Predictive Factors and Nomogram for Malignant Pulmonary Nodules (≤ 1 cm).

ABSTRACT:

Introduction

Models for predicting malignancy in pulmonary nodules ≤ 10 mm are lacking. This study aimed to identify predictive factors and develop a risk model for such nodules.

Methods

A retrospective cohort study analyzed 298 patients with pulmonary nodules ≤ 1 cm. Variables including sex, smoking, nodule position, density, enhancement, diameter, and calcification were considered. A nomogram was developed using forward stepwise selection.

Results

The nomogram, incorporating the seven aforementioned variables, achieved an area under the curve of 0.79. Multivariable analysis identified partial-solid/nonsolid density (vs. solid), larger diameter, and the absence of calcification as significant independent predictors of malignancy. At its optimal threshold, the nomogra

SUBMITTER: Cao Z 

PROVIDER: S-EPMC12933631 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature