Construction of a risk prediction model for isolated pulmonary nodules 5-15 mm in diameter.

ABSTRACT:

Background

Based on current technology, the accuracy of detecting malignancy in solitary pulmonary nodules (SPNs) is limited. This study aimed to establish a malignant risk prediction model for SPNs 5-15 mm in diameter.

Methods

We collected clinical characteristics and imaging features from 317 patients with SPNs 5-15 mm in diameter from the 900th Hospital of the Joint Logistic Support Force as a training cohort and 100 patients with SPNs 5-15 mm in diameter as a validation cohort. Univariate logistic regression analysis, least absolute shrinkage and selection operator (LASSO), and binary logistic regression analysis were used to screen for the independent influencing factors of benign and malignant SPN and to establish a prediction model for benign and malignant SPN with a

SUBMITTER: Xie S 

PROVIDER: S-EPMC11632445 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature