Delphine Perie1, Clémence Balosetti1, Hélène Héon2, Nagib Dahdah3, Farida Cheriet1, Matthias Friedrich4, and Daniel Curnier5
1Mechanical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Research Center, CHUM, Montreal, QC, Canada, 3Pediatric cardiology, CHU Sainte-Justine, Montreal, QC, Canada, 4Health Center, McGill University, Montreal, QC, Canada, 5Kinesiology, Université de Montréal, Montreal, QC, Canada
Synopsis
Some Cardiovascular
magnetic resonance (CMR) studies investigated the long term effects of cancer
treatments, but were never applied to the detection of early changes during cardiotoxicity
remodelling. The CMR parameters we
investigated in the miniature swine therapeutic model with doxorobucin was able
discriminate treated animals from controls. Differences were detectible earlier
than onset of classical echocardiographic changes. Translating these
observations to personalized medicine approach could be the premise for the
oncologist to know accurately when the treatment just starts to have
deleterious effect on myocardium instead of just observing that the heart was
damaged by doxorubicin.
Purpose
Cancer chemotherapy is an effective treatment to
treat cancer in both adults and children. However, the associated
cardiotoxicity of doxorubicin, the most commonly used anticancer agent, is a
well-known serious side effect leading to long-term morbidity. Some
Cardiovascular magnetic resonance (CMR) studies investigated the long term
effects of cancer treatments (1,2,3), but were never applied to the
detection of early cardiotoxicity remodelling so that
preventive strategies can be applied and evaluated. We simulated
doxorubicin-induced cardiotoxicity in the miniature swine and assessed the
sensitivity of a novel CMR protocol and associated analysis methods to detect early
cardiotoxicity remodelling.Methods
Female Yucatan miniature swine
received either a chemotherapy treatment using doxorubicin (doxorubicin group,
n=5, 5 doses of 75mg/m2, 3 weeks interval) or saline (control group,
n=2). Three MRI scans and three echocardiography exams were performed before
the 1st injection (A1), after the 4th injection (A2), and
3 weeks after the last injection (A3) (Figure 1). The CMR protocol consisted of
an
ECG-gated cine TruFISP sequence (slice thickness 6 mm, repetition time 37.2s,
effective echo time 1.63s, flip angle 48°, matrix 174 × 208 and spatial resolution
1.05mm × 1.05mm), a MOLLI sequence for T1 mapping and a T2-prepared
TrueFISP sequence for T2 mapping. Post-gadolinium T1
images were acquired using ProHance (0.2ml/kg, Bracco, USA) as a contrast
agent. We developed
new imaging analysis methods including a semi-automatic segmentation based on
an interactive implementation of cubic Bezier curves and a finite element model
with an isotropic hyperplastic behavior law and intra-myocardial displacements
injected as loading conditions. T1 and T2 maps were generated using phase
sensitive inversion recovery (PSIR) fitting and unsupervised curve-fitting
based on a two-parameter equation respectively. Hematology lab results,
clinical signs, echocardiography measures and CMR parameters were compared using
a two‐ways analysis of variance, the first way
being the group (doxorubicin versus control) and the second way being the
acquisition (A1, A2, A3).
Results
The miniature swine
from the doxorubicin group developed alopecia, suffered from diarrhea and
presented decreased white blood cells and platelets. In echocardiography,
reductions of shortening fraction, ejection fraction and aortic blood flow were
apparent at the last exam in the doxorubicin group. From cine-CMR, areas,
lengths, thicknesses and LV torsion presented similar patterns along the
cardiac cycle, but with different amplitudes between acquisitions and groups.
For the LV end-diastolic cumulative displacements (Figure 2), the curve
amplitude increased from A1 to A3 in the control group while it remains
constant in the doxorubicin group. Cumulative von-Mises strain decreased at A3
in systole and late diastole in the doxorubicin group (Figure 3). T1pre
decreased from A1 to A3 in the control group, T1post decreased from A1 to A3 in
both control and doxorubicin groups, and T2 decreased from A1 to A3 in the
doxorubicin group (Figure 4).
Discussion
The
decrease of ejection fraction and shortening fraction in our doxorubicin group
observed in the last exam corresponds to the literature findings (1,4).
The increase of the wall thicknesses and displacements from A1 to A3 in the
control group could be explained by the normal growth of the heart. In the
doxorubicin group, these parameters remained constant, suggesting that the
animals did not grow as well as the control group, as confirmed by the reduced weight
in the doxorubicin group. The decrease of ventricular area and length in the
doxorubicin group also suggested these parameters as good indicators of the
heart health, deteriorated by the doxorubicine. The slight reduction in T1pre
measures in the control group from A1 to A3 could be associated to an increased
lipid deposition, associated to the weight gain during the study. The decrease
observed in T1post measures from A1 to A3, more important in the doxorubicin
group than in the control group, might be related to myocardial diffuse
fibrosis. The main limitation of the project was the small number of animals
inducing a low statistical power. Thus, we focused on analytical analysis to
understand the parameter behaviours.
Conclusion
The CMR parameters we
investigated in the miniature swine therapeutic model with doxorobucin was able
discriminate treated animals from controls. Differences were detectible earlier
than onset of classical echocardiographic changes. Translating these observations
to personalized medicine approach could be the premise for the oncologist to
know accurately when the treatment just starts to have deleterious effect on
myocardium instead of just observing that the heart was damaged by doxorubicin.
Acknowledgements
We
thank the CRCHUM’s Animal facility for the treatment and care of the
animals.This project was funded by the “Fonds de Recherche du Québec en Nature
et Technologies” (FRQNT, Team grant) and the Natural Sciences and Engineering
Research Council of Canada (NSERC, Discovery grant).
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