AI tool predicts high-risk lung cancer linked to air-filled spaces
Part of Cancer, Lungs & breathing clinical trials.
This study uses artificial intelligence to examine CT scans and predict whether lung cancer containing air-filled spaces is aggressive. It may help doctors tailor treatment after surgery.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You have been diagnosed with non-small cell lung cancer (the most common type) via biopsy or surgery.
- You had surgery to remove the lung tumor, such as a lobectomy, segmentectomy, or wedge resection.
- Your pre-surgery CT scan shows a clear air-filled space inside the tumor, which is a specific feature doctors call 'lung cancer associated with cystic airspaces.'
- You have not had chemotherapy, radiation, targeted therapy, or immunotherapy before the study.
- You do not have other active cancers or certain lung diseases that cause air-filled lung lesions (like tuberculosis or fungal infections).
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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