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Caru M, Curnier D, Dubois P, Friedrich MG, Andelfinger G, Krajinovic M, Laverdière C, Sinnett D, Périé D. Cardiorespiratory Fitness and Cardiac Magnetic Resonance Imaging in Childhood Acute Lymphoblastic Leukemia Survivors. J Phys Act Health 2023; 20:522-530. [PMID: 36972702 DOI: 10.1123/jpah.2022-0179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 11/29/2022] [Accepted: 02/09/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Childhood acute lymphoblastic leukemia survivors' anthracycline-induced cardiotoxicity could be prevented with good cardiorespiratory fitness levels and regular physical activity. This cross-sectional study aimed to assess the association between cardiorespiratory fitness and physical activity with cardiac magnetic resonance parameters. METHODS A total of 96 childhood acute lymphoblastic leukemia survivors underwent a maximal cardiopulmonary exercise test and answered physical activity questionnaires. We calculated the odds ratio of the preventive fraction of regular physical activity (≥150 min/wk) and adequate cardiorespiratory fitness levels (above the median ≥31.4 mL·kg-1·min-1) on cardiac magnetic resonance parameters (left ventricular [LV] and right ventricular [RV] morphological and functional parameters). RESULTS An adequate cardiorespiratory fitness was associated with a significant preventive fraction for LV (up to 84% for LV end-diastolic volume) and RV volumes (up to 88% for RV end-systolic volume). The adjusted analyses highlighted a preventive fraction of 36% to 91% between an adequate cardiorespiratory fitness and LV and RV parameters, late gadolinium enhancement fibrosis, and cardiac magnetic resonance relaxation times. No associations were reported with regular physical activity. CONCLUSIONS This study provides additional evidence regarding the benefits of an adequate cardiorespiratory fitness level for childhood cancer survivors' cardiac health.
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Affiliation(s)
- Maxime Caru
- Faculty of Medicine, Laboratory of Pathophysiology of EXercise (LPEX), School of Kinesiology and Physical Activity Sciences, University of Montreal, Montreal, QC,Canada
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Mechanical Engineering, Polytechnique Montreal, Montreal, QC,Canada
| | - Daniel Curnier
- Faculty of Medicine, Laboratory of Pathophysiology of EXercise (LPEX), School of Kinesiology and Physical Activity Sciences, University of Montreal, Montreal, QC,Canada
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
| | - Pierre Dubois
- Department of Mechanical Engineering, Polytechnique Montreal, Montreal, QC,Canada
| | - Matthias G Friedrich
- Departments of Medicine and Diagnostic Radiology, Research Institute of the McGill University Health Centre, Montreal, QC,Canada
| | - Gregor Andelfinger
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Maja Krajinovic
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Caroline Laverdière
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Daniel Sinnett
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Pediatrics, University of Montreal, Montreal, QC,Canada
| | - Delphine Périé
- Sainte-Justine University Health Center, Research Center, Montreal, QC,Canada
- Department of Mechanical Engineering, Polytechnique Montreal, Montreal, QC,Canada
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Ochs A, Riffel J, Ochs MM, Arenja N, Fritz T, Galuschky C, Schuster A, Bruder O, Mahrholdt H, Giannitsis E, Frey N, Katus HA, Buss SJ, André F. Myocardial mechanics in dilated cardiomyopathy: prognostic value of left ventricular torsion and strain. J Cardiovasc Magn Reson 2021; 23:136. [PMID: 34852822 PMCID: PMC8638178 DOI: 10.1186/s12968-021-00829-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/16/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Data on the prognostic value of left ventricular (LV) morphological and functional parameters including LV rotation in patients with dilated cardiomyopathy (DCM) using cardiovascular magnetic resonance (CMR) are currently scarce. In this study, we assessed the prognostic value of global longitudinal strain (GLS), global circumferential strain (GCS), global radial strain (GRS) and LV torsion using CMR feature tracking (FT). METHODS CMR was performed in 350 DCM patients and 70 healthy subjects across 5 different European CMR Centers. Myocardial strain parameters were retrospectively assessed from conventional balanced steady-state free precession cine images applying FT. A combined primary endpoint (cardiac death, heart transplantation, aborted sudden cardiac death) was defined for the assessment of clinical outcome. RESULTS GLS, GCS, GRS and LV torsion were significantly lower in DCM patients than in healthy subjects (all p < 0.001). The primary endpoint occurred in 59 (18.7%) patients [median follow-up 4.2 (2.0-5.6) years]. In the univariate analyses all strain parameters showed a significant prognostic value (p < 0.05). In the multivariate model, LV strain parameters, particularly GLS provided an incremental prognostic value compared to established CMR parameters like LV ejection fraction and late gadolinium enhancement. A scoring model including six categorical variables of standard CMR and strain parameters differentiated further risk subgroups. CONCLUSION LV strain assessed with CMR FT has a high prognostic value in patients with DCM, surpassing routine and dedicated functional parameters. Thus, CMR strain imaging may contribute to the improvement of risk stratification in DCM.
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Affiliation(s)
- Andreas Ochs
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Johannes Riffel
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Marco M. Ochs
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Nisha Arenja
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- Department of Cardiology, Solothurner Spitäler AG, Kantonsspital Olten, Olten, Switzerland
| | - Thomas Fritz
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | | | | | | | | | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Hugo A. Katus
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Sebastian J. Buss
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
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Retson TA, Masutani EM, Golden D, Hsiao A. Clinical Performance and Role of Expert Supervision of Deep Learning for Cardiac Ventricular Volumetry: A Validation Study. Radiol Artif Intell 2020; 2:e190064. [PMID: 32797119 DOI: 10.1148/ryai.2020190064] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 02/21/2020] [Accepted: 03/27/2020] [Indexed: 11/11/2022]
Abstract
Purpose To evaluate the performance of a deep learning (DL) algorithm for clinical measurement of right and left ventricular volume and function across cardiac MR images obtained for a range of clinical indications and pathologies. Materials and Methods A retrospective, Health Insurance Portability and Accountability Act-compliant study was conducted using the first 200 noncongenital clinical cardiac MRI examinations from June 2015 to June 2017 for which volumetry was available. Images were analyzed using commercially available software for automated DL-based and manual contouring of biventricular volumes. Fully automated measurements were compared using Pearson correlations, relative volume errors, and Bland-Altman analyses. Manual, automated, and expert revised contours for 50 MR images were examined by comparing regional Dice coefficients at the base, midventricle, and apex to further analyze the contour quality. Results Fully automated and manual left ventricular volumes were strongly correlated for end-systolic volume (ESV: Pearson r = 0.99, P < .001), end-diastolic volume (EDV: r = 0.97, P < .001), and ejection fraction (EF: r = 0.94, P < .001). Right ventricular measurements were also correlated for ESV (r = 0.93, P < .001), EDV (r = 0.92, P < .001), and EF (r = 0.73, P < .001). Visual inspection of segmentation quality showed most errors (73%) occurred at the cardiac base. Mean Dice coefficients between manual, automated, and expert revised contours ranged from 0.92 to 0.95, with greatest variance at the base and apex. Conclusion Fully automated ventricular segmentation by the tested algorithm provides contours and ventricular volumes that could be used to aid expert segmentation, but can benefit from expert supervision, particularly to resolve errors at the basal and apical slices. Supplemental material is available for this article. © RSNA, 2020.
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Affiliation(s)
- Tara A Retson
- Department of Radiology, Altman Clinical and Translational Research Institute, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., A.H.); Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, Calif (E.M.M.); and Arterys, San Francisco, Calif (D.G.)
| | - Evan M Masutani
- Department of Radiology, Altman Clinical and Translational Research Institute, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., A.H.); Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, Calif (E.M.M.); and Arterys, San Francisco, Calif (D.G.)
| | - Daniel Golden
- Department of Radiology, Altman Clinical and Translational Research Institute, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., A.H.); Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, Calif (E.M.M.); and Arterys, San Francisco, Calif (D.G.)
| | - Albert Hsiao
- Department of Radiology, Altman Clinical and Translational Research Institute, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., A.H.); Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, Calif (E.M.M.); and Arterys, San Francisco, Calif (D.G.)
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Beaudry RI, Samuel TJ, Wang J, Tucker WJ, Haykowsky MJ, Nelson MD. Exercise cardiac magnetic resonance imaging: a feasibility study and meta-analysis. Am J Physiol Regul Integr Comp Physiol 2018; 315:R638-R645. [PMID: 29949409 DOI: 10.1152/ajpregu.00158.2018] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Cardiac stress testing improves detection and risk assessment of heart disease. Magnetic resonance imaging (MRI) is the clinical gold-standard for assessing cardiac morphology and function at rest; however, exercise MRI has not been widely adapted for cardiac assessment because of imaging and device limitations. Commercially available magnetic resonance ergometers, together with improved imaging sequences, have overcome many previous limitations, making cardiac stress MRI more feasible. Here, we aimed to demonstrate clinical feasibility and establish the normative, healthy response to supine exercise MRI. Eight young, healthy subjects underwent rest and exercise cinematic imaging to measure left ventricular volumes and ejection fraction. To establish the normative, healthy response to exercise MRI we performed a comprehensive literature review and meta-analysis of existing exercise cardiac MRI studies. Results were pooled using a random effects model to define the left ventricular ejection fraction, end-diastolic, end-systolic, and stroke volume responses. Our proof-of-concept data showed a marked increase in cardiac index with exercise, secondary to an increase in both heart rate and stroke volume. The change in stroke volume was driven by a reduction in end-systolic volume, with no change in end-diastolic volume. These findings were entirely consistent with 17 previous exercise MRI studies (226 individual records), despite differences in imaging approach, ergometer, or exercise type. Taken together, the data herein demonstrate that exercise cardiac MRI is clinically feasible, using commercially available exercise equipment and vendor-provided product sequences and establish the normative, healthy response to exercise MRI.
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Affiliation(s)
- Rhys I Beaudry
- Department of Kinesiology, University of Texas at Arlington , Arlington, Texas
| | - T Jake Samuel
- Department of Kinesiology, University of Texas at Arlington , Arlington, Texas
| | - Jing Wang
- College of Nursing and Health Innovation, University of Texas at Arlington , Arlington, Texas
| | - Wesley J Tucker
- Department of Kinesiology, University of Texas at Arlington , Arlington, Texas
| | - Mark J Haykowsky
- College of Nursing and Health Innovation, University of Texas at Arlington , Arlington, Texas
| | - Michael D Nelson
- Department of Kinesiology, University of Texas at Arlington , Arlington, Texas
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Arauz-Garofalo G, Camacho-Puerma LM, García-Santiago A, Tejada J. Microwave spectrometry for the evaluation of in-stent neoatherosclerosis. Biomed Phys Eng Express 2015. [DOI: 10.1088/2057-1976/1/3/035202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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