This project will assess patterns of use and the diagnostic accuracy of various tests for suspected cancer.
Read more
This project will generate a tool that will estimate positive predictive values for lung cancer in smokers and non-smokers who have negative chest x-ray results in combination with particular symptoms.
Read more
This project aims to generate evidence for optimising diagnostic strategies in patients with comorbidities experiencing possible cancer symptoms, in order to improve diagnostic timeliness.
Read more
This PhD project will develop a set of choice based experiments to explore the preferences of patients, practitioners and the general public towards different diagnostic test strategies and to assess the risk-benefit trade-offs.
Read more
This project aims to assess the feasibility of implementing direct and fast access to TVUS through general practice for women presenting vague and non-specific symptoms, with a view to diagnosing OC earlier.
Read more
This PhD will be the first series of studies in Australia to test and measure the acceptability and usefulness of skin self-monitoring apps for melanoma from a patient perspective.
Read more
The aims of this research are to explore changes in time to cancer diagnosis and estimate the early impact of the revision of NICE guidelines for suspected cancer on the time to diagnosis of cancer.
Read more
In this multi-stage project, we will use routinely collected data to map how patients with ovarian cancer are currently evaluated and investigated in UK primary care, prior to diagnosis.
Read more