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Heravi, Amir Mohammad, Hataminia, Fatemeh, Tavakoli, Maryam, Yaghoobi, Narjes Sadat, Jafarian, Amir Hossein, Rasoulian, Bashir, Alamdaran, Seyed Ali. (1404). Ultrasound-based Node-RADS: Introducing a new Scoring System for Ultrasound-based Classification of Lymphadenopathy. , 37(4), 169-177. doi: 10.22038/ijorl.2025.85674.3883
Amir Mohammad Heravi; Fatemeh Hataminia; Maryam Tavakoli; Narjes Sadat Yaghoobi; Amir Hossein Jafarian; Bashir Rasoulian; Seyed Ali Alamdaran. "Ultrasound-based Node-RADS: Introducing a new Scoring System for Ultrasound-based Classification of Lymphadenopathy". , 37, 4, 1404, 169-177. doi: 10.22038/ijorl.2025.85674.3883
Heravi, Amir Mohammad, Hataminia, Fatemeh, Tavakoli, Maryam, Yaghoobi, Narjes Sadat, Jafarian, Amir Hossein, Rasoulian, Bashir, Alamdaran, Seyed Ali. (1404). 'Ultrasound-based Node-RADS: Introducing a new Scoring System for Ultrasound-based Classification of Lymphadenopathy', , 37(4), pp. 169-177. doi: 10.22038/ijorl.2025.85674.3883
Heravi, Amir Mohammad, Hataminia, Fatemeh, Tavakoli, Maryam, Yaghoobi, Narjes Sadat, Jafarian, Amir Hossein, Rasoulian, Bashir, Alamdaran, Seyed Ali. Ultrasound-based Node-RADS: Introducing a new Scoring System for Ultrasound-based Classification of Lymphadenopathy. , 1404; 37(4): 169-177. doi: 10.22038/ijorl.2025.85674.3883

Ultrasound-based Node-RADS: Introducing a new Scoring System for Ultrasound-based Classification of Lymphadenopathy

Iranian Journal of Otorhinolaryngology
دوره 37، شماره 4، مهر و آبان 2025، صفحه 169-177    اصل مقاله (273.97 K)
نوع مقاله: Original
شناسه دیجیتال (DOI): 10.22038/ijorl.2025.85674.3883
نویسندگان
Amir Mohammad Heravi1؛ Fatemeh Hataminia2؛ Maryam Tavakoli1؛ Narjes Sadat Yaghoobi1؛ Amir Hossein Jafarian3؛ Bashir Rasoulian4؛ Seyed Ali Alamdaran* 1
1Department of Radiology, Mashhad University of Medical Sciences, Mashhad, Iran.
2Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
3Department of Pathology, Mashhad University of Medical Sciences, Mashhad, Iran.
4Department of ENT, Mashhad University of Medical Sciences, Mashhad, Iran.
چکیده
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.
 
کلیدواژه‌ها
Lymphadenopathy classification؛ Ultrasound؛ Node- Reporting and Data System (Node-RADS)
مراجع
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