Eye-tracking technology could help X-ray diagnosis

Researchers at St Martins College (soon to become University of Cumbria) are planning a project that could help to save lives through a reduction in the number of inaccurate X-ray diagnoses and quicker warnings of the early signs of bowel cancer.

Current research shows that as many as 20% of X-rays are subject to a degree of error, a figure that Professor David Manning from the university estimates could be reduced by as much as a quarter in some examinations.

In certain examinations, radiographers and radiologists currently use Computer Aided Diagnosis (CAD) software to perform an initial scan of the X-rays and highlight any areas of concern. Based on these results, the observer then studies the X-ray visually and makes a final diagnosis. However, Professor Manning and colleagues will consider whether this is the most effective technique and suggests the current system could be improved with the help of eye-tracking technology.

This technology can analyse the strategies used by experienced radiologists and radiographers to pin-point which part of the X-ray the eye is focused on and measure it to the accuracy of half of one degree. This information could then be used to re-programme CAD software to identify disease more efficiently, mimicking that of human experts – but in a more consistent way.

This could substantially reduce misdiagnoses. The study could also have implications for the future training of radiographers.

The eye-tracking technology will allow trainee radiographers to keep a record of how accurate an analysis of X-rays they provide in order to further refine their skills.

The team is about to apply for funding for the study, which if successful, will begin during summer 2008 for a three-year trial. The trial will take place at three centres: University of Cumbria, Loughborough University and University College Dublin.

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