Diagnostic Performance of Ultrasound for Differentiating Malignant From Benign Cervical Lymphadenopathy in Children

医学 血管性 门(解剖学) 回声 接收机工作特性 放射科 置信区间 颈淋巴结病 优势比 超声波 病理 内科学 疾病
作者
Jayoung Moon,Jisun Hwang,Pyeong Hwa Kim
出处
期刊:Journal of Ultrasound in Medicine [Wiley]
标识
DOI:10.1002/jum.16686
摘要

Objectives To evaluate the diagnostic performance of ultrasound (US) features used to differentiate malignant from benign cervical lymphadenopathy in children. Methods PubMed and EMBASE were searched for articles reporting the diagnostic performance of US features to differentiate benign and malignant cervical lymphadenopathy in children. Article quality was evaluated using the QUADAS‐2 tool. Sensitivity and specificity were pooled using a bivariate random‐effects model. Further sensitivity analyses and meta‐regression were performed to determine the potential source of heterogeneity. The area under the receiver operating characteristic curve was calculated using the hierarchical summary receiver operating characteristic model. Results Ten articles (1077 children) were included. Among the retrieved US features, abnormal vascularity, heterogeneous echogenicity, abnormal hilum echogenicity, and long‐axis/short‐axis (L/S) ratio were significantly associated with malignant lymphadenopathy, with pooled diagnostic odds ratios of 36 (95% confidence interval [CI]: 14–92), 17 (3–91), 16 (5–54), and 7 (5–9), respectively. The most sensitive US features were abnormal hilum echogenicity (0.86, 95% CI: 0.66–0.95) and heterogeneous echogenicity (0.84, 95% CI: 0.25–0.99). Abnormal vascularity (0.91, 95% CI: 0.82–0.97) was the most specific. Substantial heterogeneity was found in both sensitivity and specificity ( I 2 > 50%; P < .01), although the source was not revealed. Conclusion Among US features, abnormal vascularity, heterogeneous echogenicity, abnormal hilum echogenicity, and L/S ratio are useful for differentiating malignant from benign cervical lymphadenopathy in children, showing good diagnostic performance. These findings should be carefully interpreted due to unexplained heterogeneity, which may lower the validity of the pooled estimates.

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