ArticleCancers2025
Lymph Node Reporting and Data System (LN-RADS)-Retrospective Evaluation for Ultrasound Classification of Superficial Lymph Nodes.
Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Diagnostic performance and timeliness of ultrasound-guided core needle biopsy for peripheral lymphadenopathy in Internal Medicine: a multicenter real-world study.Internal and emergency medicine · 2026Article
- Parotid Metastases from Head-Neck Cutaneous Squamous Cell Carcinoma: A Prognostic Stratification.Current oncology (Toronto, Ont.) · 2026Article
- Artificial Intelligence and Endobronchial Ultrasound for Lymph-Node Detection and Characterization: A Pioneer Multicenter Transatlantic Study.Journal of clinical medicine · 2026Article
- Preoperative identification of the risk factors of cervical lymph node metastasis in medullary thyroid carcinoma.Frontiers in endocrinology · 2025Article
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10 authors.
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Abstract
introductionThe evaluation of lymph nodes (LNs) in patients with suspected oncological disease is a crucial factor influencing further diagnostics and management. However, there is a lack of a dedicated system for the precise and comprehensive assessment of LNs. To address this gap, we developed the Lymph Node Reporting and Data System (LN-RADS).
methodsThis retrospective multiparametric analysis included the assessment of 719 LNs in 489 patients. The images were evaluated by three radiologists using the LN-RADS scale, assigning each case to one of six group: 1 (normal), 2 (steatotic), 3 (reactive), 4a (low suspicion of malignancy) vs. 4b (high suspicion of malignancy), and 5 (definitely malignant) and were then correlated with histopathological results. The diagnostic performance of LN-RADS was validated. The analysis of 12 morphological features of LNs was performed to identify predictors of malignancy.
resultsHistopathological analysis confirmed 389 malignant and 330 benign LNs. LN-RADS achieved 89% sensitivity, 85% specificity, and 87% accuracy in the diagnosis of malignant LN. The observed risk of malignancy by group was 0% for LN-RADS 1, 0% for LN-RADS 2, 2% for LN-RADS 3, 31% for LN-RADS 4a, 77% for LN-RADS 4b, and 97% for LN-RADS 5. Cohen's kappa statistic indicated substantial inter-reader agreement. Among the evaluated features, the strongest predictor of malignancy was the cortex thickness diameter, with a threshold value of ≥6 mm (82% accuracy; AUC = 0.894).
conclusionsThis study demonstrated the high efficacy of the LN-RADS system in distinguishing between benign and malignant lymph nodes and in stratifying malignancy risk. It also showed substantial inter-rater agreement.
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