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Dataset Information

Identification of High-Risk of Recurrence in Clinical Stage I Non-Small Cell Lung Cancer.


ABSTRACT:

Objective

This study aimed to identify patients at a high risk of recurrence using preoperative high-resolution computed tomography (HRCT) in clinical stage I non-small cell lung cancer (NSCLC).

Methods

A total of 567 patients who underwent screening and 1,216 who underwent external validation for clinical stage I NSCLC underwent lobectomy or segmentectomy. Staging was used on the basis of the 8th edition of the tumor-node-metastasis classification. Recurrence-free survival (RFS) was estimated using the Kaplan-Meier method, and the multivariable Cox proportional hazards model was used to identify independent prognostic factors for RFS.

Results

A multivariable Cox analysis identified solid component size (hazard ratio [HR], 1.66; 95% confidence interval [CI]

SUBMITTER: Tsutani Y 

PROVIDER: S-EPMC8215653 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature