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HRCT in Prediction of Tumor Invasion in GGO Lung Adenocarcinoma (ECTOP-1008)

Fudan University logo

Fudan University

Status

Completed

Conditions

Adenocarcinoma of Lung

Study type

Observational

Funder types

Other

Identifiers

NCT04165759
PRSHRCT

Details and patient eligibility

About

This study is one of Eastern Cooperative Thoracic Oncology Projects (ECTOP-1008). It 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.

Full description

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.

Enrollment

620 patients

Sex

All

Ages

15 to 85 years old

Volunteers

No Healthy Volunteers

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.

Trial design

620 participants in 1 patient group

patients
Description:
Patients with lung cancer who are candidates for surgery.

Trial contacts and locations

2

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Data sourced from clinicaltrials.gov

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