METHOD FOR PREDICTING OBESITY RELATED DISEASE USING IMAGES OF THE SUBCUTANEOUS ADIPOSE TISSUE OR THE EPIDIDYMAL ADIPOSE TISSUE

摘要

The present invention relates to obesity related diseases, such as cancer of non- alcoholic fatty liver disease (NAFLD). Tissue perfusion is currently investigated by using dynamic contrast-enhanced magnetic resonance imaging which is an invasive technique and does not provide enough accuracy. As a result, the inventors worked on post- processing images of subcutaneous adipose tissue or the epididymal adipose tissue taken with a magnetic resonance imaging technique and a multifrequency magnetic resonance elastography technique to obtain parameters such as loss modulus and storage modulus which are more accurate for a diagnosing purpose. This post-processing method may be applied for a method for predicting that a subject is at risk of suffering from said disease, identifying a therapeutic target or a biomarker and screening compounds useful as medicine.