Predicting Immunotherapy Response and Survival of Lung Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Lung)
Status: Recruiting
Location: See location...
Study Type: Observational
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
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:
• Patients were treated for lung cancer in Wuhan Union Hospital from July 2025 to July 2026;
• Aged \> 18 years old;
• At least one CT scan before treatment;
• Tissue biopsy pathological examination confirmed the diagnosis of the above tumors.
Locations
Other Locations
China
Union Hospital，Tongji Medical College，Huazhong University of Science and Technology
RECRUITING
Wuhan
Contact Information
Primary
Lian Yang
yanglian@hust.edu.cn
18986273791
Time Frame
Start Date: 2025-07
Estimated Completion Date: 2026-08
Participants
Target number of participants: 400
Related Therapeutic Areas
Sponsors
Leads: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology