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Iranian Journal of Otorhinolaryngology، جلد ۳۷، شماره ۴، صفحات ۱۶۹-۱۷۷
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عنوان انگلیسی Ultrasound-based Node-RADS: Introducing a new Scoring System for Ultrasound-based Classification of Lymphadenopathy
چکیده انگلیسی مقاله Introduction: Lymphadenopathy often causes anxiety due to its association with malignancy or serious infections. This study investigates the role of ultrasound features in distinguishing benign from malignant neck lymphadenopathy and proposes a quantitative scoring system (Node-RADS).Materials and Methods: This cross-sectional study was conducted at Omid Hospital, Mashhad University of Medical Sciences, Iran. Seven hundred ninety-one patients with neck lymphadenopathy underwent gray-scale and Doppler ultrasound, followed by fine needle aspiration (FNA) or core needle biopsy (CNB) for cytopathological confirmation. Key ultrasound features assessed included Short-Axis Diameter (SAD), Cortical/Hilar Echotexture, and Vascular patterns. A scoring system was developed by assigning malignancy coefficients to each variable. Malignancy coefficients (Wi) were assigned based on the prevalence of malignancy for each feature, and a quantitative Node-RADS score was derived. Diagnostic accuracy was evaluated using ROC analysis. Results:Of 791 patients, 68.5% (542) had malignant lymphadenopathy, predominantly metastases (57.1%, 452). Malignancy coefficients (Wi = 9) were extracted to high-risk features: SAD >16 mm (82% malignancy), Isoechoic cortex with compressed hilum (89%), and non-hilar vascularity (91%). The proposed Node-RADS system achieved an AUC of 0.85 (95% CI: 0.817–0.889), demonstrating strong diagnostic performance.Conclusion: The proposed ultrasound-based Node-RADS scoring system correlates significantly with pathologic results, offering an appropriate tool for evaluating cervical superficial lymphadenopathy. 
کلیدواژه‌های انگلیسی مقاله Lymphadenopathy classification, Ultrasound, Node- Reporting and Data System (Node-RADS)
نویسندگان مقاله | Amir Mohammad Heravi
Department of Radiology, Mashhad University of Medical Sciences, Mashhad, Iran.


| Fatemeh Hataminia
Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.


| Maryam Tavakoli
Department of Radiology, Mashhad University of Medical Sciences, Mashhad, Iran.


| Narjes Sadat Yaghoobi
Department of Radiology, Mashhad University of Medical Sciences, Mashhad, Iran.


| Amir Hossein Jafarian
Department of Pathology, Mashhad University of Medical Sciences, Mashhad, Iran.


| Bashir Rasoulian
Department of ENT, Mashhad University of Medical Sciences, Mashhad, Iran.


| Seyed Ali Alamdaran
Department of Radiology, Mashhad University of Medical Sciences, Mashhad, Iran.
نشانی اینترنتی https://ijorl.mums.ac.ir/article_26291.html
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