JOURNAL ARTICLE

Endobronchial Ultrasound Elastography for Differentiating Benign and Malignant Lymph Nodes

Abstract

<b><i>Background:</i></b> Endobronchial ultrasound elastography that provides information on tissue stiffness may help distinguish malignant from benign mediastinal and hilar lymph nodes. <b><i>Objectives:</i></b> In this prospective trial, we assessed the diagnostic value of elastographic images and the interobserver agreement in its evaluation. <b><i>Method:</i></b> Elastographic images from 77 lymph nodes in 65 patients were reviewed by 3 pneumologists. The elastographic image was classified based on the predominant colour: predominantly green, intermediary, and predominantly blue. With 2 or 3 interobserver matches, the corresponding elastographic image was correlated with the pathological result obtained from endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) and/or other invasive procedures. <b><i>Results:</i></b> All 3 reviewers had agreement in classifying elastographic images in 45% (35/77). Overall, the interobserver agreement among the 3 readers for classifying elastographic pattern was found to be moderate (Fleiss Kappa index = 0.519; 95% CI = [0.427; 0.611]). On cytological/histological evaluation, 55 lymph nodes were malignant and 22 were benign. In classifying “green” as benign and “blue” as malignant, the sensitivity and specificity were 71% (95% CI = [54%; 85%]) and 67% (95%-CI = [35%; 90%]), respectively. <b><i>Conclusions:</i></b> Elastography will not replace invasive EBUS-TBNA due to a moderate interobserver agreement and insufficient sensitivity and specificity. However, elastography will, maybe, present an additional feature to identify malignant lymph nodes in the context of clinical, radiological, and cytological results.

Keywords:
Medicine Elastography Lymph Ultrasound Radiology Endobronchial ultrasound Nuclear medicine Kappa Pathology Bronchoscopy

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16
Cited By
1.55
FWCI (Field Weighted Citation Impact)
13
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Lung Cancer Diagnosis and Treatment
Health Sciences →  Medicine →  Pulmonary and Respiratory Medicine
Head and Neck Cancer Studies
Health Sciences →  Medicine →  Otorhinolaryngology
Pleural and Pulmonary Diseases
Health Sciences →  Medicine →  Pulmonary and Respiratory Medicine

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