Imaging and Pathology Concordance in Head and Neck Cancer: Retrospective Analysis

Our study shows moderate imaging-pathology concordance. Key predictors like lymph node size suggest refining criteria with machine learning could enhance head and neck cancer diagnosis. These results could guide more accurate preoperative imaging assessments, leading to better surgical planning and patient outcomes. Subsequent exploration of adjusting lymph node size thresholds or integrating novel imaging technologies would be useful.