AI reads CT scans to predict lung cancer comeback

NCT ID NCT07552532

Ongoing Knowledge-focused Sponsor: Guangming Lu Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looks at CT scans and other data from 2000 lung cancer patients to build a tool that predicts if the cancer will come back after surgery. The goal is to help doctors decide who needs closer monitoring. It is a retrospective study, meaning it analyzes past information rather than testing a new treatment.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a tool that helps doctors predict which lung cancer patients are at higher risk of recurrence after surgery, enabling more personalized follow-up and treatment plans.
What could go wrong: This is a retrospective study, meaning it looks back at existing data, not a prospective trial. The model may not work as well in real-world settings or different patient groups.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

lung cancer lung neoplasm non-small cell lung carcinoma

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

LUNG CANCER (NSCLC)

Contacts and locations

Locations

Jinling Hospital

Nanjing, Jiangsu, 210002, China

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