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Clement A, Muraru D, Fisicaro S, Penso M, Tomaselli M, Radu N, Delcea C, Buta AS, Rella V, Sascau R, Badano LP. Utility of the Ratio Between the Size of the Right Atrium and the Right Ventricle at End-Systole to Diagnose Atrial Secondary Tricuspid Regurgitation. J Am Soc Echocardiogr 2024:S0894-7317(24)00628-X. [PMID: 39667635 DOI: 10.1016/j.echo.2024.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 11/23/2024] [Accepted: 11/29/2024] [Indexed: 12/14/2024]
Abstract
BACKGROUND In the multiparametric framework for diagnosing atrial secondary tricuspid regurgitation (A-STR), an end-systolic (ES) right atrial (RA)-to-right ventricular (RV) volume or area ratio ≥1.5 supports the diagnosis of A-STR over the ventricular secondary tricuspid regurgitation phenotype (V-STR). However, this threshold value has never been tested. METHODS A single-center study was conducted, prospectively enrolling consecutive patients with secondary tricuspid regurgitation who underwent two- and three-dimensional echocardiography. RESULTS A total of 350 patients were enrolled (mean age, 75 ± 13 years; 65% women). Although patients with A-STR and V-STR presented similar degrees of secondary tricuspid regurgitation and comparable RA size, the ES RA/RV volume ratio was significantly larger in A-STR than in V-STR (1.75 [interquartile range, 1.35-2.45] vs 1.18 [interquartile range, 0.81-1.66], respectively; P < .001). On receiver operating characteristic analysis, the ES RA/RV volume ratio showed a significantly higher predictive power for A-STR (area under the curve [AUC], 0.73; 95% CI, 0.68-0.78) compared with RA maximum volume (AUC, 0.6; 95% CI, 0.54-0.66; P = .01), RA minimum volume (AUC, 0.59; 95% CI, 0.53-0.65; P = .007), and ratio of RA minimum volume to RV end-diastolic volume (AUC, 0.57; 95% CI, 0.51-0.63; P < .001). However, the predictive power of the ES RA/RV volume ratio (AUC, 0.73; 95% CI, 0.68-0.78) and the ES RA/RV area ratio (AUC, 0.76; 95% CI, 0.71-0.81) for the diagnosis of A-STR was similar (P = .58). The threshold value for ES RA/RV volume ratio that best distinguished between A-STR and V-STR was 1.40 (AUC, 0.68; 95% CI, 0.63-0.73), whereas for ES RA/RV area ratio, it was 1.6 (AUC, 0.64; 95% CI, 0.59-0.69). A multivariable model that included either ES RA/RV volume ratio or ES RA/RV area ratio, along with LV ejection fraction, RV ejection fraction, RV ES volume, and pulmonary artery systolic pressure, resulted in an AUC of 0.97 for differentiating between A-STR and V-STR. CONCLUSIONS ES RA/RV volume ratio ≥ 1.4 and ES RA/RV area ratio ≥ 1.6 support the diagnosis of A-STR over V-STR.
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Affiliation(s)
- Alexandra Clement
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy; Internal Medicine Department, "Grigore T. Popa," University of Medicine and Pharmacy, Iasi, Romania
| | - Denisa Muraru
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy; Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy.
| | - Samantha Fisicaro
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Marco Penso
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Michele Tomaselli
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Noela Radu
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Caterina Delcea
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy; Carol Davila "University of Medicine and Pharmacy", Bucharest, Romania
| | - Alexandra S Buta
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy; Carol Davila "University of Medicine and Pharmacy", Bucharest, Romania
| | - Valeria Rella
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Radu Sascau
- Internal Medicine Department, "Grigore T. Popa," University of Medicine and Pharmacy, Iasi, Romania
| | - Luigi P Badano
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy; Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy
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Melillo F, Fabiani D, Santoro A, Oro P, Frecentese F, Salemme L, Tesorio T, Agricola E, De Bonis M, Lorusso R. Multimodality Imaging for Right Ventricular Function Assessment in Severe Tricuspid Regurgitation. J Clin Med 2024; 13:5076. [PMID: 39274289 PMCID: PMC11395915 DOI: 10.3390/jcm13175076] [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: 07/24/2024] [Revised: 08/20/2024] [Accepted: 08/21/2024] [Indexed: 09/16/2024] Open
Abstract
Severe tricuspid regurgitation (TR) is a pathological condition associated with worse cardiovascular outcomes. In the vicious cycle of right ventricular compensation and maladaptation to TR, the development of right ventricle (RV) dysfunction has significant prognostic implications, especially in patients undergoing surgical or percutaneous treatments. Indeed, RV dysfunction is associated with increased operative morbidity and mortality in both surgical and percutaneously treated patients. In this context, the identification of clinical or subtle right ventricle dysfunction plays a critical role inpatient selection and timing of surgical or percutaneous tricuspid valve intervention. However, in the presence of severe TR, evaluation of RV function is challenging, given the increase in preload that may lead to an overestimation of systolic function for the Frank-Starling law, reduced reliability of pulmonary artery pressure estimation, the sensitivity of RV to afterload that may result in afterload mismatch after treatment. Consequently, conventional echocardiographic indices have some limitations, and the use of speckle tracking for right ventricular free wall longitudinal strain (RV-FWLS) analysis and the use of 3D echocardiography for RV volumes and ejection fraction estimation are showing promising data. Cardiac magnetic resonance (CMR) represents the gold standards for volumes and ejection fraction evaluation and may add further prognostic information. Finally, cardiac computer tomography (CCT) provides measurements of RV and annulus dimensions that are particularly useful in the transcatheter field. Identification of subtle RV dysfunction may need, therefore, more than one imaging technique, which will lead to tip the balance between medical therapy and early intervention towards the latter before disease progression. Therefore, the aim of this review is to describe the main imaging techniques, providing a comprehensive assessment of their role in RV function evaluation in the presence of severe TR.
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Affiliation(s)
- Francesco Melillo
- Heart and Vascular Centre, Cardiovascular Research Institute, University of Maastricht, 6221 Maastricht, The Netherlands
- Echo Lab, Clinica Montevergine GVM Care and Research, 83013 Mercogliano, Italy
| | - Dario Fabiani
- Echo Lab, Clinica Montevergine GVM Care and Research, 83013 Mercogliano, Italy
| | - Alessandro Santoro
- Intensive Care Unit, Clinica Montevergine GVM Care and Research, 83013 Mercogliano, Italy
| | - Pietro Oro
- Echo Lab, Clinica Montevergine GVM Care and Research, 83013 Mercogliano, Italy
| | | | - Luigi Salemme
- Interventional Cardiology Unit, Clinica Montevergine GVM Care and Research, 83013 Mercogliano, Italy
| | - Tullio Tesorio
- Interventional Cardiology Unit, Clinica Montevergine GVM Care and Research, 83013 Mercogliano, Italy
| | | | - Michele De Bonis
- Heart Valve Centre, IRCCS Ospdeale San Raffaele, 20132 Milan, Italy
| | - Roberto Lorusso
- Heart and Vascular Centre, Cardiovascular Research Institute, University of Maastricht, 6221 Maastricht, The Netherlands
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Qin Y, Qin X, Zhang J, Guo X. Artificial intelligence: The future for multimodality imaging of right ventricle. Int J Cardiol 2024; 404:131970. [PMID: 38490268 DOI: 10.1016/j.ijcard.2024.131970] [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: 11/26/2023] [Revised: 03/05/2024] [Accepted: 03/12/2024] [Indexed: 03/17/2024]
Abstract
The crucial pathophysiological and prognostic roles of the right ventricle in various diseases have been well-established. Nonetheless, conventional cardiovascular imaging modalities are frequently associated with intrinsic limitations when evaluating right ventricular (RV) morphology and function. The integration of artificial intelligence (AI) in multimodality imaging presents a promising avenue to circumvent these obstacles, paving the way for future fully automated imaging paradigms. This review aimed to address the current challenges faced by clinicians and researchers in integrating RV imaging and AI technology, to provide a comprehensive overview of the current applications of AI in RV imaging, and to offer insights into future directions, opportunities, and potential challenges in this rapidly advancing field.
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Affiliation(s)
- Yuhan Qin
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xiaohan Qin
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jing Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xiaoxiao Guo
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
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Ferraro AM, Harrild DM, Powell AJ, Levy PT, Marx GR. Evolving Role of Three-Dimensional Echocardiography for Right Ventricular Volume Analysis in Pediatric Heart Disease: Literature Review and Clinical Applications. J Am Soc Echocardiogr 2024; 37:634-640. [PMID: 38467312 DOI: 10.1016/j.echo.2024.03.001] [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: 10/19/2023] [Revised: 02/26/2024] [Accepted: 03/02/2024] [Indexed: 03/13/2024]
Abstract
Accurate knowledge of right ventricular (RV) volumes and ejection fraction is fundamental to providing optimal care for pediatric patients with congenital and acquired heart disease, as well as pulmonary hypertension. Traditionally, these volumes have been measured using cardiac magnetic resonance because of its accuracy, reproducibility, and freedom from geometric assumptions. More recently, an increasing number of studies have described the measurement of RV volumes using three-dimensional (3D) echocardiography. In addition, volumes by 3D echocardiography have also been used for outcome research studies in congenital heart surgery. Importantly, 3D echocardiographic acquisitions can be obtained over a small number of cardiac cycles, do not require general anesthesia, and are less costly than CMR. The ease and safety of the 3D echocardiographic acquisitions allow serial studies in the same patient. Moreover, the studies can be performed in various locations, including the intensive care unit, catheterization laboratory, and general clinic. Because of these advantages, 3D echocardiography is ideal for serial evaluation of the same patient. Despite these potential advantages, 3D echocardiography has not become a standard practice in children with congenital and acquired heart conditions. In this report, the authors review the literature on the feasibility, reproducibility, and accuracy of 3D echocardiography in pediatric patients. In addition, the authors investigate the advantages and limitations of 3D echocardiography in RV quantification and offer a pathway for its potential to become a standard practice in the assessment, planning, and follow-up of congenital and acquired heart disease.
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Affiliation(s)
- Alessandra M Ferraro
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts; PhD Program in Angio-Cardio-Thoracic Pathophysiology and Imaging, Sapienza University of Rome, Rome, Italy.
| | - David M Harrild
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Philip T Levy
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Gerald R Marx
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
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Kuwajima K, Ogawa M, Ruiz I, Hasegawa H, Yagi N, Rader F, Siegel RJ, Shiota T. Echocardiographic Characteristics of Left and Right Ventricular Longitudinal Function in Patients With a History of Cardiac Surgery. Am J Cardiol 2024; 211:72-78. [PMID: 37875236 DOI: 10.1016/j.amjcard.2023.10.045] [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: 06/07/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 10/26/2023]
Abstract
Previous studies have indicated a reduction in right ventricular (RV) longitudinal motion after cardiac surgery. However, the long-term effect of cardiac surgery on longitudinal motion and the involvement of left ventricular (LV) motion remains unclear. Therefore, this study aimed to comprehensively investigate the longitudinal function of the right ventricle and left ventricle in patients who underwent cardiac surgery. The study included patients who underwent comprehensive transthoracic echocardiography with 3-dimensional RV data sets. By propensity score matching of the clinical and echocardiographic variables, including LV and RV ejection fraction, the echocardiographic parameters were compared between patients with and without a history of cardiac surgery (the surgery and nonsurgery groups, respectively). In this study, the surgery group had significantly lower LV global longitudinal strain values than the nonsurgery group, despite having similar LV ejection fraction. The tricuspid annular plane systolic excursion (TAPSE), tricuspid annular velocity, and RV free wall longitudinal strain were also significantly smaller in the surgery group, whereas the RV ejection fraction was comparable between the 2 groups. In addition, a subgroup analysis based on the time from previous surgery to transthoracic echocardiography (≤1 and >1 year) revealed that TAPSE was reduced in both postoperative phases. In conclusion, LV and RV longitudinal parameters were reduced after cardiac surgery, despite preserved LV and RV global functions. Moreover, TAPSE was reduced even after a long time after cardiac surgery. These findings emphasize the need for careful interpretation of biventricular longitudinal motion in patients with a history of cardiac surgery.
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Affiliation(s)
- Ken Kuwajima
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Mana Ogawa
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Irving Ruiz
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Hiroko Hasegawa
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Nobuichiro Yagi
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Florian Rader
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Robert J Siegel
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Takahiro Shiota
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
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Agarwal V, Hahn R. Tricuspid Regurgitation and Right Heart Failure: The Role of Imaging in Defining Pathophysiology, Presentation, and Novel Management Strategies. Interv Cardiol Clin 2024; 13:81-99. [PMID: 37980069 DOI: 10.1016/j.iccl.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
During the last few years, there has been a substantial shift in efforts to understand and manage secondary or functional tricuspid regurgitation (TR) given its prevalence, adverse prognostic impact, and symptom burden associated with progressive right heart failure. Understanding the pathophysiology of TR and right heart failure is crucial for determining the best treatment strategy and improving outcomes. In this article, we review the complex relationship between right heart structural and hemodynamic changes that drive the pathophysiology of secondary TR and discuss the role of multimodality imaging in the diagnosis, management, and determination of outcomes.
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Affiliation(s)
- Vratika Agarwal
- Division of Cardiology, Department of Medicine, Columbia University Medical Center/ New York Presbyterian Hospital, 177 Fort Washington Avenue, Room 5C-501, New York, NY 10032, USA.
| | - Rebecca Hahn
- Division of Cardiology, Department of Medicine, Columbia University Medical Center/ New York Presbyterian Hospital, 177 Fort Washington Avenue, Room 5C-501, New York, NY 10032, USA
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7
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Kuwajima K, Ogawa M, Ruiz I, Yamane T, Hasegawa H, Yagi N, Rader F, Siegel RJ, Shiota T. Comparison of prognostic value among echocardiographic surrogates of right ventricular-pulmonary arterial coupling: A three-dimensional echocardiographic study. Echocardiography 2024; 41:e15717. [PMID: 37990989 DOI: 10.1111/echo.15717] [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: 05/03/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 11/23/2023] Open
Abstract
OBJECTIVES Right ventricular (RV)-pulmonary arterial (PA) coupling is important in various cardiac diseases. Recently, several echocardiographic surrogates for RV-PA coupling have been proposed and reported to be useful in predicting outcomes. However, it remains unclear which surrogate is the most clinically relevant. This study aimed to comprehensively compare the prognostic value of different echocardiographic RV-PA coupling surrogates. METHODS We retrospectively reviewed 242 patients with various cardiac conditions who underwent comprehensive transthoracic echocardiography with three-dimensional RV data. In addition to conventional parameters including tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), and PA systolic pressure (PASP), we analyzed RV free wall and global longitudinal strain (FWLS and GLS). We also obtained RV ejection fraction (RVEF), stroke volume (SV), and end-systolic volume (ESV) using three-dimensional RV analysis. RV-PA coupling surrogates were calculated as TAPSE/PASP, FAC/PASP, FWLS/PASP, GLS/PASP, RVEF/PASP, and SV/ESV. The study endpoint was a composite outcome of all-cause death or cardiovascular hospitalization within 1 year. RESULTS In multivariable analysis, all the RV-PA coupling surrogates were independent predictors of the outcome. Among the surrogates, the model with TAPSE/PASP showed the lowest prognostic value in model fit and discrimination ability, whereas the model with RVEF/PASP exhibited the highest prognostic value. The partial likelihood ratio test indicated that the model with RVEF/PASP was significantly better than the model with TAPSE/PASP (p < .024). CONCLUSION All the RV-PA coupling surrogates were independent predictors of the outcome. Notably, RVEF/PASP had the highest prognostic value among the surrogates.
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Affiliation(s)
- Ken Kuwajima
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Mana Ogawa
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Irving Ruiz
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Takafumi Yamane
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Hiroko Hasegawa
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Nobuichiro Yagi
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Florian Rader
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Robert J Siegel
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Takahiro Shiota
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
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Randazzo M, Maffessanti F, Kotta A, Grapsa J, Lang RM, Addetia K. Added value of 3D echocardiography in the diagnosis and prognostication of patients with right ventricular dysfunction. Front Cardiovasc Med 2023; 10:1263864. [PMID: 38179507 PMCID: PMC10764503 DOI: 10.3389/fcvm.2023.1263864] [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: 07/20/2023] [Accepted: 11/22/2023] [Indexed: 01/06/2024] Open
Abstract
Recent inroads into percutaneous-based options for the treatment of tricuspid valve disease has brought to light how little we know about the behavior of the right ventricle in both health and disease and how incomplete our assessment of right ventricular (RV) physiology and function is using current non-invasive technology, in particular echocardiography. The purpose of this review is to provide an overview of what three-dimensional echocardiography (3DE) can offer currently to enhance RV evaluation and what the future may hold if we continue to improve the 3D evaluation of the right heart.
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Affiliation(s)
- Michael Randazzo
- Department of Medicine, Section of Cardiology, University of Chicago Heart and Vascular Center, Chicago, IL, United States
| | | | - Alekhya Kotta
- Department of Internal Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Julia Grapsa
- Department of Cardiology, Guys and St Thomas NHS Trust, London, United Kingdom
| | - Roberto M. Lang
- Department of Medicine, Section of Cardiology, University of Chicago Heart and Vascular Center, Chicago, IL, United States
| | - Karima Addetia
- Department of Medicine, Section of Cardiology, University of Chicago Heart and Vascular Center, Chicago, IL, United States
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O'Donnell C, Sanchez PA, Celestin B, McConnell MV, Haddad F. The Echocardiographic Evaluation of the Right Heart: Current and Future Advances. Curr Cardiol Rep 2023; 25:1883-1896. [PMID: 38041726 DOI: 10.1007/s11886-023-02001-6] [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] [Accepted: 11/17/2023] [Indexed: 12/03/2023]
Abstract
PURPOSE OF REVIEW To discuss physiologic and methodologic advances in the echocardiographic assessment of right heart (RH) function, including the emergence of artificial intelligence (AI) and point-of-care ultrasound. RECENT FINDINGS Recent studies have highlighted the prognostic value of right ventricular (RV) longitudinal strain, RV end-systolic dimensions, and right atrial (RA) size and function in pulmonary hypertension and heart failure. While RA pressure is a central marker of right heart diastolic function, the recent emphasis on venous excess imaging (VExUS) has provided granularity to the systemic consequences of RH failure. Several methodological advances are also changing the landscape of RH imaging including post-processing 3D software to delineate the non-longitudinal (radial, anteroposterior, and circumferential) components of RV function, as well as AI segmentation- and non-segmentation-based quantification. Together with recent guidelines and advances in AI technology, the field is shifting from specific RV functional metrics to integrated RH disease-specific phenotypes. A modern echocardiographic evaluation of RH function should focus on the entire cardiopulmonary venous unit-from the venous to the pulmonary arterial system. Together, a multi-parametric approach, guided by physiology and AI algorithms, will help define novel integrated RH profiles for improved disease detection and monitoring.
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Affiliation(s)
- Christian O'Donnell
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Pablo Amador Sanchez
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Bettia Celestin
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
- Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael V McConnell
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Francois Haddad
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
- Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford University School of Medicine, Stanford, CA, USA
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10
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Agarwal V, Hahn R. Tricuspid Regurgitation and Right Heart Failure: The Role of Imaging in Defining Pathophysiology, Presentation, and Novel Management Strategies. Heart Fail Clin 2023; 19:505-523. [PMID: 37714590 DOI: 10.1016/j.hfc.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
During the last few years, there has been a substantial shift in efforts to understand and manage secondary or functional tricuspid regurgitation (TR) given its prevalence, adverse prognostic impact, and symptom burden associated with progressive right heart failure. Understanding the pathophysiology of TR and right heart failure is crucial for determining the best treatment strategy and improving outcomes. In this article, we review the complex relationship between right heart structural and hemodynamic changes that drive the pathophysiology of secondary TR and discuss the role of multimodality imaging in the diagnosis, management, and determination of outcomes.
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Affiliation(s)
- Vratika Agarwal
- Division of Cardiology, Department of Medicine, Columbia University Medical Center/ New York Presbyterian Hospital, 177 Fort Washington Avenue, Room 5C-501, New York, NY 10032, USA.
| | - Rebecca Hahn
- Division of Cardiology, Department of Medicine, Columbia University Medical Center/ New York Presbyterian Hospital, 177 Fort Washington Avenue, Room 5C-501, New York, NY 10032, USA
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11
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Al Ateah G, Kirschfink A, Frick M, Almalla M, Becker M, Cornelissen C, Hoffmann R, Marx N, Altiok E. Echocardiographic determination of right ventricular volumes and ejection fraction: Validation of a truncated cone and rhomboid pyramid formula. PLoS One 2023; 18:e0290418. [PMID: 37594956 PMCID: PMC10437865 DOI: 10.1371/journal.pone.0290418] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/07/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND Echocardiographic assessment of right ventricular (RV) measurements may be challenging. The aim of this study was to develop a formula for calculation of RV volumes and function based on measurements of linear dimensions by 2-dimensional (2D) transthoracic echocardiography (TTE) in comparison to cardiovascular magnetic resonance (CMR). METHODS 129 consecutive patients with standard TTE and RV analysis by CMR were included. A formula based on the geometric assumptions of a truncated cone minus a truncated rhomboid pyramid was developed for calculations of RV end-diastolic volume (EDV) and RV end-systolic volume (ESV) by using the basal diameter of the RV (Dd and Ds) and the baso-apical length (Ld and Ls) in apical 4-chamber TTE views: RV EDV = 1.21 * Dd2 * Ld, and RV ESV = 1.21 * Ds2 * Ls. RESULTS Calculations of RV EDV (ΔRV EDV = 10.2±26.4 ml to CMR, r = 0.889), RV ESV (ΔRV ESV = 4.5±18.4 ml to CMR, r = 0.921) and RV EF (ΔRV EF = 0.5±4.0% to CMR, r = 0.905) with the cone-pyramid formula (CPF) highly agreed with CMR. Impaired RV function on CMR (n = 52) was identified with a trend to higher accuracy by CPF than by conventional echocardiographic parameters (tricuspid annular plane systolic excursion (TAPSE) and fractional area change (FAC)). CONCLUSION Calculations of RV volumes and RV function by 2D TTE with the newly developed CPF were in high concordance to measurements by CMR. Accuracy for detection of patients with reduced RV function were higher by the proposed 2D TTE CPF method than by conventional echocardiographic parameters of TAPSE and RV FAC.
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Affiliation(s)
- Ghazi Al Ateah
- Department of Cardiology, Nephrology and Internal Intensive Care Medicine, Rhein-Maas Klinikum, Wuerselen, Germany
| | - Annemarie Kirschfink
- Department of Cardiology, Angiology and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany
| | - Michael Frick
- Department of Cardiology, Angiology and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany
| | - Mohammad Almalla
- Department of Cardiology, Angiology and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany
| | - Michael Becker
- Department of Cardiology, Nephrology and Internal Intensive Care Medicine, Rhein-Maas Klinikum, Wuerselen, Germany
| | - Christian Cornelissen
- Department of Pneumology and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany
| | - Rainer Hoffmann
- Department of Cardiology, St. Bonifatius Hospital, Lingen, Germany
| | - Nikolaus Marx
- Department of Cardiology, Angiology and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany
| | - Ertunc Altiok
- Department of Cardiology, Angiology and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany
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12
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Hahn RT, Lerakis S, Delgado V, Addetia K, Burkhoff D, Muraru D, Pinney S, Friedberg MK. Multimodality Imaging of Right Heart Function: JACC Scientific Statement. J Am Coll Cardiol 2023; 81:1954-1973. [PMID: 37164529 DOI: 10.1016/j.jacc.2023.03.392] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 05/12/2023]
Abstract
Right ventricular (RV) size and function assessed by multimodality imaging are associated with outcomes in a variety of cardiovascular diseases. Understanding RV anatomy and physiology is essential in appreciating the strengths and weaknesses of current imaging methods and gives these measurements greater context. The adaptation of the right ventricle to different types and severity of stress, particularly over time, is specific to the cardiovascular disease process. Multimodality imaging parameters, which determine outcomes, reflect the ability to image the initial and longitudinal RV response to stress. This paper will review the standard and novel imaging methods for assessing RV function and the impact of these parameters on outcomes in specific disease states.
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Affiliation(s)
- Rebecca T Hahn
- Department of Medicine, Columbia University Medical Center/NewYork-Presbyterian Hospital, New York, New York, USA.
| | | | - Victoria Delgado
- Hospital University Germans Trias i Pujol Hospital, Badalona, Barcelona, Spain
| | - Karima Addetia
- Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | | | - Denisa Muraru
- Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy; Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Sean Pinney
- Department of Medicine, University of Chicago, Chicago, Illinois, USA
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13
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Penso M, Ranalletta RA, Pepi M, Garlaschè A, Ali SG, Fusini L, Mantegazza V, Muratori M, Maragna R, Tamborini G. Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension. J Clin Med 2022; 11:jcm11154528. [PMID: 35956143 PMCID: PMC9369664 DOI: 10.3390/jcm11154528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 12/04/2022] Open
Abstract
Background: The right ventricle (RV) plays a pivotal role in cardiovascular diseases and 3-dimensional echocardiography (3DE) has gained acceptance for the evaluation of RV volumes and function. Recently, a new artificial intelligence (AI)–based automated 3DE software for RV evaluation has been proposed and validated against cardiac magnetic resonance. The aims of this study were three-fold: (i) feasibility of the AI-based 3DE RV quantification, (ii) comparison with the semi-automatic 3DE method and (iii) assessment of 2-dimensional echocardiography (2DE) and strain measurements obtained automatically. Methods: A total of 203 subject (122 normal and 81 patients) underwent a 2DE and both the semi-automatic and automatic 3DE methods for Doppler standard, RV volumes and ejection fraction (RVEF) measurements. Results: The automatic 3DE method was highly feasible, faster than 2DE and semi-automatic 3DE and data obtained were comparable with traditional measurements. Both in normal subjects and patients, the RVEF was similar to the two 3DE methods and 2DE and strain measurements obtained by the automated system correlated very well with the standard 2DE and strain ones. Conclusions: results showed that rapid analysis and excellent reproducibility of AI-based 3DE RV analysis supported the routine adoption of this automated method in the daily clinical workflow.
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Affiliation(s)
- Marco Penso
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133 Milan, Italy
- Correspondence: ; Tel.: +39-3926930900
| | - Remo Antonio Ranalletta
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
| | - Mauro Pepi
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
| | - Anna Garlaschè
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
| | - Sarah Ghulam Ali
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
| | - Laura Fusini
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133 Milan, Italy
| | - Valentina Mantegazza
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
| | - Manuela Muratori
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
| | - Riccardo Maragna
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
| | - Gloria Tamborini
- Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (R.A.R.); (M.P.); (A.G.); (S.G.A.); (L.F.); (V.M.); (M.M.); (R.M.); (G.T.)
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14
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Ahmad A, Li H, Zhang Y, Liu J, Gao Y, Qian M, Lin Y, Yi L, Zhang L, Li Y, Xie M. Three-Dimensional Echocardiography Assessment of Right Ventricular Volumes and Function: Technological Perspective and Clinical Application. Diagnostics (Basel) 2022; 12:806. [PMID: 35453854 PMCID: PMC9031180 DOI: 10.3390/diagnostics12040806] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/12/2022] [Accepted: 03/15/2022] [Indexed: 12/10/2022] Open
Abstract
Right ventricular (RV) function has important prognostic value in a variety of cardiovascular diseases. Due to complex anatomy and mode of contractility, conventional two-dimensional echocardiography does not provide sufficient and accurate RV function assessment. Currently, three-dimensional echocardiography (3DE) allows for an excellent and reproducible assessment of RV function owing to overcoming these limitations of traditional echocardiography. This review focused on 3DE and discussed the following points: (i) acquisition of RV dataset for 3DE images, (ii) reliability, feasibility, and reproducibility of RV volumes and function measured by 3DE with different modalities, (iii) the clinical application of 3DE for RV function quantification.
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Affiliation(s)
- Ashfaq Ahmad
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - He Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yanting Zhang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Juanjuan Liu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Ying Gao
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Mingzhu Qian
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yixia Lin
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Luyang Yi
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Li Zhang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
- Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518057, China
| | - Yuman Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (A.A.); (H.L.); (Y.Z.); (J.L.); (Y.G.); (M.Q.); (Y.L.); (L.Y.); (L.Z.)
- Clinical Research Center for Medical Imaging in Hubei Province, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
- Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518057, China
- Tongji Medical College and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430022, China
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15
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Kitano T, Kovács A, Nabeshima Y, Tokodi M, Fábián A, Lakatos BK, Takeuchi M. Prognostic Value of Right Ventricular Strains Using Novel Three-Dimensional Analytical Software in Patients With Cardiac Disease. Front Cardiovasc Med 2022; 9:837584. [PMID: 35282348 PMCID: PMC8914046 DOI: 10.3389/fcvm.2022.837584] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/03/2022] [Indexed: 11/13/2022] Open
Abstract
Background Right ventricular (RV) three-dimensional (3D) strains can be measured using novel 3D RV analytical software (ReVISION). Our objective was to investigate the prognostic value of RV 3D strains. Methods We retrospectively selected patients who underwent both 3D echocardiography (3DE) and cardiac magnetic resonance from January 2014 to October 2020. 3DE datasets were analyzed with 3D speckle tracking software and the ReVISION software. The primary end point was a composite of cardiac events, including cardiac death, heart failure hospitalization, or ventricular tachyarrhythmia. Results 341 patients were included in this analysis. During a median of 20 months of follow-up, 49 patients reached a composite of cardiac events. In univariate analysis, 3D RV ejection fraction (RVEF) and three 3D strain values [RV global circumferential strain (3D RVGCS), RV global longitudinal strain (3D RVGLS), and RV global area strain (3D RVGAS)] were significantly associated with cardiac death, ventricular tachyarrhythmia, or heart failure hospitalization (Hazard ratio: 0.88 to 0.93, p < 0.05). Multivariate analysis revealed that 3D RVEF, three 3D strain values were significantly associated with cardiac events after adjusting for age, chronic kidney disease, and left ventricular systolic/diastolic parameters. Kaplan-Meier survival curves showed that 3D RVEF of 45% and median values of 3D RVGCS, 3D RVGLS, and 3D RVGAS stratified a higher risk for survival rates. Classification and regression tree analysis, including 22 clinical and echocardiographic parameters, selected 3D RVEF (cut-off value: 34.5%) first, followed by diastolic blood pressure (cut-off value: 53 mmHg) and 3D RVGAS (cut-off value: 32.4%) for stratifying two high-risk group, one intermediate-risk group, and one low-risk group. Conclusions RV 3D strain had an equivalent prognostic value compared with 3D RVEF. Combining these parameters with 3D RVEF may allow more detailed stratification of patient's prognosis in a wide array of cardiac diseases.
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Affiliation(s)
- Tetsuji Kitano
- Department of Cardiology and Nephrology, Wakamatsu Hospital of the University of Occupational and Environmental Health, Kitakyushu, Japan
- *Correspondence: Tetsuji Kitano
| | - Attila Kovács
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Yosuke Nabeshima
- Second Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Márton Tokodi
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Alexandra Fábián
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | - Masaaki Takeuchi
- Department of Laboratory and Transfusion Medicine, University of Occupational and Environmental Health Hospital, Kitakyushu, Japan
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16
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Shen Y, Zhang H, Zhang Q, Zhang B, Ni Y, Zhao R, Hsi DH, Cheng L. Right Ventricular Ejection Fraction Assessed by Three-Dimensional Echocardiography Is Associated with Long-term Adverse Clinical Cardiac Events in Patients with Anthracycline Induced Cardiotoxicity. J Am Soc Echocardiogr 2022; 35:600-608.e3. [DOI: 10.1016/j.echo.2022.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 01/03/2022] [Accepted: 01/19/2022] [Indexed: 10/19/2022]
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17
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Feasibility, Reproducibility, and Prognostic Value of Fully Automated Measurement of Right Ventricular Longitudinal Strain. J Am Soc Echocardiogr 2022; 35:609-619. [DOI: 10.1016/j.echo.2022.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 01/25/2022] [Accepted: 01/26/2022] [Indexed: 11/20/2022]
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18
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Smer A, Urja P, Anugula D, Dulal S, Elmarzouky ZM, Gill E, Nanda NC. Three-dimensional echocardiographic assessment of the aortic valve and the aorta. Echocardiography 2022; 39:1011-1027. [PMID: 35088455 DOI: 10.1111/echo.15214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 07/31/2021] [Accepted: 09/03/2021] [Indexed: 11/28/2022] Open
Abstract
We describe the role of three-dimensional echocardiography in the assessment of the aortic valve and the aorta. The manuscript is heavily illustrated with figures and movie clips.
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Affiliation(s)
- Aiman Smer
- CHI-Health-Creighton University School of Medicine, Omaha, Nebraska
| | - Prakrity Urja
- CHI-Health-Creighton University School of Medicine, Omaha, Nebraska
| | - Dixitha Anugula
- CHI-Health-Creighton University School of Medicine, Omaha, Nebraska
| | - Subash Dulal
- Division of Cardiology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Zeyad M Elmarzouky
- Division of Cardiology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Edward Gill
- Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Navin C Nanda
- Division of Cardiology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
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19
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Zhu Y, Bao Y, Zheng K, Zhou W, Zhang J, Sun R, Deng Y, Xia L, Liu Y. Quantitative assessment of right ventricular size and function with multiple parameters from artificial intelligence-based three-dimensional echocardiography: A comparative study with cardiac magnetic resonance. Echocardiography 2022; 39:223-232. [PMID: 35034377 DOI: 10.1111/echo.15292] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 12/11/2021] [Accepted: 12/26/2021] [Indexed: 01/25/2023] Open
Abstract
AIMS This study aimed to explore the validation and the diagnostic value of multiple right ventricle (RV) volumes and functional parameters derived from a novel artificial intelligence (AI)-based three-dimensional echocardiography (3DE) algorithm compared to cardiac magnetic resonance (CMR). METHODS AND RESULTS A total of 51 patients with a broad spectrum of clinical diagnoses were finally included in this study. AI-based RV 3DE was performed in a single-beat HeartModel mode within 24 hours after CMR. In the entire population, RV volumes and right ventricular ejection fraction (RVEF) measured by AI-based 3DE showed statistically significant correlations with the corresponding CMR analysis (p < 0.05 for all). However, the Bland-Altman plots indicated that these parameters were slightly underestimated by AI-based 3DE. Based on CMR derived RVEF < 45% as RV dysfunction, end-systolic volume (ESV), end-systolic volume index (ESVi), stroke volume (SV), and RVEF showed great diagnostic performance in identifying RV dysfunction, as well as some non-volumetric parameters, including tricuspid annular systolic excursion (TAPSE), fractional area change (FAC), and free-wall longitudinal strains (LS) (p < 0.05 for all). The cutoff value was 43% for RVEF with a sensitivity of 94% and specificity of 67%. CONCLUSION AI-based 3DE could provide rapid and accurate quantitation of the RV volumes and function with multiple parameters. Both volumetric and non-volumetric measurements derived from AI-based 3DE contributed to the identification of the RV dysfunction.
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Affiliation(s)
- Ying Zhu
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuwei Bao
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kangchao Zheng
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Zhou
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Zhang
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruiying Sun
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Youbin Deng
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yani Liu
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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20
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Ahmad A, Li H, Wan X, Zhong Y, Zhang Y, Liu J, Gao Y, Qian M, Lin Y, Yi L, Zhang L, Li Y, Xie M. Feasibility and Accuracy of a Fully Automated Right Ventricular Quantification Software With Three-Dimensional Echocardiography: Comparison With Cardiac Magnetic Resonance. Front Cardiovasc Med 2021; 8:732893. [PMID: 34746251 PMCID: PMC8566539 DOI: 10.3389/fcvm.2021.732893] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/10/2021] [Indexed: 11/22/2022] Open
Abstract
Background: A novel, fully automated right ventricular (RV) software for three-dimensional quantification of RV volumes and function was developed. The direct comparison of the software performance with cardiac magnetic resonance (CMR) was limited. Therefore, the aim of this study was to test the feasibility, accuracy, and reproducibility of a fully automated RV quantification software against CMR imaging as a reference. Methods: A total of 170 patients who underwent both CMR and three-dimensional echocardiography were enrolled. RV end-diastolic volume (RVEDV), RV end-systolic volume (RVESV), and RV ejection fraction (RVEF) were obtained using fully automated three-dimensional RV quantification software and compared with a CMR reference. For inter-technical agreement, Spearman correlation and Bland–Altman analysis were used. Results: The fully automated RV quantification software was feasible in 149 patients. RVEDV and RVESV were underestimated, and RVEF was overestimated compared with CMR values. RV measurements obtained from the manual editing method correlated better with CMR values than that without manual editing (RVEDV, 0.924 vs. 0.794: RVESV, 0.955 vs. 0.854; RVEF, 0.941 vs. 0.781 respectively, all p < 0.0001) with less bias and narrower limit of agreement (LOA). The bias and LOA for RV volumes and EF using the automated software without and with manual editing were greater in patients with severely impaired RV function or low frame rate than those with normal and mild impaired RV function, or high frame rate. The fully automated RV three-dimensional measurements were highly reproducible. Conclusion: The novel fully automated RV software shows good feasibility and reproducibility, and the measurements had a high correlation with CMR values. These findings support the routine application of the novel 3D automated RV software in clinical practice.
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Affiliation(s)
- Ashfaq Ahmad
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - He Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xiaojing Wan
- Department of Ultrasound, The First Affiliated Hospital of SooChow University, Suzhou, China
| | - Yi Zhong
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yanting Zhang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Juanjuan Liu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Ying Gao
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Mingzhu Qian
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yixia Lin
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Luyang Yi
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Li Zhang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China
| | - Yuman Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Tongji Medical College and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
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