Imaging is an essential tool in animal studies that allows investigators to look inside the bodies of mice to assess the size, shape and location of different tissues. Imaging can be used to monitor how different disease progress and to show how different tissues such as tumours respond to experimental treatments. In humans, new techniques are being developed to analyse routinely collected computed tomography (CT) scans. These images are then analysed by a computer to extract hundreds of features, termed 'radiomics features', which have the potential to uncover different disease characteristics that cannot be detected by the naked eye. This technique can complement traditional diagnosis methods and may help clinicians to make more informed personalised treatment choices and could replace the need for traditional invasive biopsies.
In this project, we will develop a similar approach for radiomics in mouse tissues. We will adapt existing methods used in the patients, to analyse CT scans from different mouse tissues and tumours, and setup a standard procedure for this process. Using this method, we will determine the relationship between the imaging features of different mouse tissues with the particular biological characteristics to develop a new way to monitor disease progression and response to treatment. This approach will deliver extra data from CT scans on the features of tissues, reducing the need for large animal numbers and invasive procedures.