Between 30 and 50% of breast and prostate cancer patients will develop spinal metastases [1] which could lead to the vertebrae's structural collapse and damage to the spinal cord. Our objective is to develop a software tool to assess the collapse risk to help in the selection of the most appropriate treatments for these patients. Thus, our objective is to develop a methodology to create a personalized numerical avatar of the patient's vertebrae that incorporates the physical (mechanical) behaviour of the bone to the CT image to obtain, through computer simulation, accurate predictions of the vertebrae's behaviour. The use of the Digital Volume Correlation (DVC) technique, which has already been used for biomechanical applications [2], is a key point in this project. Thus, in this contribution, we will present one of the first results obtained: the use of DVC techniques for the automatic detection of metastatic tumours in vertebrae after the primary tumour.