Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model.

ABSTRACT:

Objectives

To determine if predictions of the Lung Cancer Prediction convolutional neural network (LCP-CNN) artificial intelligence (AI) model are analogous to the Brock model.

Methods

In total, 10,485 lung nodules in 4660 participants from the National Lung Screening Trial (NLST) were analysed. Both manual and automated nodule measurements were inputted into the Brock model, and this was compared to LCP-CNN. The performance of an experimental AI model was tested after ablating imaging features in a manner analogous to removing predictors from the Brock model. First, the nodule was ablated leaving lung parenchyma only. Second, a sphere of the same size as the nodule was implanted in the parenchyma. Third, internal texture of both nodule and parenchyma was ablated.

Results

SUBMITTER: Chetan MR 

PROVIDER: S-EPMC9279235 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature