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Sponsor: Central South University
Conditions: Lung Cancer Associated With Cystic Airspaces
Countries: China
The goal of this observational study is to determine the most accurate tumor size measurement method for T-staging and prognostic assessment in lung cancer with cystic airspaces (LCCA). The main questions it aims to answer are: * What is the optimal T-staging approach for accurately classifying lung cancer with cystic airspaces (LCCA) and predicting patient outcomes? * How do imaging features of cystic lesions correlate with their pathological characteristics? * What is the relationship between imaging features of cystic airspace-associated lesions and patient prognosis? * Can optimizing the T-staging method improve clinical decision-making in patients with LCCA?
Sex: ALL
Healthy volunteers: No
Study type: OBSERVATIONAL
Inclusion Criteria: 1. Histologically confirmed non-small cell lung cancer (NSCLC), as verified by biopsy or postoperative pathological examination; 2. Patients who have undergone surgical lung resection; 3. Patients with complete preoperative chest CT imaging data; 4. Preoperative chest CT showing a well-defined gas-containing (air-filled) cystic component within the tumor. Exclusion Criteria: 1. History of pulmonary diseases that could produce cystic lung lesions (e.g., tuberculosis, pulmonary fungal infections, bullae, emphysema, Lymphangioleiomyomatosis \[LAM\], or Birt-Hogg-Dubé \[BHD\] syndrome); 2. Systemic anti-tumor therapies, including chemotherapy, radiotherapy, or targeted therapies (such as monoclonal antibodies, small-molecule tyrosine kinase inhibitors, among others), were administered prior to enrollment; 3. Patients with concurrent other malignancies; 4. Patients with missing or poor-quality preoperative chest CT imaging data.
- Changsha, Hunan, China