Seyed Ali Alamdaran - Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Alieh Randian - Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Bashir Rasoulian - Sinus and Surgical Endoscopic Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Amir Hossein Jafarian - Pathology Cancer Molecular Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Behzad Aminzadeh - Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Shabnam Niroumand - Department of Community Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Introduction: Cervical adenopathy can be involved in various pathological processes. This study aimed to evaluate the ultrasound classification of cervical adenopathy to choose the appropriate approach.Materials and Methods: This cross-sectional study was conducted among ۲۹۴ patients with cervical adenopathies at Mashhad University of Medical Sciences during ۲۰۲۰-۲۰۲۱. The data of the long axis, short axis, shape, border, vascular pattern, presence of calcification and changes in cyst/necrosis, cortical echogenicity, hilum visibility, and location of involved lymph nodes were extracted. Adenopathy was classified into three reactive, lymphoid disorders, and metastatic groups based on ultrasound appearance (Adenopathy-reporting and data system). Diagnostic methods included follow-up, core needle biopsy (CNB), and fine needle aspiration (FNA). After determining the final diagnosis, demographic, sonographic, and pathological data were analyzed at a significance level of p

adenopathy, Cancer, Lymph node, Ultrasound