Related Experiment Video
Updated: Jun 11, 2026
Modified Radical Neck Dissection for Cervical Metastasis
Published on: February 20, 2026
Head-to-head pathologic validation of Node-RADS vs size-based criteria for cervical lymph node metastasis in
Yuan Huang1, Ziyi Wu1, Daqiang Huang1
1Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Background:
Accurate diagnosis of cervical lymph node (CLN) metastasis is essential for staging nasopharyngeal carcinoma (NPC). Conventional size-based MRI criteria exhibit high specificity but low sensitivity, leading to underdiagnosis. This study pathologically validated the Node Reporting and Data System (Node-RADS) vs size criteria for diagnosing CLN metastasis in NPC.
Materials And Methods:
Patients with histologically confirmed NPC who underwent ultrasound-guided fine-needle aspiration cytology (FNAC) of CLNs between March 2014 and April 2023 were included. All patients had a pretreatment head and neck MRI within 7 days before FNAC. Two blinded radiologists independently assigned Node-RADS scores (1-5) to each biopsied node according to the standardized workflow. Diagnostic performance was compared against conventional size-based criteria using receiver operating characteristic (ROC) analysis.
Results:
A total of 273 patients (202 men; median age, 51.0 years [IQR: 37-65]) with 335 CLNs were included, of which 150 (44.8%) were malignant on FNAC. Using a cutoff of Node-RADS ≥ 4, sensitivity and specificity were 96.0% and 98.9%, respectively, with an AUC of 0.97 (95% CI: 0.96-0.99), significantly higher than that of size-based criteria (AUC, 0.82; 95% CI: 0.79-0.86, p < 0.05). Among 227 size-negative nodes, Node-RADS achieved a sensitivity of 87.8% and specificity of 99.4%, correctly identifying 43 of 49 metastatic nodes missed by size criteria (AUC, 0.94; 95% CI: 0.89-0.98).
Conclusion:
The Node-RADS system significantly outperforms conventional size-based criteria for detecting CLN metastasis in NPC, particularly in size-negative nodes. By offering high sensitivity while maintaining excellent specificity, Node-RADS represents a robust imaging tool that could enhance nodal staging accuracy and precise treatment planning.
Key Points:
Question Can a standardized MRI-based nodal scoring system improve the detection of metastatic CLNs in NPC, particularly when nodes remain below conventional size thresholds? Findings In this pathologically validated cohort, Node-RADS outperformed conventional size criteria and correctly identified most metastatic CLNs missed by size-based assessment. Clinical relevance The Node-RADS improves MRI-based detection of metastatic CLNs in NPC while preserving high specificity, supporting more accurate nodal staging and more precise radiotherapy target delineation.
