Condition: Lung Cancer Associated With Cystic Airspaces · Sponsor: Central South University
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?
This description comes directly from the study's public registry record.
Chen Chen · +8673185295188 · chenchen1981412@csu.edu.cn
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| The Second Xiangya Hospital of Central South University | Changsha, Hunan, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07066813