A nomogram for predicting the risk of invasive pulmonary adenocarcinoma for patients with solitary peripheral subsolid nodules

We developed a nomogram that can predict the risk of invasive pulmonary adenocarcinoma for patients with a solitary peripheral subsolid nodule. Validation by the use of bootstrap resampling revealed optimal discrimination and calibration, indicating that the nomogram may have clinical utility. This model has the potential to assist clinicians in making treatment recommendations.