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Larios G, Uribe S, Trincado C, Arancibia-Galilea F, Valderrama P, Espejo JP, Amezquita MV, Barja S. Myocardial function, mechanics and work by echocardiography in adolescents with severe obesity. Cardiovasc Endocrinol Metab 2024; 13:e0301. [PMID: 38706533 PMCID: PMC11068145 DOI: 10.1097/xce.0000000000000301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/18/2024] [Indexed: 05/07/2024]
Abstract
Introduction Obesity and its metabolic complications can impact the heart's structure and function in childhood, although demonstrating this impact has been challenging. New echocardiographic parameters such as left atrial strain (LAε) and left ventricular strain (LVε), as well as myocardial work (MW), could reveal subclinical alterations in cardiac function. Objective The aim is to evaluate the feasibility of these parameters in adolescents with severe obesity and explore their associations with body fat, metabolic comorbidities, and physical capacity. Methods This is a cross-sectional study in adolescents with obesity who underwent echocardiography with analysis of LAε, LVε and MW using speckle tracking. Feasibility and association with anthropometry, body fat percentage, comorbidities and cardiopulmonary test were analyzed. Results Twenty adolescents were recruited, 13 (65%) were males, median age 14.2 (interquartile range: 12.9-14.9) years old. The median Z-score for BMI (zBMI) was +3.03 (2.87-3.14), 14 (70%) had severe obesity (zBMI ≥+3), 12 (60%) body fat ≥95th percentile, 9 (45%) high blood pressure (HBP) and 8 (40%) metabolic syndrome. The analysis of the echocardiographic parameters was feasible in 95% (LAε) and 100% (LVε and MW). LVε was lower in adolescents with vs. without metabolic syndrome: 17.8% (17.5-19.3%) vs. 19.3% (18.3-20.3%), P = 0.046; and with vs. without HBP 17.8% (17.5-18.6%) vs. 19.7% (18.4-20.3%), P = 0.02. Those with body fat ≥95th percentile had lower LAε and MW parameters, without association with cardiopulmonary test. Conclusion Echocardiographic evaluation of LAε, LVε and MW is feasible in adolescents with severe obesity. A higher proportion of body fat and the presence of comorbidities are associated with alterations in these new echocardiographic functional parameters suggesting myocardial impact of higher metabolic compromise.
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Affiliation(s)
- Guillermo Larios
- Division of Pediatrics, Department of Pediatric Cardiology, Pontificia Universidad Católica de Chile
| | - Sergio Uribe
- Department of Medical Imaging and Radiation Sciences, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University
| | - Claudia Trincado
- Division of Pediatrics, Department of Pediatric Cardiology, Pontificia Universidad Católica de Chile
| | | | - Paulo Valderrama
- Division of Pediatrics, Department of Pediatric Cardiology, Pontificia Universidad Católica de Chile
| | - Juan Pablo Espejo
- School of Nutrition and Dietetics, Pontificia Universidad Católica de Chile
| | - María Virginia Amezquita
- Division of Pediatrics, Department of Pediatric Gastroenterology and Nutrition, Pontificia Universidad Católica de Chile
| | - Salesa Barja
- Division of Pediatrics, Department of Pediatric Gastroenterology and Nutrition, Pontificia Universidad Católica de Chile
- Josefina Martinez Hospital, Santiago, Chile
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Zhu X, Shi Y, Lian J, Shen H, Li L, Wu H, Tian Y, Liu P. Left atrial and left ventricular strain in feature-tracking cardiac magnetic resonance for predicting patients at high risk of sudden cardiac death in hypertrophic cardiomyopathy. Quant Imaging Med Surg 2024; 14:3544-3556. [PMID: 38720852 PMCID: PMC11074751 DOI: 10.21037/qims-23-1615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 03/13/2024] [Indexed: 05/12/2024]
Abstract
Background Sudden cardiac death (SCD) represents the most severe complication of hypertrophic cardiomyopathy (HCM). The risk stratification of SCD in patients with HCM remains a subject of ongoing debate, and the utility of left atrial (LA) and left ventricular (LV) myocardial strain for risk stratification of also SCD remains uncertain. Through use of feature-tracking cardiac magnetic resonance (FT-CMR), this study aimed to investigate the attenuation of LA and LV strain in HCM and to assess their predictive value in SCD. Methods This retrospective and cross-sectional study included patients with HCM who underwent 3.0 T cardiac magnetic resonance (CMR) at a single institution. Feature-tracking strain analysis was conducted to obtain the strain rate (SR) and LV strain and to evaluate LV function. LA strain was measured during different functional phases including left atrial reservoir strain (LARS), LA conduit strain (LACS), and LA booster strain. All patients were categorized into high- and low-risk groups for SCD as defined by the 2020 American Heart Association/American College HCM implantable cardioverter defibrillator class of recommendation algorithm. Comparison between the two groups was conducted using the independent samples t test and the nonparametric rank sum test. Multivariate logistic regression analysis was performed to further identify the factors influencing SCD risk in HCM. Results Compared with those in the low-risk group, patients in the high-risk group had lower left ventricular ejection fraction (LVEF), LV stroke volume index (LVSVI), and LA stroke volume index (LASVI) but a higher LV end-systolic volume index (LVESVI), LV maximum wall thickness, and late gadolinium enhancement (LGE) (P<0.001). LV strain, SR, and LA strain all showed significant differences between the high- and low-risk groups (LARS: P=0.04; LACS: P=0.02; all other P values <0.001). The LV global circumferential strain (LVGCS) had a strong negative correlation with LVEF in patients with HCM (r=-0.76; P<0.001). Multivariate analysis showed that LV global radial strain (LVGRS) and LARS could be used for categorizing the patients into the high-risk group [LVGRS: odds ratio (OR) =0.69; 95% confidence interval (CI): 0.55-0.87, P<0.001; LARS: OR =1.39; 95% CI: 1.02-1.90, P=0.03]. The combined LVGRS-LARS model exhibited a superior diagnostic value for high risk of SCD [area under the curve (AUC) =0.95; 95% CI: 0.90-1.00; P<0.001] compared to LARS alone (AUC =0.63; 95% CI: 0.51-0.76; P=0.04). Conclusions LA and LV strain measured by FT-CMR can accurately identify those patients with HCM at a high risk of SCD. This approach may prove considerably value in guiding early therapeutic intervention with implantable cardioverter-defibrillators (ICDs) to prevent adverse clinical outcomes.
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Affiliation(s)
- Xinyu Zhu
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ying Shi
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Honghu Shen
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lulu Li
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Haishan Wu
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yuan Tian
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Pengfei Liu
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
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Xu K, Xu R, Xu HY, Xie LJ, Yang ZG, Fu H, Bai W, Zhang L, Zhou XY, Guo YK. Free-Breathing Compressed Sensing Cine Cardiac MRI for Assessment of Left Ventricular Strain by Feature Tracking in Children. J Magn Reson Imaging 2024; 59:1832-1840. [PMID: 37681476 DOI: 10.1002/jmri.29003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Cardiac MRI feature-tracking (FT) with breath-holding (BH) cine balanced steady state free precession (bSSFP) imaging is well established. It is unclear whether FT-strain measurements can be reliably derived from free-breathing (FB) compressed sensing (CS) bSSFP imaging. PURPOSE To compare left ventricular (LV) strain analysis and image quality of an FB CS bSSFP cine sequence with that of a conventional BH bSSFP sequence in children. STUDY TYPE Prospective. SUBJECTS 40 children able to perform BHs (cohort 1 [12.1 ± 2.2 years]) and 17 children unable to perform BHs (cohort 2 [5.2 ± 1.8 years]). FIELD STRENGTH/SEQUENCE 3T, bSSFP sequence with and without CS. ASSESSMENT Acquisition times and image quality were assessed. LV myocardial deformation parameters were compared between BH cine and FB CS cine studies in cohort 1. Strain indices and image quality of FB CS cine studies were also assessed in cohort 2. Intraobserver and interobserver variability of strain parameters was determined. STATISTICAL TESTS Paired t-test, Wilcoxon signed-rank test, intraclass correlation coefficient (ICC), and Bland-Altman analysis. A P-value <0.05 was considered statistically significant. RESULTS In cohort 1, the mean acquisition time of the FB CS cine study was significantly lower than for conventional BH cine study (15.6 s vs. 209.4 s). No significant difference were found in global circumferential strain rate (P = 0.089), global longitudinal strain rate (P = 0.366) and EuroCMR image quality scores (P = 0.128) between BH and FB sequences in cohort 1. The overall image quality score of FB CS cine in cohort 2 was 3.5 ± 0.5 with acquisition time of 14.7 ± 2.1 s. Interobserver and intraobserver variabilities were good to excellent (ICC = 0.810 to 0.943). DATA CONCLUSION FB CS cine imaging may be a promising alternative technique for strain assessment in pediatric patients with poor BH ability. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Ke Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Rong Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Hua-Yan Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Lin-Jun Xie
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Hang Fu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Wei Bai
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Lu Zhang
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xiao-Yue Zhou
- Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
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Zhu X, Tian Y, Shi Y, Lian J, Shen H, Li L, Wu H, Liu P. The Feasibility of Left Ventricular Strain and Strain Rate for Evaluating Hypertrophic Cardiomyopathy with Risk Factors of Sudden Cardiac Death by Feature-Tracking CMR. Am J Cardiol 2024; 222:51-57. [PMID: 38642869 DOI: 10.1016/j.amjcard.2024.04.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/26/2024] [Accepted: 04/15/2024] [Indexed: 04/22/2024]
Abstract
Sudden cardiac death (SCD) represents the most severe complication of hypertrophic cardiomyopathy (HCM). However, the relation between strain, strain rate (SR), and risk factors in SCD risk stratification remains elusive. The study aimed to assess the attenuation of strain and SR in HCM by feature tracking cardiac magnetic resonance. All strain and SRs were obtained automatically by feature tracking, with manual adjustment of endocardial and epicardial borders. Strain indicators included left ventricular global longitudinal, circumferential, global radial strain (GRS), peak diastolic-longitudinal, circumferential, and radial SR. Patients were categorized into high-risk and low-risk groups for SCD based on the 2020 American Heart Association/American College HCM risk-SCD model. The correlation between strain/SR and SCD risk factors was assessed through Spearman correlation analysis. Furthermore, a multivariate logistic regression analysis was conducted to explore the factors that influence SCD risk in HCM patients. A total of 105 HCM patients were analyzed in this study, including 38 patients in the high-risk group, and 67 patients in the low-risk group. Compared with the low-risk group, the high-risk group exhibited significantly worse strain and SR (p <0.001). Furthermore, both circumferential and GRS and SR exhibited meaningful associations with risk factors for SCD. Additionally, GRS emerged as an independent risk factor for predicting heightened SCD risk in HCM patients (p <0.001). In conclusion, left ventricular strain and SR based on feature tracking-cardiac magnetic resonance can be evaluated for SCD risk and are strongly associated with SCD risk factors.
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Affiliation(s)
- Xinyu Zhu
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yuan Tian
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ying Shi
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jianxiu Lian
- Clinical & Technical Support, Philips Healthcare, Beijing, China
| | - Honghu Shen
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lulu Li
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Haishan Wu
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Pengfei Liu
- Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
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Yang W, Xu J, Zhu L, Zhang Q, Wang Y, Zhao S, Lu M. Myocardial Strain Measurements Derived From MR Feature-Tracking: Influence of Sex, Age, Field Strength, and Vendor. JACC Cardiovasc Imaging 2024; 17:364-379. [PMID: 37480906 DOI: 10.1016/j.jcmg.2023.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Cardiac magnetic resonance feature tracking (CMR-FT) is a novel technique for assessing myocardial deformation and dysfunction. However, a comprehensive assessment of normal values of strain parameters in all 4 cardiac chambers using different vendors is lacking. OBJECTIVES This study aimed to characterize the normal values for myocardial strain in all 4 cardiac chambers and identify factors that contribute to variations in FT strain through a systematic review and meta-analysis of the CMR-FT published reports. METHODS The investigators searched PubMed, Embase, and Scopus for myocardial strains of all 4 chambers measured by CMR-FT in healthy adults. The pooled means of all strain parameters were generated using a random-effects model. Subgroup analyses and meta-regressions were performed to identify the sources of variations. RESULTS This meta-analysis included 44 studies with a total of 3,359 healthy subjects. The pooled means of left ventricular global longitudinal strain (LV-GLS), LV global radial strain, and LV global circumferential strain (GCS) were -18.4% (95% CI: -19.2% to -17.6%), 43.7% (95% CI: 40.0%-47.4%), and -21.4% (95% CI: -22.3% to -20.6%), respectively. The pooled means of left atrial (LA)-GLS (corresponding to total strain, passive strain, and active strain) were 34.9% (95% CI: 29.6%-40.2%), 21.3% (95% CI: 16.6%-26.1%) and 14.3% (95% CI: 11.8%-16.8%), respectively. The pooled means of right ventricular (RV)-GLS and right atrial global longitudinal total strain were -24.0% (95% CI: -25.8% to -22.1%) and 36.3% (95% CI: 15.5%-57.0%), respectively. Meta-regression identified field strength (P < 0.001; I2 = 98.6%) and FT vendor (P < 0.001; I2 = 98.5%) as significant confounders contributing to heterogeneity of LV-GLS. The variations of LA-GLSactive were associated with regional distribution (P < 0.001; I2 = 97.3%) and FT vendor (P < 0.001; I2 = 97.4%). Differences in FT vendor were attributed to variations of LV-GCS and RV-GLS (P = 0.02; I2 = 98.8% and P = 0.01; I2 = 93.8%). CONCLUSIONS This study demonstrated the normal values of CMR-FT strain parameters in all 4 cardiac chambers in healthy subjects. Differences in FT vendor contributed to the heterogeneity of LV-GLS, LV-GCS, LA-GLSactive, and RV-GLS, whereas sex, age, and MR vendor had no effect on the normal values of CMR-FT strain measurements.
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Affiliation(s)
- Wenjing Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Xu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Leyi Zhu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qiang Zhang
- Oxford Centre for Clinical Magnetic Resonance Research, John Radcliffe Hospital, National Institute for Health Research Oxford Biomedical Research Centre, Oxford British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Yining Wang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, China.
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, 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, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China.
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Cau R, Pisu F, Pintus A, Palmisano V, Montisci R, Suri JS, Salgado R, Saba L. Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach. Eur Radiol 2024:10.1007/s00330-024-10640-8. [PMID: 38451322 DOI: 10.1007/s00330-024-10640-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 12/11/2023] [Accepted: 01/15/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE This work aimed to derive a machine learning (ML) model for the differentiation between ischemic cardiomyopathy (ICM) and non-ischemic cardiomyopathy (NICM) on non-contrast cardiovascular magnetic resonance (CMR). METHODS This retrospective study evaluated CMR scans of 107 consecutive patients (49 ICM, 58 NICM), including atrial and ventricular strain parameters. We used these data to compare an explainable tree-based gradient boosting additive model with four traditional ML models for the differentiation of ICM and NICM. The models were trained and internally validated with repeated cross-validation according to discrimination and calibration. Furthermore, we examined important variables for distinguishing between ICM and NICM. RESULTS A total of 107 patients and 38 variables were available for the analysis. Of those, 49 were ICM (34 males, mean age 60 ± 9 years) and 58 patients were NICM (38 males, mean age 56 ± 19 years). After 10 repetitions of the tenfold cross-validation, the proposed model achieved the highest area under curve (0.82, 95% CI [0.47-1.00]) and lowest Brier score (0.19, 95% CI [0.13-0.27]), showing competitive diagnostic accuracy and calibration. At the Youden's index, sensitivity was 0.72 (95% CI [0.68-0.76]), the highest of all. Analysis of predictions revealed that both atrial and ventricular strain CMR parameters were important for the identification of ICM patients. CONCLUSION The current study demonstrated that using a ML model, multi chamber myocardial strain, and function on non-contrast CMR parameters enables the discrimination between ICM and NICM with competitive diagnostic accuracy. CLINICAL RELEVANCE STATEMENT A machine learning model based on non-contrast cardiovascular magnetic resonance parameters may discriminate between ischemic and non-ischemic cardiomyopathy enabling wider access to cardiovascular magnetic resonance examinations with lower costs and faster imaging acquisition. KEY POINTS • The exponential growth in cardiovascular magnetic resonance examinations may require faster and more cost-effective protocols. • Artificial intelligence models can be utilized to distinguish between ischemic and non-ischemic etiologies. • Machine learning using non-contrast CMR parameters can effectively distinguish between ischemic and non-ischemic cardiomyopathies.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy
| | - Francesco Pisu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy
| | - Alessandra Pintus
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy
| | | | - Roberta Montisci
- Department of Cardiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy
| | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
| | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy.
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Petersen A, Nagel SN, Hamm B, Elgeti T, Schaafs LA. The influence of left bundle branch block on myocardial T1 mapping. Sci Rep 2024; 14:5379. [PMID: 38438510 PMCID: PMC10912434 DOI: 10.1038/s41598-024-55821-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/28/2024] [Indexed: 03/06/2024] Open
Abstract
Tissue characterisation using T1 mapping has become an established magnetic resonance imaging (MRI) technique to detect myocardial diseases. This retrospective study aimed to determine the influence of left bundle branch block (LBBB) on T1 mapping at 1.5 T. Datasets of 36 patients with LBBB and 27 healthy controls with T1 mapping (Modified Look-Locker inversion-recovery (MOLLI), 5(3)3 sampling) were included. T1 relaxation times were determined on mid-cavity short-axis images. R2 maps were generated as a pixel-wise indicator for the goodness of the fit of T1 maps. R2 values were significantly lower in patients with LBBB than in healthy controls (whole myocardium/septum, 0.997, IQR, 0.00 vs. 0.998, IQR, 0.00; p = 0.008/0.998, IQR, 0.00 vs. 0.999, IQR, 0.00; p = 0.027). Manual correction of semi-automated evaluation tended to improve R2 values but not significantly. Strain analysis was performed and the systolic dyssynchrony index (SDIglobal) was calculated as a measure for left ventricular dyssynchrony. While MRI is generally prone to artefacts, lower goodness of the fit in LBBB may be mainly attributable to asynchronous contraction. Therefore, careful checking of the source data and, if necessary, manual post-processing is important. New techniques might improve the goodness of the fit of T1 mapping by reducing sampling in the motion prone diastole of LBBB patients.
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Affiliation(s)
- Antonia Petersen
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
| | - Sebastian Niko Nagel
- Academic Department of Diagnostic and Interventional Radiology and Paediatric Radiology, Protestant Hospital of the Bethel Foundation, Bielefeld University, Medical School and University Medical Center East Westphalia-Lippe, Burgsteig 13, 33617, Bielefeld, Germany
| | - Bernd Hamm
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Thomas Elgeti
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Lars-Arne Schaafs
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
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Halfmann MC, Klimzak T, Schoepf UJ, Kloeckner R, Chitiboi T, Schmidt M, Wenzel P, Müller L, Geyer M, Varga-Szemes A, Kreitner KF, Dueber C, Emrich T. Feature-Tracking Strain Parameters Differ Between Highly Accelerated and Conventional Acquisitions: A Multisoftware Assessment. J Thorac Imaging 2024; 39:127-135. [PMID: 37982533 DOI: 10.1097/rti.0000000000000762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
BACKGROUND Cardiac magnetic resonance imaging protocols have been adapted to fit the needs for faster, more efficient acquisitions, resulting in the development of highly accelerated, compressed sensing-based (CS) sequences. The aim of this study was to evaluate intersoftware and interacquisition differences for postprocessing software applied to both CS and conventional cine sequences. MATERIALS AND METHODS A total of 106 individuals (66 healthy volunteers, 40 patients with dilated cardiomyopathy, 51% female, 38±17 y) underwent cardiac magnetic resonance at 3T with retrospectively gated conventional cine and CS sequences. Postprocessing was performed using 2 commercially available software solutions and 1 research prototype from 3 different developers. The agreement of clinical and feature-tracking strain parameters between software solutions and acquisition types was assessed by Bland-Altmann analyses and intraclass correlation coefficients. Differences between softwares and acquisitions were assessed using Kruskal-Wallis analysis of variances. In addition, receiver operating characteristic curve-derived cutoffs were used to evaluate whether sequence-specific cutoffs influence disease classification. RESULTS There were significant intersoftware ( P <0.002 for all except LV end-diastolic volume per body surface area) and interacquisition differences ( P <0.02 for all except end-diastolic volume per body surface area from Neosoft, left ventricular mass per body surface area from cvi42 and TrufiStrain and global circumferential strain from Neosoft). However, the intraclass correlation coefficients between acquisitions were strong-to-excellent for all parameters (all ≥0.81). In comparing individual softwares to a pooled mean, Bland-Altmann analyses revealed smaller magnitudes of bias for cine acquisition than for CS acquisition. In addition, the application of conventional cutoffs to CS measurements did not result in the false reclassification of patients. CONCLUSION Significantly lower magnitudes of strain and volumetric parameters were observed in retrospectively gated CS acquisitions, despite strong-to-excellent agreement amongst software solutions and acquisition types. It remains important to be aware of the acquisition type in the context of follow-up examinations, where different cutoffs might lead to misclassifications.
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Affiliation(s)
- Moritz C Halfmann
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main
| | - Tim Klimzak
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC
| | - Roman Kloeckner
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University
- Department for Interventional Radiology, University Hospital of Lübeck, Lübeck
| | | | | | - Philip Wenzel
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main
- Department of Cardiology, University Medical Center Mainz-Center of Cardiology, Johannes Gutenberg University, Mainz
| | - Lukas Müller
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University
| | - Martin Geyer
- Department of Cardiology, University Medical Center Mainz-Center of Cardiology, Johannes Gutenberg University, Mainz
| | - Akos Varga-Szemes
- Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC
| | - Karl-Friedrich Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University
| | - Christoph Dueber
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University
| | - Tilman Emrich
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main
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9
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Santos MR, Silva MS, Guerreiro SL, Gomes DA, Rocha BM, Cunha GL, Freitas PN, Abecasis JM, Santos AC, Saraiva CC, Mendes M, Ferreira AM. Assessment of myocardial strain patterns in patients with left bundle branch block using cardiac magnetic resonance. Int J Cardiovasc Imaging 2024:10.1007/s10554-024-03049-3. [PMID: 38376720 DOI: 10.1007/s10554-024-03049-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/05/2024] [Indexed: 02/21/2024]
Abstract
Recently, a classification with four types of septal longitudinal strain patterns was described using echocardiography, suggesting a pathophysiological continuum of left bundle branch block (LBBB)-induced left ventricle (LV) remodeling. The aim of this study was to assess the feasibility of classifying these strain patterns using cardiovascular magnetic resonance (CMR), and to evaluate their association with LV remodeling and myocardial scar. Single center registry included LBBB patients with septal flash (SF) referred to CMR to assess the cause of LV systolic dysfunction. Semi-automated feature-tracking cardiac resonance (FT-CMR) was used to quantify myocardial strain and detect the four strain patterns. A total of 115 patients were studied (age 66 ± 11 years, 57% men, 28% with ischemic heart disease). In longitudinal strain analysis, 23 patients (20%) were classified in stage LBBB-1, 37 (32.1%) in LBBB-2, 25 (21.7%) in LBBB-3, and 30 (26%) in LBBB-4. Patients at higher stages had more prominent septal flash, higher LV volumes, lower LV ejection fraction, and lower absolute strain values (p < 0.05 for all). Late gadolinium enhancement (LGE) was found in 55% of the patients (n = 63). No differences were found between the strain patterns regarding the presence, distribution or location of LGE. Among patients with LBBB, there was a good association between strain patterns assessed by FT-CMR analysis and the degree of LV remodeling and LV dysfunction. This association seems to be independent from the presence and distribution of LGE.
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Affiliation(s)
- Marina Raquel Santos
- Hospital Dr. Nélio Mendonça, Funchal, Portugal.
- CHLO - Hospital de Santa Cruz, Lisbon, Portugal.
| | - Mariana Santos Silva
- CHLO - Hospital de Santa Cruz, Lisbon, Portugal
- Centro Hospitalar Barreiro/Montijo, Setúbal, Portugal
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10
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Coorens NA, Janssen N, Daemen JHT, Franssen AJPM, Hulsewé KWE, Vissers YLJ, de Loos ER. Advancements in preoperative imaging of pectus excavatum: a comprehensive review. J Thorac Dis 2024; 16:696-707. [PMID: 38410537 PMCID: PMC10894368 DOI: 10.21037/jtd-23-662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 12/04/2023] [Indexed: 02/28/2024]
Abstract
Pectus excavatum, the most common pectus deformity, varies in severity and has been associated with cardiopulmonary impairment and psychological distress. Since its initial documentation, a multitude of imaging techniques for preoperative evaluation (i.e., diagnosis, severity classification, functional assessment, and surgical planning) have been reported. Conventional imaging techniques encompass computed tomography (CT), chest radiography, magnetic resonance imaging (MRI), echocardiography and medical photography, while three dimensional (3D) optical surface imaging is a promising emerging technique in the preoperative assessment of pectus excavatum. This narrative review explores the current insights and advancements of these imaging modalities. CT imaging allows for the calculation of pectus indices and evaluation of cardiac compression and displacement. Recent developments focus on automated calculations, minimizing radiation exposure and improving surgical planning. Chest radiography offers a radiation-reducing alternative for pectus index measurement, but is unsuitable for disproportionally asymmetric chest deformations. MRI is a radiation-free imaging method, and allows for the calculation of pectus indices as well as the assessment of cardiac function. Real-time MRI provides dynamic insights, while exercise MRI shows promise for comprehensive evaluation of cardiac function but requires additional developments. Using echocardiography, structural cardiac changes can be identified, but its use in evaluating cardiac function in pectus excavatum patients is limited. Medical photography combined with caliper measurements complements other imaging methods for qualitative and quantitative documentation of pectus excavatum. Emerging as an innovative technique, 3D optical surface imaging offers a rapid, radiation-free assessment of the deformity which correlates with conventional pectus indices. Potential applications include quantifying other morphological features and predicting cardiac compression. However, standardization and validation are needed for its widespread use. This review provides an overview of preoperative imaging of pectus excavatum, highlighting the current developments in conventional methods and the potential of the emerging 3D optical surface imaging technique. These advancements hold promise for the future of the assessment and surgical planning of pectus excavatum.
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Affiliation(s)
- Nadine A Coorens
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Nicky Janssen
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Jean H T Daemen
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Aimée J P M Franssen
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Karel W E Hulsewé
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Yvonne L J Vissers
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Erik R de Loos
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center, Heerlen, The Netherlands
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11
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Wang F, Pu C, Ma S, Zhou J, Jiang Y, Yu F, Zhang S, Wu Y, Zhang L, He C, Hu H. The effects of flip angle and gadolinium contrast agent on single breath-hold compressed sensing cardiac magnetic resonance cine for biventricular global strain assessment. Front Cardiovasc Med 2024; 11:1286271. [PMID: 38347952 PMCID: PMC10859435 DOI: 10.3389/fcvm.2024.1286271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/18/2024] [Indexed: 02/15/2024] Open
Abstract
Background Due to its potential to significantly reduce scanning time while delivering accurate results for cardiac volume function, compressed sensing (CS) has gained traction in cardiovascular magnetic resonance (CMR) cine. However, further investigation is necessary to explore its feasibility and impact on myocardial strain results. Materials and methods A total of 102 participants [75 men, 46.5 ± 17.1 (SD) years] were included in this study. Each patient underwent four consecutive cine sequences with the same slice localization, including the reference multi-breath-hold balanced steady-state free precession (bSSFPref) cine, the CS cine with the same flip angle as bSSFPref before (CS45) and after (eCS45) contrast enhancement, and the CS cine (eCS70) with a 70-degree flip angle after contrast enhancement. Biventricular strain parameters were derived from cine images. Two-tailed paired t-tests were used for data analysis. Results Global radial strain (GRS), global circumferential strain (GCS), and global longitudinal strain (GLS) were observed to be significantly lower in comparison to those obtained from bSSFPref sequences for both the right and left ventricles (all p < 0.001). No significant difference was observed on biventricular GRS-LAX (long-axis) and GLS values derived from enhanced and unenhanced CS cine sequences with the same flip angle, but remarkable reductions were noted in GRS-SAX (short-axis) and GCS values (p < 0.001). After contrast injection, a larger flip angle caused a significant elevation in left ventricular strain results (p < 0.001) but did not affect the right ventricle. The increase in flip angle appeared to compensate for contrast agent affection on left ventricular GRS-SAX, GCS values, and right ventricular GRS-LAX, GLS values. Conclusion Despite incorporating gadolinium contrast agents and applying larger flip angles, single breath-hold CS cine sequences consistently yielded diminished strain values for both ventricles when compared with conventional cine sequences. Prior to employing this single breath-hold CS cine sequence to refine the clinical CMR examination procedure, it is crucial to consider its impact on myocardial strain results.
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Affiliation(s)
- Fuyan Wang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Cailing Pu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Siying Ma
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Junjie Zhou
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yangyang Jiang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Feidan Yu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | | | - Yan Wu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lingjie Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chengbin He
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Hongjie Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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12
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Cau R, Pisu F, Suri JS, Pontone G, D’Angelo T, Zha Y, Salgado R, Saba L. Atrial and Ventricular Strain Imaging Using CMR in the Prediction of Ventricular Arrhythmia in Patients with Myocarditis. J Clin Med 2024; 13:662. [PMID: 38337355 PMCID: PMC10856157 DOI: 10.3390/jcm13030662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/12/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
(1) Objective: Myocarditis can be associated with ventricular arrhythmia (VA), individual non-invasive risk stratification through cardiovascular magnetic resonance (CMR) is of great clinical significance. Our study aimed to explore whether left atrial (LA) and left ventricle (LV) myocardial strain serve as independent predictors of VA in patients with myocarditis. (2) Methods: This retrospective study evaluated CMR scans in 141 consecutive patients diagnosed with myocarditis based on the updated Lake Louise criteria (29 females, mean age 41 ± 20). The primary endpoint was VA; this encompassed ventricular fibrillation, sustained ventricular tachycardia, nonsustained ventricular tachycardia, and frequent premature ventricular complexes. LA and LV strain function were performed on conventional cine SSFP sequences. (3) Results: After a median follow-up time of 23 months (interquartile range (18-30)), 17 patients with acute myocarditis reached the primary endpoint. In the multivariable Cox regression analysis, LA reservoir (hazard ratio [HR] and 95% confidence interval [CI]: 0.93 [0.87-0.99], p = 0.02), LA booster (0.87 95% CI [0.76-0.99], p = 0.04), LV global longitudinal (1.26 95% CI [1.02-1.55], p = 0.03), circumferential (1.37 95% CI [1.08-1.73], p = 0.008), and radial strain (0.89 95% CI [0.80-0.98], p = 0.01) were all independent determinants of VA. Patients with LV global circumferential strain > -13.3% exhibited worse event-free survival compared to those with values ≤ -13.3% (p < 0.0001). (4) Conclusions: LA and LV strain mechanism on CMR are independently associated with VA events in patients with myocarditis, independent to LV ejection fraction, and late gadolinium enhancement location. Incorporating myocardial strain parameters into the management of myocarditis may improve risk stratification.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
| | - Francesco Pisu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
| | - Jasjit S. Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA 95661, USA;
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy;
| | - Tommaso D’Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, G. Martino University Hospital, University of Messina, 98124 Messina, Italy;
- Department of Radiology and Nuclear Medicine, Erasmus MC, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Yunfei Zha
- Department of Radiology, Renmin Hospital of Wuhan University, Hubei General Hospital, Wuhan 430064, China;
| | - Rodrigo Salgado
- Department of Radiology, Universitair Ziekenhuis Antwerpen, 2650 Edegem, Belgium;
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari—Polo di Monserrato s.s. 554 Monserrato, 09045 Cagliari, Italy;
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13
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Koehler S, Kuhm J, Huffaker T, Young D, Tandon A, André F, Frey N, Greil G, Hussain T, Engelhardt S. Artificial Intelligence to derive aligned strain in cine CMR to detect patients with myocardial fibrosis: an open and scrutinizable approach. Res Sq 2024:rs.3.rs-3785677. [PMID: 38260274 PMCID: PMC10802696 DOI: 10.21203/rs.3.rs-3785677/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Cine Cardiac Magnetic Resonance (CMR) is the gold standard for cardiac function evaluation, incorporating ejection fraction (EF) and strain as vital indicators of abnormal deformation. Rare pathologies like Duchenne muscular dystrophies (DMD) are monitored with repeated late gadolinium-enhanced (LGE) CMR for identification of myocardial fibrosis. However, it is judicious to reduce repeated gadolinium exposure and rather employ strain analysis from cine CMR. This solution is limited so far since full strain curves are not comparable between individual cardiac cycles and current practice mainly neglects diastolic deformation patterns. Our novel Deep Learning-based approach derives strain values aligned by key frames throughout the cardiac cycle. In a reproducibility scenario (57+82 patients), our results reveal five times more significant differences (22 vs. 4) between patients with scar and without, enhancing scar detection by +30%, improving detection of patients with preserved EF by +61%, with an overall sensitivity/specificity of 82/81%.
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Affiliation(s)
- Sven Koehler
- Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Cardiovascular Research (DZHK), Partnersites Heidelberg and Mannheim, Germany
- University Heidelberg, Heidelberg, Germany
| | - Julian Kuhm
- Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Cardiovascular Research (DZHK), Partnersites Heidelberg and Mannheim, Germany
| | - Tyler Huffaker
- Division of Pediatric Cardiology, Department of Pediatrics, UT Southwestern /Children’s Health, 1935 Medical District Drive B3.09, Dallas, TX 75235, USA
| | - Daniel Young
- Division of Pediatric Cardiology, Department of Pediatrics, UT Southwestern /Children’s Health, 1935 Medical District Drive B3.09, Dallas, TX 75235, USA
| | - Animesh Tandon
- Department of Heart, Vascular, and Thoracic, Children’s Institute; Cleveland Clinic Children’s Center for Artificial Intelligence (C4AI); and Cardiovascular Innovation Research Center, Cleveland Clinic Children’s, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Case School of Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Florian André
- Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Cardiovascular Research (DZHK), Partnersites Heidelberg and Mannheim, Germany
- University Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Cardiovascular Research (DZHK), Partnersites Heidelberg and Mannheim, Germany
- University Heidelberg, Heidelberg, Germany
| | - Gerald Greil
- Division of Pediatric Cardiology, Department of Pediatrics, UT Southwestern /Children’s Health, 1935 Medical District Drive B3.09, Dallas, TX 75235, USA
| | - Tarique Hussain
- Division of Pediatric Cardiology, Department of Pediatrics, UT Southwestern /Children’s Health, 1935 Medical District Drive B3.09, Dallas, TX 75235, USA
| | - Sandy Engelhardt
- Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Cardiovascular Research (DZHK), Partnersites Heidelberg and Mannheim, Germany
- University Heidelberg, Heidelberg, Germany
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14
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Chen K, Chang L, Huang R, Wang Z, Mu D, Wang L. Left atrial conduit strain derived from cardiac magnetic resonance is an independent predictor of left ventricular reverse remodeling in patients with nonischemic cardiomyopathy. BMC Med Imaging 2024; 24:2. [PMID: 38166678 PMCID: PMC10759573 DOI: 10.1186/s12880-023-01162-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND In some patients with nonischemic cardiomyopathy (NICM), left ventricular (LV) function improves with medical assistance, resulting in left ventricular reverse remodeling (LVRR). However, predictors of LVRR are not fully understood. The left atrium (LA) has been reported as a prognostic predictor in patients with heart failure (HF). The present study aimed to evaluate clinical predictors of LVRR related to LA function on cardiac magnetic resonance (CMR). METHODS A total of 103 patients with reduced left ventricular ejection fraction (LVEF) were enrolled in this retrospective study between September 2015 and July 2021. CMR parameters, including strain data, were measured in all patients. Echocardiographic data obtained approximately 2 years after enrollment were analyzed to assess LVRR. RESULTS LVRR occurred in 46 patients (44.7%) during follow-up. The value of LA conduit strain was higher in the LVRR group than in the non-LVRR group (6.6 [interquartile range (IQR): 5.6-9.3]% versus 5.0 [IQR: 3.0-6.2]%; p < 0.001). The multivariate logistic regression analysis showed that LA conduit strain was an independent predictor of LVRR (odds ratio [OR]: 1.216, 95% confidence interval [CI]: 1.050-1.408; p = 0.009). The area under the receiver operating characteristic (ROC) curve of the LA conduit strain was 0.746, and the cutoff value was 6.2%. The Kaplan‒Meier analysis revealed that the incidence of adverse cardiac events was significantly lower in patients with LA conduit strain > 6.2% compared to those with ⩽6.2%. (log-rank test, p = 0.019). CONCLUSIONS LA conduit strain derived from CMR is an independent predictor of LVRR in patients with NICM.
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Affiliation(s)
- Ke Chen
- Department of Cardiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Lei Chang
- Department of Cardiology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Rong Huang
- Department of Cardiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Ziyan Wang
- Department of Cardiology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing, China
| | - Dan Mu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Lian Wang
- Department of Cardiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
- Department of Cardiology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing, China.
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15
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Wong KCK, Ismail HS, Connelly KA, Verma S, Ng MY, Deva DP, Yan AT, Jimenez-Juan L. Relationship between saxagliptin use and left ventricular diastolic function assessed by cardiac MRI. Acta Diabetol 2024; 61:91-97. [PMID: 37691025 DOI: 10.1007/s00592-023-02177-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/18/2023] [Indexed: 09/12/2023]
Abstract
AIMS Type 2 diabetes mellitus (T2DM) increases the risk of major cardiovascular events. In SAVOR-TIMI53 trial, the excess heart failure (HF) hospitalization among patients with T2DM in the saxagliptin group remains poorly understood. Our aim was to evaluate left ventricular (LV) diastolic function after 6 months of saxagliptin treatment using cardiac magnetic resonance imaging (CMR) in patients with T2DM. METHODS In this prospective study, 16 T2DM patients without HF were prescribed saxagliptin as part of routine guideline-directed management. CMR performed at baseline and 6 months after initiation of saxagliptin treatment were evaluated in a blinded fashion. We assessed LV diastolic function by measuring LV peak filling rate with correction for end-diastolic volume (PFR/LVEDV), time to peak filling rate with correction for cardiac cycle (TPF/RR), and early diastolic strain rate parameters [global longitudinal diastolic strain rate (GLSR-E), global circumferential diastolic strain rate (GCSR-E)] by feature tracking (FT-CMR). RESULTS Among the 16 patients (mean age of 59.9, 69% males, mean hemoglobin A1c 8.3%, mean left ventricular ejection fraction 57%), mean PFR was 314 ± 108 ml/s at baseline and did not change over 6 months (- 2.7, 95% CI - 35.6, 30.2, p = 0.86). There were also no significant changes in other diastolic parameters including PFR/EDV, TPF, TPF/RR, and GLSR-E and GCSR-E (all p > 0.50). CONCLUSION In T2DM patients without HF receiving saxagliptin over 6 months, there were no significant subclinical changes in LV diastolic function as assessed by CMR.
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Affiliation(s)
- Kathy C K Wong
- Department of Medical Imaging, St. Michael's Hospital, 30 Bond Street, Toronto, M5B 1W8, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
- Department of Diagnostic Radiology, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Huda S Ismail
- Department of Medical Imaging, St. Michael's Hospital, 30 Bond Street, Toronto, M5B 1W8, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Kim A Connelly
- Division of Cardiology, St. Michael's Hospital, 30 Bond Street, Toronto, M5B 1W8, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
- Keenan Research Centre for Biomedical Science in the Li Ka Shing Knowledge Institute of Unity Health Toronto, Toronto, Canada
| | - Subodh Verma
- Keenan Research Centre for Biomedical Science in the Li Ka Shing Knowledge Institute of Unity Health Toronto, Toronto, Canada
- Division of Cardiac Surgery, St. Michael's Hospital, Toronto, Canada
- Department of Surgery and Pharmacology and Toxicology, University of Toronto, Toronto, Canada
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Division of Cardiac Imaging, HKU-Shenzhen Hospital, Shenzhen, China
| | - Djeven P Deva
- Department of Medical Imaging, St. Michael's Hospital, 30 Bond Street, Toronto, M5B 1W8, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
- Keenan Research Centre for Biomedical Science in the Li Ka Shing Knowledge Institute of Unity Health Toronto, Toronto, Canada
| | - Andrew T Yan
- Department of Medical Imaging, St. Michael's Hospital, 30 Bond Street, Toronto, M5B 1W8, Canada.
- Department of Medical Imaging, University of Toronto, Toronto, Canada.
- Division of Cardiology, St. Michael's Hospital, 30 Bond Street, Toronto, M5B 1W8, Canada.
- Department of Medicine, University of Toronto, Toronto, Canada.
| | - Laura Jimenez-Juan
- Department of Medical Imaging, St. Michael's Hospital, 30 Bond Street, Toronto, M5B 1W8, Canada.
- Department of Medical Imaging, University of Toronto, Toronto, Canada.
- Keenan Research Centre for Biomedical Science in the Li Ka Shing Knowledge Institute of Unity Health Toronto, Toronto, Canada.
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16
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Zhang Z, Li G, Gao Y, Zhou S, Xie J, Liu S, Zhao Z, Zhu C, Ordovas K, Pohost GM, Sun K, Li K. Healthy Adult Left and Right Ventricular Torsion and Torsion Rates With MR-Feature Tracking. J Magn Reson Imaging 2023. [PMID: 38156373 DOI: 10.1002/jmri.29201] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/11/2023] [Accepted: 12/11/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND The clinical value of myocardial torsion quantification in prognostic assessment and risk stratification of various cardiovascular diseases is gradually being recognized. However, normal values of left and right ventricular (LV and RV) torsion and torsion rates (TRs) have not been fully determined, and their correlation with age and gender has not been well studied. PURPOSE To establish normal ranges of biventricular torsion, peak systolic and diastolic TRs using magnetic resonance feature tracking (MR-FT) technique based on a large sample of healthy adults, and further investigate their relationship with age and gender. STUDY TYPE Retrospective. POPULATION 566 Healthy adults (312 males, aged 43 ± 10 years; 254 females, aged 43 ± 11 years). FIELD STRENGTH/SEQUENCE 1.5T/gradient echo. ASSESSMENT Biventricular torsion, peak systolic, and diastolic TRs. STATISTICAL TESTS Shapiro-Wilk test, Student's t-test, Mann-Whitney-U test, linear regression, intraclass correlation coefficient, Bland-Altman analysis. Differences were regarded as statistically significant at P < 0.05. RESULTS Women demonstrated greater magnitudes of left ventricle (LV) torsion (1.23 ± 0.44 vs. 1.00 ± 0.42°/cm), peak systolic TR (9.69 ± 3.70 vs. 8.27 ± 3.73°/cm*sec), peak diastolic TR (-7.78 ± 2.82 vs. -6.06 ± 2.44°/cm*sec), and RV torsion (2.20 ± 1.23 vs. 1.65 ± 1.11°/cm*sec), peak systolic TR (16.07 ± 8.18 vs. 12.62 ± 7.08°/cm*sec), peak diastolic TR (-15.39 ± 6.53 vs. -11.70 ± 6.03°/cm*sec). For both genders, the magnitudes of LV and RV torsion, peak systolic, and diastolic TRs increased linearly with age. All the measurements of biventricular torsion, peak systolic and diastolic TRs achieved good to excellent intraobserver and interobserver reproducibility, with all intraclass correlation coefficients >0.70. DATA CONCLUSION The present study systematically provided age- and sex-stratified reference values for LV and RV torsion and TRs using MR-FT technique. Women and aging are associated with greater magnitudes of biventricular torsion, peak systolic, and diastolic TRs. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Zhen Zhang
- Department of Radiology, Medical imaging research institute of Longgang, the Third People's Hospital of Longgang District, Shenzhen, China
| | - Gengxiao Li
- Department of Radiology, Shenzhen Second People's Hospital, Shenzhen, China
| | - Yiyuan Gao
- The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Shanshan Zhou
- Department of Radiology, Medical imaging research institute of Longgang, the Third People's Hospital of Longgang District, Shenzhen, China
| | - Jianan Xie
- Department of Radiology, Medical imaging research institute of Longgang, the Third People's Hospital of Longgang District, Shenzhen, China
| | - Shurong Liu
- Department of Radiology, Medical imaging research institute of Longgang, the Third People's Hospital of Longgang District, Shenzhen, China
| | - Zhiwei Zhao
- Zhouxin Medical Imaging and Health Screening Center, Xiamen, Fujian, China
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Karen Ordovas
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Gerald M Pohost
- Zhouxin Medical Imaging and Health Screening Center, Xiamen, Fujian, China
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Kai Sun
- Department of Radiology, Medical imaging research institute of Longgang, the Third People's Hospital of Longgang District, Shenzhen, China
| | - Kuncheng Li
- Department of Radiology, Medical imaging research institute of Longgang, the Third People's Hospital of Longgang District, Shenzhen, China
- Zhouxin Medical Imaging and Health Screening Center, Xiamen, Fujian, China
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
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17
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Raja DC, Samarawickrema I, Srinivasan JR, Menon S, Das SK, Jain S, Tuan LQ, Desjardins B, Marchlinski FE, Abhayaratna WP, Sanders P, Pathak RK. Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy. J Interv Card Electrophysiol 2023; 66:2113-2123. [PMID: 37129791 PMCID: PMC10694091 DOI: 10.1007/s10840-023-01553-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Late gadolinium enhancement (LGE) detected by cardiac MRI (CMR) has low correlation with low voltage zones (LVZs) detected by electroanatomical mapping (EAM). We aim to study correlation of myocardial strain by CMR- Feature Tracking (FT) alongside LGE with LVZs detected by EAM. METHODS Nineteen consecutive CMRs of patients with EAM were analyzed offline by CMR-FT. Peak value of circumferential strain (CS), longitudinal strain (LS), and LGE was measured in each segment of the left ventricle (17-segment model). The percentage of myocardial segments with CS and LS > -17% was determined. Percentage area of LGE-scar was calculated. Global and segment-wise bipolar and unipolar voltage was collected. Percentage area of bipolar LVZ (<1.5 mV) and unipolar LVZ (<8.3 mV) was calculated. RESULTS Mean age was 62±11 years. Mean LVEF was 37±13%. Mean global CS was -11.8±5%. Mean global LS was -11.2±4%. LGE-scar was noted in 74% of the patients. Mean percentage area of LGE-scar was 5%. There was significant correlation between percentage abnormality detected by LS with percentage bipolar LVZ (r = +0.5, p = 0.03) and combined percentage CS+LS abnormality with percentage unipolar LVZ (r = +0.5, p = 0.02). Per-unit increase in CS increased the percentage area of unipolar LVZ by 2.09 (p = 0.07) and per-unit increase in LS increased the percentage area of unipolar LVZ by 2.49 (p = 0.06). The concordance rates between CS and LS to localize segments with bipolar/unipolar LVZ were 79% and 95% compared to 63% with LGE. CONCLUSIONS Myocardial strain detected by CMR-FT has a better correlation with electrical low voltage zones than the conventional LGE.
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Affiliation(s)
- Deep Chandh Raja
- ANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia
- Canberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia
- Canberra Heart Rhythm, 2 Garran Place, Garran, 2605, Australia
| | | | | | - SaratKrishna Menon
- University of Newcastle, Newcastle, NSW, Australia
- Canberra Heart Rhythm, 2 Garran Place, Garran, 2605, Australia
| | - Souvik Kumar Das
- Canberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia
| | - Sanjiv Jain
- Canberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia
| | - Lukah Q Tuan
- ANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia
- Canberra Heart Rhythm, 2 Garran Place, Garran, 2605, Australia
| | - Benoit Desjardins
- Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, USA
| | - Francis E Marchlinski
- Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, USA
| | - Walter P Abhayaratna
- ANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia
- Canberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia
| | - Prashanthan Sanders
- Center for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Rajeev K Pathak
- ANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia.
- Canberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia.
- Canberra Heart Rhythm, 2 Garran Place, Garran, 2605, Australia.
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18
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Ghannam M, Bogun F, Liang JJ. Myocardial strain with cardiac magnetic resonance imaging to identify ventricular tachycardia substrate in nonischemic cardiomyopathy: important tool in the toolbox or straining to find value? J Interv Card Electrophysiol 2023; 66:1959-1960. [PMID: 37237133 DOI: 10.1007/s10840-023-01566-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023]
Affiliation(s)
- Michael Ghannam
- Electrophysiology Section, Division of Cardiovascular Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, USA
| | - Frank Bogun
- Electrophysiology Section, Division of Cardiovascular Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, USA
| | - Jackson J Liang
- Electrophysiology Section, Division of Cardiovascular Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, USA.
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19
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Almeida ALC, Melo MDTD, Bihan DCDSL, Vieira MLC, Pena JLB, Del Castillo JM, Abensur H, Hortegal RDA, Otto MEB, Piveta RB, Dantas MR, Assef JE, Beck ALDS, Santo THCE, Silva TDO, Salemi VMC, Rocon C, Lima MSM, Barberato SH, Rodrigues AC, Rabschkowisky A, Frota DDCR, Gripp EDA, Barretto RBDM, Silva SME, Cauduro SA, Pinheiro AC, Araujo SPD, Tressino CG, Silva CES, Monaco CG, Paiva MG, Fisher CH, Alves MSL, Grau CRPDC, Santos MVCD, Guimarães ICB, Morhy SS, Leal GN, Soares AM, Cruz CBBV, Guimarães Filho FV, Assunção BMBL, Fernandes RM, Saraiva RM, Tsutsui JM, Soares FLDJ, Falcão SNDRS, Hotta VT, Armstrong ADC, Hygidio DDA, Miglioranza MH, Camarozano AC, Lopes MMU, Cerci RJ, Siqueira MEMD, Torreão JA, Rochitte CE, Felix A. Position Statement on the Use of Myocardial Strain in Cardiology Routines by the Brazilian Society of Cardiology's Department Of Cardiovascular Imaging - 2023. Arq Bras Cardiol 2023; 120:e20230646. [PMID: 38232246 DOI: 10.36660/abc.20230646] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024] Open
Abstract
Central Illustration : Position Statement on the Use of Myocardial Strain in Cardiology Routines by the Brazilian Society of Cardiology's Department Of Cardiovascular Imaging - 2023 Proposal for including strain in the integrated diastolic function assessment algorithm, adapted from Nagueh et al.67 Am: mitral A-wave duration; Ap: reverse pulmonary A-wave duration; DD: diastolic dysfunction; LA: left atrium; LASr: LA strain reserve; LVGLS: left ventricular global longitudinal strain; TI: tricuspid insufficiency. Confirm concentric remodeling with LVGLS. In LVEF, mitral E wave deceleration time < 160 ms and pulmonary S-wave < D-wave are also parameters of increased filling pressure. This algorithm does not apply to patients with atrial fibrillation (AF), mitral annulus calcification, > mild mitral valve disease, left bundle branch block, paced rhythm, prosthetic valves, or severe primary pulmonary hypertension.
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Affiliation(s)
| | | | | | - Marcelo Luiz Campos Vieira
- Instituto do Coração da Faculdade de Medicina da Universidade de São Paulo (Incor/FMUSP), São Paulo, SP - Brasil
| | - José Luiz Barros Pena
- Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, MG - Brasil
- Hospital Felicio Rocho, Belo Horizonte, MG - Brasil
| | | | - Henry Abensur
- Beneficência Portuguesa de São Paulo, São Paulo, SP - Brasil
| | | | | | | | | | | | | | | | | | - Vera Maria Cury Salemi
- Instituto do Coração da Faculdade de Medicina da Universidade de São Paulo (Incor/FMUSP), São Paulo, SP - Brasil
| | - Camila Rocon
- Hospital do Coração (HCor), São Paulo, SP - Brasil
| | - Márcio Silva Miguel Lima
- Instituto do Coração da Faculdade de Medicina da Universidade de São Paulo (Incor/FMUSP), São Paulo, SP - Brasil
| | | | | | | | | | - Eliza de Almeida Gripp
- Hospital Pró-Cardiaco, Rio de Janeiro, RJ - Brasil
- Hospital Universitário Antônio Pedro da Universidade Federal Fluminense (UFF), Rio de Janeiro, RJ - Brasil
| | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Veronica Camara Dos Santos
- Departamento de Cardiologia Pediátrica (DCC/CP) da Sociedade Brasileira de Cardiologia (SBC), São Paulo, SP - Brasil
- Sociedade Brasileira de Oncologia Pediátrica, São Paulo, SP - Brasil
| | | | | | - Gabriela Nunes Leal
- Instituto da Criança e do Adolescente do Hospital das Clinicas Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP - Brasil
| | | | | | | | | | | | | | | | | | | | - Viviane Tiemi Hotta
- Instituto do Coração da Faculdade de Medicina da Universidade de São Paulo (Incor/FMUSP), São Paulo, SP - Brasil
- Grupo Fleury, São Paulo, SP - Brasil
| | | | - Daniel de Andrade Hygidio
- Hospital Nossa Senhora da Conceição, Tubarão, SC - Brasil
- Universidade do Sul de Santa Catarina (UNISUL), Tubarão, SC - Brasil
| | - Marcelo Haertel Miglioranza
- EcoHaertel - Hospital Mae de Deus, Porto Alegre, RS - Brasil
- Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS - Brasil
| | | | | | | | | | - Jorge Andion Torreão
- Hospital Santa Izabel, Salvador, BA - Brasil
- Santa Casa da Bahia, Salvador, BA - Brasil
| | - Carlos Eduardo Rochitte
- Instituto do Coração da Faculdade de Medicina da Universidade de São Paulo (Incor/FMUSP), São Paulo, SP - Brasil
- Hospital do Coração (HCor), São Paulo, SP - Brasil
| | - Alex Felix
- Diagnósticos da América SA (DASA), São Paulo, SP - Brasil
- Instituto Nacional de Cardiologia (INC), Rio de Janeiro, RJ - Brasil
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20
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Qian Y, Zhao X, Chen BH, An DA, Wu R, Shi RY, Zhang C, Ma X, Zhou Y, Zhao L, Wu LM. Right ventricular global strain in patients with hypertrophic cardiomyopathy with and without right ventricular hypertrophy. Eur J Radiol 2023; 169:111148. [PMID: 37871355 DOI: 10.1016/j.ejrad.2023.111148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/12/2023] [Accepted: 10/10/2023] [Indexed: 10/25/2023]
Abstract
PURPOSE Regardless of whether there are morphological abnormalities of right ventricle in hypertrophic cardiomyopathy (HCM) patients, the exact contribution of right ventricular (RV) global strains remains unresolved. We aimed to study the prognostic value of RV global strains in HCM patients with and without RV hypertrophy (RVH). METHOD A total of 358 HCM patients who underwent the CMR examination and carried out the follow-up were finally included in this retrospective study. The endpoint was a composite of all-cause mortality, aborted SCD, and heart failure readmission. RV hypertrophy (RVH) was defined as maximal RVWT ≥ 5 mm at end-diastole. RV global strains (RV global longitudinal strain (GLS) and RV global circumferential strain (GCS) were measured in HCM patients by cardiac MRI feature tracking technique. The intraobserver and interobserver reproducibility were evaluated. Receiver-operating characteristic curves and Kaplan-Meier curves, cox proportional hazards regression, Likelihood ratio test and Integrated Discrimination Improvement (IDI) analysis were performed. P-value were corrected for multiple testing when using many covariables by a false discovery rate adjustment. RESULTS Over a median follow-up of 25 (range 3-54) months, 49 patients reached the composite endpoints. HCM patients were divided into the RVH group and non-RVH groups. In the multivariate cox proportional hazards regression, after adjusting multiple clinical and imaging variables, RV GLS and RV GCS were independently associated with the composite endpoints in the RVH group (HR: 1.123; 95 % CI: 1.048-1.205; P = 0.002) and non-RVH group (HR: 1.174; 95 % CI: 1.031-1.337; P = 0.015), respectively. And The IDI index of models improved when adding RV GLS (IDI = 0.030, p < 0.001) and RV GLS (IDI = 0.056, p = 0.020), respectively. CONCLUSIONS RV GLS and RV GCS are independent predictors of HCM with RVH and without RVH, respectively. RV GLS in the RVH group and RV GCS in the non-RVH group provide additional values for predicting the risk of adverse events.
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Affiliation(s)
- Yufan Qian
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Xinghan Zhao
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Rui Wu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Ruo-Yang Shi
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Chen Zhang
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Xiaohai Ma
- Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Lei Zhao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
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21
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Na L, Cui W, Li X, Chang J, Xue X. Association between the triglyceride-glucose index and left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study. Cardiovasc Diabetol 2023; 22:321. [PMID: 37993858 PMCID: PMC10666388 DOI: 10.1186/s12933-023-02050-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/01/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND This study aimed to investigate the association between the triglyceride-glucose (TyG) index and left ventricular global longitudinal strain (GLS) in patients with coronary heart disease and to examine the role of left ventricular GLS in detecting early changes in cardiac function in patients with coronary heart disease in the subclinical stage. METHODS A cross-sectional study involving 178 participants with symptomatic coronary artery disease excluding myocardial infarction or left ventricular dysfunction was conducted in Jilin Province, China. Basic clinical, biochemical, and echocardiographic data were obtained from all participants. Myocardial strain parameters were compared between patients with higher TyG index and those with lower TyG index, and the association between the gradually elevated TyG index and on subclinical cardiac function in patients with coronary heart disease was evaluated. RESULTS The GLS of left ventricle was lower in the higher TyG index group than in the lower TyG index group. As the TyG index increases, the GLS progressively decreases. The results remained stable after adjusting for confounding factors. CONCLUSIONS A higher TyG index maybe independently associated with subclinical left ventricular dysfunction in patients with coronary heart disease.
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Affiliation(s)
- Lin Na
- Department of Cardiology, The Second Hospital of Jilin University, Changchun, China
| | - Wenjing Cui
- Department of Cardiology, Xi'an International Medical Center Hospital, Xi'an, China
| | - Xinqi Li
- Department of Cardiology, The Second Hospital of Jilin University, Changchun, China
| | - Jing Chang
- Clinical Laboratory, The Second Hospital of Jilin University, Changchun, China.
| | - Xin Xue
- Department of Cardiology, The Second Hospital of Jilin University, Changchun, China.
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22
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Kashyap N, Nikhanj A, Labib D, Prosia E, Rivest S, Flewitt J, Pfeffer G, Bakal JA, Siddiqi ZA, Coulden RA, Thompson R, White JA, Oudit GY. Prognostic Utility of Cardiovascular Magnetic Resonance-Based Phenotyping in Patients With Muscular Dystrophy. J Am Heart Assoc 2023; 12:e030229. [PMID: 37929714 PMCID: PMC10727409 DOI: 10.1161/jaha.123.030229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023]
Abstract
Background The prognostic utility of cardiovascular magnetic resonance imaging, including strain analysis and tissue characterization, has not been comprehensively investigated in adult patients with muscular dystrophy. Methods and Results We prospectively enrolled 148 patients with dystrophinopathies (including heterozygotes), limb-girdle muscular dystrophy, and type 1 myotonic dystrophy (median age, 36.0 [interquartile range, 23.0-50.0] years; 51 [34.5%] women) over 7.7 years in addition to an age- and sex-matched healthy control cohort (n=50). Cardiovascular magnetic resonance markers, including 3-dimensional strain and fibrosis, were assessed for their respective association with major adverse cardiac events. Our results showed that markers of contractile performance were reduced across all muscular dystrophy groups. In particular, the dystrophinopathies cohort experienced reduced left ventricular (LV) ejection fraction and high burden of replacement fibrosis. Patients with type 1 myotonic dystrophy showed a 26.8% relative reduction in LV mass with corresponding reduction in chamber volumes. Eighty-two major adverse cardiac events occurred over a median follow-up of 5.2 years. Although LV ejection fraction was significantly associated with major adverse cardiac events (adjusted hazard ratio [aHR], 3.0 [95% CI, 1.4-6.4]) after adjusting for covariates, peak 3-dimensional strain amplitude demonstrated greater predictive value (minimum principal amplitude: aHR, 5.5 [95% CI, 2.5-11.9]; maximum principal amplitude: aHR, 3.3 [95% CI, 1.6-6.8]; circumferential amplitude: aHR, 3.4 [95% CI, 1.6-7.2]; longitudinal amplitude: aHR, 3.4 [95% CI, 1.7-6.9]; and radial strain amplitude: aHR, 3.0 [95% CI, 1.4-6.1]). Minimum principal strain yielded incremental prognostic value beyond LV ejection fraction for association with major adverse cardiac events (change in χ2=13.8; P<0.001). Conclusions Cardiac dysfunction is observed across all muscular dystrophy subtypes; however, the subtypes demonstrate distinct phenotypic profiles. Myocardial deformation analysis highlights unique markers of principal strain that improve risk assessment over other strain markers, LV ejection fraction, and late gadolinium enhancement in this vulnerable patient population.
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Affiliation(s)
- Niharika Kashyap
- Division of CardiologyUniversity of AlbertaEdmontonAlbertaCanada
- Department of Medicine, Faculty of Medicine and DentistryMazankowski Alberta Heart Institute, University of AlbertaEdmontonAlbertaCanada
| | - Anish Nikhanj
- Division of CardiologyUniversity of AlbertaEdmontonAlbertaCanada
- Department of Medicine, Faculty of Medicine and DentistryMazankowski Alberta Heart Institute, University of AlbertaEdmontonAlbertaCanada
| | - Dina Labib
- Department of Cardiac SciencesUniversity of AlbertaEdmontonAlbertaCanada
- Libin Cardiovascular Institute of Alberta, University of CalgaryCalgaryAlbertaCanada
| | - Easter Prosia
- Department of Cardiac SciencesUniversity of AlbertaEdmontonAlbertaCanada
- Libin Cardiovascular Institute of Alberta, University of CalgaryCalgaryAlbertaCanada
| | - Sandra Rivest
- Department of Cardiac SciencesUniversity of AlbertaEdmontonAlbertaCanada
| | - Jacqueline Flewitt
- Libin Cardiovascular Institute of Alberta, University of CalgaryCalgaryAlbertaCanada
| | - Gerald Pfeffer
- Department of Clinical NeurosciencesUniversity of CalgaryCalgaryAlbertaCanada
- Hotchkiss Brain Institute, University of CalgaryCalgaryAlbertaCanada
| | - Jeffrey A. Bakal
- Alberta Strategy for Patient Oriented Research UnitUniversity of CalgaryCalgaryAlbertaCanada
- Provincial Research Data ServicesUniversity of AlbertaEdmontonAlbertaCanada
| | - Zaeem A. Siddiqi
- Division of Neurology, Department of Medicine, Faculty of Medicine and DentistryUniversity of AlbertaEdmontonAlbertaCanada
| | - Richard A. Coulden
- Department of Radiology and Diagnostic ImagingUniversity of Alberta HospitalEdmontonAlbertaCanada
| | - Richard Thompson
- Division of CardiologyUniversity of AlbertaEdmontonAlbertaCanada
- Department of Medicine, Faculty of Medicine and DentistryMazankowski Alberta Heart Institute, University of AlbertaEdmontonAlbertaCanada
| | - James A. White
- Department of Cardiac SciencesUniversity of AlbertaEdmontonAlbertaCanada
- Libin Cardiovascular Institute of Alberta, University of CalgaryCalgaryAlbertaCanada
| | - Gavin Y. Oudit
- Division of CardiologyUniversity of AlbertaEdmontonAlbertaCanada
- Department of Medicine, Faculty of Medicine and DentistryMazankowski Alberta Heart Institute, University of AlbertaEdmontonAlbertaCanada
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23
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Cau R, Muscogiuri G, Palmisano V, Porcu M, Pintus A, Montisci R, Mannelli L, Suri JS, Francone M, Saba L. Base-to-apex Gradient Pattern Assessed by Cardiovascular Magnetic Resonance in Takotsubo Cardiomyopathy. J Thorac Imaging 2023:00005382-990000000-00108. [PMID: 37905946 DOI: 10.1097/rti.0000000000000761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
OBJECTIVES The purpose of this study was to investigate the base-to-apex gradient strain pattern as a noncontrast cardiovascular magnetic resonance (CMR) parameter in patients with Takotsubo cardiomyopathy (TTC) and determine whether this pattern may help discriminate TTC from patients with anterior myocardial infarction (AMI). MATERIALS AND METHODS A total of 80 patients were included in the analysis: 30 patients with apical ballooning TTC and 50 patients with AMI. Global and regional ventricular function, including longitudinal (LS), circumferential (CS), and radial strain (RS), were assessed using CMR. The base-to-apex LS, RS, and CS gradients, defined as the peak gradient difference between averaged basal and apical strain, were calculated. RESULTS The base-to-apex RS gradient was impaired in TTC patients compared with the AMI group (14.04 ± 15.50 vs. -0.43 ± 11.59, P=0.001). Conversely, there were no significant differences in the base-to-apex LS and CS gradients between the AMI group and TTC patients (0.14 ± 2.71 vs. -1.5 ± 3.69, P=0.054: -0.99 ± 6.49 vs. ±1.4 ± 5.43, P=0.47, respectively). Beyond the presence and extension of LGE, base-to-apex RS gradient was the only independent discriminator between TTC and AMI (OR 1.28; 95% CI 1.08, 1.52, P=0.006) in multivariate logistic regression analysis. CONCLUSION The findings of this study suggest that the pattern of regional myocardial strain impairment could serve as an additional noncontrast CMR tool to refine the diagnosis of TTC. A pronounced base-to-apex RS gradient may be a specific left ventricle strain pattern of TTC.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy
| | - Giuseppe Muscogiuri
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy
| | | | - Michele Porcu
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy
| | - Alessandra Pintus
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy
| | - Roberta Montisci
- Department of Cardiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy
| | | | - Jasjit S Suri
- Stroke Diagnosis and Monitoring Division Atheropoint LLC, Roseville, CA
| | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy
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Zhang X, Zhao R, Deng W, Li Y, An S, Qian Y, Liu B, Yu Y, Li X. Left Atrial and Ventricular Strain Differentiates Cardiac Amyloidosis and Hypertensive Heart Disease: A Cardiac MR Feature Tracking Study. Acad Radiol 2023; 30:2521-2532. [PMID: 36925334 DOI: 10.1016/j.acra.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 03/17/2023]
Abstract
RATIONALE AND OBJECTIVES Strain measured by feature tracking technique represents the degree of deformation and reflects the systolic and diastolic function of the heart. Our purpose was to evaluate the differential diagnostic value and correlations of left atrial (LA) strain (LAS) and left ventricular (LV) strain (LVS) in cardiac amyloidosis (CA) and hypertensive heart disease (HHD) patients. MATERIALS AND METHODS We recruited 25 CA patients, 30 sex- and age-matched HHD patients and 20 healthy subjects totally. LAS and LVS were analyzed by CVI42 post-processing software. The efficiency of LAS and LVS in differentiating CA from HHD was compared by receiver operating characteristic curves analysis. Pearson or Spearman's analysis were used to assess the correlation between LAS and LV parameters. RESULTS Both HHD and CA patients had impaired LVS, the gradient of increasing absolute values of longitudinal strain (LS) and radial strain (RS) from the basal to the apical myocardium was most pronounced in the CA group, its relative apical sparing of LS (RASLS) ratio reached 0.91 ± 0.02, significantly higher than other two groups (HHD: 0.72 ± 0.02; controls: 0.56 ± 0.01, all p <0.001). Additionally, except for the booster strain in the HHD group was preserved, all other LAS were reduced in patients' groups. The RASLS had the best differential diagnostic efficacy with an area under the curve (AUC) of 0.930 (p <0.001); The AUCs of LAS all greater than 0.850, above global LS (GLS) (AUC = 0.770, p = 0.001). LAS was notably correlated with LV ejection fraction (LVEF) and GLS, with reservoir strain having the greatest correlation with GLS (r = -0.828, p <0.001). CONCLUSION The RASLS has high efficiency in guiding the differential diagnosis of CA and HHD with similar degree and presentation of LVH. Moreover, LAS values can also provide some useful information and they are closely linked with LV function, CMR feature tracking may provide assistance in the evaluation of LA-LV coupling.
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Affiliation(s)
- Xinna Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Ren Zhao
- Department of Cardiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Wei Deng
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Yuguo Li
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Shutian An
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Yinfeng Qian
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Bin Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China
| | - Xiaohu Li
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230032, Anhui Province, China; Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei 230032, Anhui Province, China.
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Barison A, Ceolin R, Palmieri A, Tamborrino PP, Todiere G, Grigoratos C, Gueli IA, De Gori C, Clemente A, Pistoia L, Pepe A, Aquaro GD, Positano V, Emdin M, Cademartiri F, Meloni A. Biventricular Tissue Tracking with Cardiovascular Magnetic Resonance: Reference Values of Left- and Right-Ventricular Strain. Diagnostics (Basel) 2023; 13:2912. [PMID: 37761278 PMCID: PMC10527573 DOI: 10.3390/diagnostics13182912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/31/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
We derived reference values of left-ventricular (LV) and right-ventricular (RV) strain parameters in a cohort of 100 healthy subjects by feature tracking cardiac magnetic resonance (FT-CMR). Global and regional strain values were calculated for the LV; circumferential and radialSAX strain parameters were derived from the short-axis (SAX) stack, while longitudinal and radialLAX strain parameters were assessed in three long-axis (LAX) views. Only global longitudinal strain (GLS) was calculated for the RV. Peak global LV circumferential strain was -16.7% ± 2.1%, LV radialSAX strain was 26.4% ± 5.1%, LV radialLAX strain was 31.1% ± 5.2%, LV GLS was -17.7% ± 1.9%, and RV GLS was -23.9% ± 4.1%. Women presented higher global LV and RV strain values than men; all strain values presented a weak relationship with body surface area, while there was no association with age or heart rate. A significant association was detected between all LV global strain measures and LV ejection fraction, while RV GLS was correlated to RV end-diastolic volume. The intra- and inter-operator reproducibility was good for all global strain measures. In the regional analysis, circumferential and radial strain values resulted higher at the apical level, while longitudinal strain values were higher at the basal level. The assessment of cardiac deformation by FT-CMR is feasible and reproducible and gender-specific reference values should be used.
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Affiliation(s)
- Andrea Barison
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Roberto Ceolin
- Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, 34128 Trieste, Italy
| | - Alessandro Palmieri
- Cardiothoracovascular Department, Careggi University Hospital, 50134 Florence, Italy
| | - Pietro Paolo Tamborrino
- Cardiology Division, Cardiothoracic and Vascular Department, Pisa University Hospital, 56124 Pisa, Italy
| | - Giancarlo Todiere
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Chrysanthos Grigoratos
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Ignazio Alessio Gueli
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Clinical Research Unit, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, 35128 Padova, Italy
| | - Giovanni Donato Aquaro
- Academic Radiology Unit, Department of Surgical Medical and Molecular Pathology and Critical Area, University of Pisa, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Michele Emdin
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Antonella Meloni
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
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26
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Ghazy T, Kirstein B, Tomala J, Kalaja I, Herold J, Irqsusi M, Rastan A, Karl Lackner H, Weiss N, Mahlmann A. MRI detects increased aortic stiffening and myocardial dysfunction after TEVAR of blunt injury in young patients. VASA 2023; 52:317-324. [PMID: 37461314 DOI: 10.1024/0301-1526/a001084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Background: Thoracic endovascular aortic repair (TEVAR) is a well-established technique for the management of blunt thoracic aortic injury (BTAI). Despite improvements in vascular imaging, graft material properties, and implant techniques, stent-graft deployment artificially induces aortic stiffening. This study aimed to evaluate the midterm effect of thoracic endovascular aortic repair after blunt thoracic aortic injury on aortic stiffness and cardiac function in young patients using cardiovascular magnetic resonance (CMR) imaging. Patients and methods: From all patients who underwent TEVAR for BTAI between 2009 and 2019 in a single institution, 10 patients with no other comorbidities affecting arterial stiffness were sex-, age-, height-, and body surface area-matched to 10 healthy controls. Comprehensive CMR examination was performed in all controls and patients. The mean follow-up period was 5.4±1.8 years; the mean age at the time of TEVAR was 30.3±8.7 years. Results: Four patients who underwent TEVAR developed arterial hypertension. 4D flow CMR-based analysis demonstrated higher global pulse wave velocity (PWV) in TEVAR patients than in controls (p=0.012). Segmental analysis showed a higher PWV in the descending and abdominal aorta. The indexed diameter of the ascending aorta was larger in TEVAR patients than in controls (p=0.007). The CINE acquisitions demonstrated increased left ventricular myocardial thickness (p<0.001). The 3D global diastolic strain rate and diastolic longitudinal velocity (e') decreased, and the A-wave velocity increased. Native myocardial T1 values were significantly higher in TEVAR patients (p=0.037). Conclusions: Young patients with TEVAR after BTAI are at an increased risk of developing vascular and myocardial dysfunction due to increased aortic stiffness. CMR follow-up allows for a comprehensive and radiation-free evaluation of vascular stiffness and associated myocardial changes, especially at the early and subclinical stages.
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Affiliation(s)
- Tamer Ghazy
- Department of Cardiac and Thoracic Vascular Surgery, Marburg University Hospital, Germany
| | - Bettina Kirstein
- Department of Rhythmology, University Heart Center Lübeck, University Hospital Schleswig-Holstein, Germany
| | - Jakub Tomala
- Department of Electrophysiology, Heart Center, Technische Universität Dresden, Germany
| | - Igli Kalaja
- Center of Cardiology, Cardiology III - Angiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Jörg Herold
- Department of Vascular Medicine - Angiology, Klinikum Darmstadt GmbH, Germany
| | - Marc Irqsusi
- Department of Cardiac and Thoracic Vascular Surgery, Marburg University Hospital, Germany
| | - Ardawan Rastan
- Department of Cardiac and Thoracic Vascular Surgery, Marburg University Hospital, Germany
| | - Helmut Karl Lackner
- Division of Physiology, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, Austria
| | - Norbert Weiss
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - Adrian Mahlmann
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
- Center for Vascular Medicine, Clinic of Angiology, St.-Josefs-Hospital, Katholische Krankenhaus Hagen gem. GmbH, Germany
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Liu JQ, Luo QF, Qi WY, Xiao ZY, Zhang XY, Lan YS, Chen J. Assessment of early anthracycline-induced cardiotoxicity using segmental strain of cardiac magnetic resonance compared with global strain and functional parameters: an animal study. Quant Imaging Med Surg 2023; 13:5511-5524. [PMID: 37711795 PMCID: PMC10498243 DOI: 10.21037/qims-22-1374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 06/28/2023] [Indexed: 09/16/2023]
Abstract
Background The identification of anthracycline-induced cardiotoxicity holds significant importance in guiding subsequent treatment strategies, and recent research has demonstrated the efficacy of cardiac magnetic resonance (CMR) global strain analysis for its diagnosis. On the other hand, it is noteworthy that abnormal global myocardial strain may exhibit a temporal delay due to different cardiac movement in each segment of the left ventricle. To address this concern, this study aims to assess the diagnostic utility of CMR segmental strain analysis as an early detection method for cardiotoxicity. Methods A serials of CMR scans were performed in 18 adult males New Zealand rabbits at baseline time (n=15), followed by scans at week 2 (n=15), week 4 (n=9), week 6 (n=6), and week 8 (n=5) after each week's anthracycline injection. Additionally, following each CMR scan, two to three rabbits were euthanized for pathological comparison. Cardiac functional parameters, global peak strain parameters, segmental peak strain parameters of the left ventricle, and the presence of myocardial cells damage were obtained. A mixed linear model was employed to obtain the earliest CMR diagnostic time. Receiver operating characteristic (ROC) analysis was performed to get the parameter threshold indicative of cardiotoxicity. Results The left ventricular ejection fraction decreased at week 8 (P=0.002). There were no statistical differences in global strain throughout the experiment period (P>0.05). Regarding segmental strain analysis, the peak segmental radial strain of the apical lateral wall exhibited a decrease starting from week 2 and reached its lowest point at this week (P=0.011). Conversely, peak segmental circumferential strain of the apical anterior wall showed an increase at week 2 and reached its peak at week 6 (P=0.026). The cutoff strain value by ROC analysis for these two walls were 46.285 and -16.920, with the respective areas under the curve (AUC) 0.593 [specificity =0.267, sensitivity =1.000, 95% confidence interval (CI): 0.471-0.777] and 0.764 (specificity =0.733, sensitivity =0.784, 95% CI: 0.511-0.816). Peak segmental longitudinal strain of the apical anterior and apical lateral wall showed relatively delayed changes, occurring in the 4th week (P=0.030 and P=0.048), the cutoff values for these strains were -12.415 and -15.960, with corresponding AUCs of 0.645 (specificity =0.333, sensitivity =0.955, 95% CI: 0.495-0.795) and 0.717 (specificity =0.433, sensitivity =0.955, 95% CI: 0.566-0.902), respectively. Notably, the myocardial injury was also observed at the corresponding periods. Conclusions Based on experimental evidence, the peak segmental strain of the apical lateral and anterior wall, as determined by CMR, demonstrated an earlier detection of anthracycline-induced cardiotoxicity compared to peak global strain and cardiac function.
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Affiliation(s)
- Jun-Qi Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Qian-Feng Luo
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Wan-Yin Qi
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zheng-Yuan Xiao
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xiao-Yong Zhang
- Department of Clinical Science, Philips Healthcare, Chengdu, China
| | - Yong-Shu Lan
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jing Chen
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
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28
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V Graves C, Rebelo MFS, Moreno RA, Dantas-Jr RN, Assunção-Jr AN, Nomura CH, Gutierrez MA. Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR. Comput Med Imaging Graph 2023; 108:102283. [PMID: 37562136 DOI: 10.1016/j.compmedimag.2023.102283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/12/2023]
Abstract
Strain represents the quantification of regional tissue deformation within a given area. Myocardial strain has demonstrated considerable utility as an indicator for the assessment of cardiac function. Notably, it exhibits greater sensitivity in detecting subtle myocardial abnormalities compared to conventional cardiac function indices, like left ventricle ejection fraction (LVEF). Nonetheless, the estimation of strain poses considerable challenges due to the necessity for precise tracking of myocardial motion throughout the complete cardiac cycle. This study introduces a novel deep learning-based pipeline, designed to automatically and accurately estimate myocardial strain from three-dimensional (3D) cine-MR images. Consequently, our investigation presents a comprehensive pipeline for the precise quantification of local and global myocardial strain. This pipeline incorporates a supervised Convolutional Neural Network (CNN) for accurate segmentation of the cardiac muscle and an unsupervised CNN for robust left ventricle motion tracking, enabling the estimation of strain in both artificial phantoms and real cine-MR images. Our investigation involved a comprehensive comparison of our findings with those obtained from two commonly utilized commercial software in this field. This analysis encompassed the examination of both intra- and inter-user variability. The proposed pipeline exhibited demonstrable reliability and reduced divergence levels when compared to alternative systems. Additionally, our approach is entirely independent of previous user data, effectively eliminating any potential user bias that could influence the strain analyses.
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Affiliation(s)
- Catharine V Graves
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil; Escola Politecnica da Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
| | - Marina F S Rebelo
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Ramon A Moreno
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Roberto N Dantas-Jr
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Antonildes N Assunção-Jr
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Cesar H Nomura
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Marco A Gutierrez
- Instituto do Coracao HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil; Escola Politecnica da Universidade de Sao Paulo, Sao Paulo, SP, Brazil
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29
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Simon J, Fung K, Raisi-Estabragh Z, Aung N, Khanji MY, Zsarnóczay E, Merkely B, Munroe PB, Harvey NC, Piechnik SK, Neubauer S, Leeson P, Petersen SE, Maurovich-Horvat P. Association between subclinical atherosclerosis and cardiac structure and function-results from the UK Biobank Study. Eur Heart J Imaging Methods Pract 2023; 1:qyad010. [PMID: 37822973 PMCID: PMC10563379 DOI: 10.1093/ehjimp/qyad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/03/2023] [Indexed: 10/13/2023]
Abstract
Aims Heart failure (HF) is a major health problem and early diagnosis is important. Atherosclerosis is the main cause of HF and carotid intima-media thickness (IMT) is a recognized early measure of atherosclerosis. This study aimed to investigate whether increased carotid IMT is associated with changes in cardiac structure and function in middle-aged participants of the UK Biobank Study without overt cardiovascular disease. Methods and results Participants of the UK Biobank who underwent CMR and carotid ultrasound examinations were included in this study. Patients with heart failure, angina, atrial fibrillation, and history of myocardial infarction or stroke were excluded. We used multivariable linear regression models adjusted for age, sex, physical activity, body mass index, body surface area, hypertension, diabetes, smoking, ethnicity, socioeconomic status, alcohol intake, and laboratory parameters. In total, 4301 individuals (61.6 ± 7.5 years, 45.9% male) were included. Multivariable linear regression analyses showed that increasing quartiles of IMT was associated with increased left and right ventricular (LV and RV) and left atrial volumes and greater LV mass. Moreover, increased IMT was related to lower LV end-systolic circumferential strain, torsion, and both left and right atrial ejection fractions (all P < 0.05). Conclusion Increased IMT showed an independent association over traditional risk factors with enlargement of all four cardiac chambers, decreased function in both atria, greater LV mass, and subclinical LV dysfunction. There may be additional risk stratification that can be derived from the IMT to identify those most likely to have early cardiac structural/functional changes.
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Affiliation(s)
- Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Üllői út 78, H-1082 Budapest, Hungary
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
| | - Kenneth Fung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Mohammed Y Khanji
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
- Barts Health NHS Trust, Newham University Hospital, Glen Road, Plaistow, London E1 1BB, United Kingdom
| | - Emese Zsarnóczay
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Üllői út 78, H-1082 Budapest, Hungary
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
| | - Béla Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
| | - Patricia B Munroe
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - Stefan K Piechnik
- National Institute for Health Research, Oxford Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Stefan Neubauer
- National Institute for Health Research, Oxford Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Paul Leeson
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 1, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, United Kingdom
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Üllői út 78, H-1082 Budapest, Hungary
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary, Városmajor u 68, H-1122 Budapest, Hungary
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30
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Okafor J, Khattar R, Sharma R, Kouranos V. The Role of Echocardiography in the Contemporary Diagnosis and Prognosis of Cardiac Sarcoidosis: A Comprehensive Review. Life (Basel) 2023; 13:1653. [PMID: 37629510 PMCID: PMC10455750 DOI: 10.3390/life13081653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/23/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
Cardiac sarcoidosis (CS) is a rare inflammatory disorder characterised by the presence of non-caseating granulomas within the myocardium. Contemporary studies have revealed that 25-30% of patients with systemic sarcoidosis have cardiac involvement, with detection rates increasing in the era of advanced cardiac imaging. The use of late gadolinium enhancement cardiac magnetic resonance and 18fluorodeoxy glucose positron emission tomography (FDG-PET) imaging has superseded endomyocardial biopsy for the diagnosis of CS. Echocardiography has historically been used as a screening tool with abnormalities triggering the need for advanced imaging, and as a tool to assess cardiac function. Regional wall thinning or aneurysm formation in a noncoronary distribution may indicate granuloma infiltration. Thinning of the basal septum in the setting of extracardiac sarcoidosis carries a high specificity for cardiac involvement. Abnormal myocardial echotexture and eccentric hypertrophy may be suggestive of active myocardial inflammation. The presence of right-ventricular involvement as indicated by free-wall aneurysms can mimic arrhythmogenic right-ventricular cardiomyopathy. More recently, the use of myocardial strain has increased the sensitivity of echocardiography in diagnosing cardiac involvement. Echocardiography is limited in prognostication, with impaired left-ventricular (LV) ejection fraction and LV dilatation being the only established independent predictors of mortality. More research is required to explore how advanced echocardiographic technologies can increase both the diagnostic sensitivity and prognostic ability of this modality in CS.
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Affiliation(s)
- Joseph Okafor
- Department of Echocardiography, Royal Brompton Hospital, London SW3 6NP, UK
- Cardiac Sarcoidosis Centre, Royal Brompton Hospital, London SW3 6NP, UK
| | - Rajdeep Khattar
- Department of Echocardiography, Royal Brompton Hospital, London SW3 6NP, UK
- Cardiac Sarcoidosis Centre, Royal Brompton Hospital, London SW3 6NP, UK
| | - Rakesh Sharma
- Cardiac Sarcoidosis Centre, Royal Brompton Hospital, London SW3 6NP, UK
| | - Vasilis Kouranos
- Cardiac Sarcoidosis Centre, Royal Brompton Hospital, London SW3 6NP, UK
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Leo I, Vidula M, Bisaccia G, Procopio MC, Licordari R, Perotto M, La Vecchia G, Miaris N, Bravo PE, Bucciarelli-Ducci C. The Role of Advanced Cardiovascular Imaging Modalities in Cardio-Oncology: From Early Detection to Unravelling Mechanisms of Cardiotoxicity. J Clin Med 2023; 12:4945. [PMID: 37568347 PMCID: PMC10419705 DOI: 10.3390/jcm12154945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/19/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Advances in cancer therapies have led to a global improvement in patient survival rates. Nevertheless, the price to pay is a concomitant increase in cardiovascular (CV) morbidity and mortality in this population. Increased inflammation and disturbances of the immune system are shared by both cancer and CV diseases. Immunological effects of anti-cancer treatments occur with both conventional chemotherapy and, to a greater extent, with novel biological therapies such as immunotherapy. For these reasons, there is growing interest in the immune system and its potential role at the molecular level in determining cardiotoxicity. Early recognition of these detrimental effects could help in identifying patients at risk and improve their oncological management. Non-invasive imaging already plays a key role in evaluating baseline CV risk and in detecting even subclinical cardiac dysfunction during surveillance. The aim of this review is to highlight the role of advanced cardiovascular imaging techniques in the detection and management of cardiovascular complications related to cancer treatment.
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Affiliation(s)
- Isabella Leo
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy
| | - Mahesh Vidula
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA (P.E.B.)
- Divisions of Nuclear Medicine and Cardiothoracic Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Giandomenico Bisaccia
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Maria Cristina Procopio
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy
| | - Roberto Licordari
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, 98122 Messina, Italy
| | - Maria Perotto
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
| | - Giulia La Vecchia
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Cardiovascular and Pulmonary Science, Catholic University of Sacred Heart, 00168 Rome, Italy
| | - Nikolaos Miaris
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
| | - Paco E. Bravo
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA (P.E.B.)
- Divisions of Nuclear Medicine and Cardiothoracic Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Chiara Bucciarelli-Ducci
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London, London WC2R 2LS, UK
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Telle Å, Bargellini C, Chahine Y, Del Álamo JC, Akoum N, Boyle PM. Personalized biomechanical insights in atrial fibrillation: opportunities & challenges. Expert Rev Cardiovasc Ther 2023; 21:817-837. [PMID: 37878350 PMCID: PMC10841537 DOI: 10.1080/14779072.2023.2273896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/18/2023] [Indexed: 10/26/2023]
Abstract
INTRODUCTION Atrial fibrillation (AF) is an increasingly prevalent and significant worldwide health problem. Manifested as an irregular atrial electrophysiological activation, it is associated with many serious health complications. AF affects the biomechanical function of the heart as contraction follows the electrical activation, subsequently leading to reduced blood flow. The underlying mechanisms behind AF are not fully understood, but it is known that AF is highly correlated with the presence of atrial fibrosis, and with a manifold increase in risk of stroke. AREAS COVERED In this review, we focus on biomechanical aspects in atrial fibrillation, current and emerging use of clinical images, and personalized computational models. We also discuss how these can be used to provide patient-specific care. EXPERT OPINION Understanding the connection betweenatrial fibrillation and atrial remodeling might lead to valuable understanding of stroke and heart failure pathophysiology. Established and emerging imaging modalities can bring us closer to this understanding, especially with continued advancements in processing accuracy, reproducibility, and clinical relevance of the associated technologies. Computational models of cardiac electromechanics can be used to glean additional insights on the roles of AF and remodeling in heart function.
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Affiliation(s)
- Åshild Telle
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Clarissa Bargellini
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Yaacoub Chahine
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - Juan C Del Álamo
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Center for Cardiovascular Biology, University of Washington, Seattle, WA, USA
| | - Nazem Akoum
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - Patrick M Boyle
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Center for Cardiovascular Biology, University of Washington, Seattle, WA, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
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Na L, Cui W, Li X, Chang J, Xue X. Effect of hypertriglyceridemia on left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study. Front Cardiovasc Med 2023; 10:1193971. [PMID: 37441700 PMCID: PMC10333578 DOI: 10.3389/fcvm.2023.1193971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 06/15/2023] [Indexed: 07/15/2023] Open
Abstract
Aims Using speckle tracking technology to investigate the effect of hypertriglyceridemia on the global longitudinal strain(GLS) of the left ventricle in patients with coronary heart disease in the early stage, and to explore the value of myocardial strain in early identification of cardiac dysfunction in patients with coronary heart disease in the pre-heart failure stage. Methods A cross-sectional study of 138 participants was conducted in Jilin Province, China. Basic clinical, biochemical, and echocardiographic data were obtained for all patients. Myocardial strain parameters were compared between the hypertriglyceridemia and normal triglyceride level groups and the effect of hypertriglyceridemia on early left ventricular global longitudinal strain impairment in coronary heart disease patients was evaluated. Results The overall longitudinal strain of the left ventricle was smaller in the hypertriglyceridemia group than in the normal triglyceride group. After the multivariate Logistic regression model adjusting for the influence of confounding factors, the results remained stable. Conclusions The risk of impairment of global longitudinal strain of the left ventricle in patients with coronary heart disease is positively correlated with triglyceride levels, and hypertriglyceridemia maybe an independent risk factor affecting early cardiac dysfunction in the pre-heart failure stage of patients with coronary heart disease.
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Affiliation(s)
- Lin Na
- Department of Cardiology, The Second Hospital of Jilin University, Changchun City, China
| | - Wenjing Cui
- Department of Cardiology, The Second Hospital of Jilin University, Changchun City, China
| | - Xinqi Li
- Department of Cardiology, The Second Hospital of Jilin University, Changchun City, China
| | - Jing Chang
- Clinical Laboratory, The Second Hospital of Jilin University, Changchun City, China
| | - Xin Xue
- Department of Cardiology, The Second Hospital of Jilin University, Changchun City, China
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Masutani EM, Chandrupatla RS, Wang S, Zocchi C, Hahn LD, Horowitz M, Jacobs K, Kligerman S, Raimondi F, Patel A, Hsiao A. Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI. Radiol Cardiothorac Imaging 2023; 5:e220202. [PMID: 37404797 PMCID: PMC10316298 DOI: 10.1148/ryct.220202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/07/2023] [Accepted: 03/20/2023] [Indexed: 07/06/2023]
Abstract
Purpose To assess the feasibility of a newly developed algorithm, called deep learning synthetic strain (DLSS), to infer myocardial velocity from cine steady-state free precession (SSFP) images and detect wall motion abnormalities in patients with ischemic heart disease. Materials and Methods In this retrospective study, DLSS was developed by using a data set of 223 cardiac MRI examinations including cine SSFP images and four-dimensional flow velocity data (November 2017 to May 2021). To establish normal ranges, segmental strain was measured in 40 individuals (mean age, 41 years ± 17 [SD]; 30 men) without cardiac disease. Then, DLSS performance in the detection of wall motion abnormalities was assessed in a separate group of patients with coronary artery disease, and these findings were compared with consensus results of four independent cardiothoracic radiologists (ground truth). Algorithm performance was evaluated by using receiver operating characteristic curve analysis. Results Median peak segmental radial strain in individuals with normal cardiac MRI findings was 38% (IQR: 30%-48%). Among patients with ischemic heart disease (846 segments in 53 patients; mean age, 61 years ± 12; 41 men), the Cohen κ among four cardiothoracic readers for detecting wall motion abnormalities was 0.60-0.78. DLSS achieved an area under the receiver operating characteristic curve of 0.90. Using a fixed 30% threshold for abnormal peak radial strain, the algorithm achieved a sensitivity, specificity, and accuracy of 86%, 85%, and 86%, respectively. Conclusion The deep learning algorithm had comparable performance with subspecialty radiologists in inferring myocardial velocity from cine SSFP images and identifying myocardial wall motion abnormalities at rest in patients with ischemic heart disease.Keywords: Neural Networks, Cardiac, MR Imaging, Ischemia/Infarction Supplemental material is available for this article. © RSNA, 2023.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Ayton SL, Alfuhied A, Gulsin GS, Parke KS, Wormleighton JV, Arnold JR, Moss AJ, Singh A, Xue H, Kellman P, Graham‐Brown MPM, McCann GP. The Interfield Strength Agreement of Left Ventricular Strain Measurements at 1.5 T and 3 T Using Cardiac MRI Feature Tracking. J Magn Reson Imaging 2023; 57:1250-1261. [PMID: 35767224 PMCID: PMC10947203 DOI: 10.1002/jmri.28328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/16/2022] [Accepted: 06/16/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Left ventricular (LV) strain measurements can be derived using cardiac MRI from routinely acquired balanced steady-state free precession (bSSFP) cine images. PURPOSE To compare the interfield strength agreement of global systolic strain, peak strain rates and artificial intelligence (AI) landmark-based global longitudinal shortening at 1.5 T and 3 T. STUDY TYPE Prospective. SUBJECTS A total of 22 healthy individuals (mean age 36 ± 12 years; 45% male) completed two cardiac MRI scans at 1.5 T and 3 T in a randomized order within 30 minutes. FIELD STRENGTH/SEQUENCE: bSSFP cine images at 1.5 T and 3 T. ASSESSMENT Two software packages, Tissue Tracking (cvi42, Circle Cardiovascular Imaging) and QStrain (Medis Suite, Medis Medical Imaging Systems), were used to derive LV global systolic strain in the longitudinal, circumferential and radial directions and peak (systolic, early diastolic, and late diastolic) strain rates. Global longitudinal shortening and mitral annular plane systolic excursion (MAPSE) were measured using an AI deep neural network model. STATISTICAL TESTS Comparisons between field strengths were performed using Wilcoxon signed-rank test (P value < 0.05 considered statistically significant). Agreement was determined using intraclass correlation coefficients (ICCs) and Bland-Altman plots. RESULTS Minimal bias was seen in all strain and strain rate measurements between field strengths. Using Tissue Tracking, strain and strain rate values derived from long-axis images showed poor to fair agreement (ICC range 0.39-0.71), whereas global longitudinal shortening and MAPSE showed good agreement (ICC = 0.81 and 0.80, respectively). Measures derived from short-axis images showed good to excellent agreement (ICC range 0.78-0.91). Similar results for the agreement of strain and strain rate measurements were observed with QStrain. CONCLUSION The interfield strength agreement of short-axis derived LV strain and strain rate measurements at 1.5 T and 3 T was better than those derived from long-axis images; however, the agreement of global longitudinal shortening and MAPSE was good. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Sarah L. Ayton
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Aseel Alfuhied
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Gaurav S. Gulsin
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Kelly S. Parke
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Joanne V. Wormleighton
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - J. Ranjit Arnold
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Alastair J. Moss
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Anvesha Singh
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Hui Xue
- National Heart, Lung and Blood Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Peter Kellman
- National Heart, Lung and Blood Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Matthew P. M. Graham‐Brown
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Gerry P. McCann
- Department of Cardiovascular SciencesUniversity of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
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Pu C, Hu X, Lv S, Wu Y, Yu F, Zhu W, Zhang L, Fei J, He C, Ling X, Wang F, Hu H. Identification of fibrosis in hypertrophic cardiomyopathy: a radiomic study on cardiac magnetic resonance cine imaging. Eur Radiol 2023; 33:2301-2311. [PMID: 36334102 PMCID: PMC10017609 DOI: 10.1007/s00330-022-09217-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 09/29/2022] [Accepted: 10/03/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVES Hypertrophic cardiomyopathy (HCM) often requires repeated enhanced cardiac magnetic resonance (CMR) imaging to detect fibrosis. We aimed to develop a practical model based on cine imaging to help identify patients with high risk of fibrosis and screen out patients without fibrosis to avoid unnecessary injection of contrast. METHODS A total of 273 patients with HCM were divided into training and test sets at a ratio of 7:3. Logistic regression analysis was used to find predictive image features to construct CMR model. Radiomic features were derived from the maximal wall thickness (MWT) slice and entire left ventricular (LV) myocardium. Extreme gradient boosting was used to build radiomic models. Integrated models were established by fusing image features and radiomic models. The model performance was validated in the test set and assessed by ROC and calibration curve and decision curve analysis (DCA). RESULTS We established five prediction models, including CMR, R1 (based on the MWT slice), R2 (based on the entire LV myocardium), and two integrated models (ICMR+R1 and ICMR+R2). In the test set, ICMR+R2 model had an excellent AUC value (0.898), diagnostic accuracy (89.02%), sensitivity (92.54%), and F1 score (93.23%) in identifying patients with positive late gadolinium enhancement. The calibration plots and DCA indicated that ICMR+R2 model was well-calibrated and presented a better net benefit than other models. CONCLUSIONS A predictive model that fused image and radiomic features from the entire LV myocardium had good diagnostic performance, robustness, and clinical utility. KEY POINTS • Hypertrophic cardiomyopathy is prone to fibrosis, requiring patients to undergo repeated enhanced cardiac magnetic resonance imaging to detect fibrosis over their lifetime follow-up. • A predictive model based on the entire left ventricular myocardium outperformed a model based on a slice of the maximal wall thickness. • A predictive model that fused image and radiomic features from the entire left ventricular myocardium had excellent diagnostic performance, robustness, and clinical utility.
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Affiliation(s)
- Cailing Pu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Xi Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Sangying Lv
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, Zhejiang Province, China
| | - Yan Wu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Feidan Yu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Wenchao Zhu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Lingjie Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Jingle Fei
- Department of Radiology, Lishui Municipal Central Hospital, Lishui, Zhejiang Province, China
| | - Chengbin He
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Xiaoli Ling
- Department of Radiology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Fuyan Wang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China
| | - Hongjie Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No.3 Qingchun East Road, Hangzhou, 310016, Zhejiang Province, China.
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Barbaroux H, Kunze KP, Neji R, Nazir MS, Pennell DJ, Nielles-Vallespin S, Scott AD, Young AA. Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks. J Cardiovasc Magn Reson 2023; 25:16. [PMID: 36991474 PMCID: PMC10061808 DOI: 10.1186/s12968-023-00927-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/01/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Cine Displacement Encoding with Stimulated Echoes (DENSE) facilitates the quantification of myocardial deformation, by encoding tissue displacements in the cardiovascular magnetic resonance (CMR) image phase, from which myocardial strain can be estimated with high accuracy and reproducibility. Current methods for analyzing DENSE images still heavily rely on user input, making this process time-consuming and subject to inter-observer variability. The present study sought to develop a spatio-temporal deep learning model for segmentation of the left-ventricular (LV) myocardium, as spatial networks often fail due to contrast-related properties of DENSE images. METHODS 2D + time nnU-Net-based models have been trained to segment the LV myocardium from DENSE magnitude data in short- and long-axis images. A dataset of 360 short-axis and 124 long-axis slices was used to train the networks, from a combination of healthy subjects and patients with various conditions (hypertrophic and dilated cardiomyopathy, myocardial infarction, myocarditis). Segmentation performance was evaluated using ground-truth manual labels, and a strain analysis using conventional methods was performed to assess strain agreement with manual segmentation. Additional validation was performed using an externally acquired dataset to compare the inter- and intra-scanner reproducibility with respect to conventional methods. RESULTS Spatio-temporal models gave consistent segmentation performance throughout the cine sequence, while 2D architectures often failed to segment end-diastolic frames due to the limited blood-to-myocardium contrast. Our models achieved a DICE score of 0.83 ± 0.05 and a Hausdorff distance of 4.0 ± 1.1 mm for short-axis segmentation, and 0.82 ± 0.03 and 7.9 ± 3.9 mm respectively for long-axis segmentations. Strain measurements obtained from automatically estimated myocardial contours showed good to excellent agreement with manual pipelines, and remained within the limits of inter-user variability estimated in previous studies. CONCLUSION Spatio-temporal deep learning shows increased robustness for the segmentation of cine DENSE images. It provides excellent agreement with manual segmentation for strain extraction. Deep learning will facilitate the analysis of DENSE data, bringing it one step closer to clinical routine.
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Affiliation(s)
- Hugo Barbaroux
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital (Guy's and St Thomas' NHS Foundation Trust), London, UK.
| | - Karl P Kunze
- MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK
| | - Radhouene Neji
- MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK
| | - Muhummad Sohaib Nazir
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Dudley J Pennell
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital (Guy's and St Thomas' NHS Foundation Trust), London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Sonia Nielles-Vallespin
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital (Guy's and St Thomas' NHS Foundation Trust), London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Andrew D Scott
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital (Guy's and St Thomas' NHS Foundation Trust), London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Alistair A Young
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
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Priya S, Narayanasamy S, Walling A, Ashwath RC. Subclinical cardiac involvement in student athletes after COVID-19 infection - Evaluation using feature tracking cardiac MRI strain analysis. Clin Imaging 2023; 95:1-6. [PMID: 36565609 PMCID: PMC9769024 DOI: 10.1016/j.clinimag.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/29/2022] [Accepted: 12/11/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To evaluate subclinical cardiac dysfunction in student athletes after COVID-19 infection using feature tracking cardiac MRI strain analysis. METHODS Student athletes with history of COVID-19 infection underwent cardiac MRI as part of screening before return to competitive play. Subjects were enrolled if they had no or mild symptoms, normal cardiac MRI findings with no imaging evidence of myocarditis. Feature tracking strain analysis was performed using short and long axis cine MRI images of athletes and a separate cohort of healthy controls. Differences between the cardiac strain parameters were statistically analyzed by Mann-Whitney U test. RESULTS The study cohort included 122 athletes (49 females, mean age 20 years ± 1.5 standard deviations) who had a history of COVID-19, and 35 healthy controls (24 females, mean age 34 years ± 18 standard deviations). COVID-19 positive athletes had normal physiologic cardiac adaptations, including significantly higher left and right ventricle end-diastolic volumes (p = 0.00001) when compared to healthy controls. There was no significant difference between biventricular ejection fraction between athletes and control subjects (p > 0.05). Cardiac MRI parameters, including left ventricle global longitudinal strain (LV-GLS), global circumferential strain (LV-GCS), and global radial strain (LV-GRS) values were normal but slightly lower in athletes compared to controls. LV-GCS and LV-GRS were significantly lower in athletes compared to controls (p = 0.007 and p = 0.005 respectively), but there was no significant difference for LV-GLS (p = 0.088). CONCLUSION In this study of 122 athletes, there was no evidence of subclinical myocardial alterations following recovery from COVID-19 found on cardiac MRI strain analysis. When compared to healthy controls, the competitive athletes had higher end-diastolic volume indices and reduced, albeit normal, strain values of LV-GLS, LV-GCS, and LV-GRS.
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Affiliation(s)
- Sarv Priya
- Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA, USA,Corresponding author at: Department of Radiology, University of Iowa Carver College of Medicine, 200 Hawkins Dr, Iowa City, IA 52242, USA
| | - Sabarish Narayanasamy
- Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Abigail Walling
- Medical Student (MS3), University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Ravi C. Ashwath
- Division of Pediatric Cardiology, Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, IA, USA
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Cau R, Bassareo P, Cademartiri F, Cadeddu C, Balestrieri A, Mannelli L, Suri JS, Saba L. Epicardial fat volume assessed with cardiac magnetic resonance imaging in patients with Takotsubo cardiomyopathy. Eur J Radiol 2023; 160:110706. [PMID: 36701825 DOI: 10.1016/j.ejrad.2023.110706] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 01/15/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Abstract
PURPOSE The aims of our study were to investigate with cardiovascular magnetic resonance (CMR) the role of Epicardial Fat Volume (EFV) and distribution in patients with Takotsubo cardiomyopathy (TTC). Moreover, we explored EFV in patients with TTC and related this to comorbidities, cardiac biomarkers, and cardiac function. METHODS This retrospective study performed CMR scans in 30 consecutive TTC patients and 20 healthy controls. The absolute amount of EFV was quantified in consecutive short-axis cine stacks through the modified Simpson's rule. In addition, the left atrio-ventricular groove (LV) and right ventricle (RV) Epicardial Fat Thickness (EFT) were measured as well. Besides epicardial fat, LV myocardial strain parameters and T2 mapping measurements were obtained. RESULTS TTC patients and controls were of comparable age, sex, and body mass index. Compared to healthy controls, patients with TTC demonstrated a significantly increased EFV, epicardial fat mass, and EFV indexed for body 7surface area (p = 0.005; p = 0.003; p = 0.008; respectively). In a multiple regression model including age, sex, BMI, atrial fibrillation, and dyslipidemia, TTC remained an independent association with EFV (p = 0.008). Global T2 mapping and Global longitudinal strain in patients with TTC were correlated with EFV (r = 0.63, p = 0.001, and r = 0.44, p = 0.02, respectively). CONCLUSION Patients with TTC have increased EFV compared to healthy controls, despite a similar body mass index. The amount of epicardial fat was associated with CMR markers of myocardial inflammation and subclinical contractile dysfunction.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy
| | - Pierpaolo Bassareo
- Mater Misericordiae University Hospital and Our Lady's Children's Hospital, University College of Dublin, Crumlin, Dublin, Ireland
| | | | - Christian Cadeddu
- Department of Cardiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy
| | - Antonella Balestrieri
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy
| | | | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy.
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Cau R, Pisu F, Porcu M, Cademartiri F, Montisci R, Bassareo P, Muscogiuri G, Amadu A, Sironi S, Esposito A, Suri JS, Saba L. Machine learning approach in diagnosing Takotsubo cardiomyopathy: The role of the combined evaluation of atrial and ventricular strain, and parametric mapping. Int J Cardiol 2023; 373:124-133. [PMID: 36410545 DOI: 10.1016/j.ijcard.2022.11.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/23/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) with late gadolinium enhancement (LGE) is a key diagnostic tool in the differential diagnosis between non-ischemic cause of cardiac chest pain. Some patients are not eligible for a gadolinium contrast-enhanced CMR; in this scenario, the diagnosis remains challenging without invasive examination. Our purpose was to derive a machine learning model integrating some non-contrast CMR parameters and demographic factors to identify Takotsubo cardiomyopathy (TTC) in subjects with cardiac chest pain. MATERIAL AND METHODS Three groups of patients were retrospectively studied: TTC, acute myocarditis, and healthy controls. Global and regional left ventricular longitudinal, circumferential, and radial strain (RS) analysis included were assessed. Reservoir, conduit, and booster bi-atrial functions were evaluated by tissue-tracking. Parametric mapping values were also assessed in all the patients. Five different tree-based ensemble learning algorithms were tested concerning their ability in recognizing TTC in a fully cross-validated framework. RESULTS The CMR-based machine learning (ML) ensemble model, by using the Extremely Randomized Trees algorithm with Elastic Net feature selection, showed a sensitivity of 92% (95% CI 78-100), specificity of 86% (95% CI 80-92) and area under the ROC of 0.94 (95% CI 0.90-0.99) in diagnosing TTC. Among non-contrast CMR parameters, the Shapley additive explanations analysis revealed that left atrial (LA) strain and strain rate were the top imaging markers in identifying TTC patients. CONCLUSIONS Our study demonstrated that using a tree-based ensemble learning algorithm on non-contrast CMR parameters and demographic factors enables the identification of subjects with TTC with good diagnostic accuracy. TRANSLATIONAL OUTLOOK Our results suggest that non-contrast CMR features can be implemented in a ML model to accurately identify TTC subjects. This model could be a valuable tool for aiding in the diagnosis of subjects with a contraindication to the contrast media. Furthermore, the left atrial conduit strain and strain rate were imaging markers that had a strong impact on TTC identification. Further prospective and longitudinal studies are needed to validate these findings and assess predictive performance in different cohorts, such as those with different ethnicities, and social backgrounds and undergoing different treatments.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato (Cagliari), Italy
| | - Francesco Pisu
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato (Cagliari), Italy
| | - Michele Porcu
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato (Cagliari), Italy
| | | | - Roberta Montisci
- Department of Cardiology, Azienda Ospedaliero Universitaria, Monserrato (Cagliari), Italy
| | - Pierpaolo Bassareo
- University College of Dublin, Mater Misericordiae University Hospital and Our Lady's Children's Hospital, Crumlin, Dublin, Ireland
| | - Giuseppe Muscogiuri
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy; University Milano Bicocca, Italy
| | | | - Sandro Sironi
- Department of Radiology, University of Milan-Bicocca, Milan, Italy
| | | | - Jasjit S Suri
- Stroke Monitoring and Diagnosis Division, AtheroPoint(tm) Roseville, CA, USA
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato (Cagliari), Italy.
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Zhang S, Zhou Y, Han S, Ma Y, Wang C, Hou Y. The Diagnostic and Prognostic Value of Cardiac Magnetic Resonance Strain Analysis in Heart Failure with Preserved Ejection Fraction. Contrast Media Mol Imaging 2023; 2023:5996741. [PMID: 36793498 DOI: 10.1155/2023/5996741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 10/02/2022] [Accepted: 12/24/2022] [Indexed: 02/08/2023]
Abstract
Background Strain analysis of cardiac magnetic resonance (CMR) is critical for the diagnosis and prognosis of heart failure (HF) with preserved ejection fraction (HFpEF). Our study aimed to identify the diagnostic and prognostic value of strain analysis revealed by CMR in HFpEF. Methods Participants in HFpEF and control were recruited according to the guideline. Baseline information, clinical parameters, blood samples were collected, and echocardiography and CMR examination were performed. Various parameters, including global longitudinal strain, global circumferential strain (GCS) and global radial strain in left ventricle (LV), right ventricle (RV), and left atrium, were measured from CMR. Receiver operator curve (ROC) was established to evaluate the diagnostic and prognostic value of strains in HFpEF. Results Seven strains, with the exception of RVGCS, were employed to generate ROC curves after t-test. All strains had significant diagnostic value for HFpEF. The area under curve (AUC) of LV strains was greater than 0.7 and the AUC of the combined analysis of LV strains was 0.858 (95% confidence interval (CI): 0.798-0.919, sensitivity: 0.713, specificity: 0.875, P < 0.001), indicating that they had a higher diagnostic value than individual LV strains. However, individual strains had no predictive value in identifying end-point events in HFpEF, the AUC of coanalysis of LV strains was 0.722 (95% CI: 0.573-0.872, sensitivity: 0.500, specificity: 0.959, P = 0.004), indicating its prognostic relevance. Conclusion Individual strain analysis in CMR may be useful for diagnosing HFpEF, the combination of LV strain analysis had the highest diagnostic value. Moreover, the prognostic value of individual strain analysis in predicting HFpEF outcome was not satisfactory while the combined usage of LV strain analysis was prognostically valuable in HFpEF outcome prediction.
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Zlibut A, Cojocaru C, Onciul S, Agoston-Coldea L. Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview. Diagnostics (Basel) 2023; 13. [PMID: 36766658 DOI: 10.3390/diagnostics13030553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Subclinical alterations in myocardial structure and function occur early during the natural disease course. In contrast, clinically overt signs and symptoms occur during late phases, being associated with worse outcomes. Identification of such subclinical changes is critical for timely diagnosis and accurate management. Hence, implementing cost-effective imaging techniques with accuracy and reproducibility may improve long-term prognosis. A growing body of evidence supports using cardiac magnetic resonance (CMR) to quantify deformation parameters. Tissue-tagging (TT-CMR) and feature-tracking CMR (FT-CMR) can measure longitudinal, circumferential, and radial strains and recent research emphasize their diagnostic and prognostic roles in ischemic heart disease and primary myocardial illnesses. Additionally, these methods can accurately determine LV wringing and functional dynamic geometry parameters, such as LV torsion, twist/untwist, LV sphericity index, and long-axis strain, and several studies have proved their utility in prognostic prediction in various cardiovascular patients. More recently, few yet important studies have suggested the superiority of fast strain-encoded imaging CMR-derived myocardial strain in terms of accuracy and significantly reduced acquisition time, however, more studies need to be carried out to establish its clinical impact. Herein, the current review aims to provide an overview of currently available data regarding the role of CMR in evaluating myocardial strain and biomechanics.
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Yu S, Klomjit N, Jiang K, Zhu XY, Ferguson CM, Conley SM, Obeidat Y, Kellogg TA, McKenzie T, Heimbach JK, Lerman A, Lerman LO. Human Obesity Attenuates Cardioprotection Conferred by Adipose Tissue-Derived Mesenchymal Stem/Stromal Cells. J Cardiovasc Transl Res 2023; 16:221-232. [PMID: 35616881 DOI: 10.1007/s12265-022-10279-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/17/2022] [Indexed: 12/15/2022]
Abstract
To explore the impact of obesity on reparative potency of adipose tissue-derived mesenchymal stromal/stem cells (A-MSC) in hypertensive cardiomyopathy, A-MSC were harvested from subcutaneous fat of obese and age-matched non-obese human subjects during bariatric or kidney donation surgeries, and then injected into mice 2 weeks after inducing renovascular hypertension (RVH) or sham surgery. Two weeks later, left ventricular (LV) function and deformation were estimated in vivo by micro-magnetic resonance imaging and myocardial damage ex vivo. Blood pressure and myocardial wall thickening were elevated in RVH + Vehicle and normalized only by lean-A-MSC. Both A-MSC types reduced LV mass and normalized the reduced LV peak strain radial in RVH, yet obese-A-MSC also impaired LV systolic function. A-MSC alleviated myocardial tissue damage in RVH, but lean-A-MSC decreased oxidative stress more effectively. Obese-A-MSC also showed increased cellular inflammation in vitro. Therefore, obese-A-MSC are less effective than lean-A-MSC in blunting hypertensive cardiomyopathy in mice with RVH.
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Affiliation(s)
- Shasha Yu
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
- Department of Cardiology, First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Nattawat Klomjit
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Kai Jiang
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Xiang Y Zhu
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Christopher M Ferguson
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Sabena M Conley
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Yasin Obeidat
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | | | | | | | - Amir Lerman
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lilach O Lerman
- Division of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
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Ansah D, Husain N, Ruh A, Berhane H, Smith A, Thompson A, De Freitas A, Rigsby CK, Robinson JD. Cardiac Magnetic Resonance Strain in Beta Thalassemia Major Correlates with Cardiac Iron Overload. Children (Basel) 2023; 10. [PMID: 36832400 DOI: 10.3390/children10020271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 01/17/2023] [Accepted: 01/27/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND Beta thalassemia major (Beta-TM) is an inherited condition which presents at around two years of life. Patients with Beta-;TM may develop cardiac iron toxicity secondary to transfusion dependence. Cardiovascular magnetic resonance (CMR) T2*, a technique designed to quantify myocardial iron deposition, is a driving component of disease management. A decreased T2* value represents increasing cardiac iron overload. The clinical manifestation is a decline in ejection fraction (EF). However, there may be early subclinical changes in cardiac function that are not detected by changes in EF. CMR-derived strain assesses myocardial dysfunction prior to decline in EF. Our primary aim was to assess the correlation between CMR strain and T2* in the Beta-TM population. METHODS Circumferential and longitudinal strain was analyzed. Pearson's correlation was calculated for T2* values and strain in the Beta-TM population. RESULTS We identified 49 patients and 18 controls. Patients with severe disease (low T2*) were found to have decreased global circumferential strain (GCS) in comparison to other T2* groups. A correlation was identified between GCS and T2* (r = 0.5; p < 0.01). CONCLUSION CMR-derived strain can be a clinically useful tool to predict early myocardial dysfunction in Beta-TM.
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Lu J, Zhao P, Qiao J, Yang Z, Tang D, Zhou X, Huang L, Xia L. The major factor of left ventricular systolic dysfunction in patients with cardiac amyloidosis: Amyloid overload or microcirculation impairment? Front Cardiovasc Med 2023; 10:1096130. [PMID: 36776256 PMCID: PMC9909486 DOI: 10.3389/fcvm.2023.1096130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 01/12/2023] [Indexed: 01/27/2023] Open
Abstract
Purpose Amyloid overload and microcirculation impairment are both detrimental to left ventricular (LV) systolic function, while it is not clear which factor dominates LV functional remodeling in patients with cardiac amyloidosis (CA). The purpose of this study was to investigate the major factor of LV systolic dysfunction using cardiac magnetic resonance imaging. Materials and methods Forty CA patients and 20 healthy controls were included in this study. The CA group was divided into two subgroups by the left ventricular ejection fraction (LVEF): patients with reduced LVEF (LVEF < 50%, rLVEF), and patients with preserved LVEF (LVEF ≥ 50%, pLVEF). The scanning sequences included cine, native and post-contrast T1 mapping, rest first-pass perfusion and late gadolinium enhancement. Perfusion and mapping parameters were compared among the three groups. Correlation analysis was performed to evaluate the relationship between LVEF and mapping parameters, as well as the relationship between LVEF and perfusion parameters. Results Remarkably higher native T1 value was observed in the rLVEF patients than the pLVEF patients (1442.2 ± 85.8 ms vs. 1407.0 ± 93.9 ms, adjusted p = 0.001). The pLVEF patients showed significantly lower slope dividing baseline signal intensity (slope%BL; rLVEF vs. pLVEF, 55.1 ± 31.0 vs. 46.2 ± 22.3, adjusted p = 0.001) and a lower maximal signal intensity subtracting baseline signal intensity (MaxSI-BL; rLVEF vs. pLVEF, 43.5 ± 23.9 vs. 37.0 ± 18.6, adjusted p = 0.003) compared to the rLVEF patients. CA patients required more time to reach the maximal signal intensity than the controls did (all adjusted p < 0.01). There was no significant correlation between LVEF and first-pass perfusion parameters, while significant negative correlation was observed between LVEF and native T1 (r = -0.434, p = 0.005) in CA patients. Conclusion Amyloid overload in the myocardial interstitium may be the major factor of LV systolic dysfunction in CA patients, other than microcirculation impairment.
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Affiliation(s)
- Jianyao Lu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peijun Zhao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,The Department of MRI, First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Jinhan Qiao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhaoxia Yang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dazhong Tang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
| | - Lu Huang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Lu Huang, ✉
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Liming Xia, ✉
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Tuna EE, Franson D, Seiberlich N, Çavuşoğlu MC. Deformable cardiac surface tracking by adaptive estimation algorithms. Sci Rep 2023; 13:1387. [PMID: 36697497 PMCID: PMC9877032 DOI: 10.1038/s41598-023-28578-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 01/20/2023] [Indexed: 01/26/2023] Open
Abstract
This study presents a particle filter based framework to track cardiac surface from a time sequence of single magnetic resonance imaging (MRI) slices with the future goal of utilizing the presented framework for interventional cardiovascular magnetic resonance procedures, which rely on the accurate and online tracking of the cardiac surface from MRI data. The framework exploits a low-order parametric deformable model of the cardiac surface. A stochastic dynamic system represents the cardiac surface motion. Deformable models are employed to introduce shape prior to control the degree of the deformations. Adaptive filters are used to model complex cardiac motion in the dynamic model of the system. Particle filters are utilized to recursively estimate the current state of the system over time. The proposed method is applied to recover biventricular deformations and validated with a numerical phantom and multiple real cardiac MRI datasets. The algorithm is evaluated with multiple experiments using fixed and varying image slice planes at each time step. For the real cardiac MRI datasets, the average root-mean-square tracking errors of 2.61 mm and 3.42 mm are reported respectively for the fixed and varying image slice planes. This work serves as a proof-of-concept study for modeling and tracking the cardiac surface deformations via a low-order probabilistic model with the future goal of utilizing this method for the targeted interventional cardiac procedures under MR image guidance. For the real cardiac MRI datasets, the presented method was able to track the points-of-interests located on different sections of the cardiac surface within a precision of 3 pixels. The analyses show that the use of deformable cardiac surface tracking algorithm can pave the way for performing precise targeted intracardiac ablation procedures under MRI guidance. The main contributions of this work are twofold. First, it presents a framework for the tracking of whole cardiac surface from a time sequence of single image slices. Second, it employs adaptive filters to incorporate motion information in the tracking of nonrigid cardiac surface motion for temporal coherence.
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Affiliation(s)
- E Erdem Tuna
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
| | - Dominique Franson
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Nicole Seiberlich
- Department of Radiology, Michigan Medicine, University of Michigan, Ann-Anbor, MI, 48109, USA
| | - M Cenk Çavuşoğlu
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
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Qian WL, Xu R, Shi R, Li Y, Guo YK, Fang H, jiang L, Yang ZG. The worsening effect of anemia on left ventricular function and global strain in type 2 diabetes mellitus patients: a 3.0 T CMR feature tracking study. Cardiovasc Diabetol 2023; 22:15. [PMID: 36694151 PMCID: PMC9875473 DOI: 10.1186/s12933-023-01745-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 01/17/2023] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE To explore the additive effects of anemia on left ventricular (LV) global strains in patients with type 2 diabetes mellitus (T2DM) with or without anemia via cardiac magnetic resonance (CMR) feature tracking technology. MATERIALS AND METHODS 236 T2DM patients with or without anemia and 67 controls who underwent CMR examination were retrospectively enrolled. LV function parameters, LV global radial peak strain (GRPS), longitudinal peak strain (GLPS), and circumferential peak strain (GCPS) were used to analyze the function and global strain of the heart. One-way analysis of variance and the chi-square test were used for intergroup analysis. Multivariable linear regression analysis was performed for the two T2DM groups to explore factors associated with LV global strains. RESULTS The T2DM group with anemia was oldest and had a lowest hemoglobin (Hb) concentration, lowest estimated glomerular filtration rate, highest LV end-systolic volume index, highest end-diastolic volume index and highest LV mass index than the control group and T2DM without anemia group (all P ≤ 0.001). Besides, The LV global peak strains in all three directions worsened successively from the control group to the T2DM without anemia group to the T2DM with anemia group (all p < 0.001). Among all clinical indices, the decrease in Hb was independently associated with the worsening in GRPS (β = 0.237, p = 0.001), GCPS (β = 0.326, p < 0.001), and GLPS (β = 0.265, p < 0.001). CONCLUSION Anemia has additive deleterious effects on LV function and LV global strains in patients with T2DM. Regular detection and early intervention of anemia might be beneficial for T2DM patients.
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Affiliation(s)
- Wen-Lei Qian
- grid.412901.f0000 0004 1770 1022Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041 Sichuan China
| | - Rong Xu
- grid.461863.e0000 0004 1757 9397Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# South Renmin Road, Chengdu, 610041 Sichuan China
| | - Rui Shi
- grid.412901.f0000 0004 1770 1022Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041 Sichuan China
| | - Yuan Li
- grid.412901.f0000 0004 1770 1022Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041 Sichuan China
| | - Ying-Kun Guo
- grid.461863.e0000 0004 1757 9397Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# South Renmin Road, Chengdu, 610041 Sichuan China
| | - Han Fang
- grid.412901.f0000 0004 1770 1022Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041 Sichuan China
| | - Li jiang
- grid.412901.f0000 0004 1770 1022Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041 Sichuan China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
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Bakogiannis C, Mouselimis D, Tsarouchas A, Papatheodorou E, Vassilikos VP, Androulakis E. Hypertrophic cardiomyopathy or athlete's heart? A systematic review of novel cardiovascular magnetic resonance imaging parameters. Eur J Sport Sci 2023; 23:143-154. [PMID: 34720041 DOI: 10.1080/17461391.2021.2001576] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) is a common cause of sudden cardiac death in athletes. Cardiac Magnetic Resonance (CMR) imaging is considered an excellent tool to differentiate between HCM and athlete's heart. The aim of this systematic review was to highlight the novel CMR-derived parameters with significant discriminative capacity between the two conditions. A systematic search in the MEDLINE, EMBASE and Cochrane Reviews databases was performed. Eligible studies were considered the ones comparing novel CMR-derived parameters on athletes and HCM patients. Therefore, studies that only examined Cine-derived volumetric parameters were excluded. Particular attention was given to binary classification results from multi-variate regression models and ROC curve analyses. Bias assessment was performed with the Quality Assessment on Diagnostic Accuracy Studies. Five (5) studies were included in the systematic review, with a total of 284 athletes and 373 HCM patients. Several novel indices displayed discriminatory potential, such as native T1 mapping and T2 values, LV global longitudinal strain, late gadolinium enhancement and whole-LV fractal dimension. Diffusion tensor imaging enabled quantification of the secondary eigenvalue angle and fractional anisotropy in one study, which also proved capable of reliably detecting HCM in a mixed athlete/patient sample. Several novel CMR-derived parameters, most of which are currently under development, show promising results in discerning between athlete's heart and HCM. Prospective studies examining the discriminatory capacity of all promising modalities side-by-side will yield definitive answers on their relative importance; diagnostic models can incorporate the best performing variables for optimal results.
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Affiliation(s)
- Constantinos Bakogiannis
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitrios Mouselimis
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anastasios Tsarouchas
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Vassilios P Vassilikos
- Cardiovascular Prevention and Digital Cardiology Lab, Third Department of Cardiology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Wang F, Deng Y, Li S, Cheng Q, Wang Q, Yu D, Wang Q. CMR left ventricular strains beyond global longitudinal strain in differentiating light-chain cardiac amyloidosis from hypertrophic cardiomyopathy. Front Cardiovasc Med 2023; 10:1108408. [PMID: 37206101 PMCID: PMC10188937 DOI: 10.3389/fcvm.2023.1108408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 04/17/2023] [Indexed: 05/21/2023] Open
Abstract
Background The clinical value of left ventricular (LV) global longitudinal strain (GLS) in the differential diagnosis of light-chain cardiac amyloidosis (AL-CA) and hypertrophic cardiomyopathy (HCM) has been previously reported. In this study, we analyzed the potential clinical value of the LV long-axis strain (LAS) to discriminate AL-CA from HCM. Furthermore, we analyzed the association between all the LV global strain parameters derived from cardiac magnetic resonance (CMR) feature tracking and LAS in both the AL-CA and HCM patients to assess the differential diagnostic efficacies of these global peak systolic strains. Materials and methods Thus, this study enrolled 89 participants who underwent cardiac MRI (CMRI), consisting of 30 AL-CA patients, 30 HCM patients, and 29 healthy controls. The intra- and inter-observer reproducibility of the LV strain parameters including GLS, global circumferential strain (GCS), global radial strain (GRS), and LAS were assessed in all the groups and compared. Receiver operating characteristic (ROC) curve analysis was performed to determine the diagnostic performances of the CMR strain parameters in discriminating AL-CA from HCM. Results The intra- and inter-observer reproducibility of the LV global strains and LAS were excellent (range of interclass correlation coefficients: 0.907-0.965). ROC curve analyses showed that the differential diagnostic performances of the global strains in discriminating AL-CA from HCM were good to excellent (GRS, AUC = 0.921; GCS, AUC = 0.914; GLS, AUC = 0.832). Furthermore, among all the strain parameters analyzed, LAS showed the highest diagnostic efficacy in differentiating between AL-CA and HCM (AUC = 0.962). Conclusion CMRI-derived strain parameters such as GLS, LAS, GRS, and GCS are promising diagnostic indicators that distinguish AL-CA from HCM with high accuracy. LAS showed the highest diagnostic accuracy among all the strain parameters.
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Affiliation(s)
- Fangqing Wang
- Department of Radiology, Qilu Hospital, Shandong University, Jinan, China
| | - Yan Deng
- Department of Radiology, Qilu Hospital, Shandong University, Jinan, China
| | - Shunjia Li
- Department of Radiation Oncology, Qilu Hospital, Shandong University, Jinan, China
| | - Qichao Cheng
- Department of Radiology, Qilu Hospital, Shandong University, Jinan, China
| | - Qing Wang
- Department of Radiology, Qilu Hospital, Shandong University, Jinan, China
| | - Dexin Yu
- Department of Radiology, Qilu Hospital, Shandong University, Jinan, China
| | - Qian Wang
- Department of Radiology, Qilu Hospital, Shandong University, Jinan, China
- Correspondence: Qian Wang
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