Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodules.

ABSTRACT:

Objective

To test the performance of a DL model developed and validated for screen-detected pulmonary nodules on incidental nodules detected in a clinical setting.

Materials and methods

A retrospective dataset of incidental pulmonary nodules sized 5-15 mm was collected, and a subset of size-matched solid nodules was selected. The performance of the DL model was compared to the Brock model. AUCs with 95% CIs were compared using the DeLong method. Sensitivity and specificity were determined at various thresholds, using a 10% threshold for the Brock model as reference. The model's calibration was visually assessed.

Results

The dataset included 49 malignant and 359 benign solid or part-solid nodules, and the size-matched dataset included 47 malignant and 47 benign solid n

SUBMITTER: Dinnessen R 

PROVIDER: S-EPMC12711984 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature