Nomogram Model for Predicting Perineural Invasion in Gastric Cancer

Development of a preoperative nomogram model effectively predicts perineural invasion in advanced gastric cancer. Key independent risk factors include extramural vascular invasion, Borrmann classification, tumor thickness, and systemic inflammation response index. The nomogram demonstrates a high AUC value of 0.838, good calibration, and clinical net benefit. Patients predicted to be PNI-positive have significantly lower disease-free survival. This model aids in risk assessment and postoperative stratification for improved patient outcomes.