Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans.

ABSTRACT:

Background

Outside a screening program, early-stage lung cancer is generally diagnosed after the detection of incidental nodules in clinically ordered chest CT scans. Despite the advances in artificial intelligence (AI) systems for lung cancer detection, clinical validation of these systems is lacking in a non-screening setting.

Method

We developed a deep learning-based AI system and assessed its performance for the detection of actionable benign nodules (requiring follow-up), small lung cancers, and pulmonary metastases in CT scans acquired in two Dutch hospitals (internal and external validation). A panel of five thoracic radiologists labeled all nodules, and two additional radiologists verified the nodule malignancy status and searched for any missed cancers using data fr

SUBMITTER: Hendrix W 

PROVIDER: S-EPMC10611755 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature