How Could Machine Learning and Radiomics Improve Ovarian Cancer Care?
Usually preoperative tumour biopsy is needed to determine ovarian cancer type. This is invasive with high cost and takes time. The same assessment is now available from a patient’s routine preoperative CT scan at presentation.
A score, calculated from CT data, termed the Radiomic Prognostic Vector (RPV) reliably identifies the 5% of patients with median overall survival expectation of less than 2 years.
Patients with high RPV are likely not to benefit from standard surgery and chemotherapy and may need alternative care.
No comments:
Post a Comment