Lung cancer risk prediction test developed using algorithm with almost 70pc success rate

Australian researchers say they are now capable of predicting which smokers and ex-smokers are most likely to get lung cancer, up to six years before a diagnosis, by using a newly-developed mathematical algorithm. Dr Marianne Weber, from Cancer Council New South Wales, said the Lung Cancer Risk Prediction Tool could foresee who was likely to be affected. "The findings are promising for the future of lung cancer screening in Australia," Dr Weber said. "If you're having a CT scan for lung cancer every year, you are at an increased risk of radiation induced cancer just from the scan itself," Dr Weber said. Dr Kwun Fong, from Brisbane's Prince Charles Hospital, said the tool moved Australia one step closer to a national lung cancer screening program.