ArticleFrontiers in oncology2023
The value of multimodal ultrasound in diagnosis of cervical lymphadenopathy: can real-time elastography help identify benign and malignant lymph nodes?
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 6 citations in OpenAlex.
- Clinical value of artificial intelligence computer-aided diagnosis system in lymph node ultrasonography: A STARD-compliant article.Medicine · 2026Article
- Application of conventional and contrast-enhanced ultrasound in diagnosing cervical tuberculous lymphadenitis.Frontiers in medicine · 2026Article
- Preoperative ultrasound risk stratification of submandibular gland lesions: a retrospective cohort study.Frontiers in surgery · 2026Article
- Clinical Characteristics and Survival Analysis of Patients with Supraclavicular Fossa Lymphadenopathy.Diagnostics (Basel, Switzerland) · 2025Article
- Diagnostic value of high-frame-rate contrast-enhanced ultrasound and contrast vector imaging for superficial lymph node lesions.BMC cancer · 2025Article
- Can Ultrasound Evaluation of Lymph Node Size and Necrosis Rate Predict Chemotherapy Response in Cervical Tuberculous Lymphadenitis?Infection and drug resistance · 2024Article
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Authors and funding
8 authors at 4 institutions in 1 country.
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Abstract
Aim: To investigate the multimodal ultrasound(MMUS) features of cervical lymphadenopathy and to assess its value in the differential diagnosis of benign and malignant cervical lymph nodes. Methods: A retrospective analysis of 169 patients with cervical lymph node enlargement who attended Hangzhou Red Cross Hospital from March 2020 to October 2022. All patients underwent conventional ultrasound (CUS), contrast-enhanced ultrasound (CEUS), and real-time elastography (RTE), and were divided into training set and validation set. Univariate analysis was applied to screen out statistically significant parameters, and CUS model and MMUS model were constructed by multifactorial logistic regression analysis. The receiver operator characteristic (ROC) curve was established, and the area under the curve (AUC) was used to compare CUS model with MMUS model to assess the value of MMUS. Results: Of the cervical 169 lymph nodes in 169 patients included in the study. The 169 enrolled patients were divided into a training set (132 patients) and a validation set (37 patients). In the training set, univariate analysis showed statistically significant differences in long diameter/short diameter(L/S), border, margin, hilus, dermal medulla boundary, blood flow type, enhancement mode, enhancement type, and RTE score (all p< 0.05). Multifactor logistic analysis showed that L/S, blood flow type, enhancement mode and enhancement type were correlates of malignant lymph nodes (all p< 0.05). The comparison of AUC demonstrated that the discriminative ability of the MMUS model was superior to using the CUS model, both in the training set(p = 0.004) and validation set (p<0.001). Conclusion: In this study, MMUS shows higher diagnostic efficiency than CUS. Ultrasound features such as L/S, blood flow type, mode of enhancement, type of enhancement are helpful in distinguishing benign and malignant lymphadenopathy. The addition of CEUS can greatly improve the sensitivity and specificity of ultrasonic diagnosis of malignant cervical lymph nodes. RTE score is of limited value in the diagnosis of malignant cervical lymph nodes.
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