Establishing and validation of the VBV score for assessing Lung ground-glass nodules based on high-resolution computed tomography.

ABSTRACT:

Background

The widespread utilization of chest High-resolution Computed Tomography (HRCT) has prompted detection of pulmonary ground-glass nodules (GGNs) in otherwise asymptomatic individuals. We aimed to establish a simple clinical risk score model for assessing GGNs based on HRCT.

Methods

We retrospectively analyzed 574 GGNs in 574 patients undergoing HOOK-WIRE puncture and pulmonary nodule surgery from January 2014 to November 2018. Clinical characteristics and imaging features of the GGNs were assessed. We analyzed the differences between malignant and benign nodules using binary logistic regression analysis and constructed a simple risk score model, the VBV Score, for predicting the malignancy status of GGNs. Then, we validated this model via other 1200 GGNs in 1041 pat

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC10804577 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature