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Predicting Immunotherapy Response and Survival of Lung Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Lung)

RECRUITINGSponsored by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Actively Recruiting
SponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology
Started2025-07
Est. completion2026-08
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT07059923

Summary

CT imaging data from lung cancer (NSCLC and SCLC) patients prior to the initiation of immunotherapy (and possibly also after treatment) will be collected. The processing pipeline includes automatic tumor segmentation, radiomics feature extraction, feature selection, and construction of a classification model.

Eligibility

Age: 18 Years+Healthy volunteers accepted
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.

Conditions3

CancerLung CancerLung Cancer (Diagnosis)

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