AI and CT-based prediction of immunotherapy response in lung cancer patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational project collects CT scans from adults with non-small cell or small cell lung cancer treated at Wuhan Union Hospital around the time they start immunotherapy. Automated tumor segmentation and radiomics feature extraction will be applied to the images, followed by feature selection and development of a machine-learning classification model to predict treatment response and survival. Clinical and pathological data will be combined with imaging features when available, and cases with poor image quality or incomplete follow-up will be excluded. The model will be trained and validated within this single-center cohort to explore whether imaging-based AI can help inform treatment decisions.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Patients were treated for lung cancer in Wuhan Union Hospital from July 2025 to July 2026;
2. Aged \> 18 years old;
3. At least one CT scan before treatment;
4. Tissue biopsy pathological examination confirmed the diagnosis of the above tumors.

Exclusion criteria:

1. Poor image quality;
2. Incomplete clinical data or loss of follow-up;
3. Presence of another primary malignancy other than lung cancer;
4. Unclear pathological diagnosis.

Where it's running

• Union Hospital，Tongji Medical College，Huazhong University of Science and Technology
  Wuhan, Hubei, China Recruiting

Study contacts

• Study coordinator: Lian Yang
• Email: yanglian@hust.edu.cn
• Phone: 18986273791

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.