HRCT in Prediction of Tumor Invasion in GGO Lung Adenocarcinoma
Preoperative Evaluation of High-resolution Computed Tomography to Predict Pathologic Tumor Invasion in Ground-glass Opacity Featured Lung Adenocarcinoma
This study aims to evaluate the correlation between radiological diagnosis based on HRCT and pathological invasiveness.Investigators observe the radiological features and the correlation with the postoperative pathological findings.
Preoperative evaluation of pathologic tumor invasion of ground glass opacity (GGO) featured lung adenocarcinoma is important for selection of appropriate surgical extent. Whether thoracic high-resolution computed tomography (HRCT) scan could precisely predict pathologic tumor invasion remains unknown. Patients with peripheral GGO nodules (GGNs) would be enrolled, and HRCT with target scan would be performed preoperatively. Pathologic tumor invasion (invasive adenocarcinoma [IAD] versus adenocarcinoma in situ [AIS]/minimally invasive adenocarcinoma [MIA]) would be evaluated according to radiologic parameters of HRCT before surgery. Primary endpoint of this trial is the diagnostic sensitivity of pathologic tumor invasion evaluated by HRCT. Secondary endpoint is the diagnostic value of radiologic parameters of HRCT for pathologic tumor invasion of GGO featured lung adenocarcinoma.
Value of radiologic parameters for tumor invasion
Adenocarcinoma of Lung
Study Arms / Comparison Groups
Description: Patients with lung cancer who are candidates for surgery.
* Includes publications given by the data provider as well as publications identified by National Clinical Trials Identifier (NCT ID) in Medline.
November 18, 2019
July 1, 2021
Primary Completion Date
April 30, 2021
Inclusion Criteria: (1) GGNs on HRCT scan; (2) clinical stage IA; (3) simultaneously no more than three nodules; (5) Age ranging from 15 to 85 years. Exclusion Criteria: (1) pathologically confirmed non-adenocarcinoma; (2) patients who did not receive surgery.
15 Years - 85 Years
Accepts Healthy Volunteers
Haiquan Chen, ,
Fujian Medical University Union Hospital
Haiquan Chen, Principal Investigator, Fudan University