Software supports tomography to detect lung cancer

A group of Canadian researchers, led by the Terry Fox Research Institute, are developing a new software, which can accurately identify more than 90% of nodules in the lungs of a high-risk person in the village. CT scans (CT) are benign or malignant.

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Speaking on Sept. 4, Dr. Stephen Lam of British Columbia's Cancer Prevention Agency said that to develop the technology, his team looked at the data of people who have been smoking. , there are lymph nodes or small lumps in the lungs and can determine more than 90% of whether the tumor is cancer. This software, when combined with a low-dose CT scan, can help doctors make decisions and help patients avoid unnecessary tests.

Dr. Lam stressed that: "The important thing of the software is that doctors can reduce the number of appointments for CT scans, and even biopsies for a majority of patients, and reduce the number of people needed. be monitored in the first year below 10% ".

Researchers think the software is important because Canada, along with many other countries, is considering whether to start screening for lung cancer for high-risk subjects. Conducting tests for people who have been smoking may be unnecessary, because subsequent tests give 98% of the tumor in the lung that the tomography machine eventually discovers. is benign.

Currently, doctors often decide the risk of a lung injury or nodule that can develop into cancer based on the size of the lymph nodes. But software developed by Canadian researchers includes other parameters, which have been identified as risk factors such as age, gender, family history, emphysema, lymph node location, and lymphadenopathy. or the presence of hard points on the ganglion.

Dr Heidi Roberts, an X-ray specialist at Princess Margaret's Cancer Center in Toronto, said the software will help eliminate the risks associated with unnecessary tests when reducing the number of reviews. The test must be done for people conducting screening for lung cancer.

According to Mrs. Robert, almost everyone has at least one nodule in the lung and if we have a reliable, quick and easy method to determine if this node is harmful or harmless, that will greatly assist in implementing lung cancer screening. Meanwhile, Dr. Lam hopes that the software will help set up Canadian guidelines for lung cancer screening with CT scans.