AI algorithm ‘could improve outcomes for thousands of cancer patients a year’

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Researchers have developed an algorithm that predicts how aggressive a tumour is likely to be more accurately than a biopsy.

A study looked at retroperitoneal sarcoma, a rare disease that is hard to diagnose and treat due to its location

Sarcoma is a type of cancer that develops in the body’s connective tissues, such as fat, muscle and nerves, and according to Cancer Research UK there are 4,300 new cases in England each year. “The disease is very rare – clinicians may only see one or two cases in their career – which means diagnosis can be slow,” Dr Arthur said.

The technology accurately graded how aggressive the tumour was likely to be 82% of the time, while biopsies were accurate in 44% of cases. “As patients with retroperitoneal sarcoma are routinely scanned with CT, we hope this tool will eventually be used globally, ensuring that not just specialist centres – who see sarcoma patients every day – can reliably identify and grade the disease.”

“This kind of technology has the potential to transform the lives of people with sarcoma – enabling personalised treatment plans tailored to the specific biology of their cancer. It’s great to see such promising findings.”

 

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