Abstract: A method is disclosed for obtaining an image biomarker that quantifies the quality of the trabecular structure of bones. The method includes: retrieving high-resolution CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) trabecular images from an image database; pre-processing and post-processing the high-resolution CT and/or MRI trabecular images and obtaining the unique image biomarker “QTS”. Pre-processing may include: calculating the region of interest “ROI”; calculating the bone fraction map; eliminating the partial volume effect; and, binarizing. Post-processing may include: skeletonisation and extraction of morphological and structural characteristics. Lastly, the unique image biomarker “QTS” is defined as: QTS=0.7137*Comp1+0.2863*Comp2.

Abstract: The present invention refers to an in vitro method for predicting cardiotoxicity risk in a cancer patient receiving, or susceptible to receive, anthracyclines chemotherapy based on the determination of the expression levels of a combination of 10 circulating miRNAs consisting of miRNA 16-5p, miRNA 22-3p, miRNA 30b-5p/30c-5p, miRNA 92b-3p, miRNA 148a-3p, miRNA-150-5p, miRNA-192-5p, miRNA 215-5p, miRNA 486-3p/486-5p and miRNA-4732-3p, in a biological sample isolated from the patient. The present invention also refers to said set of 10 circulating miRNAs for its use as biomarker of prediction of cardiotoxicity risk in cancer patients receiving, or susceptible to receive, anthracyclines chemotherapy. Finally, a method for the prevention of cardiotoxicity, in patients receiving or susceptible to receive anthracyclines chemotherapy, that comprises modulating the expression levels of the set of said 10 circulating miRNAS is contemplated.