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Dataset Information

Nomogram prediction of the lymph-vascular space invasion in cervical cancer: comparison of 2009 and 2018 staging systems.


ABSTRACT:

Background

Lymph-vascular space invasion (LVSI) is a crucial prognostic factor in cervical cancer (CC), and its assessment is essential for developing personalized treatment strategies.

Objective

The primary objective of this study was to focused on constructing LVSI predictive model based on clinical indicators and evaluating its predictive performance across different FIGO staging cohorts.

Study design

We included 691 patients, with 348 patients having 2009 FIGO stage IB1-IIA2 CC assigned to Cohort 1, and 343 patients with 2018 FIGO stage IB1-IIIC1r CC assigned to Cohort 2. In Cohort 1, univariable and multivariable regression analyses, along with Mallows' Cp, R squared-R, and LASSO, were used to select variables forming Model 1. Model 2 included the FIGO stage. We

SUBMITTER: Li S 

PROVIDER: S-EPMC11937894 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature