Nomogram based on preoperative CT imaging predicts the EGFR mutation status in lung adenocarcinoma

Tyrosine kinase inhibitors (TKIs) provide clinical benefits to the lung cancer patients with epidermal growth factor receptor (EGFR) mutations. However, non-invasively determine EGFR mutation status in before targeted therapy remains a challenge. This study aimed develop and validate nomogram for preoperative prediction of adenocarcinoma. The medical records 403 adenocarcinoma confirmed by histology from January 2016 June 2020 were retrospectively collected. We combined CT features risk factors used them build nomogram. performance was evaluated terms calibration, discrimination, usefulness. further validated an independent external cohort. Finally, that contained factors, which could conveniently predict surgery.