Purpose: Recent development in anticancer therapies for breast carcinoma allowed an improvement in patients’ survival, notwithstanding a parallel increase of cardiovascular morbidity. Cardiotoxicity of anticancer therapies represents a relevant problem due to its insidious onset and potentially irreversible cardiac damage. The aim of the present study was to test whether 2D speckle tracking analysis can help in predicting overt systolic dysfunction. Methods: A “real world” cohort of 69 patients with breast carcinoma undergoing adjuvant and/or neo-adjuvant chemotherapy was tested 2D-speckle tracking analysis before the beginning of chemotherapy and every 3 months for 1 year. Clinical data, 12-lead ECGs, and lab tests were collected according to the same visit protocol. Results: Over 1-year follow-up, 19 patients (27 %) developed cardiac dysfunction according to the CREC criteria, with an average onset time from enrolment of 6.8 months. A global longitudinal strain (GLS) threshold ≥−16 % at 3 months from chemotherapy was able to predict subsequent systolic dysfunction development with high sensitivity (80 %) and specificity (90 %) and a negative predictive value of 92 %. After the introduction of cardioprotective drugs, left ventricular ejection fraction (LVEF) progressively recovered, while alterations of GLS persisted at 1-year follow-up. Conclusions: Strain imaging with 2D speckle tracking allows the identification of patients at low-risk for chemotherapy-related systolic dysfunction and can help optimizing resources allocations and improving follow-up quality. GLS can also provide a more accurate prognostic index of resolved systolic dysfunction when compared to standard LVEF.
|Data di pubblicazione:||2016|
|Titolo:||Speckle-tracking global longitudinal strain as an early predictor of cardiotoxicity in breast carcinoma|
|Autore/i:||Guerra, Federico; Marchesini, Marco; Contadini, Daniele; Menditto, Alessio; Morelli, Marco; Piccolo, Elisa; Battelli, Nicola; Pistelli, Mirco; Berardi, Rossana; Cascinu, Stefano; Capucci, Alessando|
|Digital Object Identifier (DOI):||10.1007/s00520-016-3137-y|
|Codice identificativo ISI:||WOS:000376678400038|
|Codice identificativo Scopus:||2-s2.0-84959330610|
|Codice identificativo Pubmed:||26923461|
|Tipologia||Articolo su rivista|
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