Lung Cancer (Diagnosis)
Conditions
Brief 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.
Interventions
None listed
Sponsors
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Progression-free survival | 1 year |
| disease-free survival | 1 year |
| overall survival | 1 year |
Countries
China
Contacts
Primary ContactLian Yang
Outcome results
None listed