Pretreatment prediction of tumour spread through air spaces in clinical stage I non-small-cell lung cancer.

ABSTRACT:

Objectives

The aim of this study was to construct a nomogram prediction model for tumour spread through air spaces (STAS) in clinical stage I non-small-cell lung cancer (NSCLC) and discuss its potential application value.

Methods

A total of 380 patients with clinical stage I NSCLC in Tianjin Chest Hospital were collected as the training cohort and 285 patients in Fujian Provincial Hospital were collected as the validation cohort. Univariable and multivariable logistic regression analyses were performed to determine independent factors for STAS in the training cohort. Based on the results of the multivariable analysis, the nomogram prediction model of STAS was constructed by R software.

Results

The incidence of STAS in the training cohort was 39.2%. STAS was associated

SUBMITTER: Ding Y 

PROVIDER: S-EPMC9422756 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature