Breast Cancer Clinical Trial
Official title:
A Comparative Single-centre Study to Evaluate an Enhanced Artificial Intelligence Breast MRI Interpretation System in Women Over 20 With Breast Lesions
Interpretation of breast MR images is a very time-consuming process and places a great burden on breast radiologists. This project aims to develop a technical solution that addresses this healthcare challenge by developing a system that is able to automatically interpret breast MR images in order to aid the radiologist in their diagnosis.
Breast cancer is the most common type of cancer in women worldwide, with nearly 1.7 million
new cases diagnosed in 2015. In the UK, one in five cases of breast cancer results in a
fatality. The IntelliScan project aims to develop a technological solution that addresses a
significant healthcare challenge. IntelliScan will develop a software system that will be
able to interpret breast MR images automatically in order to identify potential breast
cancers.
Regular MRI screening of the breast is offered to women from the age of 20, who are at higher
risk of developing breast cancer. MR image sequences provide a large amount of information to
the radiologist and the interpretation of images is a manual process, which is very time
consuming. The high number of women eligible for MRI screening combined with the amount of
data provided by MRI scans places a great burden on healthcare systems. Therefore,
automatisation of this process would greatly relieve this burden and also has the potential
to provide more accurate diagnoses.
In this first study, the system's user interface as well as the algorithm will be developed
using existing MRI scans. Existing MRI scans with known breast anomalies will be used to
develop the decision-making basis for the algorithm. The system will then be tested using
existing MRI scans without information about possible anomalies and results will be compared
to results from the software system currently in use. In addition, the user-friendliness of
the system's user interface will also be evaluated.
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