Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study.

Objectives: In this multi-center study, we proposed a structured reporting (SR) framework for non-small cell lung cancer (NSCLC) and developed a software-assisted tool to automatically translate image-based findings and annotations into TNM classifications. The aim of this study was to validate the software-assisted SR tool for NSCLC, assess its potential clinical impact in a proof-of-concept study, and evaluate current reporting standards in participating institutions.

Methods: A framework for SR and staging of NSCLC was developed in a multi-center collaboration.