Researchers analyze scans to better predict lung cancer outcomes
NCT ID NCT07066813
Summary
This study aims to determine the best way to measure and classify lung tumors that contain air-filled cysts, which can make accurate staging difficult. Researchers will review medical records and CT scans from 500 patients who already had surgery for this specific type of lung cancer. The goal is to find imaging methods that better predict patient survival and guide treatment decisions.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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The Second Xiangya Hospital of Central South University
RECRUITINGChangsha, Hunan, 410011, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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