METHODS AND SYSTEMS FOR ASSESSING RISK OF BREAST CANCER RECURRENCE

摘要

The subject disclosure presents systems and computer-implemented methods for assessing a risk of cancer recurrence in a patient based on a holistic integration of large amounts of prognostic information for said patient into a single comparative prognostic dataset. A risk classification system may be trained using the large amounts of information from a cohort of training slides from several patients, along with survival data for said patients. For example, a machine-learning-based binary classifier in the risk classification system may be trained using a set of granular image features computed from a plurality of slides corresponding to several cancer patients whose survival information is known and input into the system. The trained classifier may be used to classify image features from one or more test patients into a low-risk or high-risk group.

主权项

1. An image processing method for analyzing at least first and second images obtained from an early stage breast cancer biopsy tissue sample, the tissue sample being ER-positive and HER2-negative, the tissue sample being marked by multiple stains for identification of biological features, the method comprising:
acquiring a predetermined plurality of prognostic marker-specific biological features by performing an image analysis on the at least first and second images individually, each of the acquired marker-specific biological features having at least one numerical vale assigned thereto being descriptive of the biological feature; computing a predefined plurality of prognostic inter-marker features by calculating combinations of the numerical values of predefined pairs of the marker-specific biological features acquired from different ones of the at least first and second images; and entering the plurality of acquired prognostic marker-specific biological features and the plurality of prognostic inter-marker features into a trained predictor; wherein the predictor outputs a first signal or a second signal in response to the entry of the plurality of prognostic marker-specific biological features and prognostic inter-marker features, the first signal being indicative of a requirement for adjuvant chemotherapy and the second signal being indicative of the adjuvant chemotherapy being unnecessary.