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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.
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| Measure | Description | Time Frame |
|---|---|---|
| Progression-free survival | 1 year | |
| disease-free survival | 1 year | |
| overall survival | 1 year |
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Inclusion Criteria:
Exclusion criteria:
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Patients with lung cancer
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Lian Yang | Contact | 18986273791 | yanglian@hust.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Union Hospital,Tongji Medical College,Huazhong University of Science and Technology | Recruiting | Wuhan | Hubei | 430000 | China |
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| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| D004194 | Disease |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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