Can AI predict high-risk features in lung cancer with cystic airspaces before surgery?

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study develops and tests a multimodal radiomics model that integrates preoperative CT features with clinical data to predict pathological high-risk features in lung cancers associated with cystic airspaces. The model will be trained and validated using data from patients who undergo surgical resection, with postoperative pathology serving as the reference standard. Preoperative imaging and available clinical information will be used to build the AI-based predictor. The goal is to improve preoperative risk stratification and support surgical planning by identifying tumors with greater invasive potential. Eligible participants are NSCLC patients who had surgical resection and have complete preoperative CT imaging showing a cystic component consistent with LCCA.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* 1\. Patients with non-small cell lung cancer (NSCLC) confirmed by biopsy or postoperative pathological examination.

  2\. Patients who underwent surgical resection of a pulmonary tumor, including lobectomy, segmentectomy, or wedge resection.

  3\. Patients with complete preoperative chest CT imaging data. 4. Patients whose preoperative chest CT showed a well-defined air-containing cystic component within the tumor, consistent with the radiological features of lung cancer associated with cystic airspaces (LCCA).

  5\. Patients with available clinical and pathological data required for analysis.

Exclusion Criteria:

* 1\. Patients with a history of pulmonary diseases that may cause cystic lung lesions, such as pulmonary tuberculosis, pulmonary fungal infection, lymphangioleiomyomatosis (LAM), or Birt-Hogg-Dubé (BHD) syndrome. Emphysema will not be considered an exclusion criterion; however, patients with severe emphysema will be excluded if it significantly affects the identification, boundary delineation, or imaging feature assessment of the target lesion.

  2\. Patients who received systemic antitumor therapy before enrollment, including chemotherapy, radiotherapy, targeted therapy, or immunotherapy.

  3\. Patients with other primary malignancies. 4. Patients with missing preoperative chest CT images or CT images of insufficient quality for analysis.

  5\. Patients without a definite pathological diagnosis or with incomplete pathological results.

  6\. Patients with missing clinical data.

Where it's running

• The Second Xiangya Hospital of Central South University
  Changsha, Hunan, China Recruiting

Study contacts

• Study coordinator: Chen Prof.
• Email: chenchen1981412@csu.edu.cn
• Phone: +8673185295188

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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• Exploring early-stage lung cancer with different characteristics using multi-omics

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.