Diagnostic artificial intelligence model predicts lymph node status in non-small cell lung cancer using simplified examination.

ABSTRACT:

Background

Artificial intelligence (AI) technology was introduced in medical data area and applied disease prediction models. This study aimed to establish an AI model for predicting lymph node metastasis based on simple medical examinations in patients with non-small cell lung cancer (NSCLC).

Methods

We retrospectively analyzed 988 patients with NSCLC who underwent radical pulmonary resection with mediastinal lymph node dissection between January 2011 and October 2022. We collected clinical characteristics including age, sex, smoking history, tumor marker levels, tumor side, segment location, total tumor size, solid tumor size and consolidation-to-tumor ratio, obtainable from medical interview, blood tests and plain computed tomography (CT) of the chest. All patients were r

SUBMITTER: Yoshimura R 

PROVIDER: S-EPMC11635210 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature