the right test for the right patient to ensure efficient resource utilization, minimize unnecessary testing, and maximize diagnostic accuracy and therapeutic efficacy.
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Affiliation(s)
- Gianluca Pontone
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland
| | - Alessia Gimelli
- Imaging Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Danilo Neglia
- Cardiovascular and Imaging Departments, Fondazione Toscana Gabriele Monasterio, Pisa, Italy; Sant'Anna School of Advanced Studies, Pisa, Italy
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17
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Jepson BM, Rigsby CK, Hlavacek AM, Prakash A, Priya S, Barfuss S, Chelliah A, Binka E, Nicol E, Ghoshhajra B, Han BK. Proposed competencies for the performance of cardiovascular computed tomography in pediatric and adult congenital heart disease. J Cardiovasc Comput Tomogr 2023; 17:295-301. [PMID: 37625911 DOI: 10.1016/j.jcct.2023.08.002] [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: 06/06/2023] [Revised: 07/25/2023] [Accepted: 08/04/2023] [Indexed: 08/27/2023]
Abstract
Cardiovascular computed tomography (CCT) is rated appropriate by published guidelines for the initial evaluation and follow up of congenital heart disease (CHD) and is an essential modality in cardiac imaging programs for patients of all ages. However, no recommended core competencies exist to guide CCT in CHD imaging training pathways, curricula development, or establishment of a more formal educational platform. To fill this gap, a group of experienced congenital cardiac imagers, intentionally inclusive of adult and pediatric cardiologists and radiologists, was formed to propose core competencies fundamental to the expert-level performance of CCT in pediatric acquired and congenital heart disease and adult CHD. The 2020 SCCT Guideline for Training Cardiology and Radiology Trainees as Independent Practitioners (Level II) and Advanced Practitioners (Level III) in Cardiovascular Computed Tomography (1) for adult imaging were used as a framework to define pediatric and CHD-specific competencies. Established competencies will be immediately relevant for advanced cardiac imaging fellowships in both cardiology and radiology training pathways. Proposed future steps include radiology and cardiology society collaboration to establish provider certification levels, training case-volume recommendations, and continuing medical education (CME) requirements for expert-level performance of CCT in pediatric and adult CHD.
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Affiliation(s)
- Bryan M Jepson
- University of Utah, Intermountain Primary Children's Hospital, Salt Lake City, UT, USA
| | - Cynthia K Rigsby
- Ann & Robert H Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Anthony M Hlavacek
- Shawn Jenkins Children's Hospital, Department of Pediatrics, Division of Pediatric Cardiology, Medical University of South Carolina, Charleston, SC, USA
| | - Ashwin Prakash
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sarv Priya
- University of Iowa Hospitals & Clinics, Carver College of Medicine, Iowa City, IA, USA
| | - Spencer Barfuss
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Anjali Chelliah
- Division of Pediatric Cardiology, Goryeb Children's Hospital, Atlantic Health System, Morristown, NJ and Division of Pediatric Cardiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Edem Binka
- University of Utah, Intermountain Primary Children's Hospital, Salt Lake City, UT, USA
| | - Edward Nicol
- Royal Brompton and Harefield Hospitals, Imperial College of London School of Medicine, UK; School of Biomedical Engineering and Imaging Sciences, King's College, London, UK
| | - Brian Ghoshhajra
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - B Kelly Han
- University of Utah, Intermountain Primary Children's Hospital, Salt Lake City, UT, USA.
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18
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Baggiano A, Conte E, Spiritigliozzi L, Mushtaq S, Annoni A, Carerj ML, Cilia F, Fazzari F, Formenti A, Frappampina A, Fusini L, Gaudenzi Asinelli M, Junod D, Mancini ME, Mantegazza V, Maragna R, Marchetti F, Penso M, Tassetti L, Volpe A, Baessato F, Guglielmo M, Rossi A, Rovera C, Andreini D, Rabbat MG, Guaricci AI, Pepi M, Pontone G. Quantification of extracellular volume with cardiac computed tomography in patients with dilated cardiomyopathy. J Cardiovasc Comput Tomogr 2023; 17:261-268. [PMID: 37147147 DOI: 10.1016/j.jcct.2023.04.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/27/2023] [Accepted: 04/26/2023] [Indexed: 05/07/2023]
Abstract
BACKGROUND Cardiac computed tomography (CCT) was recently validated to measure extracellular volume (ECV) in the setting of cardiac amyloidosis, showing good agreement with cardiovascular magnetic resonance (CMR). However, no evidence is available with a whole-heart single source, single energy CT scanner in the clinical context of newly diagnosed left ventricular dysfunction. Therefore, the aim of this study was to test the diagnostic accuracy of ECVCCT in patients with a recent diagnosis of dilated cardiomyopathy, having ECVCMR as the reference technique. METHODS 39 consecutive patients with newly diagnosed dilated cardiomyopathy (LVEF <50%) scheduled for clinically indicated CMR were prospectively enrolled. Myocardial segment evaluability assessment with each technique, agreement between ECVCMR and ECVCCT, regression analysis, Bland-Altman analysis and interclass correlation coefficient (ICC) were performed. RESULTS Mean age of enrolled patients was 62 ± 11 years, and mean LVEF at CMR was 35.4 ± 10.7%. Overall radiation exposure for ECV estimation was 2.1 ± 1.1 mSv. Out of 624 myocardial segments available for analysis, 624 (100%) segments were assessable by CCT while 608 (97.4%) were evaluable at CMR. ECVCCT demonstrated slightly lower values compared to ECVCMR (all segments, 31.8 ± 6.5% vs 33.9 ± 8.0%, p < 0.001). At regression analysis, strong correlations were described (all segments, r = 0.819, 95% CI: 0.791 to 0.844). On Bland-Altman analysis, bias between ECVCMR and ECVCCT for global analysis was 2.1 (95% CI: -6.8 to 11.1). ICC analysis showed both high intra-observer and inter-observer agreement for ECVCCT calculation (0.986, 95%CI: 0.983 to 0.988 and 0.966, 95%CI: 0.960 to 0.971, respectively). CONCLUSIONS ECV estimation with a whole-heart single source, single energy CT scanner is feasible and accurate. Integration of ECV measurement in a comprehensive CCT evaluation of patients with newly diagnosed dilated cardiomyopathy can be performed with a small increase in overall radiation exposure.
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Affiliation(s)
- Andrea Baggiano
- Centro Cardiologico Monzino IRCCS, Milan, Italy; Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Edoardo Conte
- Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Luigi Spiritigliozzi
- Dipartimento di Diagnostica per Immagini e Radiologia Interventistica, Policlinico Tor Vergata, Rome, Italy
| | | | | | | | | | | | | | | | - Laura Fusini
- Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy
| | | | | | | | | | | | | | - Marco Penso
- Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy
| | | | | | - Francesca Baessato
- Department of Cardiology, San Maurizio Regional Hospital, Bolzano, Italy
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, the Netherlands; Department of Cardiology, Haga Teaching Hospital, The Hague, the Netherlands
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | | | - Daniele Andreini
- Centro Cardiologico Monzino IRCCS, Milan, Italy; Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Mark G Rabbat
- Loyola University of Chicago, Chicago, IL, USA; Edward Hines Jr. VA Hospital, Hines, IL, USA
| | - Andrea Igoren Guaricci
- Institute of Cardiovascular Disease, Department of Emergency and Organ Transplantation, University Hospital Policlinico of Bari, Bari, Italy
| | - Mauro Pepi
- Centro Cardiologico Monzino IRCCS, Milan, Italy
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19
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Zsarnóczay E, Varga-Szemes A, Emrich T, Szilveszter B, van der Werf NR, Mastrodicasa D, Maurovich-Horvat P, Willemink MJ. Characterizing the Heart and the Myocardium With Photon-Counting CT. Invest Radiol 2023; 58:505-514. [PMID: 36822653 DOI: 10.1097/rli.0000000000000956] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
ABSTRACT Noninvasive cardiac imaging has rapidly evolved during the last decade owing to improvements in computed tomography (CT)-based technologies, among which we highlight the recent introduction of the first clinical photon-counting detector CT (PCD-CT) system. Multiple advantages of PCD-CT have been demonstrated, including increased spatial resolution, decreased electronic noise, and reduced radiation exposure, which may further improve diagnostics and may potentially impact existing management pathways. The benefits that can be obtained from the initial experiences with PCD-CT are promising. The implementation of this technology in cardiovascular imaging allows for the quantification of coronary calcium, myocardial extracellular volume, myocardial radiomics features, epicardial and pericoronary adipose tissue, and the qualitative assessment of coronary plaques and stents. This review aims to discuss these major applications of PCD-CT with a focus on cardiac and myocardial characterization.
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Affiliation(s)
| | - Akos Varga-Szemes
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston
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20
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Dirrichs T, Tietz E, Rüffer A, Hanten J, Nguyen TD, Dethlefsen E, Kuhl CK. Photon-counting versus Dual-Source CT of Congenital Heart Defects in Neonates and Infants: Initial Experience. Radiology 2023; 307:e223088. [PMID: 37219443 DOI: 10.1148/radiol.223088] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Background Photon-counting CT (PCCT) has been shown to improve cardiovascular CT imaging in adults. Data in neonates, infants, and young children under the age of 3 years are missing. Purpose To compare image quality and radiation dose of ultrahigh-pitch PCCT with that of ultrahigh-pitch dual-source CT (DSCT) in children suspected of having congenital heart defects. Materials and Methods This is a prospective analysis of existing clinical CT studies in children suspected of having congenital heart defects who underwent contrast-enhanced PCCT or DSCT in the heart and thoracic aorta between January 2019 and October 2022. CT dose index and dose-length product were used to calculate effective radiation dose. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated by standardized region-of-interest analysis. SNR and CNR dose ratios were calculated. Visual image quality was assessed by four independent readers on a five-point scale: 5, excellent or absent; 4, good or minimal; 3, moderate; 2, limited or substantial; and 1, poor or massive. Results Contrast-enhanced PCCT (n = 30) or DSCT (n = 84) was performed in 113 children (55 female and 58 male participants; median age, 66 days [IQR, 15-270]; median height, 56 cm [IQR, 52-67]; and median weight, 4.5 kg [IQR, 3.4-7.1]). A diagnostic image quality score of at least 3 was obtained in 29 of 30 (97%) with PCCT versus 65 of 84 (77%) with DSCT. Mean overall image quality ratings were higher for PCCT versus DSCT (4.17 vs 3.16, respectively; P < .001). SNR and CNR were higher for PCCT versus DSCT with SNR (46.3 ± 16.3 vs 29.9 ± 15.3, respectively; P = .007) and CNR (62.0 ± 50.3 vs 37.2 ± 20.8, respectively; P = .001). Mean effective radiation doses were similar for PCCT and DSCT (0.50 mSv vs 0.52 mSv; P = .47). Conclusion At a similar radiation dose, PCCT offers a higher SNR and CNR and thus better cardiovascular imaging quality than DSCT in children suspected of having cardiac heart defects. © RSNA, 2023.
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Affiliation(s)
- Timm Dirrichs
- From the Department of Diagnostic and Interventional Radiology (T.D., E.T., E.D., C.K.K.), Department of Pediatric Heart Surgery (A.R., T.D.N.), and Department of Pediatric Cardiology (J.H.), RWTH Aachen University Hospital, Pauwelsstr 30, 52074 Aachen, Germany
| | - Eric Tietz
- From the Department of Diagnostic and Interventional Radiology (T.D., E.T., E.D., C.K.K.), Department of Pediatric Heart Surgery (A.R., T.D.N.), and Department of Pediatric Cardiology (J.H.), RWTH Aachen University Hospital, Pauwelsstr 30, 52074 Aachen, Germany
| | - André Rüffer
- From the Department of Diagnostic and Interventional Radiology (T.D., E.T., E.D., C.K.K.), Department of Pediatric Heart Surgery (A.R., T.D.N.), and Department of Pediatric Cardiology (J.H.), RWTH Aachen University Hospital, Pauwelsstr 30, 52074 Aachen, Germany
| | - Jens Hanten
- From the Department of Diagnostic and Interventional Radiology (T.D., E.T., E.D., C.K.K.), Department of Pediatric Heart Surgery (A.R., T.D.N.), and Department of Pediatric Cardiology (J.H.), RWTH Aachen University Hospital, Pauwelsstr 30, 52074 Aachen, Germany
| | - Thai Duy Nguyen
- From the Department of Diagnostic and Interventional Radiology (T.D., E.T., E.D., C.K.K.), Department of Pediatric Heart Surgery (A.R., T.D.N.), and Department of Pediatric Cardiology (J.H.), RWTH Aachen University Hospital, Pauwelsstr 30, 52074 Aachen, Germany
| | - Ebba Dethlefsen
- From the Department of Diagnostic and Interventional Radiology (T.D., E.T., E.D., C.K.K.), Department of Pediatric Heart Surgery (A.R., T.D.N.), and Department of Pediatric Cardiology (J.H.), RWTH Aachen University Hospital, Pauwelsstr 30, 52074 Aachen, Germany
| | - Christiane K Kuhl
- From the Department of Diagnostic and Interventional Radiology (T.D., E.T., E.D., C.K.K.), Department of Pediatric Heart Surgery (A.R., T.D.N.), and Department of Pediatric Cardiology (J.H.), RWTH Aachen University Hospital, Pauwelsstr 30, 52074 Aachen, Germany
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21
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Baessato F, Ewert P, Meierhofer C. CMR and Percutaneous Treatment of Pulmonary Regurgitation: Outreach the Search for the Best Candidate. Life (Basel) 2023; 13:life13051127. [PMID: 37240773 DOI: 10.3390/life13051127] [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: 03/22/2023] [Revised: 04/30/2023] [Accepted: 05/03/2023] [Indexed: 05/28/2023] Open
Abstract
Performance of cardiovascular magnetic resonance (CMR) in the planning phase of percutaneous pulmonary valve implantation (PPVI) is needed for the accurate delineation of the right ventricular outflow tract (RVOT), coronary anatomy and the quantification of right ventricular (RV) volume overload in patients with significant pulmonary regurgitation (PR). This helps to find the correct timings for the intervention and prevention of PPVI-related complications such as coronary artery compression, device embolization and stent fractures. A defined CMR study protocol should be set for all PPVI candidates to reduce acquisition times and acquire essential sequences that are determinants for PPVI success. For correct RVOT sizing, contrast-free whole-heart sequences, preferably at end-systole, should be adopted in the pediatric population thanks to their high reproducibility and concordance with invasive angiographic data. When CMR is not feasible or contraindicated, cardiac computed tomography (CCT) may be performed for high-resolution cardiac imaging and eventually the acquisition of complementary functional data. The aim of this review is to underline the role of CMR and advanced multimodality imaging in the context of pre-procedural planning of PPVI concerning its current and potential future applications.
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Affiliation(s)
- Francesca Baessato
- Department of Cardiology, Regional Hospital S. Maurizio, 39100 Bolzano, Italy
- Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, 80636 Munich, Germany
| | - Peter Ewert
- Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, 80636 Munich, Germany
| | - Christian Meierhofer
- Congenital Heart Disease and Pediatric Cardiology, German Heart Center Munich, 80636 Munich, Germany
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22
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Serruys PW, Kotoku N, Nørgaard BL, Garg S, Nieman K, Dweck MR, Bax JJ, Knuuti J, Narula J, Perera D, Taylor CA, Leipsic JA, Nicol ED, Piazza N, Schultz CJ, Kitagawa K, Bruyne BD, Collet C, Tanaka K, Mushtaq S, Belmonte M, Dudek D, Zlahoda-Huzior A, Tu S, Wijns W, Sharif F, Budoff MJ, Mey JD, Andreini D, Onuma Y. Computed tomographic angiography in coronary artery disease. EUROINTERVENTION 2023; 18:e1307-e1327. [PMID: 37025086 PMCID: PMC10071125 DOI: 10.4244/eij-d-22-00776] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 11/14/2022] [Indexed: 04/05/2023]
Abstract
Coronary computed tomographic angiography (CCTA) is becoming the first-line investigation for establishing the presence of coronary artery disease and, with fractional flow reserve (FFRCT), its haemodynamic significance. In patients without significant epicardial obstruction, its role is either to rule out atherosclerosis or to detect subclinical plaque that should be monitored for plaque progression/regression following prevention therapy and provide risk classification. Ischaemic non-obstructive coronary arteries are also expected to be assessed by non-invasive imaging, including CCTA. In patients with significant epicardial obstruction, CCTA can assist in planning revascularisation by determining the disease complexity, vessel size, lesion length and tissue composition of the atherosclerotic plaque, as well as the best fluoroscopic viewing angle; it may also help in selecting adjunctive percutaneous devices (e.g., rotational atherectomy) and in determining the best landing zone for stents or bypass grafts.
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Affiliation(s)
| | - Nozomi Kotoku
- Department of Cardiology, University of Galway, Galway, Ireland
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, UK
| | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Divaka Perera
- School of Cardiovascular Medicine and Sciences, British Heart Foundation Centre of Research Excellence, King's College London, London, UK
| | | | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Edward D Nicol
- Royal Brompton Hospital, London, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Nicolo Piazza
- Department of Medicine, Division of Cardiology, McGill University Health Center, Montreal, Quebec, Canada
| | - Carl J Schultz
- Division of Internal Medicine, Medical School, University of Western Australia, Perth, WA, Australia
- Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Mie, Japan
| | - Bernard De Bruyne
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
- Department of Cardiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Carlos Collet
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
| | - Kaoru Tanaka
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | | | | | - Darius Dudek
- Szpital Uniwersytecki w Krakowie, Krakow, Poland
| | - Adriana Zlahoda-Huzior
- Digital Innovations & Robotics Hub, Krakow, Poland
- Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland
| | - Shengxian Tu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - William Wijns
- Department of Cardiology, University of Galway, Galway, Ireland
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and CURAM, Galway, University of Galway, Galway, Ireland
| | - Faisal Sharif
- Department of Cardiology, University of Galway, Galway, Ireland
| | - Matthew J Budoff
- Division of Cardiology, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Johan de Mey
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant'Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Yoshinobu Onuma
- Department of Cardiology, University of Galway, Galway, Ireland
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23
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Tan WA, Hong R, Gao F, Chua SJT, Keng YJF, Koh CH. Outpatient Myocardial Perfusion Imaging Scan for a Low-Risk Chest Pain Cohort From the Emergency Department: A Retrospective Analysis. Curr Probl Cardiol 2023; 48:101517. [PMID: 36455794 DOI: 10.1016/j.cpcardiol.2022.101517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 11/16/2022] [Accepted: 11/25/2022] [Indexed: 11/30/2022]
Abstract
Chest pain accounts for a significant attendances at emergency departments (ED). We examined the utility of early stress myocardial perfusion imaging (SMPI) for stratification of low-risk patients post-ED discharge. A retrospective audit was conducted of patients with chest pain and normal troponin-T (<30Ng/L), who were discharged with outpatient SMPI (median = 3 days post-ED discharge) between January 2018 to January 2020. 880 patients were included and followed up for 12 months. Outcomes measured were: 1) Cardiac events (CE) within 1 year of visit or 2) Significant coronary artery disease (CAD) - coronary angiography demonstrating ≥70% stenosis of epicardial vessels or coronary revascularization procedures performed. In the SMPI negative group, 2 of 802 patients (0.25%) had significant CEs and 11 patients (1.37%) were diagnosed with significant CAD. Of the 78 SMPI positive patients, 1 (1.28%) had a significant CE, while 24 had significant CAD. SMPI had a sensitivity of 65.8%, specificity of 93.7%, positive predictive value of 32.1% and a negative predictive value of 98.4% for predicting adverse CE. Early SMPI post-ED discharge demonstrated high negative predictive value in predicting CEs or significant CAD diagnosis at up to 1 year, suggesting that low-risk patients discharge from ED with early outpatient SMPI is a safe management option.
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Affiliation(s)
- Weixian Alex Tan
- Department of Cardiology, National Heart Centre Singapore, Singapore.
| | - Rilong Hong
- Department of Cardiology, National Heart Centre Singapore, Singapore
| | - Fei Gao
- National Heart Research Institute, National Heart Centre Singapore, Singapore
| | | | | | - Choong Hou Koh
- Department of Cardiology, National Heart Centre Singapore, Singapore
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The Impact of Novel Reconstruction Algorithms on Calcium Scoring: Results on a Dedicated Cardiac CT Scanner. Diagnostics (Basel) 2023; 13:diagnostics13040789. [PMID: 36832277 PMCID: PMC9955482 DOI: 10.3390/diagnostics13040789] [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: 12/27/2022] [Revised: 01/27/2023] [Accepted: 02/10/2023] [Indexed: 02/22/2023] Open
Abstract
Contemporary reconstruction algorithms yield the potential of reducing radiation exposure by denoising coronary computed tomography angiography (CCTA) datasets. We aimed to assess the reliability of coronary artery calcium score (CACS) measurements with an advanced adaptive statistical iterative reconstruction (ASIR-CV) and model-based adaptive filter (MBAF2) designed for a dedicated cardiac CT scanner by comparing them to the gold-standard filtered back projection (FBP) calculations. We analyzed non-contrast coronary CT images of 404 consecutive patients undergoing clinically indicated CCTA. CACS and total calcium volume were quantified and compared on three reconstructions (FBP, ASIR-CV, and MBAF2+ASIR-CV). Patients were classified into risk categories based on CACS and the rate of reclassification was assessed. Patients were categorized into the following groups based on FBP reconstructions: 172 zero CACS, 38 minimal (1-10), 87 mild (11-100), 57 moderate (101-400), and 50 severe (400<). Overall, 19/404 (4.7%) patients were reclassified into a lower-risk group with MBAF2+ASIR-CV, while 8 additional patients (27/404, 6.7%) shifted downward when applying stand-alone ASIR-CV. The total calcium volume with FBP was 7.0 (0.0-133.25) mm3, 4.0 (0.0-103.5) mm3 using ASIR-CV, and 5.0 (0.0-118.5) mm3 with MBAF2+ASIR-CV (all comparisons p < 0.001). The concomitant use of ASIR-CV and MBAF2 may allow the reduction of noise levels while maintaining similar CACS values as FBP measurements.
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Katsiki N, Mikhailidis DP. Pericoronary Adipose Tissue in Atherosclerosis: Current and Future Perspectives. Angiology 2023; 74:5-6. [PMID: 36113124 DOI: 10.1177/00033197221127597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Affiliation(s)
- Niki Katsiki
- Department of Nutritional Sciences and Dietetics, School of Health Sciences, International Hellenic University, Sindos, Greece
| | - Dimitri P Mikhailidis
- Department of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London Medical School, University College London (UCL) and Department of Clinical Biochemistry, Royal Free Hospital Campus, UCL, London, UK
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State-of-the-Art Multimodality Imaging in Sudden Cardiac Arrest with Focus on Idiopathic Ventricular Fibrillation: A Review. J Clin Med 2022; 11:jcm11164680. [PMID: 36012918 PMCID: PMC9410297 DOI: 10.3390/jcm11164680] [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: 07/15/2022] [Revised: 08/01/2022] [Accepted: 08/05/2022] [Indexed: 11/16/2022] Open
Abstract
Idiopathic ventricular fibrillation is a rare cause of sudden cardiac arrest and a diagnosis by exclusion. Unraveling the mechanism of ventricular fibrillation is important for targeted management, and potentially for initiating family screening. Sudden cardiac arrest survivors undergo extensive clinical testing, with a growing role for multimodality imaging, before diagnosing “idiopathic” ventricular fibrillation. Multimodality imaging, considered as using multiple imaging modalities as diagnostics, is important for revealing structural myocardial abnormalities in patients with cardiac arrest. This review focuses on combining imaging modalities (echocardiography, cardiac magnetic resonance and computed tomography) and the electrocardiographic characterization of sudden cardiac arrest survivors and discusses the surplus value of multimodality imaging in the diagnostic routing of these patients. We focus on novel insights obtained through electrostructural and/or electromechanical imaging in apparently idiopathic ventricular fibrillation patients, with special attention to non-invasive electrocardiographic imaging.
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Sündermann SH, Hennemuth A, Kempfert J. Virtual reality in cardiac interventions-New tools or new toys? J Card Surg 2022; 37:2466-2468. [PMID: 35610730 DOI: 10.1111/jocs.16569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 04/18/2022] [Indexed: 11/30/2022]
Abstract
Improvementsin medical imaging and a steady increase in computing power are leading to new possibilities in the field of cardiovascular interventions. Interventions can be planned in advance in greater detail, even to the point of simulating procedures. Nevertheless, all techniques are at an early stage of development. It is of utmost importance that tools, especially if they can be used as decision support are intensively validated and their accuracy is demonstrated. In our commentary, we summarize current techniques for impprovements in planning and guiding of procedures, but also critically discuss the downsides of these techniques. Following the work of Kenichi and colleagues, we also discuss necessary steps in advancing new tools and techniques, particularly as they are used in routine clinical practice. We also discuss the role of artificial intelligence, which could play a crucial role in this context in the future.
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Affiliation(s)
- Simon H Sündermann
- Department of Cardiovascular Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Anja Hennemuth
- Insitute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jörg Kempfert
- Department of Cardiovascular Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
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