Efficacy of ultrasound-guided core needle gun biopsy in diagnosing cervical lymphadenopathy

초록

Objectives: Ultrasound-guided fine needle aspiration cytology (US-FNA) is useful for diagnosing cervical lymphadenopathy. However, FNA, has a high false negative rate, especially in patients with lymphoma. Ultrasound-guided core needle gun biopsy (US-CNB) has recently become important for diagnosing cancers, but its value remains undetermined. This study evaluates the efficacy of US-CNB, performed in an outpatient setting, in diagnosing cervical lymphadenopathy and the spectrum of related diseases. Materials and methods: This retrospective study included 79 subjects who were not squamous cell carcinoma suspects and did not have a history of malignancy between January 2006 and July 2009. A US-CNB was performed on enlarged cervical lymph nodes (> 1.0 cm) in all subjects. Diagnostic sensitivity, specificity, and accuracy of US-CNB in differentiating between malignant and benign lymphadenopathy were evaluated. All enrolled subjects underwent a planned US-FNA before the study US-CNB was performed. Results of US-CNB and US-FNA were compared. Results: The correct histopathological diagnoses were made in 73 of 79 subjects (91.1%) using US-CNB samples. Of these, the most common diagnoses were reactive hyperplasia (26 subjects), Kikuchi's disease (17 subjects), tuberculous lymphadenitis (15 subjects), lymphoma (8 subjects), and metastatic carcinoma (3 subjects). The US-CNB was very good at differentiating between malignant and benign lymphadenopathy, with a diagnostic sensitivity, specificity, and accuracy of 91.6%, 100%, and 98.6%, respectively. Additionally, US-CNB was more accurate than US-FNA in identifying lymphoma (88.8% vs. 11.1%) and Kikuchi's disease (89.4% vs. 29.4%). No US-CNB related-complications were observed. Conclusion: The US-CNB is safe, effective, and has a high diagnostic yield for cervical lymphadenopathy. The US-CNB may also be useful for diagnosing lymphoma and Kikuchi's disease. (C) 2016 Elsevier Masson SAS. All rights reserved.

키워드