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Relationship between cardiac mechanical properties and cardiac magnetic resonance imaging at rest in childhood acute lymphoblastic leukemia survivors

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Abstract

The characterization of cardiac mechanical properties may contribute to better understanding of doxorubicin-induced cardiotoxicity. Our study aims to investigate the relationship between cardiac mechanical properties, T1 and T2 relaxation times and partition coefficient. Fifty childhood acute lymphoblastic leukemia survivors underwent a cardiac magnetic resonance (CMR) at rest on a 3T MRI system and included a standard ECG-gated 3(3)3(3)5 MOLLI sequence for T1 mapping and an ECG-gated T2-prepared TrueFISP sequence for T2 mapping. Partition coefficient, ejection fraction, end-diastolic volume (EDV) and end-systolic volume (ESV) were calculated. CircAdapt model was used to study cardiac mechanical performance (left ventricle stiffness (LVS), contractility (LVC) and pressure (Pmin and Pmax), cardiac work efficiency (CWE) and ventricular arterial coupling). In the whole cohort, our results showed that LVC (R2 = 69.2%, r = 0.83), Pmin (R2 = 62.9%, r = 0.79) and Pmax can be predicted by significant CMR parameters, while T1 (R2 = 23.2%, r = 0.48) and partition coefficient (R2 = 13.8%, r = 0.37) can be predicted by significant cardiac mechanical properties. In SR group LVS (R2 = 94.8%, r = 0.97), LVC (R2 = 93.7%, r = 0.96) and Pmin (R2 = 90.6%, r = 0.95) can be predicted by significant cardiac mechanical properties, while in HR + DEX group CWE (R2 = 49.8%, r = 0.70) can be predicted by significant cardiac mechanical properties. Partition coefficient (R2 = 72.6%, r = 0.85) can be predicted by significant CMR parameters in SR group. Early characterization of cardiac mechanical properties from CMR parameters has the potential to early detect doxorubicin-induced cardiotoxicity.

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Data availability

Our data are not deposited in publicly available repositories. However, the datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This work was supported by the Institute of Cancer Research (ICR) of the Canadian Institutes of Health Research (CIHR), in collaboration with C17 Council, Canadian Cancer Society (CCS), Cancer Research Society (CRS), Garron Family Cancer Centre at the Hospital for Sick Children, Ontario Institute for Cancer Research (OICR) and Pediatric Oncology Group of Ontario (POGO). We also thank the Natural Sciences and Engineering Research Council of Canada (NSERC) and Polytechnique Montreal for the financial support, as well as researchers from the PETALE study for the opportunity to perform these complementary analyses in the childhood ALL survivor’s cohort. This research was also supported in part by MSc, PhD and postdoctoral study grants from the Canadian Research Data Centre Network and the Quebec inter-University Centre for Social Statistics, Cole Foundation, Fonds de Recherche du Québec – Santé (FRQS), Fonds de recherche du Québec - Nature et technologies (FRQNT), Natural Sciences and Engineering Research Council of Canada (NSERC), program MÉDITIS, Sainte-Justine University Hospital Center Foundation and Foundation of Stars, and the TransMedTech Excellence Postdoctoral Fellowship from the Canada First Research Excellence Fund through the TransMedTech Institute. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Polytechnique Montreal, P.O. Box 6079, Montreal, Québec, H3C 3A7, Canada

    Egidie Uwase, Maxime Caru, Maxence Abasq & Delphine Périé

  2. Research Center, Sainte-Justine University Health Center, Montreal, Canada

    Maxime Caru, Daniel Curnier, Gregor Andelfinger, Maja Krajinovic, Caroline Laverdière, Daniel Sinnett & Delphine Périé

  3. Department of Pediatrics, University of Montreal, Montreal, Canada

    Gregor Andelfinger, Maja Krajinovic, Caroline Laverdière & Daniel Sinnett

  4. School of Kinesiology and Physical Activity Sciences, Faculty of Medicine, University of Montreal, Montreal, Canada

    Daniel Curnier

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  1. Egidie Uwase
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Contributions

MC, DC, GA, MK, CL, DS and DP conceived the study. EU, MC, MA performed data analysis and EU wrote the manuscript. All authors contributed to the experimental design and all authors revised the final version of the manuscript.

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Correspondence to Delphine Périé.

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Uwase, E., Caru, M., Curnier, D. et al. Relationship between cardiac mechanical properties and cardiac magnetic resonance imaging at rest in childhood acute lymphoblastic leukemia survivors. Int J Cardiovasc Imaging 39, 2589–2598 (2023). https://doi.org/10.1007/s10554-023-02953-4

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