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Đorđević DB, Koračević GP, Đorđević AD, Lović DB. Hypertension and left ventricular hypertrophy. J Hypertens 2024; 42:1505-1515. [PMID: 38747417 DOI: 10.1097/hjh.0000000000003774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2024]
Abstract
In the initial stage, left ventricular hypertrophy (LVH) is adaptive, but in time, it transforms to maladaptive LVH which is specific for the development of various phenotypes that cause heart failure, initially with preserved, but later with reduced left ventricular ejection fraction. Pathophysiological mechanisms, which are characteristic for remodeling procedure, are numerous and extremely complex, and should be subjected to further research with the aim of making a comprehensive overview of hypertensive heart disease (HHD) and discovering new options for preventing and treating HHD. The contemporary methods, such as cardiac magnetic resonance (CMR) and computed tomography (CT) provide very accurate morphological and functional information on HHD. The objective of this review article is to summarize the available scientific information in terms of prevalence, pathophysiology, diagnostics, prevention, contemporary therapeutic options, as well as to present potential therapeutic solutions based on the research of pathological mechanisms which are at the core of HHD.
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Affiliation(s)
- Dragan B Đorđević
- Faculty of Medicine, University of Nis
- Institute for Treatment and Rehabilitation Niska Banja
| | - Goran P Koračević
- Faculty of Medicine, University of Nis
- Department for Cardiovascular Diseases, Clinical Center Nis, Nis, Serbia
| | | | - Dragan B Lović
- Clinic for Internal Diseases Intermedica, Singidunum University Nis, Jovana Ristica, Nis, Serbia
- Veterans Affair Medical Centre, Washington DC, USA
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2
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Zhao Q, Chen Z, Qi C, Xu S, Ren R, Li W, Zhang X, Zhang Y. Cardiac magnetic resonance imaging for discrimination of hypertensive heart disease and hypertrophic cardiomyopathy: a systematic review and meta-analysis. Front Cardiovasc Med 2024; 11:1421013. [PMID: 39156132 PMCID: PMC11327824 DOI: 10.3389/fcvm.2024.1421013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 07/19/2024] [Indexed: 08/20/2024] Open
Abstract
Introduction Differentiating hypertensive heart disease (HHD) from hypertrophic cardiomyopathy (HCM) is crucial yet challenging due to overlapping clinical and morphological features. Recent studies have explored the use of various cardiac magnetic resonance (CMR) parameters to distinguish between these conditions, but findings have remained inconclusive. This study aims to identify which CMR parameters effectively discriminate between HHD and HCM and to investigate their underlying pathophysiological mechanisms through a meta-analysis. Methods The researchers conducted a systematic and comprehensive search for all studies that used CMR to discriminate between HHD and HCM and calculated the Hedges'g effect size for each of the included studies, which were then pooled using a random-effects model and tested for the effects of potential influencing variables through subgroup and regression analyses. Results In this review, 26 studies encompassing 1,349 HHD and 1,581 HCM cases were included for meta-analysis. Analysis revealed that HHD showed a significant lower in T1 mapping (g = -0.469, P < 0.001), extracellular volume (g = -0.417, P = 0.024), left ventricular mass index (g = -0.437, P < 0.001), and maximal left ventricular wall thickness (g = -2.076, P < 0.001), alongside a significant higher in end-systolic volume index (g = 0.993, P < 0.001) and end-diastolic volume index (g = 0.553, P < 0.001), compared to HCM. Conclusion This study clearly demonstrates that CMR parameters can effectively differentiate between HHD and HCM. HHD is characterized by significantly lower diffuse interstitial fibrosis and myocardial hypertrophy, along with better-preserved diastolic function but lower systolic function, compared to HCM. The findings highlight the need for standardized CMR protocols, considering the significant influence of MRI machine vendors, post-processing software, and study regions on diagnostic parameters. These insights are crucial for improving diagnostic accuracy and optimizing treatment strategies for patients with HHD and HCM. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023470557, PROSPERO (CRD42023470557).
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Affiliation(s)
| | | | | | | | | | | | | | - Yang Zhang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
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Hu M, Song Y, Yang C, Wang J, Zhu W, Kan A, Yang P, Dai J, Yu H, Gong L. The value of myocardial contraction fraction and long-axis strain to predict late gadolinium enhancement in multiple myeloma patients with secondary cardiac amyloidosis. Sci Rep 2024; 14:16832. [PMID: 39039146 PMCID: PMC11263677 DOI: 10.1038/s41598-024-67544-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 07/12/2024] [Indexed: 07/24/2024] Open
Abstract
The aim of this study is to assess the effectiveness of conventional and two additional functional markers derived from standard cardiac magnetic resonance (CMR) images in detecting the occurrence of late gadolinium enhancement (LGE) in patients with secondary cardiac amyloidosis (CA) related to multiple myeloma (MM). This study retrospectively included 32 patients with preserved ejection fraction (EF) who had MM-CA diagnosed consecutively. Conventional left ventricular (LV) function markers and two additional functional markers, namely myocardial contraction fraction (MCF) and LV long-axis strain (LAS), were obtained using commercial cardiac post-processing software. Logistic regression analyses and receiver operating characteristic (ROC) analysis were performed to evaluate the predictive performances. (1) There were no notable distinctions in clinical features between the LGE+ and LGE- groups, with the exception of a reduced systolic blood pressure in the former (105.60 ± 18.85 mmHg vs. 124.50 ± 20.95 mmHg, P = 0.022). (2) Patients with MM-CA presented with intractable heart failure with preserved ejection fraction (HFpEF). The LVEF in the LGE+ group exhibited a greater reduction (54.27%, IQR 51.59-58.39%) in comparison to the LGE- group (P < 0.05). And MM-CA patients with LGE+ had significantly higher LVMI (90.15 ± 23.69 g/m2), lower MCF (47.39%, IQR 34.28-54.90%), and the LV LAS were more severely damaged (- 9.94 ± 3.42%) than patients with LGE- (all P values < 0.05). (3) The study found that MCF exhibited a significant independent association with LGE, as indicated by an odds ratio of 0.89 (P < 0.05). The cut-off value for MCF was determined to be 64.25% with a 95% confidence interval ranging from 0.758 to 0.983. The sensitivity and specificity of this association were calculated to be 95% and 83%, respectively. MCF is a simple reproducible predict marker of LGE in MM-CA patients. It is a potentially CMR-based method that promise to reduce scan times and costs, and boost the accessibility of CMR.
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Affiliation(s)
- Mengyao Hu
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Yipei Song
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Chunhua Yang
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Jiazhao Wang
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Wei Zhu
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Ao Kan
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Pei Yang
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Jiankun Dai
- Clinical and Technical Support, GE Healthcare, Beijing, People's Republic of China
| | - Honghui Yu
- Department of Radiology, The First Affiliated Hospital of Nanchang University, No.17, Yongwai Zheng Street, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China.
| | - Lianggeng Gong
- Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China.
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Tu C, Shen H, Li X, Wang X, Miao Z, Deng W, Liu R, Lan X, Chen H, Zhang J. Longitudinal Evaluation of Coronary Arteries and Myocardium in Breast Cancer Using Coronary Computed Tomographic Angiography. JACC Cardiovasc Imaging 2024:S1936-878X(24)00229-8. [PMID: 39001732 DOI: 10.1016/j.jcmg.2024.05.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 05/13/2024] [Accepted: 05/17/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND The association of coronary computed tomography angiography (CTA) and left ventricular (LV) myocardium measurements with cancer therapy-related cardiac dysfunction (CTRCD) is limited. OBJECTIVES In this study, the authors sought to evaluate the changes in coronary arteries and LV myocardium in patients with left breast cancer (BC) receiving anthracycline with or without radiotherapy, with the use of coronary CTA. METHODS Participants with left BC receiving anthracycline with or without radiotherapy were prospectively included. All participants underwent coronary CTA before and after treatment, including nonenhanced calcium-scoring scan, computed tomography angiography, and dual-energy late enhancement scan. Computed tomographic fractional flow reserve (CT-FFR), pericoronary adipose tissue (PCAT) CT attenuation, and LV segments' extracellular volume (ECV) before and after treatment were compared. Logistic regression analysis was used to assess the association between baseline coronary CTA parameters and CTRCD. RESULTS Eighty participants receiving anthracycline and 59 participants receiving anthracycline with radiotherapy were included. CT-FFR decreased and PCAT CT attenuation and LV global and segments' ECV increased after treatment (all P < 0.05). After chemoradiotherapy, CT-FFR was lower and PCAT CT attenuation and LV myocardial ECV were higher than after chemotherapy. Twenty-four participants developed CTRCD. After adjustment by Heart Failure Association-International Cardio-Oncology Society risk in multivariable logistic regression analysis, baseline stenosis of the left anterior descending artery (LAD) (OR: 1.987 [95% CI: 1.322-2.768]; P = 0.021), left circumflex artery (LCX) (OR: 1.895 [95% CI: 1.281-2.802]; P = 0.031), and right coronary artery (RCA) (OR: 1.920 [95% CI: 1.405-2.811]; P = 0.028), and baseline CT-FFR of the LAD (OR: 3.425 [95% CI: 1.621-9.434]; P < 0.001), LCX (OR: 2.058 [95% CI: 1.030-5.076]; P = 0.006), and RCA (OR: 2.469 [95% CI: 1.232-6.944]; P = 0.004) were associated with CTRCD. CONCLUSIONS Multiparameter coronary CTA contributes to comprehensive assessment of the coronary arteries and myocardium in patients with left BC receiving anthracycline with or without radiotherapy. Baseline coronary artery stenosis and CT-FFR might be imaging markers for predicting CTRCD in these patients.
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Affiliation(s)
- Chunrong Tu
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Hesong Shen
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Xiaoqin Li
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Xing Wang
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Zhiming Miao
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Wei Deng
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Renwei Liu
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Xiaosong Lan
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Huifang Chen
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, and Chongqing Cancer Hospital, Chongqing, China.
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Eckstein J, Skeries V, Pöhler G, Babazade N, Kaireit T, Gutberlet M, Kornemann N, Hellms S, Pfeil A, Bucher AM, Hansmann G, Beerbaum P, Hansen G, Wacker F, Vogel-Claussen J, Wetzke M, Renz DM. Multiparametric Cardiovascular MRI Assessment of Post-COVID Syndrome in Children in Comparison to Matched Healthy Individuals. Invest Radiol 2024; 59:472-478. [PMID: 38117123 DOI: 10.1097/rli.0000000000001048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
BACKGROUND Post-COVID syndrome (PCS) can adversely affect the quality of life of patients and their families. In particular, the degree of cardiac impairment in children with PCS is unknown. OBJECTIVE The aim of this study was to identify potential cardiac inflammatory sequelae in children with PCS compared with healthy controls. METHODS This single-center, prospective, intraindividual, observational study assesses cardiac function, global and segment-based strains, and tissue characterization in 29 age- and sex-matched children with PCS and healthy children using a 3 T magnetic resonance imaging (MRI). RESULTS Cardiac MRI was carried out over 36.4 ± 24.9 weeks post-COVID infection. The study cohort has an average age of 14.0 ± 2.8 years, for which the majority of individuals experience from fatigue, concentration disorders, dyspnea, dizziness, and muscle ache. Children with PSC in contrast to the control group exhibited elevated heart rate (83.7 ± 18.1 beats per minute vs 75.2 ± 11.2 beats per minute, P = 0.019), increased indexed right ventricular end-diastolic volume (95.2 ± 19.2 mlm -2 vs 82.0 ± 21.5 mlm -2 , P = 0.018) and end-systolic volume (40.3 ± 7.9 mlm -2 vs 34.8 ± 6.2 mlm -2 , P = 0.005), and elevated basal and midventricular T1 and T2 relaxation times ( P < 0.001 to P = 0.013). Based on the updated Lake Louise Criteria, myocardial inflammation is present in 20 (69%) children with PCS. No statistically significant difference was observed for global strains. CONCLUSIONS Cardiac MRI revealed altered right ventricular volumetrics and elevated T1 and T2 mapping values in children with PCS, suggestive for a diffuse myocardial inflammation, which may be useful for the diagnostic workup of PCS in children.
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Affiliation(s)
- Jan Eckstein
- From the Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (J.E., G.P., N.B., T.K., M.G., N.K., S.H., F.W., J.V.-C., D.M.R.); Clinic for Pediatric Pneumology, Allergology, and Neonatology, Hannover Medical School, Hannover, Germany (V.S., G.H., M.W.); Department of Internal Medicine III, University Hospital Jena, Jena, Germany (A.P.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (A.M.B.); and Clinic for Pediatric Cardiology and Intensive Care, Hannover Medical School, Hannover, Germany (G.H., P.B.)
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Erley J, Jahnke CM, Schüttler S, Molwitz I, Chen H, Meyer M, Muellerleile K, Cavus E, Lund GK, Blankenberg S, Adam G, Tahir E. Sex-specific ventricular morphology, function, and tissue characteristics in arterial hypertension: a magnetic resonance study of the Hamburg city health cohort. Eur Radiol 2024:10.1007/s00330-024-10797-2. [PMID: 38819515 DOI: 10.1007/s00330-024-10797-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/08/2024] [Accepted: 04/10/2024] [Indexed: 06/01/2024]
Abstract
OBJECTIVE To determine the influence of arterial hypertension (AHT), sex, and the interaction between both left- and right ventricular (LV, RV) morphology, function, and tissue characteristics. METHODS The Hamburg City Health Study (HCHS) is a population-based, prospective, monocentric study. 1972 individuals without a history of cardiac diseases/ interventions underwent 3 T cardiac MR imaging (CMR). Generalized linear models were conducted, including AHT, sex (and the interaction if significant), age, body mass index, place of birth, diabetes mellitus, smoking, hyperlipoproteinemia, atrial fibrillation, and medication. RESULTS Of 1972 subjects, 68% suffered from AHT. 42% with AHT and 49% controls were female. Females overall showed a higher ejection fraction (EF) (LV: regression coefficient +2.4% [95% confidence interval: 1.7; 3.1]), lower volumes and LV mass (-19.8% [-21.3; -18.5]), and prolonged native septal T1 (+22.1 ms [18.3; 25.9])/T2 relaxation times (+1.1 ms [0.9; 1.3]) (all p < 0.001) compared to males. Subjects with AHT showed a higher EF (LV: +1.2% [0.3; 2.0], p = 0.009) and LV mass (+6.6% [4.3; 9.0], p < 0.001) than controls. The interaction between sex and AHT influenced mapping. After excluding segments with LGE, males (-0.7 ms [-1.0; -0.3 | ) and females with AHT (-1.1 ms [-1.6; -0.6]) showed shorter T2 relaxation times than the sex-respective controls (p < 0.001), but the effect was stronger in females. CONCLUSION In the HCHS, female and male subjects with AHT likewise showed a higher EF and LV mass than controls, independent of sex. However, differences in tissue characteristics between subjects with AHT and controls appeared to be sex-specific. CLINICAL RELEVANCE STATEMENT The interaction between sex and cardiac risk factors is an underestimated factor that should be considered when comparing tissue characteristics between hypertensive subjects and controls, and when establishing cut-off values for normal and pathological relaxation times. KEY POINTS There are sex-dependent differences in arterial hypertension, but it is unclear if cardiac MR parameters are sex-specific. Differences in cardiac MR parameters between hypertensive subjects and healthy controls appeared to be sex-specific for tissue characteristics. Sex needs to be considered when comparing tissue characteristics in patients with arterial hypertension to healthy controls.
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Affiliation(s)
- Jennifer Erley
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Charlotte M Jahnke
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
- Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (DZHK, German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| | - Samuel Schüttler
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Isabel Molwitz
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hang Chen
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mathias Meyer
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kai Muellerleile
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
- Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (DZHK, German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| | - Ersin Cavus
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
- Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (DZHK, German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| | - Gunnar K Lund
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Blankenberg
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
- Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (DZHK, German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Enver Tahir
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Garg P, Grafton-Clarke C, Matthews G, Swoboda P, Zhong L, Aung N, Thomson R, Alabed S, Demirkiran A, Vassiliou VS, Swift AJ. Sex-specific cardiac magnetic resonance pulmonary capillary wedge pressure. EUROPEAN HEART JOURNAL OPEN 2024; 4:oeae038. [PMID: 38751456 PMCID: PMC11095051 DOI: 10.1093/ehjopen/oeae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/23/2024] [Accepted: 04/28/2024] [Indexed: 05/18/2024]
Abstract
Aims Heart failure (HF) with preserved ejection fraction disproportionately affects women. There are no validated sex-specific tools for HF diagnosis despite widely reported differences in cardiac structure. This study investigates whether sex, as assigned at birth, influences cardiac magnetic resonance (CMR) assessment of left ventricular filling pressure (LVFP), a hallmark of HF agnostic to ejection fraction. Methods and results A derivation cohort of patients with suspected pulmonary hypertension and HF from the Sheffield centre underwent invasive right heart catheterization and CMR within 24 h of each other. A sex-specific CMR model to estimate LVFP, measured as pulmonary capillary wedge pressure (PCWP), was developed using multivariable regression. A validation cohort of patients with confirmed HF from the Leeds centre was used to evaluate for the primary endpoints of HF hospitalization and major adverse cardiovascular events (MACEs). Comparison between generic and sex-specific CMR-derived PCWP was undertaken. A total of 835 (60% female) and 454 (36% female) patients were recruited into the derivation and validation cohorts respectively. A sex-specific model incorporating left atrial volume and left ventricular mass was created. The generic CMR PCWP showed significant differences between males and females (14.7 ± 4 vs. 13 ± 3.0 mmHg, P > 0.001), not present with the sex-specific CMR PCWP (14.1 ± 3 vs. 13.8 mmHg, P = 0.3). The sex-specific, but not the generic, CMR PCWP was associated with HF hospitalization (hazard ratio 3.9, P = 0.0002) and MACE (hazard ratio 2.5, P = 0.001) over a mean follow-up period of 2.4 ± 1.2 years. Conclusion Accounting for sex improves precision and prognostic performance of CMR biomarkers for HF.
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Affiliation(s)
- Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich Research Park, Rosalind Franklin Road, Norwich NR4 7UQ, UK
- Department of Cardiology, Norfolk and Norwich University NHS Foundation Trust, Colney Lane, Norwich NR4 7UY, UK
| | - Ciaran Grafton-Clarke
- Norwich Medical School, University of East Anglia, Norwich Research Park, Rosalind Franklin Road, Norwich NR4 7UQ, UK
- Department of Cardiology, Norfolk and Norwich University NHS Foundation Trust, Colney Lane, Norwich NR4 7UY, UK
| | - Gareth Matthews
- Norwich Medical School, University of East Anglia, Norwich Research Park, Rosalind Franklin Road, Norwich NR4 7UQ, UK
- Department of Cardiology, Norfolk and Norwich University NHS Foundation Trust, Colney Lane, Norwich NR4 7UY, UK
| | - Peter Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore
- Signature Programme of Cardiovascular Metabolic and Disorders, Duke-NUS Medical School, 8 College Road, Singapore
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Ross Thomson
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Samer Alabed
- National Institute for Health and Care Research, Sheffield Biomedical Research Centre, Sheffield, UK
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Ahmet Demirkiran
- Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Cardiology, Kocaeli City Hospital, Kocaeli, Turkey
| | - Vassilios S Vassiliou
- Norwich Medical School, University of East Anglia, Norwich Research Park, Rosalind Franklin Road, Norwich NR4 7UQ, UK
- Department of Cardiology, Norfolk and Norwich University NHS Foundation Trust, Colney Lane, Norwich NR4 7UY, UK
| | - Andrew J Swift
- National Institute for Health and Care Research, Sheffield Biomedical Research Centre, Sheffield, UK
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
- INSIGNEO, Institute for in silico Medicine, University of Sheffield, Sheffield, UK
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Steen H, Montenbruck M, Kallifatidis A, André F, Frey N, Kelle S, Korosoglou G. Multi-parametric non-contrast cardiac magnetic resonance for the differentiation between cardiac amyloidosis and hypertrophic cardiomyopathy. Clin Res Cardiol 2024; 113:469-480. [PMID: 38095711 DOI: 10.1007/s00392-023-02348-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 11/20/2023] [Indexed: 02/22/2024]
Abstract
AIM To evaluate the ability of fast strain-encoded (SENC) cardiac magnetic resonance (CMR) derived myocardial strain and native T1 mapping to discriminate between hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis. METHODS Ninety nine patients (57 with hypertrophic cardiomyopathy and 42 with cardiac amyloidosis) were systematically analysed. LV-ejection fraction, LV-mass index, septal wall thickness and native T1 mapping values were assessed. In addition, global circumferential and longitudinal strain and segmental circumferential and longitudinal strain in basal, mid-ventricular, and apical segments were calculated. A ratio was built by dividing native T1 values by basal segmental strain (T1-to-basal segmental strain ratio). RESULTS Myocardial strain was equally distributed in apical and basal segments in HCM patients, whereas an apical sparing with less impaired apical strain was noticed in cardiac amyloidosis (apical-to-basal-ratio of 1.01 ± 0.23 versus 1.20 ± 0.28, p < 0.001). T1 values were significantly higher in amyloidosis compared to HCM patients (1170.7 ± 66.4 ms versus 1078.3 ± 57.4ms, p < 0.001). The T1-to-basal segmental strain ratio exhibited high accuracy for the differentiation between the two clinical entities (Sensitivity = 85%, Specificity = 77%, AUC = 0.90, 95% CI = 0.81-0.95, p < 0.001). Multivariable analysis showed that age and the T1-to-basal-strain-ratio were the most robust factors for the differentiation between HCM and cardiac amyloidosis. CONCLUSION The T1-to-basal-segmental strain ratio, combining information from segmental circumferential and longitudinal strain and native T1 mapping aids the differentiation between HCM and cardiac amyloidosis with high accuracy and within a fast CMR protocol, obviating the need for contrast agent administration.
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Affiliation(s)
- Henning Steen
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | | | | | - Florian André
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Sebastian Kelle
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité Berlin, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Grigorios Korosoglou
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Roentgenstrasse 1, 69469, Weinheim, Germany.
- Weinheim Imaging Center, GRN Hospital Weinheim, Hector Foundation, Weinheim, Germany.
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Hu M, Shen Y, Yu H, Song Y, Zheng T, Hong D, Gong L. Prognostic value of cardiac magnetic resonance imaging feature tracking technology in patients with light chain amyloidosis. Clin Radiol 2024; 79:e239-e246. [PMID: 37953095 DOI: 10.1016/j.crad.2023.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 06/27/2023] [Accepted: 10/12/2023] [Indexed: 11/14/2023]
Abstract
AIM To undertake a meta-analysis of the prognostic value of cardiac magnetic resonance imaging feature tracking (CMR-FT) in patients with light-chain cardiac amyloidosis (LCA). MATERIALS AND METHODS A systematic search was conducted in PubMed, EMBASE, Web of Science, and the Cochrane Library. All analyses were conducted using RevMan 5.3 software. RESULTS Eight studies were included with 663 patients. For the left ventricle, the results showed that CMR-FT was statistically significant in predicting death, with less impaired global circumferential (GCS), radial (GRS) and longitudinal (GLS) strain in survivors of LCA (odds ratio [OR] 1.17, 95% confidence interval [CI] 1.09-1.25; 0.95, 0.93-0.96; 1.12, 1.05-1.20, all p<0.001). For ejection fraction (EF) and mass index, surviving patients had higher EFs and mass index (OR 0.96, 95% CI 0.96-0.97; 1.01, 1.01-1.02). For the right ventricle, the results showed that CMR-FT was statistically significant in predicting death, with less impaired GLS and GRS in survivors of LCA (OR 1.11, 95% CI 1.08-1.15; 0.93, 0.90-0.96, all p<0.001). Surviving patients had higher EFs (OR 0.97, 95% CI 0.96-0.98, p<0.001). Upon removing the studies one by one, there was no significant change in the results of the study. Both analyses showed no apparent publication deviation on funnel plots. CONCLUSION Parameters derived from CMR-FT technology are promising new predictors for LCA, and are easily available and reliable. Patients with poor myocardial deformability are at highest risk of death.
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Affiliation(s)
- M Hu
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, No. 1 Min-de Road, Donghu District, Nanchang, 33000, Jiangxi Province, People's Republic of China
| | - Y Shen
- Department of Neurology, The First Affiliated Hospital of Nanchang University, No. 17, Yongwai Zheng Street, Donghu District, Nanchang 330006, Jiangxi Province, People's Republic of China
| | - H Yu
- Department of Radiology, Jiangxi Province Medical Imaging Research Institute, The First Affiliated Hospital of Nanchang University, No. 17, Yongwai Zheng Street, Donghu District, Nanchang 330006, Jiangxi Province, People's Republic of China
| | - Y Song
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, No. 1 Min-de Road, Donghu District, Nanchang, 33000, Jiangxi Province, People's Republic of China
| | - T Zheng
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, No. 1 Min-de Road, Donghu District, Nanchang, 33000, Jiangxi Province, People's Republic of China
| | - D Hong
- Department of Neurology, The First Affiliated Hospital of Nanchang University, No. 17, Yongwai Zheng Street, Donghu District, Nanchang 330006, Jiangxi Province, People's Republic of China.
| | - L Gong
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, No. 1 Min-de Road, Donghu District, Nanchang, 33000, Jiangxi Province, People's Republic of China.
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Korosoglou G, Sagris M, André F, Steen H, Montenbruck M, Frey N, Kelle S. Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes. Sci Rep 2024; 14:1094. [PMID: 38212323 PMCID: PMC10784294 DOI: 10.1038/s41598-023-50835-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 12/26/2023] [Indexed: 01/13/2024] Open
Abstract
Cardiac magnetic resonance (CMR) is the gold standard for the diagnostic classification and risk stratification in most patients with cardiac disorders. The aim of the present study was to investigate the ability of Strain-encoded MR (SENC) for the prediction of major adverse cardiovascular events (MACE). A systematic review and meta-analysis was performed according to the PRISMA Guidelines, including patients with or without cardiovascular disease and asymptomatic individuals. Myocardial strain by HARP were used as pulse sequences in 1.5 T scanners. Published literature in MEDLINE (PubMed) and Cochrane's databases were explored before February 2023 for studies assessing the clinical utility of myocardial strain by Harmonic Phase Magnetic Resonance Imaging (HARP), Strain-encoded MR (SENC) or fast-SENC. In total, 8 clinical trials (4 studies conducted in asymptomatic individuals and 4 in patients with suspected or known cardiac disease) were included in this systematic review, while 3 studies were used for our meta-analysis, based on individual patient level data. Kaplan-Meier analysis and Cox proportional hazard models were used, testing the ability of myocardial strain by HARP and SENC/fast-SENC for the prediction of MACE. Strain enabled risk stratification in asymptomatic individuals, predicting MACE and the development of incident heart failure. Of 1332 patients who underwent clinically indicated CMR, including SENC or fast-SENC acquisitions, 19 patients died, 28 experienced non-fatal infarctions, 52 underwent coronary revascularization and 86 were hospitalized due to heart failure during median 22.4 (17.2-28.5) months of follow-up. SENC/fast-SENC, predicted both all-cause mortality and MACE with high accuracy (HR = 3.0, 95% CI = 1.2-7.6, p = 0.02 and HR = 4.1, 95% CI = 3.0-5.5, respectively, p < 0.001). Using hierarchical Cox-proportional hazard regression models, SENC/fast-SENC exhibited incremental value to clinical data and conventional CMR parameters. Reduced myocardial strain predicts of all-cause mortality and cardiac outcomes in symptomatic patients with a wide range of ischemic or non-ischemic cardiac diseases, whereas in asymptomatic individuals, reduced strain was a precursor of incident heart failure.
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Affiliation(s)
- Grigorios Korosoglou
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Academic Teaching Hospital Weinheim, Roentgenstrasse 1, 69469, Weinheim, Germany.
- Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany.
| | - Marios Sagris
- Hippokration General Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Florian André
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Henning Steen
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | | | - Norbert Frey
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Sebastian Kelle
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
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11
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Thavendiranathan P, Shalmon T, Fan CPS, Houbois C, Amir E, Thevakumaran Y, Somerset E, Malowany JM, Urzua-Fresno C, Yip P, McIntosh C, Sussman MS, Brezden-Masley C, Yan AT, Koch CA, Spiller N, Abdel-Qadir H, Power C, Hanneman K, Wintersperger BJ. Comprehensive Cardiovascular Magnetic Resonance Tissue Characterization and Cardiotoxicity in Women With Breast Cancer. JAMA Cardiol 2023; 8:524-534. [PMID: 37043251 PMCID: PMC10099158 DOI: 10.1001/jamacardio.2023.0494] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 02/12/2023] [Indexed: 04/13/2023]
Abstract
Importance There is a growing interest in understanding whether cardiovascular magnetic resonance (CMR) myocardial tissue characterization helps identify risk of cancer therapy-related cardiac dysfunction (CTRCD). Objective To describe changes in CMR tissue biomarkers during breast cancer therapy and their association with CTRCD. Design, Setting, and Participants This was a prospective, multicenter, cohort study of women with ERBB2 (formerly HER2)-positive breast cancer (stages I-III) who were scheduled to receive anthracycline and trastuzumab therapy with/without adjuvant radiotherapy and surgery. From November 7, 2013, to January 16, 2019, participants were recruited from 3 University of Toronto-affiliated hospitals. Data were analyzed from July 2021 to June 2022. Exposures Sequential therapy with anthracyclines, trastuzumab, and radiation. Main Outcomes and Measures CMR, high-sensitivity cardiac troponin I (hs-cTnI), and B-type natriuretic peptide (BNP) measurements were performed before anthracycline treatment, after anthracycline and before trastuzumab treatment, and at 3-month intervals during trastuzumab therapy. CMR included left ventricular (LV) volumes, LV ejection fraction (EF), myocardial strain, early gadolinium enhancement imaging to assess hyperemia (inflammation marker), native/postcontrast T1 mapping (with extracellular volume fraction [ECV]) to assess edema and/or fibrosis, T2 mapping to assess edema, and late gadolinium enhancement (LGE) to assess replacement fibrosis. CTRCD was defined using the Cardiac Review and Evaluation Committee criteria. Fixed-effects models or generalized estimating equations were used in analyses. Results Of 136 women (mean [SD] age, 51.1 [9.2] years) recruited from 2013 to 2019, 37 (27%) developed CTRCD. Compared with baseline, tissue biomarkers of myocardial hyperemia and edema peaked after anthracycline therapy or 3 months after trastuzumab initiation as demonstrated by an increase in mean (SD) relative myocardial enhancement (baseline, 46.3% [16.8%] to peak, 56.2% [18.6%]), native T1 (1012 [26] milliseconds to 1035 [28] milliseconds), T2 (51.4 [2.2] milliseconds to 52.6 [2.2] milliseconds), and ECV (25.2% [2.4%] to 26.8% [2.7%]), with P <.001 for the entire follow-up. The observed values were mostly within the normal range, and the changes were small and recovered during follow-up. No new replacement fibrosis developed. Increase in T1, T2, and/or ECV was associated with increased ventricular volumes and BNP but not hs-cTnI level. None of the CMR tissue biomarkers were associated with changes in LVEF or myocardial strain. Change in ECV was associated with concurrent and subsequent CTRCD, but there was significant overlap between patients with and without CTRCD. Conclusions and Relevance In women with ERBB2-positive breast cancer receiving sequential anthracycline and trastuzumab therapy, CMR tissue biomarkers suggest inflammation and edema peaking early during therapy and were associated with ventricular remodeling and BNP elevation. However, the increases in CMR biomarkers were transient, were not associated with LVEF or myocardial strain, and were not useful in identifying traditional CTRCD risk.
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Affiliation(s)
- Paaladinesh Thavendiranathan
- Department of Medicine, Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Tamar Shalmon
- Department of Medicine, Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Chun-Po Steve Fan
- Ted Rogers Computational Program, Ted Rogers Centre for Heart Research, Peter Munk Cardiac Centre, UHN, Toronto, Ontario, Canada
| | - Christian Houbois
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Eitan Amir
- Department of Medicine, Division of Medical Oncology and Hematology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Yobiga Thevakumaran
- Department of Medicine, Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Emily Somerset
- Ted Rogers Computational Program, Ted Rogers Centre for Heart Research, Peter Munk Cardiac Centre, UHN, Toronto, Ontario, Canada
| | - Julia M. Malowany
- Peter Munk Cardiac Center, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Camila Urzua-Fresno
- Department of Medicine, Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Paul Yip
- Division of Laboratory Medicine and Pathobiology, University Health Network, University of Toronto, Ontario, Canada
| | - Chris McIntosh
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Techna Institute, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Vector Institute, University of Toronto, Toronto, Ontario, Canada
| | - Marshall S. Sussman
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Christine Brezden-Masley
- Department of Medicine, Division of Medical Oncology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Andrew T. Yan
- Keenan Research Centre, Li Ka Shing Knowledge Institute, Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - C. Anne Koch
- Radiation Medicine Program, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Neil Spiller
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Husam Abdel-Qadir
- Department of Medicine, Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Women’s College Hospital, Toronto, Ontario, Canada
| | - Coleen Power
- Department of Medicine, Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Kate Hanneman
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Bernd J. Wintersperger
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
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Liu Q, Lu Q, Chai Y, Tao Z, Wu Q, Jiang M, Pu J. Papillary-Muscle-Derived Radiomic Features for Hypertrophic Cardiomyopathy versus Hypertensive Heart Disease Classification. Diagnostics (Basel) 2023; 13:diagnostics13091544. [PMID: 37174935 PMCID: PMC10177511 DOI: 10.3390/diagnostics13091544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/23/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
Purpose: This study aimed to assess the value of radiomic features derived from the myocardium (MYO) and papillary muscle (PM) for left ventricular hypertrophy (LVH) detection and hypertrophic cardiomyopathy (HCM) versus hypertensive heart disease (HHD) differentiation. Methods: There were 345 subjects who underwent cardiovascular magnetic resonance (CMR) examinations that were analyzed. After quality control and manual segmentation, the 3D radiomic features were extracted from the MYO and PM. The data were randomly split into training (70%) and testing (30%) datasets. Feature selection was performed on the training dataset. Five machine learning models were evaluated using the MYO, PM, and MYO+PM features in the detection and differentiation tasks. The optimal differentiation model was further evaluated using CMR parameters and combined features. Results: Six features were selected for the MYO, PM, and MYO+PM groups. The support vector machine models performed best in both the detection and differentiation tasks. For LVH detection, the highest area under the curve (AUC) was 0.966 in the MYO group. For HCM vs. HHD differentiation, the best AUC was 0.935 in the MYO+PM group. Comparing the radiomics models to the CMR parameter models for the differentiation tasks, the radiomics models achieved significantly improved the performance (p = 0.002). Conclusions: The radiomics model with the MYO+PM features showed similar performance to the models developed from the MYO features in the detection task, but outperformed the models developed from the MYO or PM features in the differentiation task. In addition, the radiomic models performed better than the CMR parameters' models.
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Affiliation(s)
- Qiming Liu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Qifan Lu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Yezi Chai
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Zhengyu Tao
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Qizhen Wu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Meng Jiang
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Jun Pu
- Department of Cardiology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
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Machine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis. Int J Mol Sci 2023; 24:ijms24065680. [PMID: 36982754 PMCID: PMC10051237 DOI: 10.3390/ijms24065680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/12/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Cardiac amyloidosis is an uncommon restrictive cardiomyopathy featuring an unregulated amyloid protein deposition that impairs organic function. Early cardiac amyloidosis diagnosis is generally delayed by indistinguishable clinical findings of more frequent hypertrophic diseases. Furthermore, amyloidosis is divided into various groups, according to a generally accepted taxonomy, based on the proteins that make up the amyloid deposits; a careful differentiation between the various forms of amyloidosis is necessary to undertake an adequate therapeutic treatment. Thus, cardiac amyloidosis is thought to be underdiagnosed, which delays necessary therapeutic procedures, diminishing quality of life and impairing clinical prognosis. The diagnostic work-up for cardiac amyloidosis begins with the identification of clinical features, electrocardiographic and imaging findings suggestive or compatible with cardiac amyloidosis, and often requires the histological demonstration of amyloid deposition. One approach to overcome the difficulty of an early diagnosis is the use of automated diagnostic algorithms. Machine learning enables the automatic extraction of salient information from “raw data” without the need for pre-processing methods based on the a priori knowledge of the human operator. This review attempts to assess the various diagnostic approaches and artificial intelligence computational techniques in the detection of cardiac amyloidosis.
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14
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Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview. Diagnostics (Basel) 2023; 13:diagnostics13030553. [PMID: 36766658 PMCID: PMC9914753 DOI: 10.3390/diagnostics13030553] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [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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15
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Manning WJ. 2021-2022 state of our JCMR. J Cardiovasc Magn Reson 2022; 24:75. [PMID: 36587219 PMCID: PMC9804242 DOI: 10.1186/s12968-022-00909-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 12/14/2022] [Indexed: 01/01/2023] Open
Abstract
In 2021, there were 136 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR), including 122 original research papers, six reviews, four technical notes, one Society for Cardiovascular Magnetic Resonance (SCMR) guideline, one SCMR position paper, one study protocol, and one obituary (Nathaniel Reichek). The volume was up 53% from 2020 (n = 89) with a corresponding 21% decrease in manuscript submissions from 435 to 345. This led to an increase in the acceptance rate from 24 to 32%. The quality of the submissions continues to be high. The 2021 JCMR Impact Factor (which is released in June 2022) markedly increased from 5.41 to 6.90 placing us in the top quartile of Society and cardiac imaging journals. Our 5 year impact factor similarly increased from 6.52 to 7.25. Fifteen years ago, the JCMR was at the forefront of medical and medical society journal migration to the Open-Access format. The Open-Access system has dramatically increased the availability and JCMR citation. Full-text article requests in 2021 approached 1.5 M!. As I have mentioned, it takes a village to run a journal. JCMR is very fortunate to have a group of very dedicated Associate Editors, Guest Editors, Journal Club Editors, and Reviewers. I thank each of them for their efforts to ensure that the review process occurs in a timely and responsible manner. These efforts have allowed the JCMR to continue as the premier journal of our field. My role, and the entire editorial process would not be possible without the ongoing high dedication and efforts of our managing editor, Jennifer Rodriguez. Her premier organizational skills have allowed for streamlining of the review process and marked improvement in our time-to-decision (see later). As I conclude my 6th and final year as your editor-in-chief, I thank you for entrusting me with the JCMR editorship and appreciate the time I have had at the helm. I am very confident that our Journal will reach new heights under the stewardship of Dr. Tim Leiner, currently at the Mayo Clinic with a seamless transition occurring as I write this in late November. I hope that you will continue to send your very best, high quality CMR manuscripts to JCMR, and that our readers will continue to look to JCMR for the very best/state-of-the-art CMR publications.
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Affiliation(s)
- Warren J Manning
- Departments of Medicine (Cardiovascular Division) and Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School and JCMR Editorial Office, Boston, MA, 02215, USA.
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Eckstein J, Körperich H, Weise Valdés E, Sciacca V, Paluszkiewicz L, Burchert W, Farr M, Sommer P, Sohns C, Piran M. CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature. IJC HEART & VASCULATURE 2022; 44:101167. [PMID: 36632287 PMCID: PMC9827025 DOI: 10.1016/j.ijcha.2022.101167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 10/11/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022]
Abstract
Background Right ventricular (RV) strain has provided valuable prognostic information for patients with cardiac amyloidosis (CA). However, the extent to which RV strain and strain rate can differentiate CA is not yet clinically established. CA underdiagnosis delays treatment strategies and exacerbates patient prognosis. Aims Evaluation of cardiac magnetic resonance (CMR) quantified RV global and regional strain of CA and HCM patients along with CA subtypes. Methods CMR feature tracking attained longitudinal, radial and circumferential global and regional strain in 47 control subjects (CTRL), 43 CA-, 20 hypertrophic cardiomyopathy- (HCM) patients. CA patients were subdivided in 21 transthyretin-related amyloidosis (ATTR) and 20 acquired immunoglobulin light chain (AL) patients. Strain data and baseline clinical parameters were statistically analysed with respect to diagnostic performance and discriminatory power between the different clinical entities. Results Effective differentiation of CA from HCM patients was achieved utilizing global longitudinal (GLS: 16.5 ± 3.9% vs. -21.3 ± 6.7%, p = 0.032), radial (GRS: 11.7 ± 5.3% vs. 16.5 ± 7.1%, p < 0.001) and circumferential (GCS: -7.6 ± 4.0% vs. -9.4 ± 4.4%, p = 0.015) right ventricular strain. Highest strain-based hypertrophic phenotype differentiation was attained using GRS (AUC = 0.86). Binomial regression found right ventricular ejection fraction (RV-EF) (p = 0.017) to be a significant predictor of CA-HCM differentiation. CA subtypes had comparable cardiac strains. Conclusion CMR-derived RV global strains and various regional longitudinal strains provide discriminative radiological features for CA-HCM differentiation. However, in terms of feasibility, cine-derived RV-EF quantification may suffice for efficient differential diagnostic support.
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Affiliation(s)
- Jan Eckstein
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
| | - Hermann Körperich
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany,Corresponding author at: Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Georgstr. 11, 32545 Bad Oeynhausen, Germany.
| | - Elena Weise Valdés
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
| | - Vanessa Sciacca
- Clinic for Electrophysiology, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
| | - Lech Paluszkiewicz
- Clinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Wolfgang Burchert
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
| | - Martin Farr
- Cardiogenetic Laboratory, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Philipp Sommer
- Clinic for Electrophysiology, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
| | - Christian Sohns
- Clinic for Electrophysiology, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
| | - Misagh Piran
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
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17
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Korosoglou G, Ochs M. Spotlight on Myocardial Deformation in Hypertrophic Cardiomyopathy: Putting the Puzzle Together? JACC. CARDIOVASCULAR IMAGING 2022; 16:492-494. [PMID: 36752433 DOI: 10.1016/j.jcmg.2022.11.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 11/29/2022] [Indexed: 01/13/2023]
Affiliation(s)
- Grigorios Korosoglou
- GRN Hospital Weinheim, Department of Cardiology and Vascular Medicine, Weinheim, Germany; Cardiac Imaging Center Weinheim, Hector Foundation, Weinheim, Germany.
| | - Marco Ochs
- Department of Cardiology, Theresienkrankenhaus, Mannheim, Germany
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Cardiovascular Magnetic Resonance Imaging-Based Right Atrial Strain Analysis of Cardiac Amyloidosis. Biomedicines 2022; 10:biomedicines10123004. [PMID: 36551760 PMCID: PMC9775378 DOI: 10.3390/biomedicines10123004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/19/2022] [Accepted: 11/14/2022] [Indexed: 11/24/2022] Open
Abstract
Background: Cardiac amyloidosis (CA) manifests in a hypertrophic phenotype with a poor prognosis, making differentiation from hypertrophic cardiomyopathy (HCM) challenging and delaying early treatment. The extent to which magnetic resonance imaging (MRI) quantifies the right atrial strain (RAS) and strain rate (RASR), providing valuable diagnostic information, is not yet clinically established. Aims: This study assesses diagnostic differences in the longitudinal RAS and RASR between CA and HCM patients, control subjects (CTRL) and CA subtypes in addition to the impact of atrial fibrillation (AF) on the right atrial function in CA patients. The RAS and RASR of tricuspid regurgitation (TR) patients are used to assess the potential for diagnostic overlap. Methods: RAS and RASR quantification was conducted via MRI feature-tracking for biopsy-confirmed CA patients with subtypes identified. Strain parameters were compared for CTRL, HCM and TR patients. Post hoc testing identified intergroup differences. Results: In total, 41 CA patients were compared to 47 CTRL, 20 HCM and 31 TR patients. Reservoir (R), conduit and booster RAS and RASRs allow for significant differentiation (p < 0.001) between CA and HCM patients (R: 10.6 ± 14.3% vs. R: 33.5 ± 16.3%) and CTRL (R: 44.6 ± 15.7%). Booster and reservoir RAS and RASRs qualified as reliable diagnostic tests (AUC > 0.8). CA patients with AF, in contrast to sinus rhythm, demonstrated a significantly impaired reservoir RAS and RASR and booster RASR. The discriminative power of RAS for CA vs. TR was insufficient (R: 10.6% ± 14.3% vs. 7.0% ± 6.0%, p = 0.069). Differentiation between 21 transthyretin and 20 light-chain amyloidosis subtypes was not achievable (R: 0.7% ± 1.0% vs. 0.7% ± 1.0%, p = 0.827). Conclusion: The MRI-derived RAS and RASR are impaired in CA patients and may support noninvasive differentiation between CA, HCM and CTRL.
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Eckstein J, Moghadasi N, Körperich H, Weise Valdés E, Sciacca V, Paluszkiewicz L, Burchert W, Piran M. A Machine Learning Challenge: Detection of Cardiac Amyloidosis Based on Bi-Atrial and Right Ventricular Strain and Cardiac Function. Diagnostics (Basel) 2022; 12:2693. [PMID: 36359536 PMCID: PMC9689404 DOI: 10.3390/diagnostics12112693] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 10/23/2022] [Accepted: 11/01/2022] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND This study challenges state-of-the-art cardiac amyloidosis (CA) diagnostics by feeding multi-chamber strain and cardiac function into supervised machine (SVM) learning algorithms. METHODS Forty-three CA (32 males; 79 years (IQR 71; 85)), 20 patients with hypertrophic cardiomyopathy (HCM, 10 males; 63.9 years (±7.4)) and 44 healthy controls (CTRL, 23 males; 56.3 years (IQR 52.5; 62.9)) received cardiovascular magnetic resonance imaging. Left atrial, right atrial and right ventricular strain parameters and cardiac function generated a 41-feature matrix for decision tree (DT), k-nearest neighbor (KNN), SVM linear and SVM radial basis function (RBF) kernel algorithm processing. A 10-feature principal component analysis (PCA) was conducted using SVM linear and RBF. RESULTS Forty-one features resulted in diagnostic accuracies of 87.9% (AUC = 0.960) for SVM linear, 90.9% (0.996; Precision = 94%; Sensitivity = 100%; F1-Score = 97%) using RBF kernel, 84.9% (0.970) for KNN, and 78.8% (0.787) for DT. The 10-feature PCA achieved 78.9% (0.962) via linear SVM and 81.8% (0.996) via RBF SVM. Explained variance presented bi-atrial longitudinal strain and left and right atrial ejection fraction as valuable CA predictors. CONCLUSION SVM RBF kernel achieved competitive diagnostic accuracies under supervised conditions. Machine learning of multi-chamber cardiac strain and function may offer novel perspectives for non-contrast clinical decision-support systems in CA diagnostics.
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Affiliation(s)
- Jan Eckstein
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany
| | - Negin Moghadasi
- Department of Engineering Systems & Environment, University of Virginia, Charlottesville, VA 22904, USA
| | - Hermann Körperich
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany
| | - Elena Weise Valdés
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany
| | - Vanessa Sciacca
- Clinic for Electrophysiology, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany
| | - Lech Paluszkiewicz
- Clinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany
| | - Wolfgang Burchert
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany
| | - Misagh Piran
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany
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Erley J, Beitzen-Heineke A, Tahir E. [Cardiooncology-usefulness of cardiac MRI : Inflammation, fibrosis, outcome]. RADIOLOGIE (HEIDELBERG, GERMANY) 2022; 62:941-946. [PMID: 35969245 DOI: 10.1007/s00117-022-01055-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND With rapidly increasing survival chances of cancer patients, the potential side effects of cancer therapeutics are increasingly relevant and a potentially lifelong issue. If cardiotoxic effects are not detected at a reversible stage, this might result in irreversible heart failure. OBJECTIVES This article will portray the current state of knowledge on the use of cardiac magnetic resonance imaging (cardiac MRI) in the field of cardio-oncology. The aim is to provide an overview of the advantages of cardiac MRI to determine myocardial function and analyze inflammatory or fibrotic myocardial changes. MATERIALS AND METHODS Current studies on this topic were collected and evaluated. Expert recommendations from various position papers were reviewed and summarized. Lastly, an MRI protocol to assess potential cardiotoxic effects of cancer therapeutics was discussed. RESULTS Up to 20% of patients are reported to suffer from cancer therapeutics-related cardiac dysfunction (CTRCD). Especially those with cardiovascular risk factors should receive pre- and posttherapeutic monitoring of heart function. Cardiac MRI is currently suggested as an imaging tool to analyze myocardial function if echocardiographic assessment is insufficient. However, cardiac MRI is also an excellent method for additional tissue analysis. CONCLUSION Current consensus statements recommend cardiac MRI as optional in cases where echocardiography image quality is not adequate. Nevertheless, patients with reduced heart function on echocardiography might benefit from early assessment of inflammatory or fibrotic changes due to CTRCD using cardiac MRI.
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Affiliation(s)
- Jennifer Erley
- Zentrum für Radiologie und Endoskopie, Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, Deutschland
| | - Antonia Beitzen-Heineke
- Zentrum für Onkologie, II. Medizinische Klinik und Poliklinik (Onkologie, Hämatologie, Knochenmarktransplantation mit Abteilung für Pneumologie), Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
- Zentrum für Experimentelle Medizin, Institut für Tumorbiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Enver Tahir
- Zentrum für Radiologie und Endoskopie, Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, Deutschland.
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21
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Eckstein J, Körperich H, Paluszkiewicz L, Burchert W, Piran M. Multi-parametric analyses to investigate dependencies of normal left atrial strain by cardiovascular magnetic resonance feature tracking. Sci Rep 2022; 12:12233. [PMID: 35851289 PMCID: PMC9293891 DOI: 10.1038/s41598-022-16143-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 07/05/2022] [Indexed: 11/09/2022] Open
Abstract
Left-atrial (LA) strain is the result of complex hemodynamics, which may be better characterized using a multiparametric approach. Cardiovascular magnetic resonance (CMR) feature tracking was used to perform a comprehensive LA strain assessment of 183 enrolled healthy volunteers (11–70 years, 97 females, median 32.9 ± 28.3 years). Novel strain dependencies were assessed using multi-parametric regression (MPR) analyses. LA volumetric data, left ventricular strain, transmitral and pulmonary venous blood flow parameters were utilized to create clusters for MPR of all subjects and a heart rate controlled subgroup (pulse: 60–75/min, N = 106). The LA reservoir(r) and conduit(c) strains of the total cohort were significantly elevated (p ≤ 0.001) in women (r: 49.7 ± 12.9%, c: 32.0 ± 11.0%) compared to men (r: 42.9 ± 11.4%, c: 26.1 IQ 10.5%). In contrast, there were no gender-specific differences (p > 0.05) for subgroup LA reservoir, conduit and booster(b) strains (all, r: 47.3 ± 12.7%; c: 29.0 IQ 15.5%; b: 17.6 ± 5.4%) and strain rates (all, 2.1 IQ 1.0 s−1; − 2.9 IQ 1.5 s−1; − 2.3 IQ 1.0 s−1). MPR found large effect sizes (|R2|≥ 0.26) for correlations between strain and various cardiac functional parameters. Largest effect size was found for the association between LA conduit strain and LA indexed booster volume, LA total ejection fraction, left ventricular global radial strain and E-wave (|R2|= 0.437). In addition to providing normal values for sex-dependent LA strain and strain rate, no gender differences were found with modified heart rate. MPR analyses of LA strain/strain rate and various cardiac functional parameters revealed that heart rate control improved goodness-of-fit for the overall model.
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Affiliation(s)
- Jan Eckstein
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Centre North-Rhine Westphalia, Ruhr-University of Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Germany
| | - Hermann Körperich
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Centre North-Rhine Westphalia, Ruhr-University of Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Germany.
| | - Lech Paluszkiewicz
- Clinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Centre North-Rhine Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Wolfgang Burchert
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Centre North-Rhine Westphalia, Ruhr-University of Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Germany
| | - Misagh Piran
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Centre North-Rhine Westphalia, Ruhr-University of Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Germany
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22
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Gräni C, Stark AW, Fischer K, Fürholz M, Wahl A, Erne SA, Huber AT, Guensch DP, Vollenbroich R, Ruberti A, Dobner S, Heg D, Windecker S, Lanz J, Pilgrim T. Diagnostic performance of cardiac magnetic resonance segmental myocardial strain for detecting microvascular obstruction and late gadolinium enhancement in patients presenting after a ST-elevation myocardial infarction. Front Cardiovasc Med 2022; 9:909204. [PMID: 35911559 PMCID: PMC9329615 DOI: 10.3389/fcvm.2022.909204] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMicrovascular obstruction (MVO) and Late Gadolinium Enhancement (LGE) assessed in cardiac magnetic resonance (CMR) are associated with adverse outcome in patients with ST-elevation myocardial infarction (STEMI). Our aim was to analyze the diagnostic performance of segmental strain for the detection of MVO and LGE.MethodsPatients with anterior STEMI, who underwent additional CMR were enrolled in this sub-study of the CARE-AMI trial. Using CMR feature tracking (FT) segmental circumferential peak strain (SCS) was measured and the diagnostic performance of SCS to discriminate MVO and LGE was assessed in a derivation and validation cohort.ResultsForty-eight STEMI patients (62 ± 12 years old), 39 (81%) males, who underwent CMR (i.e., mean 3.0 ± 1.5 days) after primary percutaneous coronary intervention (PCI) were included. All patients presented with LGE and in 40 (83%) patients, MVO was additionally present. Segments in all patients were visually classified and 146 (19%) segments showed MVO (i.e., LGE+/MVO+), 308 (40%) segments showed LGE and no MVO (i.e., LGE+/MVO–), and 314 (41%) segments showed no LGE (i.e., LGE–). Diagnostic performance of SCS for detecting MVO segments (i.e., LGE+/MVO+ vs. LGE+/MVO–, and LGE–) showed an AUC = 0.764 and SCS cut-off value was –11.2%, resulting in a sensitivity of 78% and a specificity of 67% with a positive predictive value (PPV) of 30% and a negative predictive value (NPV) of 94% when tested in the validation group. For LGE segments (i.e., LGE+/MVO+ and LGE+/MVO– vs. LGE–) AUC = 0.848 and SCS with a cut-off value of –13.8% yielded to a sensitivity of 76%, specificity of 74%, PPV of 81%, and NPV of 70%.ConclusionSegmental strain in STEMI patients was associated with good diagnostic performance for detection of MVO+ segments and very good diagnostic performance of LGE+ segments. Segmental strain may be useful as a potential contrast-free surrogate marker to improve early risk stratification in patients after primary PCI.
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Affiliation(s)
- Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- *Correspondence: Christoph Gräni,
| | - Anselm W. Stark
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Monika Fürholz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Wahl
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sophie A. Erne
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian T. Huber
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dominik P. Guensch
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - René Vollenbroich
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrea Ruberti
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stephan Dobner
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dik Heg
- Clinical Trials Unit, University of Bern, Bern, Switzerland
| | - Stephan Windecker
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jonas Lanz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thomas Pilgrim
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Dohy Z, Szabo L, Pozsonyi Z, Csecs I, Toth A, Suhai FI, Czimbalmos C, Szucs A, Kiss AR, Becker D, Merkely B, Vago H. Potential clinical relevance of cardiac magnetic resonance to diagnose cardiac light chain amyloidosis. PLoS One 2022; 17:e0269807. [PMID: 35696411 PMCID: PMC9191721 DOI: 10.1371/journal.pone.0269807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 05/28/2022] [Indexed: 11/19/2022] Open
Abstract
Background
While patients with cardiac transthyretin amyloidosis are easily diagnosed with bone scintigraphy, the detection of cardiac light chain (AL) amyloidosis is challenging. Cardiac magnetic resonance (CMR) analyses play an essential role in the differential diagnosis of cardiomyopathies; however, limited data are available from cardiac AL-Amyloidosis. Hence, the purpose of the present study was to analyze the potential role of CMR in the detection of cardiac AL-amyloidosis.
Methods
We included 35 patients with proved cardiac AL-amyloidosis and two control groups constituted by 330 patients with hypertrophic cardiomyopathy (HCM) and 70 patients with arterial hypertension (HT), who underwent CMR examination. The phenotype and degree of left ventricular (LV) hypertrophy and the amount and pattern of late gadolinium enhancement (LGE) were evaluated. In addition, global and regional LV strain parameters were also analyzed using feature-tracking techniques. Sensitivity and specificity of several CMR parameters were analyzed in diagnosing cardiac AL-amyloidosis.
Results
The sensitivity and specificity of diffuse septal subendocardial LGE in diagnosing cardiac AL-amyloidosis was 88% and 100%, respectively. Likewise, the sensitivity and specificity of septal myocardial nulling prior to blood pool was 71% and 100%, respectively. In addition, a LV end-diastolic septal wall thickness ≥ 15 mm had an optimal diagnostic performance to differentiate cardiac AL-amyloidosis from HT (sensitivity 91%, specificity 89%). On the other hand, a reduced global LV longitudinal strain (< 15%) plus apical sparing (apex-to-base longitudinal strain > 2) had a very low sensitivity (6%) in detecting AL-Amyloidosis, but with very high specificity (100%).
Conclusions
The findings from this study suggest that CMR could have an optimal diagnostic performance in the diagnosis of cardiac AL-amyloidosis. Hence, further larger studies are warranted to validate the findings from this study.
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Affiliation(s)
- Zsofia Dohy
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Liliana Szabo
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Zoltan Pozsonyi
- Department of Internal Medicine and Haematology, Semmelweis University, Budapest, Hungary
| | - Ibolya Csecs
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Attila Toth
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | | | - Andrea Szucs
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Anna Reka Kiss
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - David Becker
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Bela Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Hajnalka Vago
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
- * E-mail:
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Sciacca V, Eckstein J, Körperich H, Fink T, Bergau L, El Hamriti M, Imnadze G, Guckel D, Fox H, Gerçek M, Farr M, Burchert W, Sommer P, Sohns C, Piran M. Magnetic-Resonance-Imaging-Based Left Atrial Strain and Left Atrial Strain Rate as Diagnostic Parameters in Cardiac Amyloidosis. J Clin Med 2022; 11:jcm11113150. [PMID: 35683537 PMCID: PMC9181318 DOI: 10.3390/jcm11113150] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/14/2022] [Accepted: 05/29/2022] [Indexed: 01/15/2023] Open
Abstract
Aims: The present study aims to evaluate magnetic-resonance-imaging (MRI)-assessed left atrial strain (LAS) and left atrial strain rate (LASR) as potential parameters for the diagnosis of cardiac amyloidosis (CA), the distinction of clinical subtypes and differentiation from other cardiomyopathies. Methods and results: LAS and LASR were assessed by MRI feature tracking in patients with biopsy-proven CA. LAS and LASR of patients with CA were compared to healthy subjects and patients with hypertrophic cardiomyopathy. LAS and LASR were also analyzed concerning differences between patients with transthyretin (ATTR) and light chain amyloidosis (AL). A total of 44 patients with biopsy-proven CA, 19 patients with hypertrophic cardiomyopathy and 24 healthy subjects were included. In 22 CA patients (50%), histological examination identified ATTR as CA subtype and AL in the remaining patients. No significant difference was observed for reservoir, conduit or booster LAS in patients with AL or ATTR. Reservoir LAS, conduit LAS and booster LAS were significantly reduced in patients with CA and HCM as compared to healthy subjects (p < 0.001). Reservoir LAS and booster LAS were significantly reduced in CA as compared to HCM patients (p < 0.001). A linear correlation was observed between LA global reservoir strain and LA-EF (p < 0.001, r = 0.5), conduit strain and global longitudinal LV strain (p < 0.001, r = 0.5), global booster strain rate and LA-EF (p < 0.001, r = 0.6) and between global booster strain rate and LA area at LVED (p < 0.0001, 0.5). Conclusions: LAS and LASR are severely impaired in patients with CA. The MRI-based assessment of LAS and LASR might allow non-invasive diagnosis and categorization of CA and its distinct differentiation from other hypertrophic phenotypes.
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Affiliation(s)
- Vanessa Sciacca
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
- Correspondence: (V.S.); (C.S.)
| | - Jan Eckstein
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (J.E.); (H.K.); (W.B.); (M.P.)
| | - Hermann Körperich
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (J.E.); (H.K.); (W.B.); (M.P.)
| | - Thomas Fink
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
| | - Leonard Bergau
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
| | - Mustapha El Hamriti
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
| | - Guram Imnadze
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
| | - Denise Guckel
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
| | - Henrik Fox
- Clinic for Thoracic and Cardiovascular Surgery, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany;
- Heart Failure Department, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany
| | - Muhammed Gerçek
- Clinic for General and Interventional Cardiology/Angiology, Herz-und Diabeteszentrum, 32545 Bad Oeynhausen, Germany; (M.G.); (M.F.)
| | - Martin Farr
- Clinic for General and Interventional Cardiology/Angiology, Herz-und Diabeteszentrum, 32545 Bad Oeynhausen, Germany; (M.G.); (M.F.)
| | - Wolfgang Burchert
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (J.E.); (H.K.); (W.B.); (M.P.)
| | - Philipp Sommer
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
| | - Christian Sohns
- Clinic for Electrophysiology, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (T.F.); (L.B.); (M.E.H.); (G.I.); (D.G.); (P.S.)
- Correspondence: (V.S.); (C.S.)
| | - Misagh Piran
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Herz-und Diabeteszentrum NRW, Ruhr-Universität Bochum, 32545 Bad Oeynhausen, Germany; (J.E.); (H.K.); (W.B.); (M.P.)
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25
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Liu S, Li Y, Zhao Y, Wang X, Wu Z, Gu X, Xu B, Li Y, Tian J, Cui J, Wang G, Yu B. The Combination of Feature Tracking and Late Gadolinium Enhancement for Identification Between Hypertrophic Cardiomyopathy and Hypertensive Heart Disease. Front Cardiovasc Med 2022; 9:865615. [PMID: 35647085 PMCID: PMC9130652 DOI: 10.3389/fcvm.2022.865615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 04/14/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe differentiation between hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) is challenging due to similar myocardial hypertrophic phenotype. The purpose of this study is to evaluate the feasibility of cardiovascular magnetic resonance feature tracking (CMR-FT) and late gadolinium enhancement (LGE) to distinguish between HCM and HHD and the potential relationship between myocardial strain and cardiac functional parameters.MethodsOne hundred and seventy subjects (57 HCM, 45 HHD, and 68 controls) underwent 3.0 T CMR, including steady-state free precession cines and LGE images. Global and segmental (basal, mid, and apical) analyses of myocardial radial, circumferential, longitudinal strain, and left ventricular (LV) torsion, as well as global and 16 segments of LGE were assessed. The multivariate analysis was used to predict the diagnostic ability by combining comprehensive myocardial strain parameters and LGE.ResultsGlobal radial strain (GRS), global circumferential strain (GCS), and LV torsion were significantly higher in the HCM group than in the HHD group (GRS, 21.18 ± 7.52 vs. 14.56 ± 7.46%; GCS, −13.34 ± 3.52 vs. −10.11 ± 4.13%; torsion, 1.79 ± 0.69 vs. 1.23 ± 0.65 deg/cm, all P < 0.001). A similar trend was also seen in the corresponding strain rate. As for segmental strain analysis, basal radial strain (BRS), basal circumferential strain (BCS), basal longitudinal strain (BLS), mid-radial strain (MRS), and mid-circumferential strain (MCS) were higher in the HCM group than in the HHD group (all P < 0.001). The receiver operating characteristic (ROC) results showed that the area under the curve (AUC) of LGE in the mid-interventricular septum (mIVS) was the highest among global and segmental LGE analyses. On the multivariate regression analysis, a combined model of LGE (mIVS) with GRS obtained the highest AUC value, which was 0.835 with 88.89% sensitivity and 70.18% specificity, respectively. In addition, for patients with HCM, GRS, GCS, and global longitudinal strain had correlations with LV ejection fraction (LVEF), maximum interventricular septum thickness (IVST max), and left ventricular mass index (LVMi). Torsion was mildly associated with LVEF.ConclusionCMR-FT-derived myocardial strain and torsion provided valuable methods for evaluation of HCM and HHD. In addition, the combination of GRS and LGE (mIVS) achieved the highest diagnostic value.
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Affiliation(s)
- Shengliang Liu
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yunling Li
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yanming Zhao
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xueying Wang
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhiyuan Wu
- Department of Vascular Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xia Gu
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Bing Xu
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ye Li
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jinwei Tian
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China
| | - Jinjin Cui
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China
| | - Guokun Wang
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- *Correspondence: Guokun Wang
| | - Bo Yu
- Department of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China
- Bo Yu
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Cha MJ, Kim C, Park CH, Hong YJ, Shin JM, Kim TH, Cha YJ, Park CH. Differential Diagnosis of Thick Myocardium according to Histologic Features Revealed by Multiparametric Cardiac Magnetic Resonance Imaging. Korean J Radiol 2022; 23:581-597. [PMID: 35555885 PMCID: PMC9174501 DOI: 10.3348/kjr.2021.0815] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/21/2022] [Accepted: 02/27/2022] [Indexed: 11/16/2022] Open
Abstract
Left ventricular (LV) wall thickening, or LV hypertrophy (LVH), is common and occurs in diverse conditions including hypertrophic cardiomyopathy (HCM), hypertensive heart disease, aortic valve stenosis, lysosomal storage disorders, cardiac amyloidosis, mitochondrial cardiomyopathy, sarcoidosis and athlete’s heart. Cardiac magnetic resonance (CMR) imaging provides various tissue contrasts and characteristics that reflect histological changes in the myocardium, such as cellular hypertrophy, cardiomyocyte disarray, interstitial fibrosis, extracellular accumulation of insoluble proteins, intracellular accumulation of fat, and intracellular vacuolar changes. Therefore, CMR imaging may be beneficial in establishing a differential diagnosis of LVH. Although various diseases share LV wall thickening as a common feature, the histologic changes that underscore each disease are distinct. This review focuses on CMR multiparametric myocardial analysis, which may provide clues for the differentiation of thickened myocardium based on the histologic features of HCM and its phenocopies.
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Affiliation(s)
- Min Jae Cha
- Department of Radiology, Chung-Ang University Hospital, Seoul, Korea
| | - Cherry Kim
- Department of Radiology, Korea University Ansan Hospital, Ansan, Korea
| | - Chan Ho Park
- Department of Radiology, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
| | - Yoo Jin Hong
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jae Min Shin
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Tae Hoon Kim
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Yoon Jin Cha
- Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
| | - Chul Hwan Park
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
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Sivalokanathan S. The Role of Cardiovascular Magnetic Resonance Imaging in the Evaluation of Hypertrophic Cardiomyopathy. Diagnostics (Basel) 2022; 12:diagnostics12020314. [PMID: 35204405 PMCID: PMC8871211 DOI: 10.3390/diagnostics12020314] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 01/08/2022] [Accepted: 01/25/2022] [Indexed: 01/19/2023] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disorder, affecting 1 out of 500 adults globally. It is a widely heterogeneous disorder characterized by a range of phenotypic expressions, and is most often identified by non-invasive imaging that includes echocardiography and cardiovascular magnetic resonance imaging (CMR). Within the last two decades, cardiac magnetic resonance imaging (MRI) has emerged as the defining tool for the characterization and prognostication of cardiomyopathies. With a higher image quality, spatial resolution, and the identification of morphological variants of HCM, CMR has become the gold standard imaging modality in the assessment of HCM. Moreover, it has been crucial in its management, as well as adding prognostic information that clinical history nor other imaging modalities may not provide. This literature review addresses the role and current applications of CMR, its capacity in evaluating HCM, and its limitations.
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Affiliation(s)
- Sanjay Sivalokanathan
- Internal Medicine, Pennsylvania Hospital, University of Pennsylvania Health System, Philadelphia, PA 19107, USA;
- Cardiovascular Clinical Academic Group, St. George’s University of London and St George’s University Hospitals NHS Foundation Trust, London SW17 0RE, UK
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Weise Valdés E, Barth P, Piran M, Laser KT, Burchert W, Körperich H. Left-Ventricular Reference Myocardial Strain Assessed by Cardiovascular Magnetic Resonance Feature Tracking and fSENC-Impact of Temporal Resolution and Cardiac Muscle Mass. Front Cardiovasc Med 2021; 8:764496. [PMID: 34796219 PMCID: PMC8593240 DOI: 10.3389/fcvm.2021.764496] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/11/2021] [Indexed: 11/16/2022] Open
Abstract
Aims: Cardiac strain parameters are increasingly measured to overcome shortcomings of ejection fraction. For broad clinical use, this study provides reference values for the two strain assessment methods feature tracking (FT) and fast strain-encoded (fSENC) cardiovascular magnetic resonance (CMR) imaging, including the child/adolescent group and systematically evaluates the influence of temporal resolution and muscle mass on strain. Methods and Results: Global longitudinal (GLS), circumferential (GCS), and radial (GRS) strain values in 181 participants (54% women, 11–70 years) without cardiac illness were assessed with FT (CVI42® software). GLS and GCS were also analyzed using fSENC (MyoStrain® software) in a subgroup of 84 participants (60% women). Fourteen patients suffering hypertrophic cardiomyopathy (HCM) were examined with both techniques. CMR examinations were done on a 3.0T MR-system. FT-GLS, FT-GCS, and FT-GRS were −16.9 ± 1.8%, −19.2 ± 2.1% and 34.2 ± 6.1%. fSENC-GLS was higher at −20.3 ± 1.8% (p < 0.001). fSENC-GCS was comparable at−19.7 ± 1.8% (p = 0.06). All values were lower in men (p < 0.001). Cardiac muscle mass correlated (p < 0.001) with FT-GLS (r = 0.433), FT-GCS (r = 0.483) as well as FT-GRS (r = −0.464) and acts as partial mediator for sex differences. FT-GCS, FT-GRS and fSENC-GLS correlated weakly with age. FT strain values were significantly lower at lower cine temporal resolutions, represented by heart rates (r = −0.301, −0.379, 0.385) and 28 or 45 cardiac phases per cardiac cycle (0.3–1.9% differences). All values were lower in HCM patients than in matched controls (p < 0.01). Cut-off values were −15.0% (FT-GLS), −19.3% (FT-GCS), 32.7% (FT-GRS), −17.2% (fSENC-GLS), and −17.7% (fSENC-GCS). Conclusion: The analysis of reference values highlights the influence of gender, temporal resolution, cardiac muscle mass and age on myocardial strain values.
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Affiliation(s)
- Elena Weise Valdés
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Peter Barth
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Misagh Piran
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Kai Thorsten Laser
- Center for Congenital Heart Defects, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Wolfgang Burchert
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
| | - Hermann Körperich
- Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
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Korosoglou G, Giusca S, André F, Aus dem Siepen F, Nunninger P, Kristen AV, Frey N. Diagnostic Work-Up of Cardiac Amyloidosis Using Cardiovascular Imaging: Current Standards and Practical Algorithms. Vasc Health Risk Manag 2021; 17:661-673. [PMID: 34720583 PMCID: PMC8550552 DOI: 10.2147/vhrm.s295376] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/07/2021] [Indexed: 01/15/2023] Open
Abstract
Among non-ischemic cardiomyopathies, cardiac amyloidosis is one of the most common, being caused by extracellular depositions of amyloid fibrils in the myocardium. Two main forms of cardiac amyloidosis are known so far, including 1) light-chain (AL) amyloidosis caused by monoclonal production of light-chains, and 2) transthyretin (ATTR) amyloidosis, caused by dissociation of the transthyretin tetramer into monomers. Both AL and ATTR amyloidosis are progressive diseases with median survival from diagnosis of less than 6 months and 3 to 5 years, respectively, if untreated. In this regard, death occurs in most patients due to cardiac causes, mainly congestive heart failure, which can be prevented due to the presence of effective, life-saving treatment regimens. Therefore, early diagnosis of cardiac amyloidosis is crucial more than ever. However, diagnosis of cardiac amyloidosis may be challenging due to variable clinical manifestations and the perceived rarity of the disease. In this regard, clinical and laboratory reg flags are available, which may help clinicians to raise suspicion of cardiac amyloidosis. In addition, advances in cardiovascular imaging have already revealed a higher prevalence of cardiac amyloidosis in specific populations, so that the diagnosis especially of ATTR amyloidosis has experienced a >30-fold increase during the past ten years. The goal of our review article is to summarize these findings and provide a practical approach for clinicians on how to use cardiovascular imaging techniques, such as echocardiography, cardiac magnetic resonance, bone scintigraphy and, if required, organ biopsy within predefined diagnostic algorithms for the diagnostic work-up of patients with suspected cardiac amyloidosis. In addition, two clinical cases and practical tips are provided in this context.
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Affiliation(s)
- Grigorios Korosoglou
- GRN Hospital Weinheim, Department of Cardiology, Vascular Medicine and Pneumology, Weinheim, Germany.,Cardiac Imaging Center Weinheim, Hector Foundation, Weinheim, Germany
| | - Sorin Giusca
- GRN Hospital Weinheim, Department of Cardiology, Vascular Medicine and Pneumology, Weinheim, Germany.,Cardiac Imaging Center Weinheim, Hector Foundation, Weinheim, Germany
| | - Florian André
- Department of Cardiology, Pneumology and Angiology, University Hospital Heidelberg, Heidelberg, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg, Heidelberg, Germany
| | - Fabian Aus dem Siepen
- Department of Cardiology, Pneumology and Angiology, University Hospital Heidelberg, Heidelberg, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg, Heidelberg, Germany
| | | | - Arnt V Kristen
- Department of Cardiology, Pneumology and Angiology, University Hospital Heidelberg, Heidelberg, Germany.,Cardiovascular Center Darmstadt, Darmstadt, Germany
| | - Norbert Frey
- Department of Cardiology, Pneumology and Angiology, University Hospital Heidelberg, Heidelberg, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg, Heidelberg, Germany
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