Home
Scholarly Works
Ultrasonographic characteristics of lymph nodes as...
Journal article

Ultrasonographic characteristics of lymph nodes as predictors of malignancy during endobronchial ultrasound (EBUS): A systematic review

Abstract

OBJECTIVES: The primary objective of this study is to systematically review all pertinent literature related to the use of ultrasonographic features to predict malignancy in mediastinal lymph nodes seen during endobronchial ultrasound (EBUS) procedures. MATERIALS AND METHODS: Two independent reviewers completed the search and review (PubMed, EMBASE, Medline, and Cochrane databases) of the resulting titles and abstracts. Following full-text screening, thirteen articles met the inclusion criteria. Heterogeneity prevented any meta-analysis, instead a narrative review was completed. Results from each included article are categorized by the following ultrasonographic features: shape, echogenicity, margin status, central necrosis, short axis length, and central hilar structure. Diagnostic tools are also described in detail. RESULTS: Absence of a central hilar structure and heterogeneous echogenicity were often associated with malignancy; however, consensus was not achieved amongst the included articles. The remaining ultrasonographic features were not consistently associated with malignancy or benign disease status, suggesting a need for prospective analysis. Four diagnostic tools were also assessed. These tools demonstrate that a combination of ultrasonographic features may accurately predict lymph node malignancy rather than a single feature. CONCLUSION: Analysis of ultrasonographic features may prevent the need for repeat EBUS procedures when initial biopsy results are inconclusive. However, prospective external validation of these features is required to determine their true predictive capability. PROSPERO registration number: CRD42017068468.

Authors

Hylton DA; Turner J; Shargall Y; Finley C; Agzarian J; Yasufuku K; Fahim C; Hanna WC

Journal

Lung Cancer, Vol. 126, , pp. 97–105

Publisher

Elsevier

Publication Date

December 1, 2018

DOI

10.1016/j.lungcan.2018.10.020

ISSN

0169-5002

Contact the Experts team