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Diagram showing details of lung screening experiment
A study published at the European Respiratory Society International Congress showed that an artificial intelligence (AI) program can detect signs of lung cancer in CT scans, one year earlier than existing methods
Lung cancer is the most common cause of cancer death, and about 1.
Researchers hope that using artificial intelligence to support lung cancer screening can make this process faster and more effective, and ultimately help diagnose more patients at an early stage
Computed tomography or CT scans have been used to find signs of lung tumors, followed by biopsy or surgery to determine whether the tumor is malignant
The researchers used a set of CT scans from 888 patients to train their artificial intelligence programs, which have been checked by radiologists to identify suspicious growths
They then tested 1,179 different patients who were part of a lung screening test, followed for three years, using CT scans from the last two years of the test
Among the 177 malignant tumors in these CT scans, the program identified 172, which means that it is 97% effective in detecting cancer
The researchers also tested the scan of the 1,179 patients one year before the tumor was diagnosed, and it was able to identify 152 suspicious areas that were later diagnosed with cancer
However, the researchers said that the project also identified too many suspicious areas, not cancer (false positive), which needs to be greatly improved, and then the project can be used clinically, because investigating all of these will lead to unnecessary biopsies
Audelan said: “Screening for lung cancer means more CT scans.
"The purpose of our research is not to replace radiologists, but to help them and provide them with a tool that can detect the earliest signs of lung cancer
The researchers plan to develop a new system that can better distinguish between malignant and non-malignant tissues to help radiologists decide which patients need further research
Professor Joanna Chorostowska-Wynimko was not involved in the study.
"This work is promising because it shows that artificial intelligence can help us quickly view a large number of scans and even detect signs of cancer at an early stage
