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Dong JX, Wei L, Jin LX, He J, Zhao CX, Ding S, Kong LC, Yang F, An DAL, Wu CW, Chen BH, Wang HW, Yang YN, Ge H, Pu J. MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST-Segment Elevation Myocardial Infarction. J Magn Reson Imaging 2024; 59:1820-1831. [PMID: 37830268 DOI: 10.1002/jmri.28998] [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: 05/16/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND The impact of left ventricular mechanical dyssynchrony (LVMD) on the long-term prognosis of ST-segment elevation myocardial infarction (STEMI) is unclear. HYPOTHESIS MR uniformity ratio estimates (URE) can detect LVMD and assess STEMI prognosis. STUDY TYPE Retrospective analysis of a prospective multicenter registry (EARLY-MYO trial, NCT03768453). POPULATION Overall, 450 patients (50 females) with first-time STEMI were analyzed, as well as 40 participants without cardiovascular disease as controls. FIELD STRENGTH/SEQUENCE 3.0-T, balanced steady-state free precession cine and late gadolinium enhancement imaging. ASSESSMENT MRI data were acquired within 1 week of symptom onset. Major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal re-infarction, hospitalization for heart failure, and stroke, were the primary clinical outcomes. LVMD was represented by circumferential URE (CURE) and radial URE (RURE) calculated using strain measurements. The patients were grouped according to clinical outcomes or URE values. Patients' clinical characteristics and MR indicators were compared. STATISTICAL TESTS The Student's t-test, Mann-Whitney U test, chi-square test, Fisher's exact test, receiver operating characteristic curve analysis with area under the curve, Kaplan-Meier analysis, Cox regression, logistic regression, intraclass correlation coefficient, c-index, and integrated discrimination improvement were used. P < 0.05 was considered statistically significant. RESULTS CURE and RURE were significantly lower in patients with STEMI than in controls. The median follow-up was 60.5 months. Patients with both lower CURE and RURE values experienced a significantly higher incidence of MACEs by 3.525-fold. Both CURE and RURE were independent risk factors for MACEs. The addition of UREs improved diagnostic efficacy and risk stratification based on infarct size and left ventricular ejection fraction (LVEF). The indicators associated with LVMD included male sex, serum biomarkers (peak creatine phosphokinase and cardiac troponin I), infarct size, and LVEF. DATA CONCLUSION CURE and RURE may be useful to evaluate long-term prognosis after STEMI. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Jian-Xun Dong
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lai Wei
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Li-Xing Jin
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jie He
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chen-Xu Zhao
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Song Ding
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ling-Cong Kong
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Fan Yang
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dong-Ao-Lei An
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chong-Wen Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hu-Wen Wang
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yi-Ning Yang
- People's Hospital of Xinjiang Uygur Autonomous Region, Wulumuqi, China
| | - Heng Ge
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jun Pu
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Hao X, Wu J, Zhu L, Li X. Evaluation of myocardial strain in patients with subclinical hypertrophic cardiomyopathy and subclinical Hypertensive Heart Disease using Cardiac magnetic resonance feature tracking. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:2237-2246. [PMID: 37682417 DOI: 10.1007/s10554-023-02930-x] [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: 05/16/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023]
Abstract
The evaluation of cardiac magnetic resonance feature tracking may have great diagnostic value in hypertrophic cardiomyopathy and hypertensive heart disease. Exploring the diagnostic and clinical research value of cardiac magnetic resonance feature tracks in evaluation of myocardium deformation in patients with subclinical hypertrophic cardiomyopathy(SHCM)and subclinical hypertensive heart disease(SHHD). Cardiovascular Magnetic Resonance (CMR) scans were performed on a 1.5 T MR scanner in 33 patients with SHCM, 31 patients with SHHD, and 27 controls(NS). The CMR image post-processing software was used to analyze the characteristics of routine cardiac function, different global and regional myocardial strain in each group. Analysis of variance (ANOVA) was used to compare age, blood pressure, heart rate, routine cardiac function, body mass index (BMI), as well as the strain between different segments within each of the three groups. Once a significant difference was detected, a least significant difference (LSD) comparison would be performed. The diagnostic efficacy of different parameters in differentiating SHHD from SHCM was evaluated through receiver operating characteristic (ROC) curve analysis, and the best cut-off value was determined. There was no statistical difference among three groups (P>0.05) in routine cardiac function while significant statistical differences were found in the global myocardial strain parameters and the peak strain parameters of some segments (especially basal segments) (P < 0.05). The global radial peak strain (GRPS) was most effective (AUC = 0.885, 95% CI: 0.085-0.971, P<0.001) with a sensitivity and specificity of 84% and 88% at a cut-off value of 40.105, contributing to distinguishing SHCM from SHHD group. Cardiac magnetic resonance feature tracking could detect left ventricular deformation in patients with SHCM and SHHD group. The abnormality of strain has important research value for subclinical diagnosis and clinical evaluation.
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Affiliation(s)
- Xiaoyong Hao
- Department of Magnetic resonance, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China
| | - Jiang Wu
- Department of Magnetic resonance, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China.
| | - Lina Zhu
- Department of Magnetic resonance, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China
| | - Xuan Li
- Department of Magnetic resonance, Shanxi Cardiovascular Hospital, Taiyuan, Shanxi, China
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Yuan Y, Yang K, Liu Q, Song W, Jin D, Zhao S. Nonspecific intraventricular conduction delay predicts the prognosis of dilated cardiomyopathy. BMC Cardiovasc Disord 2023; 23:409. [PMID: 37596522 PMCID: PMC10439585 DOI: 10.1186/s12872-023-03437-y] [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: 02/27/2023] [Accepted: 08/08/2023] [Indexed: 08/20/2023] Open
Abstract
PURPOSE Left bundle branch block (LBBB) has been confirmed to be independently associated with adverse outcomes in dilated cardiomyopathy (DCM). However, prognostic data on nonspecific intraventricular conduction delay (NSIVCD) are still limited and conflicting. We aimed to evaluate the prognosis of DCM with NSIVCD. METHODS A total of 548 DCM patients who underwent cardiovascular magnetic resonance imaging (CMR) from January 2016 to December 2017 were consecutively enrolled. The cohort was divided into four groups: 87 with LBBB, 27 with RBBB, 61 with NSIVCD, and 373 without intraventricular conduction delay (IVCD). After a median follow-up of 58 months (interquartile range: 47-65), 123 patients reached the composite endpoints, which included cardiovascular death, heart transplantation, and malignant arrhythmias. The associations between different patterns of IVCD and the outcomes of DCM were analysed by Kaplan‒Meier analysis and Cox proportional hazards regression analysis. RESULTS Of 548 DCM patients, there were 398 males (72.6%), and the average age was 46 ± 15 years, ranging from 18 to 76 years. In Kaplan‒Meier analysis, patients with NSIVCD and LBBB showed higher event rates than patients without IVCD, while RBBB patients did not. By multivariate Cox regression analysis, LBBB, NSIVCD, NYHA class, left ventricular ejection fraction (LVEF), indexed left ventricular end-diastolic diameter (LVEDDI), percentage of late gadolinium enhancement mass (LGE%), and global longitudinal strain (GLS) were found to be independently associated with the outcomes of DCM. CONCLUSIONS In addition to LBBB, NSIVCD was an unfavourable prognostic marker in patients with DCM, independent of LVEDDI, NYHA class, LVEF, LGE%, and GLS.
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Affiliation(s)
- Yong Yuan
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Department of Diagnostic Imaging, Geriatric Hospital of Nanjing Medical University, Nanjing, 210024, China
| | - Kai Yang
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Qianjun Liu
- Department of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China
| | - Weixiang Song
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Dongsheng Jin
- Department of Diagnostic Imaging, Geriatric Hospital of Nanjing Medical University, Nanjing, 210024, China.
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Cardiovascular Imaging and Intervention Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
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Zhang L, Wan Y, He B, Wang L, Zhu D, Gao F. Left ventricular strain patterns and their relationships with cardiac biomarkers in hypertrophic cardiomyopathy patients with preserved left ventricular ejection fraction. Front Cardiovasc Med 2022; 9:963110. [PMID: 36267632 PMCID: PMC9577012 DOI: 10.3389/fcvm.2022.963110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/15/2022] [Indexed: 11/13/2022] Open
Abstract
Aims This study aims to assess left ventricular (LV) function in hypertrophic cardiomyopathy (HCM) patients with preserved left ventricular ejection fraction (LVEF) by LV strain patterns based on cardiac magnetic resonance feature tracking (CMR-FT) and to explore the relationships between LV strain patterns and cardiac biomarkers in these patients, such as cardiac troponin (cTnT) and N-terminal prohormone of the brain natriuretic peptide (NT-proBNP). Methods A total of 64 HCM patients with preserved LVEF and 33 healthy people were included in this study. All subjects underwent contrast-enhanced CMR, and all patients took blood tests for cTnT and NT-proBNP during hospitalization. Results Despite the absence of a significant difference in LVEF between HCM patients and healthy controls, almost all global and segmental strains in radial, circumferential, and longitudinal directions in the HCM group deteriorated significantly as compared to controls (p < 0.05). Moreover, some global and segmental strains correlated significantly with NT-proBNP and cTnT in HCM patients, and the best correlations were global radial strain (GRS) (r = -0.553, p < 0.001) and mid-ventricular radial strain (MRS) (r = -0.582, p < 0.001), respectively, with a moderate correlation. The receiver operating characteristic (ROC) results showed that among the LV deformation parameters, GRS [area under the curve (AUC), 0.76; sensitivity, 0.49; specificity, 1.00], MRS (AUC, 0.81; sensitivity, 0.77; specificity, 0.79) demonstrated greater diagnostic accuracy to predict elevated NT-proBNP, and abnormal cTnT, respectively. Their cut-off values were 21.17 and 20.94%, respectively. Finally, all global strains demonstrated moderate, good, and excellent intra- and inter-observer reproducibility. Conclusion LV strain patterns can be used to assess the subclinical cardiac function of HCM patients on the merit of being more sensitive than LVEF. In addition, LV strain patterns can detect serious HCM patients and may be helpful to non-invasively predict elevated NT-proBNP and cTnT.
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Affiliation(s)
- Lisha Zhang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yixuan Wan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Bo He
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Wang
- Molecular Imaging Center, West China Hospital, Sichuan University, Chengdu, China
| | - Dongyong Zhu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Fabao Gao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China,Molecular Imaging Center, West China Hospital, Sichuan University, Chengdu, China,*Correspondence: Fabao Gao
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Song Y, Li L, Chen X, Ji K, Lu M, Hauer R, Chen L, Zhao S. Left Ventricular Longitudinal Dyssynchrony by CMR Feature Tracking Is Related to Adverse Prognosis in Advanced Arrhythmogenic Cardiomyopathy. Front Cardiovasc Med 2021; 8:712832. [PMID: 34708081 PMCID: PMC8542718 DOI: 10.3389/fcvm.2021.712832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 08/24/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: Left ventricular (LV) involvement has been associated with unfavorable prognosis in arrhythmogenic cardiomyopathy (ACM). We aim to evaluate LV mechanics by cardiovascular magnetic resonance-feature tracking (CMR-FT) in ACM patients with right ventricular (RV) dysfunction. Methods: We retrospectively recruited ACM patients diagnosed according to the revised Task Force Criteria (rTFC) from January 2015 to July 2017. All patients underwent CMR examinations and collections of clinical, electrocardiographic data. The strain and dyssynchrony parameters of LV and RV were analyzed. These patients were followed, and primary study outcome was defined as a composite of cardiovascular events (arrhythmic events and heart transplantation), secondary study outcome included arrhythmic events. Results: Eighty-nine ACM patients (40.40 ± 13.98 years, 67.42% male) were included. LV and RV ejection fractions were 49.12 ± 12.02% and 22.28 ± 10.11%, respectively. During a median (IQR) follow-up for 18.20 (11.60-30.04) months, 30 patients experienced cardiovascular events which included 22 patients who experienced arrhythmic events. Patients with cardiovascular events had impaired LV global longitudinal strain (-10.82 ± 2.77 vs. -12.61 ± 3.18%, p = 0.010), impaired LV global circumferential strain (-11.81 ± 2.40 vs. -13.04 ± 2.83%, p = 0.044), and greater LV longitudinal dyssynchrony (LVLD) (80.98 ± 30.98 vs. 64.23 ± 25.51 ms, p = 0.012) than those without. After adjusting for age, sex, and other confounding factors, LVLD ≥89.15 ms was an independent risk factor for cardiovascular events (HR: 4.50, 95% CI: 1.94 to 10.42; p = 0.001) and for arrhythmic events (HR: 4.79, 95% CI: 1.74 to 13.20; p = 0.003). Conclusions: LVLD by CMR-FT was an independent risk factor for cardiovascular and arrhythmic events in ACM patients in advanced stage, which could provide prognostic value for this subtype.
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Affiliation(s)
- Yanyan Song
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiuyu Chen
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keshan Ji
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Minjie Lu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Richard Hauer
- Netherlands Heart Institute and Department of Cardiology, University Medical Center, Utrecht, Netherlands
| | - Liang Chen
- Department of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Quantification of Myocardial Deformation Applying CMR-Feature-Tracking-All About the Left Ventricle? Curr Heart Fail Rep 2021; 18:225-239. [PMID: 33931818 PMCID: PMC8342400 DOI: 10.1007/s11897-021-00515-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/15/2021] [Indexed: 11/11/2022]
Abstract
Purpose of Review Cardiac magnetic resonance-feature-tracking (CMR-FT)-based deformation analyses are key tools of cardiovascular imaging and applications in heart failure (HF) diagnostics are expanding. In this review, we outline the current range of application with diagnostic and prognostic implications and provide perspectives on future trends of this technique. Recent Findings By applying CMR-FT in different cardiovascular diseases, increasing evidence proves CMR-FT-derived parameters as powerful diagnostic and prognostic imaging biomarkers within the HF continuum partly outperforming traditional clinical values like left ventricular ejection fraction. Importantly, HF diagnostics and deformation analyses by CMR-FT are feasible far beyond sole left ventricular performance evaluation underlining the holistic nature and accuracy of this imaging approach. Summary As an established and continuously evolving technique with strong prognostic implications, CMR-FT deformation analyses enable comprehensive cardiac performance quantification of all cardiac chambers.
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Quantitative mechanical dyssynchrony in dilated cardiomyopathy measured by deformable registration algorithm. Eur Radiol 2020; 30:2010-2020. [PMID: 31953665 DOI: 10.1007/s00330-019-06578-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 11/04/2019] [Accepted: 11/07/2019] [Indexed: 02/05/2023]
Abstract
OBJECTIVES To investigate the diagnostic value and reproducibility of deformable registration algorithm (DRA)-derived mechanical dyssynchrony parameters in dilated cardiomyopathy (DCM) patients. METHODS The present study included 80 DCM patients (40 with normal QRS duration (NQRS-DCM); 40 with left bundle branch block (LBBB-DCM)) and 20 healthy volunteers. The balanced steady-state free-precession (bSSFP) cine images were acquired using a 3.0T scanner. Mechanical dyssynchrony parameters were calculated based on DRA-derived segmental strain, including uniformity ratio estimate (URE) and standard derivation of time-to-peak (T2Psd) parameters in circumferential, radial, and longitudinal orientations. RESULTS DCM patients showed significant mechanical dyssynchrony reflected by both URE and T2Psd parameters compared with controls. Among DCM patients, LBBB-DCM showed decreased CURE (0.78 ± 0.21 vs. 0.93 ± 0.05, p < 0.001) and RURE (0.69 ± 0.14 vs. 0.83 ± 0.15, p = 0.001), and increased T2Psd-Ecc (median with interquartile range, 94.1 (54.4-123.2) ms vs. 63.7 (44.9-80.4) ms, p = 0.003) and T2Psd-Err (91.1 (61.1-103.2) ms vs. 62.3 (46.3-104.5) ms, p = 0.041) compared with NQRS-DCM patients. CURE showed a strong correlation with QRS duration (r = - 0.54, p < 0.001), with maximum AUC (0.791) to differentiate LBBB-DCM from NQRS-DCM patients. Improved intra- and inter-observer reproducibility was found using URE indices (coefficient of variation (CoV), 1.20-3.17%) than T2Psd parameters (CoV, 15.28-41.18%). CONCLUSIONS The DRA-based CURE showed significant correlation with QRS duration and the highest discriminatory value between LBBB-DCM and NQRS-DCM patients. URE indices showed greater reproducibility compared with T2Psd parameters for assessing myocardial dyssynchrony in DCM patients. KEY POINTS • The strain analyses based on DRA suggested that DCM patients have varying degrees of mechanical dyssynchrony and there is a significant difference from normal controls. • CURE showed the strongest correlation with QRS duration and was the best parameter for differentiating DCM patients with normal QRS duration from patients with LBBB, and with normal controls. • URE indices showed improved reproducibility compared with T2Psd parameters in all three orientations (circumferential, radial, and longitudinal).
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Stiermaier T, Backhaus SJ, Lange T, Koschalka A, Navarra JL, Boom P, Lamata P, Kowallick JT, Lotz J, Gutberlet M, de Waha-Thiele S, Desch S, Hasenfuß G, Thiele H, Eitel I, Schuster A. Cardiac Magnetic Resonance Left Ventricular Mechanical Uniformity Alterations for Risk Assessment After Acute Myocardial Infarction. J Am Heart Assoc 2019; 8:e011576. [PMID: 31387432 PMCID: PMC6759895 DOI: 10.1161/jaha.118.011576] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background Despite limitations as a stand-alone parameter, left ventricular (LV) ejection fraction is the preferred measure of myocardial function and marker for postinfarction risk stratification. LV myocardial uniformity alterations may provide superior prognostic information after acute myocardial infarction, which was the subject of this study. Methods and Results Consecutive patients with acute myocardial infarction (n=1082; median age: 63 years; 75% male) undergoing cardiac magnetic resonance at a median of 3 days after infarction were included in this multicenter observational study. Circumferential and radial uniformity ratio estimates were derived from cardiac magnetic resonance feature tracking as markers of mechanical uniformity alterations (values between 0 and 1 with 1 reflecting perfect uniformity). The clinical end point was the 12-month rate of major adverse cardiac events, consisting of all-cause death, reinfarction, and new congestive heart failure. Patients with major adverse cardiac events (n=73) had significantly impaired circumferential uniformity ratio estimates (0.76 [interquartile range: 0.67-0.86] versus 0.84 [interquartile range: 0.76-0.89]; P<0.001) and radial uniformity ratio estimates (0.69 [interquartile range: 0.60-0.79] versus 0.76 [interquartile range: 0.67-0.83]; P<0.001) compared with patients without events. Although uniformity estimates did not provide independent prognostic information in the overall cohort, a circumferential uniformity ratio estimate below the median of 0.84 emerged as an independent predictor of outcome in postinfarction patients with LV ejection fraction >35% (n=959), even after adjustment for established risk factors (hazard ratio: 1.99; 95% CI, 1.06-3.74; P=0.033 in multivariable Cox regression analysis). In contrast, LV ejection fraction was not associated with adverse events in this subgroup of patients with acute myocardial infarction. Conclusions Cardiac magnetic resonance-derived estimates of mechanical uniformity alterations are novel markers for risk assessment after acute myocardial infarction, and the circumferential uniformity ratio estimate provides independent prognostic information for patients with preserved or only moderately reduced LV ejection fraction.
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Affiliation(s)
- Thomas Stiermaier
- Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine) University Heart Center Lübeck University Hospital Schleswig-Holstein Lübeck Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck Lübeck Germany
| | - Sören J Backhaus
- Department of Cardiology and Pneumology University Medical Center Göttingen Georg-August University Göttingen Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany
| | - Torben Lange
- Department of Cardiology and Pneumology University Medical Center Göttingen Georg-August University Göttingen Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany
| | - Alexander Koschalka
- Department of Cardiology and Pneumology University Medical Center Göttingen Georg-August University Göttingen Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany
| | - Jenny-Lou Navarra
- Department of Cardiology and Pneumology University Medical Center Göttingen Georg-August University Göttingen Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany
| | - Patricia Boom
- Department of Cardiology and Pneumology University Medical Center Göttingen Georg-August University Göttingen Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany
| | - Pablo Lamata
- Department of Biomedical Engineering School of Biomedical Engineering and Imaging Sciences King's College of London London United Kingdom
| | - Johannes T Kowallick
- German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany.,Institute for Diagnostic and Interventional Radiology University Medical Center Göttingen Georg-August University Göttingen Germany
| | - Joachim Lotz
- German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany.,Institute for Diagnostic and Interventional Radiology University Medical Center Göttingen Georg-August University Göttingen Germany
| | - Matthias Gutberlet
- Department of Radiology Heart Center Leipzig at University of Leipzig Germany
| | - Suzanne de Waha-Thiele
- Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine) University Heart Center Lübeck University Hospital Schleswig-Holstein Lübeck Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck Lübeck Germany
| | - Steffen Desch
- Department of Internal Medicine/Cardiology Heart Center Leipzig at University of Leipzig Germany
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology University Medical Center Göttingen Georg-August University Göttingen Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany
| | - Holger Thiele
- Department of Internal Medicine/Cardiology Heart Center Leipzig at University of Leipzig Germany
| | - Ingo Eitel
- Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine) University Heart Center Lübeck University Hospital Schleswig-Holstein Lübeck Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck Lübeck Germany
| | - Andreas Schuster
- Department of Cardiology and Pneumology University Medical Center Göttingen Georg-August University Göttingen Germany.,German Center for Cardiovascular Research (DZHK), partner site Göttingen Göttingen Germany.,Department of Biomedical Engineering School of Biomedical Engineering and Imaging Sciences King's College of London London United Kingdom.,Department of Cardiology Royal North Shore Hospital The Kolling Institute Northern Clinical School University of Sydney Australia
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Shi RY, An DA, Chen BH, Wu R, Wu CW, Du L, Zhu J, Jiang M, Xu JR, Wu LM. High T2-weighted signal intensity is associated with myocardial deformation in hypertrophic cardiomyopathy. Sci Rep 2019; 9:2644. [PMID: 30804397 PMCID: PMC6390098 DOI: 10.1038/s41598-019-39456-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 01/24/2019] [Indexed: 12/17/2022] Open
Abstract
The association between global and segmental myocardial strain impairment and fibrosis extent in hypertrophic cardiomyopathy (HCM) is widely verified. The aim of this study was to investigate the contribution of high T2-weighted signal intensity (HighT2) to myocardial deformation in HCM. We prospectively recruited 57 patients with HCM examined by a 3.0 Tesla magnetic resonance scanner with cine, T2-weighted imaging with fat saturation and phase-sensitive inversion recovery. Global and segmental radial, circumferential and longitudinal strains were included for analysis. The extent of HighT2 was negatively correlated with global radial strain (ρ = −0.275, p = 0.038) and positively correlated with global circumferential strain (ρ = 0.308, p = 0.02) and global longitudinal strain (ρ = 0.422, p = 0.001). Radial, circumferential and longitudinal strains were all significantly associated with segment thickness. Regarding circumferential strain, segments at the mid-ventricular level with LGE and HighT2 showed more impairment than segments with only LGE. For longitudinal strain, the influence of HighT2 appeared only at the mid-ventricular level. The HighT2 extent in HCM was observed to contribute to global and segmental strain parameters. At the segmental level, HighT2 indeed affects left ventricular deformation, and follow-up studies are still warranted.
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Affiliation(s)
- Ruo-Yang Shi
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chong-Wen Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Liang Du
- Robotics Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Jiong Zhu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Jiang
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-Rong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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10
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Sassone B, Nucifora G, Mele D, Valzania C, Bisignani G, Boriani G. Role of cardiovascular imaging in cardiac resynchronization therapy: a literature review. J Cardiovasc Med (Hagerstown) 2018; 19:211-222. [PMID: 29470248 DOI: 10.2459/jcm.0000000000000635] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
: Cardiac resynchronization therapy (CRT) is an established treatment in patients with symptomatic drug-refractory heart failure and broad QRS complex on the surface ECG. Despite the presence of either mechanical dyssynchrony or viable myocardium at the site where delivering left ventricular pacing being necessary conditions for a successful CRT, their direct assessment by techniques of cardiovascular imaging, though feasible, is not recommended in clinical practice by the current guidelines. Indeed, even though there is growing body of data providing evidence of the additional value of an image-based approach as compared with routine approach in improving response to CRT, these results should be confirmed in prospective and large multicentre trials before their impact on CRT guidelines is considered.
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Affiliation(s)
- Biagio Sassone
- Department of Cardiology, SS.ma Annunziata Hospital.,Department of Cardiology, Delta Hospital, Azienda Unità Sanitaria Locale Ferrara, Ferrara, Italy
| | - Gaetano Nucifora
- Cardiology Department, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK.,Flinders University, Adelaide, Australia
| | - Donato Mele
- Noninvasive Cardiology Unit, University Hospital of Ferrara, Ferrara
| | - Cinzia Valzania
- Institute of Cardiology, University of Bologna, Policlinico S. Orsola-Malpighi, Bologna
| | | | - Giuseppe Boriani
- Cardiology Division, Department of Diagnostics, Clinical and Public Health Medicine, University of Modena and Reggio Emilia, Policlinico of Modena, Modena, Italy
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11
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Backhaus SJ, Stiermaier T, Lange T, Chiribiri A, Lamata P, Uhlig J, Kowallick JT, Raaz U, Villa A, Lotz J, Hasenfuß G, Thiele H, Eitel I, Schuster A. Temporal changes within mechanical dyssynchrony and rotational mechanics in Takotsubo syndrome: A cardiovascular magnetic resonance imaging study. Int J Cardiol 2018; 273:256-262. [PMID: 30195843 PMCID: PMC6236127 DOI: 10.1016/j.ijcard.2018.04.088] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 04/13/2018] [Accepted: 04/20/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND The pathophysiological significance of dyssynchrony and rotation in Takotsubo syndrome (TTS) is unknown. We aimed to define the influence of cardiovascular magnetic resonance feature tracking (CMR-FT) dyssynchrony and rotational mechanics in acute and during clinical course of TTS. METHODS This multicenter study included 152 TTS patients undergoing CMR (mean 3 days after symptom onset). Apical, midventricular and basal short axis views were analysed in a core-laboratory. Systolic torsion, diastolic recoil and dyssynchrony expressed as circumferential and radial uniformity ratio estimates (CURE and RURE: 0 to 1; 1 = perfect synchrony) were compared to a matched control group (n = 21). Follow-up CMR (n = 20 patients; mean 62 days, SD 7.2) and general follow-up (n = 136; mean 3.3 years, SD 2.4) were performed. RESULTS CURE was initially reduced compared to controls (p = 0.001) and recovered at follow-up (p < 0.001) as opposed to RURE (p = 0.116 and p = 0.179). CURE and RURE discriminated between ballooning patterns (p = 0.001 and p = 0.045). Recoil was generally impaired during the acute phase (p = 0.015), torsion only in highly dyssynchronous patients (p = 0.024). Diabetes (p = 0.007), physical triggers (p = 0.013) and malignancies (p = 0.001) predicted mortality. The latter showed a distinct association with impaired torsion (p = 0.042) and dyssynchrony (p = 0.047). Physical triggers and malignancies were related to biventricular impairment (p = 0.004 and p = 0.026), showing higher dyssynchrony (p < 0.01), greater reduction of left ventricular function (p < 0.001) and a strong trend towards increased mortality (p = 0.074). CONCLUSION Transient circumferential dyssynchrony and impaired rotational mechanics are distinct features of TTS with different severities according to the pattern of ballooning. Patients with malignancies and precipitating physical triggers frequently show biventricular affection, greater dyssynchrony and high mortality risk.
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Affiliation(s)
- Sören J Backhaus
- University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Thomas Stiermaier
- University Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany and German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Torben Lange
- University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Amedeo Chiribiri
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Pablo Lamata
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Johannes Uhlig
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Johannes T Kowallick
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Uwe Raaz
- University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Adriana Villa
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Joachim Lotz
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Gerd Hasenfuß
- University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Holger Thiele
- Heart Center Leipzig, University of Leipzig, Department of Internal Medicine/Cardiology, Leipzig, Germany
| | - Ingo Eitel
- University Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany and German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Lübeck, Germany.
| | - Andreas Schuster
- University Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen Germany and German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany; Department of Cardiology, Royal North Shore Hospital, The Kolling Institute, Northern Clinical School, University of Sydney, Sydney, Australia.
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12
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Nucifora G, Muser D, Tioni C, Shah R, Selvanayagam JB. Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction. Int J Cardiol 2018; 271:387-391. [DOI: 10.1016/j.ijcard.2018.05.082] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 04/26/2018] [Accepted: 05/22/2018] [Indexed: 12/20/2022]
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13
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Dardeer AM, Hudsmith L, Wesolowski R, Clift P, Steeds RP. The potential role of feature tracking in adult congenital heart disease: advantages and disadvantages in measuring myocardial deformation by cardiovascular magnetic resonance. JOURNAL OF CONGENITAL CARDIOLOGY 2018. [DOI: 10.1186/s40949-018-0015-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
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14
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Steinmetz M, Usenbenz S, Kowallick JT, Hösch O, Staab W, Lange T, Kutty S, Lotz J, Hasenfuß G, Paul T, Schuster A. Left ventricular synchrony, torsion, and recoil mechanics in Ebstein's anomaly: insights from cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2017; 19:101. [PMID: 29237468 PMCID: PMC5729283 DOI: 10.1186/s12968-017-0414-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 11/23/2017] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Disease progression and heart failure development in Ebstein's Anomaly (EA) of the tricuspid valve is characterized by both right and left ventricular (LV) deterioration. The mechanisms underlying LV dysfunction and their role in heart failure development are incompletely understood. We hypothesized that LV dyssynchrony and impaired torsion and recoil mechanics induced by paradoxical movement of the basal septum may play a role in heart failure development. METHODS 31 EA patients and 31 matched controls underwent prospective cardiovascular magnetic resonance (CMR). CMR feature tracking (CMR-FT) was performed on apical, midventricular and basal short-axis and 4D-volume analysis was performed using three long-axis views and a short axis cine stack employing dedicated software. Circumferential uniformity ratio estimates (CURE) time-to-peak-based circumferential systolic dyssynchrony index (C-SDI), 4D volume analysis derived SDI (4D-SDI), torsion (Tor) and systolic (sysTR) and diastolic torsion rate (diasTR) were calculated for the LV. QRS duration, brain natriuretic peptide, NYHA and Total R/L-Volume Index (R/L Index) were obtained. RESULTS EA patients (31.5 years; controls 31.4 years) had significantly longer QRS duration (123.35 ms ± 26.36 vs. 97.33 ms ± 11.89 p < 0.01) and showed more LV dyssynchrony (4D-SDI 7.60% ± 4.58 vs. 2.54% ± 0.62, p < 0.001; CURE 0.77 ± 0.05 vs. 0.86 ± 0.03, p < 0.001; C-SDI 7.70 ± 3.38 vs. 3.80 ± 0.91, p = 0.001). There were significant associations of LV dyssynchrony with heart failure parameters and QRS duration. Although torsion and recoil mechanics did not differ significantly (p > 0.05) there was an association of torsion and recoil mechanics with dyssynchrony parameters CURE (sysTR r = -0.426; p = 0.017, diasTR r = 0.419; p = 0.019), 4D-SDI (sysTR r = 0.383; p = 0.044) and C-SDI (diasTR r = -0.364; p = 0.044). CONCLUSIONS EA is characterized by LV intra-ventricular dyssynchrony, which is associated with heart failure and disease severity parameters. Markers of dyssynchrony can easily be quantified from CMR-FT, and may have a role in the assessment of altered cardiac function, carrying potential management implications for EA patients.
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Affiliation(s)
- Michael Steinmetz
- Department of Pediatric Cardiology and Intensive Care Medicine, Georg-August University Göttingen, University Medical Center, Robert-Koch-Str. 40, D-37099 Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Simon Usenbenz
- Department of Pediatric Cardiology and Intensive Care Medicine, Georg-August University Göttingen, University Medical Center, Robert-Koch-Str. 40, D-37099 Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Johannes Tammo Kowallick
- Institute for Diagostic and Interventional Radiology, Georg-August-University Göttingen, University Medical Center, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Olga Hösch
- Department of Pediatric Cardiology and Intensive Care Medicine, Georg-August University Göttingen, University Medical Center, Robert-Koch-Str. 40, D-37099 Göttingen, Germany
| | - Wieland Staab
- Institute for Diagostic and Interventional Radiology, Georg-August-University Göttingen, University Medical Center, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Torben Lange
- Department of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center, Robert-Koch-Str. 40, D-37099 Götttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Shelby Kutty
- University of Nebraska Medical Center/ Children’s Hospital and Medical Center, Omaha, NE USA
| | - Joachim Lotz
- Institute for Diagostic and Interventional Radiology, Georg-August-University Göttingen, University Medical Center, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center, Robert-Koch-Str. 40, D-37099 Götttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Thomas Paul
- Department of Pediatric Cardiology and Intensive Care Medicine, Georg-August University Göttingen, University Medical Center, Robert-Koch-Str. 40, D-37099 Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
| | - Andreas Schuster
- Department of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center, Robert-Koch-Str. 40, D-37099 Götttingen, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany
- Department of Cardiology, Royal North Shore Hospital, The Kolling Institute, Nothern Clinical School, University of Sydney, Sydney, Australia
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15
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Almutairi HM, Boubertakh R, Miquel ME, Petersen SE. Myocardial deformation assessment using cardiovascular magnetic resonance-feature tracking technique. Br J Radiol 2017; 90:20170072. [PMID: 28830199 DOI: 10.1259/bjr.20170072] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) imaging is an important modality that allows the assessment of regional myocardial function by measuring myocardial deformation parameters, such as strain and strain rate throughout the cardiac cycle. Feature tracking is a promising quantitative post-processing technique that is increasingly used. It is commonly applied to cine images, in particular steady-state free precession, acquired during routine CMR examinations. OBJECTIVE To review the studies that have used feature tracking techniques in healthy subjects or patients with cardiovascular diseases. The article emphasizes the advantages and limitations of feature tracking when applied to regional deformation parameters. The challenges of applying the techniques in clinics and potential solutions are also reviewed. RESULTS Research studies in healthy volunteers and/or patients either applied CMR-feature tracking alone to assess myocardial motion or compared it with either established CMR-tagging techniques or to speckle tracking echocardiography. These studies assessed the feasibility and reliability of calculating or determining global and regional myocardial deformation strain parameters. Regional deformation parameters are reviewed and compared. Better reproducibility for global deformation was observed compared with segmental parameters. Overall, studies demonstrated that circumferential was the most reproducible deformation parameter, usually followed by longitudinal strain; in contrast, radial strain showed high variability. CONCLUSION Although feature tracking is a promising tool, there are still discrepancies in the results obtained using different software packages. This highlights a clear need for standardization of MRI acquisition parameters and feature tracking analysis methodologies. Validation, including physical and numerical phantoms, is still required to facilitate the use of feature tracking in routine clinical practice.
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Affiliation(s)
- Haifa M Almutairi
- 1 Centre for Advanced Cardiovascular Imaging and Research, William Harvey Research Institute, Queen Mary University London, London, UK
| | - Redha Boubertakh
- 1 Centre for Advanced Cardiovascular Imaging and Research, William Harvey Research Institute, Queen Mary University London, London, UK.,2 Clinical Physics, Barts Health NHS Trust, London, United Kingdom
| | - Marc E Miquel
- 1 Centre for Advanced Cardiovascular Imaging and Research, William Harvey Research Institute, Queen Mary University London, London, UK.,2 Clinical Physics, Barts Health NHS Trust, London, United Kingdom
| | - Steffen E Petersen
- 1 Centre for Advanced Cardiovascular Imaging and Research, William Harvey Research Institute, Queen Mary University London, London, UK.,3 Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
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16
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Muser D, Tioni C, Shah R, Selvanayagam JB, Nucifora G. Prevalence, Correlates, and Prognostic Relevance of Myocardial Mechanical Dispersion as Assessed by Feature-Tracking Cardiac Magnetic Resonance After a First ST-Segment Elevation Myocardial Infarction. Am J Cardiol 2017. [PMID: 28648394 DOI: 10.1016/j.amjcard.2017.05.019] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Postinfarction mechanical dispersion (MD), that is, the regional heterogeneity of myocardial contraction throughout the cardiac cycle, has detrimental effects on left ventricular (LV) function and is related to the occurrence of heart failure and ventricular arrhythmias. However, its prevalence, pathophysiological determinants, and clinical utility are still unknown. The aim of the present study is to clarify these issues. In total, 130 consecutive patients (mean age 60 ± 12 years, 75% male) with a first ST-segment elevation myocardial infarction (STEMI) were included. Cardiac magnetic resonance (CMR) with late gadolinium enhancement imaging was performed to assess LV function, infarct size, and microvascular obstruction. Feature-tracking analysis was applied to cine-CMR short-axis images to assess MD, defined as the SD of the time-to-peak circumferential strain of the LV segments expressed as percent cardiac cycle. For comparison purpose, 40 control subjects similar in age and gender to the STEMI group were also included. Patients were followed-up for a median of 95 months; the outcome event was defined as a composite of cardiovascular death, aborted sudden cardiac death, and hospitalization for heart failure. STEMI patients had significantly higher MD compared with controls (12.0 ± 5.35% vs 3.85 ± 0.99%, p <0.001). At multivariate analysis, heart rate (β = 0.20, p = 0.008), LV end-systolic volume index (β = 0.37, p <0.001), and infarct size (β = 0.23, p = 0.017) were significantly and independently related to MD. The outcome event occurred in 26 (20%) patients. At multivariate Cox proportional hazards analysis, MD was significantly and independently related to the outcome event (p <0.001). MD provided significant incremental value over the other clinical and CMR variables in predicting the outcome event (p <0.001 for the chi-square change). In conclusion, MD after STEMI is a marker of the extent of myocardial damage; its assessment by feature-tracking CMR provides significant, independent, and incremental long-term prognostic information.
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Affiliation(s)
- Daniele Muser
- Cardiothoracic Department, University Hospital "Santa Maria della Misericordia", Udine, Italy
| | - Chiara Tioni
- Cardiothoracic Department, University Hospital "Santa Maria della Misericordia", Udine, Italy; Postgraduate School of Cardiovascular Sciences, University of Trieste, Trieste, Italy
| | - Ranjit Shah
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, South Australia, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, South Australia, Australia; Department of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, Adelaide, South Australia, Australia
| | - Joseph B Selvanayagam
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, South Australia, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, South Australia, Australia; Department of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, Adelaide, South Australia, Australia
| | - Gaetano Nucifora
- Department of Heart Health, South Australian Health & Medical Research Institute, Adelaide, South Australia, Australia; School of Medicine, Flinders University, Bedford Park, Adelaide, South Australia, Australia; Northwest Heart Centre, Wythenshawe Hospital, University Hospital of South Manchester NHS Foundation Trust, Manchester, United Kingdom.
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17
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Kowallick JT, Morton G, Lamata P, Jogiya R, Kutty S, Hasenfuß G, Lotz J, Chiribiri A, Nagel E, Schuster A. Quantitative assessment of left ventricular mechanical dyssynchrony using cine cardiovascular magnetic resonance imaging: Inter-study reproducibility. JRSM Cardiovasc Dis 2017; 6:2048004017710142. [PMID: 28567282 PMCID: PMC5438106 DOI: 10.1177/2048004017710142] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 04/13/2017] [Accepted: 04/23/2017] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVES To determine the inter-study reproducibility of left ventricular (LV) mechanical dyssynchrony measures based on standard cardiovascular magnetic resonance (CMR) cine images. DESIGN Steady-state free precession (SSFP) LV short-axis stacks and three long-axes were acquired on the same day at three time points. Circumferential strain systolic dyssynchrony indexes (SDI), area-SDI as well as circumferential and radial uniformity ratio estimates (CURE and RURE, respectively) were derived from CMR myocardial feature-tracking (CMR-FT) based on the tracking of three SSFP short-axis planes. Furthermore, 4D-LV-analysis based on SSFP short-axis stacks and longitudinal planes was performed to quantify 4D-volume-SDI. SETTING A single-centre London teaching hospital. PARTICIPANTS 16 healthy volunteers. MAIN OUTCOME MEASURES Inter-study reproducibility between the repeated exams. RESULTS CURE and RURE as well as 4D-volume-SDI showed good inter-study reproducibility (coefficient of variation [CoV] 6.4%-12.9%). Circumferential strain and area-SDI showed higher variability between the repeated measurements (CoV 24.9%-37.5%). Uniformity ratio estimates showed the lowest inter-study variability (CoV 6.4%-8.5%). CONCLUSIONS Derivation of LV mechanical dyssynchrony measures from standard cine images is feasible using CMR-FT and 4D-LV-analysis tools. Uniformity ratio estimates and 4D-volume-SDI showed good inter-study reproducibility. Their clinical value should next be explored in patients who potentially benefit from cardiac resynchronization therapy.
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Affiliation(s)
- Johannes T Kowallick
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, King's College London, St Thomas' Hospital, London, UK.,Institute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Germany
| | | | - Pablo Lamata
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, King's College London, St Thomas' Hospital, London, UK
| | - Roy Jogiya
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, King's College London, St Thomas' Hospital, London, UK
| | - Shelby Kutty
- Children's Hospital and Medical Center, University of Nebraska College of Medicine, Omaha, NE, USA
| | - Gerd Hasenfuß
- DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Germany.,Department of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany
| | - Joachim Lotz
- Institute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Germany
| | - Amedeo Chiribiri
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, King's College London, St Thomas' Hospital, London, UK
| | - Eike Nagel
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, King's College London, St Thomas' Hospital, London, UK.,Division of Cardiovascular Imaging, Goethe University Frankfurt and German Centre for Cardiovascular Research (DZHK, partner site Rhine-Main), Frankfurt, Germany
| | - Andreas Schuster
- Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, King's College London, St Thomas' Hospital, London, UK.,DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Germany.,Department of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany
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18
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Rahman ZU, Sethi P, Murtaza G, Virk HUH, Rai A, Mahmod M, Schoondyke J, Albalbissi K. Feature tracking cardiac magnetic resonance imaging: A review of a novel non-invasive cardiac imaging technique. World J Cardiol 2017; 9:312-319. [PMID: 28515849 PMCID: PMC5411965 DOI: 10.4330/wjc.v9.i4.312] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 03/01/2017] [Accepted: 03/23/2017] [Indexed: 02/06/2023] Open
Abstract
Cardiovascular disease is a leading cause of morbidity and mortality globally. Early diagnostic markers are gaining popularity for better patient care disease outcomes. There is an increasing interest in noninvasive cardiac imaging biomarkers to diagnose subclinical cardiac disease. Feature tracking cardiac magnetic resonance imaging is a novel post-processing technique that is increasingly being employed to assess global and regional myocardial function. This technique has numerous applications in structural and functional diagnostics. It has been validated in multiple studies, although there is still a long way to go for it to become routine standard of care.
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Affiliation(s)
- Zia Ur Rahman
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
| | - Pooja Sethi
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
| | - Ghulam Murtaza
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
| | - Hafeez Ul Hassan Virk
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
| | - Aitzaz Rai
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
| | - Masliza Mahmod
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
| | - Jeffrey Schoondyke
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
| | - Kais Albalbissi
- Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
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Schmidt B, Dick A, Treutlein M, Schiller P, Bunck AC, Maintz D, Baeßler B. Intra- and inter-observer reproducibility of global and regional magnetic resonance feature tracking derived strain parameters of the left and right ventricle. Eur J Radiol 2017; 89:97-105. [DOI: 10.1016/j.ejrad.2017.01.025] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Revised: 01/16/2017] [Accepted: 01/24/2017] [Indexed: 01/01/2023]
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Schuster A, Hor KN, Kowallick JT, Beerbaum P, Kutty S. Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications. Circ Cardiovasc Imaging 2016; 9:e004077. [PMID: 27009468 DOI: 10.1161/circimaging.115.004077] [Citation(s) in RCA: 250] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Accepted: 01/29/2016] [Indexed: 12/14/2022]
Abstract
Heart failure-induced cardiovascular morbidity and mortality constitute a major health problem worldwide and result from diverse pathogeneses, including coronary artery disease, nonischemic cardiomyopathies, and arrhythmias. Assessment of cardiovascular performance is important for early diagnosis and accurate management of patients at risk of heart failure. During the past decade, cardiovascular magnetic resonance myocardial feature tracking has emerged as a useful tool for the quantitative evaluation of cardiovascular function. The method allows quantification of biatrial and biventricular mechanics from measures of deformation: strain, torsion, and dyssynchrony. The purpose of this article is to review the basic principles, clinical applications, accuracy, and reproducibility of cardiovascular magnetic resonance myocardial feature tracking, highlighting the prognostic implications. It will also provide an outlook on how this field might evolve in the future.
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Affiliation(s)
- Andreas Schuster
- From the Department of Cardiology and Pneumology (A.S.) and Institute for Diagnostic and Interventional Radiology (J.T.K.), University Medical Centre Göttingen, Georg-August University, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany (A.S., J.T.K.); Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, KCL, London, United Kingdom (A.S.); The Heart Center at Nationwide Children's Hospital, The Ohio State University, Columbus (K.N.H.); Department of Paediatric Cardiology and Critical Care Medicine, Children's Hospital, Hannover Medical School, Hannover, Germany (P.B.); and Division of Pediatric Cardiology, University of Nebraska Medical Center, Children's Hospital and Medical Center, Omaha (S.K.).
| | - Kan N Hor
- From the Department of Cardiology and Pneumology (A.S.) and Institute for Diagnostic and Interventional Radiology (J.T.K.), University Medical Centre Göttingen, Georg-August University, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany (A.S., J.T.K.); Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, KCL, London, United Kingdom (A.S.); The Heart Center at Nationwide Children's Hospital, The Ohio State University, Columbus (K.N.H.); Department of Paediatric Cardiology and Critical Care Medicine, Children's Hospital, Hannover Medical School, Hannover, Germany (P.B.); and Division of Pediatric Cardiology, University of Nebraska Medical Center, Children's Hospital and Medical Center, Omaha (S.K.)
| | - Johannes T Kowallick
- From the Department of Cardiology and Pneumology (A.S.) and Institute for Diagnostic and Interventional Radiology (J.T.K.), University Medical Centre Göttingen, Georg-August University, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany (A.S., J.T.K.); Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, KCL, London, United Kingdom (A.S.); The Heart Center at Nationwide Children's Hospital, The Ohio State University, Columbus (K.N.H.); Department of Paediatric Cardiology and Critical Care Medicine, Children's Hospital, Hannover Medical School, Hannover, Germany (P.B.); and Division of Pediatric Cardiology, University of Nebraska Medical Center, Children's Hospital and Medical Center, Omaha (S.K.)
| | - Philipp Beerbaum
- From the Department of Cardiology and Pneumology (A.S.) and Institute for Diagnostic and Interventional Radiology (J.T.K.), University Medical Centre Göttingen, Georg-August University, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany (A.S., J.T.K.); Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, KCL, London, United Kingdom (A.S.); The Heart Center at Nationwide Children's Hospital, The Ohio State University, Columbus (K.N.H.); Department of Paediatric Cardiology and Critical Care Medicine, Children's Hospital, Hannover Medical School, Hannover, Germany (P.B.); and Division of Pediatric Cardiology, University of Nebraska Medical Center, Children's Hospital and Medical Center, Omaha (S.K.)
| | - Shelby Kutty
- From the Department of Cardiology and Pneumology (A.S.) and Institute for Diagnostic and Interventional Radiology (J.T.K.), University Medical Centre Göttingen, Georg-August University, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany (A.S., J.T.K.); Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, KCL, London, United Kingdom (A.S.); The Heart Center at Nationwide Children's Hospital, The Ohio State University, Columbus (K.N.H.); Department of Paediatric Cardiology and Critical Care Medicine, Children's Hospital, Hannover Medical School, Hannover, Germany (P.B.); and Division of Pediatric Cardiology, University of Nebraska Medical Center, Children's Hospital and Medical Center, Omaha (S.K.)
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Streiff C, Zhu M, Shimada E, Sahn DJ, Ashraf M. Mitigation of Variability among 3D Echocardiography-Derived Regional Strain Values Acquired by Multiple Ultrasound Systems by Vendor Independent Analysis. PLoS One 2016; 11:e0153634. [PMID: 27149685 PMCID: PMC4858214 DOI: 10.1371/journal.pone.0153634] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 04/01/2016] [Indexed: 11/25/2022] Open
Abstract
Introduction This study compared the variability of 3D echo derived circumferential and longitudinal strain values computed from vendor-specific and vendor-independent analyses of images acquired using ultrasound systems from different vendors. Methods Ten freshly harvested porcine hearts were studied. Each heart was mounted on a custom designed phantom and driven to simulate normal cardiac motion. Cardiac rotation was digitally controlled and held constant at 5°, while pumped stroke volume (SV) ranged from 30-70ml. Full-volume image data was acquired using three different ultrasound systems from different vendors. The image data was analyzed for longitudinal and circumferential strains (LS, CS) using both vendor-specific and vendor-independent analysis packages. Results Good linear relationships were observed for each vendor-specific analysis package for both CS and LS at the mid-anterior segment, with correlation coefficients ranging from 0.82–0.91 (CS) and 0.86–0.89 (LS). Comparable linear regressions were observed for results determined by a vendor independent program (CS: R = 0.82–0.89; LS: R = 0.86–0.89). Variability between analysis packages was examined via a series of ANOVA tests. A statistical difference was found between vendor-specific analysis packages (p<0.001), while no such difference was observed between ultrasound systems when using the vendor-independent program (p>0.05). Conclusions Circumferential and longitudinal regional strain values differ when quantified by vendor-specific analysis packages; however, this variability is mitigated by use of a vendor-independent quantification method. These results suggest that echocardiograms acquired using different ultrasound systems could be meaningfully compared using vendor-independent software.
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Affiliation(s)
- Cole Streiff
- Oregon Health & Science University, Portland, Oregon, United States of America
| | - Meihua Zhu
- Oregon Health & Science University, Portland, Oregon, United States of America
| | - Eriko Shimada
- Oregon Health & Science University, Portland, Oregon, United States of America
| | - David J. Sahn
- Oregon Health & Science University, Portland, Oregon, United States of America
| | - Muhammad Ashraf
- Oregon Health & Science University, Portland, Oregon, United States of America
- * E-mail:
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Lin K, Collins JD, Chowdhary V, Markl M, Carr JC. Heart deformation analysis: measuring regional myocardial velocity with MR imaging. Int J Cardiovasc Imaging 2016; 32:1103-11. [PMID: 27076222 DOI: 10.1007/s10554-016-0879-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 03/15/2016] [Indexed: 01/01/2023]
Abstract
The aim of the present study was to test the hypothesis that heart deformation analysis (HDA) may serve as an alternative for the quantification of regional myocardial velocity. Nineteen healthy volunteers (14 male and 5 female) without documented cardiovascular diseases were recruited following the approval of the institutional review board (IRB). For each participant, cine images (at base, mid and apex levels of the left ventricle [LV]) and tissue phase mapping (TPM, at same short-axis slices of the LV) were acquired within a single magnetic resonance (MR) scan. Regional myocardial velocities in radial and circumferential directions acquired with HDA (Vrr and Vcc) and TPM (Vr and VФ) were measured during the cardiac cycle. HDA required shorter processing time compared to TPM (2.3 ± 1.1 min/case vs. 9.5 ± 3.7 min/case, p < 0.001). Moderate to good correlations between velocity components measured with HDA and TPM could be found on multiple myocardial segments (r = 0.460-0.774) and slices (r = 0.409-0.814) with statistical significance (p < 0.05). However, significant biases of velocity measures at regional myocardial areas between HDA and TPM were also noticed. By providing comparable velocity measures as TPM does, HDA may serve as an alternative for measuring regional myocardial velocity with a faster image processing procedure.
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Affiliation(s)
- Kai Lin
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA.
| | - Jeremy D Collins
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA
| | - Varun Chowdhary
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA
| | - James C Carr
- Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA
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Ballo P, Nistri S, Bocelli A, Mele D, Dini FL, Galderisi M, Zuppiroli A, Mondillo S. A new method to estimate left ventricular circumferential midwall systolic function by standard echocardiography: Concordance between models and validation by speckle tracking. Int J Cardiol 2016; 203:947-58. [DOI: 10.1016/j.ijcard.2015.11.051] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 11/03/2015] [Accepted: 11/05/2015] [Indexed: 12/27/2022]
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Ohyama Y, Ambale-Venkatesh B, Chamera E, Shehata ML, Corona-Villalobos CP, Zimmerman SL, Hassoun PM, Bluemke DA, Lima JA. Comparison of strain measurement from multimodality tissue tracking with strain-encoding MRI and harmonic phase MRI in pulmonary hypertension. Int J Cardiol 2015; 182:342-348. [DOI: 10.1016/j.ijcard.2015.01.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Revised: 12/02/2014] [Accepted: 01/04/2015] [Indexed: 10/24/2022]
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Buss SJ, Krautz B, Hofmann N, Sander Y, Rust L, Giusca S, Galuschky C, Seitz S, Giannitsis E, Pleger S, Raake P, Most P, Katus HA, Korosoglou G. Prediction of functional recovery by cardiac magnetic resonance feature tracking imaging in first time ST-elevation myocardial infarction. Comparison to infarct size and transmurality by late gadolinium enhancement. Int J Cardiol 2015; 183:162-70. [PMID: 25675901 DOI: 10.1016/j.ijcard.2015.01.022] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 12/23/2014] [Accepted: 01/04/2015] [Indexed: 12/18/2022]
Abstract
PURPOSE To investigate whether myocardial deformation imaging, assessed by feature tracking cardiac magnetic resonance (FTI-CMR), would allow objective quantification of myocardial strain and estimation of functional recovery in patients with first time ST-elevation myocardial infarction (STEMI). METHODS Cardiac magnetic resonance (CMR) imaging was performed in 74 consecutive patients 2-4 days after successfully reperfused STEMI, using a 1.5T CMR scanner (Philips Achieva). Peak systolic circumferential and longitudinal strains were measured using the FTI applied to SSFP cine sequences and were compared to infarct size, determined by late gadolinium enhancement (LGE). Follow-up CMR at 6 months was performed in order to assess residual ejection fraction, which deemed as the reference standard for the estimation of functional recovery. RESULTS During the follow-up period 53 of 74 (72%) patients exhibited preserved residual ejection fraction ≥50%. A cut-off value of -19.3% for global circumferential strain identified patients with preserved ejection fraction ≥50% at follow-up with sensitivity of 76% and specificity of 85% (AUC=0.86, 95% CI=0.75-0.93, p<0.001), which was superior to that provided by longitudinal strain (ΔAUC=0.13, SE=0.05, z-statistic=2.5, p=0.01), and non-inferior to that provided by LGE (ΔAUC=0.07, p=NS). Multivariate analysis showed that global circumferential strain and LGE exhibited independent value for the prediction of preserved LV-function, surpassing that provided by age, diabetes and baseline ejection fraction (HR=1.4, 95% CI=1.0-1.9 and HR=1.4, 95% CI=1.1-1.7, respectively, p<0.05 for both). CONCLUSIONS Estimation of circumferential strain by FTI provides objective assessment of infarct size without the need for contrast agent administration and estimation of functional recovery with non-inferior accuracy compared to that provided by LGE.
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Affiliation(s)
- Sebastian J Buss
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Birgit Krautz
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Nina Hofmann
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Yannick Sander
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Lukas Rust
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Sorin Giusca
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | | | - Sebastian Seitz
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Sven Pleger
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Philip Raake
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Patrick Most
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Hugo A Katus
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany
| | - Grigorios Korosoglou
- Department of Cardiology, University of Heidelberg, INF 410, 69120 Heidelberg, Germany.
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