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Pezeshki PS, Ghorashi SM, Houshmand G, Ganjparvar M, Pouraliakbar H, Rezaei-Kalantari K, Fazeli A, Omidi N. Feature tracking cardiac magnetic resonance imaging to assess cardiac manifestations of systemic diseases. Heart Fail Rev 2023:10.1007/s10741-023-10321-6. [PMID: 37191926 PMCID: PMC10185959 DOI: 10.1007/s10741-023-10321-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/07/2023] [Indexed: 05/17/2023]
Abstract
Feature-tracking cardiac magnetic resonance (FT-CMR), with the ability to quantify myocardial deformation, has a unique role in the evaluation of subclinical myocardial abnormalities. This review aimed to evaluate the clinical use of cardiac FT-CMR-based myocardial strain in patients with various systemic diseases with cardiac involvement, such as hypertension, diabetes, cancer-therapy-related toxicities, amyloidosis, systemic scleroderma, myopathies, rheumatoid arthritis, thalassemia major, and coronavirus disease 2019 (COVID-19). We concluded that FT-CMR-derived strain can improve the accuracy of risk stratification and predict cardiac outcomes in patients with systemic diseases prior to symptomatic cardiac dysfunction. Furthermore, FT-CMR is particularly useful for patients with diseases or conditions which are associated with subtle myocardial dysfunction that may not be accurately detected with traditional methods. Compared to patients with cardiovascular diseases, patients with systemic diseases are less likely to undergo regular cardiovascular imaging to detect cardiac defects, whereas cardiac involvement in these patients can lead to major adverse outcomes; hence, the importance of cardiac imaging modalities might be underestimated in this group of patients. In this review, we gathered currently available data on the newly introduced role of FT-CMR in the diagnosis and prognosis of various systemic conditions. Further research is needed to define reference values and establish the role of this sensitive imaging modality, as a robust marker in predicting outcomes across a wide spectrum of patients.
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Affiliation(s)
| | - Seyyed Mojtaba Ghorashi
- Cardiovascular Disease Research Institute, Tehran Heart Center, Tehran University of Medical Science, Tehran, Iran
| | - Golnaz Houshmand
- Cardiovascular Imaging Ward, Rajaei Heart Center, Iran University of Medicals Sciences, Tehran, Iran
| | - Mojdeh Ganjparvar
- Tehran Heart Center, Cardiovascular Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Pouraliakbar
- Shaheed Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Kiara Rezaei-Kalantari
- Shaheed Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Amir Fazeli
- Cardiovascular Disease Research Institute, Tehran Heart Center, Tehran University of Medical Science, Tehran, Iran
| | - Negar Omidi
- Cardiac Primary Prevention Research Center, Cardiovascular Disease Research Institute, Tehran University of Medical Sciences, Kargar St. Jalal Al-Ahmad Cross, 1411713138, Tehran, Iran.
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Martínez-Vives P, Cecconi A, Vera A, Fernández C, López-Melgar B, Sanz-García A, Rojas-González A, Nogales-Romo MT, Hernandez Muñiz S, Olivera MJ, Caballero P, Jiménez-Borreguero LJ, Alfonso F. Usefulness of Tissue Tracking by Cardiac Magnetic Resonance to Predict Events in Patients With Hypertrophic Cardiomyopathy. Am J Cardiol 2022; 174:126-135. [PMID: 35525624 DOI: 10.1016/j.amjcard.2022.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/01/2022]
Abstract
Hypertrophic cardiomyopathy (HC) is the most common cardiovascular inherited disease, and it is associated with arrhythmic events, heart failure, and death. Strain analysis by tissue tracking (TT) techniques on cardiac magnetic resonance (CMR) is a novel noninvasive diagnostic tool. However, the usefulness of CMR-TT to identify patients with HC at risk of adverse outcomes remains unknown. CMR strain parameters by CMR-TT were prospectively measured in a cohort of 136 consecutive patients with HC. Clinical (death or readmission for heart failure) and arrhythmic (any ventricular tachycardia) events during follow-up were prospectively recorded. Global radial systolic strain rate and global radial diastolic strain rate showed the best area under the receiver operating characteristic curve (ROC curve) to predict adverse clinical events. On Cox multivariate regression models, a global radial systolic strain rate value <1.4/s and a global radial diastolic strain rate value ≥ -1.38/s were independently associated with clinical events at follow-up (adjusted hazard ratio 6.57, 95% confidence interval [CI] 2.01 to 21.49, p = 0.002; adjusted hazard ratio 5.96, 95% CI 1.79 to 19.89, p = 0.004, respectively). Regarding arrhythmic events, global radial peak strain <27% showed the best area under the ROC curve and remained independently associated with ventricular tachycardia after adjustment for confounders (odds ratio 7.33, 95% CI 1.07 to 50.41, p = 0.043). CMR strain parameters by TT predict clinical and arrhythmic events in patients with HC.
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Distinguishing Cardiac Amyloidosis and Hypertrophic Cardiomyopathy by Thickness and Myocardial Deformation of the Right Ventricle. Cardiol Res Pract 2022; 2022:4364279. [PMID: 35154823 PMCID: PMC8825671 DOI: 10.1155/2022/4364279] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 02/05/2023] Open
Abstract
Objectives To compare right ventricular thickness (RVT) and deformation of cardiac amyloidosis (CA) and hypertrophic cardiomyopathy (HCM) patients. Methods Sixty CA (mean age 58 ± 10 years; 33 males (55%)) and sixty HCM patients (mean age 55 ± 14 years; 27 males (45%)) were retrospectively enrolled. RVT, global radical peak strain (GRPS), global longitudinal peak strain (GLPS), and global circumferential peak stain (GCPS) were analyzed. To determine the cutoff values of the RVT and RV strain parameters for distinguishing CA from HCM, the areas under the receiver operating characteristic curve (AUCs) were analyzed. Results RVT of CA patients was significantly thicker than that of HCM patients (7.8 ± 2.1 vs 5.9 ± 1.3, p < 0.001). Moreover, significantly decreased RV-GRPS (12.1 ± 6.9 vs 23.5 ± 12.1, p < 0.001), RV-GCPS (−3.4 ± 2.2 vs −5.6 ± 3.5, p < 0.001), and RV-GLPS (−4.6 ± 2.3 vs −11.1 ± 4.9, p < 0.001) were observed in CA patients compared with HCM patients. RVT and RV strain demonstrate comparable diagnostic accuracy in differentiating CA from HCM. In particular, RV-GLPS combined with RVT showed the best performance for discriminating CA from HCM (AUC = 0.92, 95% CI: 0.85 to 0.96, p = 0.0001). Conclusions Right ventricular myocardial thickness and deformation of CA patients was more severe than HCM patients. RV-GLPS combined with RVT presents an excellent diagnostic performance in distinguishing CA and HCM.
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Palumbo P, Masedu F, De Cataldo C, Cannizzaro E, Bruno F, Pradella S, Arrigoni F, Valenti M, Splendiani A, Barile A, Giovagnoni A, Masciocchi C, Di Cesare E. Real-world clinical validity of cardiac magnetic resonance tissue tracking in primitive hypertrophic cardiomyopathy. Radiol Med 2021; 126:1532-1543. [PMID: 34894317 DOI: 10.1007/s11547-021-01432-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 11/15/2021] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Cardiac magnetic resonance (CMR) is an uncontested diagnostic tool for identifying and assessing hypertrophic cardiomyopathy (HCM) patients. Concerning the necessity to identify valid prognosticators for predicting the individual risk of clinical evolution, this study aimed to evaluate the clinical validity of CMR tissue tracking (TT) analysis in patients affected by primitive HCM in a real-world setting. METHODS This historical prospective study included 33 patients. Diagnostic validity and clinical validation were assessed for strain values. CMR-TT diagnostic validity was studied comparing HCM patients with healthy control groups and phenotypic presentation of HCM. The impact of strain values and all phenotypic disease characteristics were assessed in a long-term follow-up study. RESULTS The inter-reading agreement was good for all strain parameters. Significant differences were observed between the control group and HCM patients. Similarly, hypertrophic and LGE + segments showed lower deformability than healthy segments. The AUC of predictive model, including conventional risk factors for MACE occurrence and all strain values, reached 98% of diagnostic concordance (95% CI .94-1; standard error: .02; p value .0001), compared to conventional risk factors only (86%; 95% CI .73-99; standard error: .07; p value .002). CONCLUSION In patients with primitive HCM, CMR-TT strain proves high clinical validity providing independent and non-negligible prognostic advantages over clinical features and traditional CMR markers.
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Affiliation(s)
- Pierpaolo Palumbo
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Via Saragat, Località Campo di Pile, 67100, L'Aquila, Italy.
- SIRM Foundation, Italian Society of Medical and Interventional Radiology (SIRM), 20122, Milan, Italy.
| | - Francesco Masedu
- Department of Applied Clinical Science and Biotechnology, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Camilla De Cataldo
- Radiology Unit, San Salvatore Hospital of L'Aquila, Via Lorenzo Natali 1, 67100, L'Aquila, Italy
| | - Ester Cannizzaro
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Via Saragat, Località Campo di Pile, 67100, L'Aquila, Italy
| | - Federico Bruno
- SIRM Foundation, Italian Society of Medical and Interventional Radiology (SIRM), 20122, Milan, Italy
- Department of Applied Clinical Science and Biotechnology, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Silvia Pradella
- SIRM Foundation, Italian Society of Medical and Interventional Radiology (SIRM), 20122, Milan, Italy
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Francesco Arrigoni
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Via Saragat, Località Campo di Pile, 67100, L'Aquila, Italy
| | - Marco Valenti
- Department of Applied Clinical Science and Biotechnology, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Alessandra Splendiani
- Department of Applied Clinical Science and Biotechnology, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Antonio Barile
- Department of Applied Clinical Science and Biotechnology, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Andrea Giovagnoni
- Department of Radiology, Azienda Ospedaliero-Universitaria, Ospedale Riuniti Di Ancona, Via Conca 71, 60126, Torrette, Ancona, Italy
| | - Carlo Masciocchi
- Department of Applied Clinical Science and Biotechnology, University of L'Aquila, Via Vetoio 1, 67100, L'Aquila, Italy
| | - Ernesto Di Cesare
- Department of Life, Health and Environmental Sciences, University of L'Aquila, Piazzale Salvatore Tommasi 1, 67100, L'Aquila, Italy
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Korthals D, Chatzantonis G, Bietenbeck M, Meier C, Stalling P, Yilmaz A. CMR-based T1-mapping offers superior diagnostic value compared to longitudinal strain-based assessment of relative apical sparing in cardiac amyloidosis. Sci Rep 2021; 11:15521. [PMID: 34330967 PMCID: PMC8324782 DOI: 10.1038/s41598-021-94650-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 07/14/2021] [Indexed: 02/06/2023] Open
Abstract
Cardiac amyloidosis (CA) is an infiltrative disease. In the present study, we compared the diagnostic accuracy of cardiovascular magnetic resonance (CMR)-based T1-mapping and subsequent extracellular volume fraction (ECV) measurement and longitudinal strain analysis in the same patients with (a) biopsy-proven cardiac amyloidosis (CA) and (b) hypertrophic cardiomyopathy (HCM). N = 30 patients with CA, N = 20 patients with HCM and N = 15 healthy control patients without relevant cardiac disease underwent dedicated CMR studies. The CMR protocol included standard sequences for cine-imaging, native and post-contrast T1-mapping and late-gadolinium-enhancement. ECV measurements were based on pre- and post-contrast T1-mapping images. Feature-tracking analysis was used to calculate 3D left ventricular longitudinal strain (LV-LS) in basal, mid and apical short-axis cine-images and to assess the presence of relative apical sparing. Receiver-operating-characteristic analysis revealed an area-under-the-curve regarding the differentiation of CA from HCM of 0.984 for native T1-mapping (p < 0.001), of 0.985 for ECV (p < 0.001) and only 0.740 for the "apical-to-(basal + midventricular)"-ratio of LV-LS (p = 0.012). A multivariable logistical regression analysis showed that ECV was the only statistically significant predictor of CA when compared to the parameter LV-LS or to the parameter "apical-to-(basal + midventricular)" LV-RLS-ratio. Native T1-mapping and ECV measurement are both superior to longitudinal strain measurement (with assessment of relative apical sparing) regarding the appropriate diagnosis of CA.
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Affiliation(s)
- Dennis Korthals
- Department of Cardiology I, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany
| | - Grigorios Chatzantonis
- Department of Cardiology I, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany
| | - Michael Bietenbeck
- Department of Cardiology I, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany
| | - Claudia Meier
- Department of Cardiology I, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany
| | - Philipp Stalling
- Department of Cardiology I, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany
| | - Ali Yilmaz
- Department of Cardiology I, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.
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