| Literature DB >> 35451989 |
Giulia Borgonovo1, Elen Vettus2, Alessandra Greco3, Laura Anna Leo4, Francesco Fulvio Faletra4, Catherine Klersy5, Moreno Curti5, Mariacarla Valli1.
Abstract
BACKGROUND: The incidence of breast cancer is rising worldwide. Recent advances in systemic and local treatments have significantly improved survival rates of patients having early breast cancer. In the last decade, great attention has been paid to the prevention and early detection of cardiotoxicity induced by breast cancer treatments. Systemic therapy-related cardiac toxicities have been extensively studied. Radiotherapy, an essential component of breast cancer treatment, can also increase the risk of heart diseases. Consequently, it is important to balance the expected benefits of cancer treatment with cardiovascular risk and to identify strategies to prevent cardiotoxicity and improve long-term outcomes and quality of life for these patients.Entities:
Keywords: breast cancer; cardiac diagnostic imaging; cardiotoxicity; chemotherapy; radiotherapy
Year: 2022 PMID: 35451989 PMCID: PMC9073600 DOI: 10.2196/31887
Source DB: PubMed Journal: JMIR Res Protoc ISSN: 1929-0748
Figure 1Protocol flow chart description. Blood: blood sample for circulating biomarkers; CMR: cardiac magnetic resonance; ECHO: echocardiography; RT: radiotherapy.
Effect size computation assuming a rate of cardiac toxicity at 12 months of p1=17% in the cohort without oedema at magnetic resonance. Power 80%, alpha (2-sided) 20%.
| Hypothesized points with MRa oedema at the end of RTb, % | Detectable effect size in the oedema population, % |
| 5 | 52 (25) |
| 10 | 43 (26) |
| 15 | 39 (22) |
| 20 | 37 (20) |
| 25 | 35 (18) |
aMR: magnetic resonance.
bRT: radiotherapy.
Analysis of the secondary end points.
| Secondary end point | Analysis |
| Detect GLSa decrease of >15% from baseline, measured on ECHOb over the time window of 12 months. | The number of patients with a >15% decrease will be compared between groups with the Fisher exact test. The mean difference in proportions at 12 months and its 80% CI will be reported. |
| See if the changes in biomarkers will correlate with LVEFc measurements, assessed by ECHO and CMRd. | The association of changes in biomarkers and LVEF will be assessed with a linear regression model, while adjusting for oedema. |
| See if the changes in biomarkers will correlate with GLS measurements, assessed by ECHO. | The association of changes in biomarkers and GLS will be assessed with a linear regression model, while adjusting for oedema. |
| Compare the time to biomarkers’ positivity to the time to decrease in GLS >15% or decline in LVEF ≥10% in points with a final LVEF of <53% measured on ECHO. | The times will be compared with the Mann Whitney U test. |
| Find out if patients with increased baseline biomarkers will develop cardiotoxicity; identify predictors of cardiotoxicity by multivariable analysis. | A univariable and multivariable logistic model will be used. |
| Detect MACEe (defined as acute myocardial infarction, hospitalization due to heart failure, atrial flutter or fibrillation, and ventricular tachycardia) or death due cardiac problems during follow-up. | The rate of each overall MACE and that of each event will be computed per 100 person-year with 80% CI. Kaplan Meier curves will be plotted. |
| Assess the role of fibrosis on CMR (T1f mapping with evaluation of extracellular volume) after cardiotoxic radiation therapy or systemic therapy in predicting the incidence of cardiotoxicity. | A univariable and multivariable logistic model will be used. |
| Detect incidence of acute asymptomatic pericarditis after RTg, measured on CMR. | The proportion of patients with acute asymptomatic pericarditis and 80% CI will be computed. |
| Investigate if the area of the oedema on CMR correlates with RT dose distribution. | The Spearman correlation coefficient and 80% CI will be computed. |
| To assess the incidence of myocardial oedema on CMR (T2h mapping) after radiation therapy and cardiotoxic systemic therapy measured on CMR and ECHO over the time window of 12 months from the end of radiation therapy. | The proportion of patients with oedema and 80% CI will be computed. |
aGLS: global longitudinal strain.
bECHO: echocardiography.
cLVEF: left ventricular ejection fraction.
dCMR: cardiac magnetic resonance.
eMACE: major cardiovascular events.
fT1: longitudinal relaxation time.
gRT: radiotherapy.
hT2: transverse relaxation time.