A novel nomogram for predicting mediastinal lymph node metastasis in non-small cell lung cancer: a retrospective analysis.

ABSTRACT:

Background

Accurate assessment of lymph node metastasis (LNM) is crucial for preoperative staging and treatment planning in patients with lung cancer. While previous research has explored LNM risk in non-small cell lung cancer (NSCLC), clinical validation of multifactorial predictive models is lacking. This study aimed to develop and validate a dynamic nomogram for predicting LNM in NSCLC patients.

Methods

We retrospectively analysed 619 NSCLC patients and divided them into training (70%) and validation (30%) groups. Univariate and multivariate ordinal logistic regression analyses identified predictive factors for LNM. Variables were selected via least absolute shrinkage and selection operator (LASSO) regression. A dynamic nomogram was developed on the basis of logistic regr

SUBMITTER: Mei J 

PROVIDER: S-EPMC12433079 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature