Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes

Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes Publisher

Chavoshi M¹ ; Taghavi M¹ ; Hashemi H² ; Davoodi M¹ ; Rouzrokh P³ ; Aghaghazvini L¹

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1. Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
2. Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
3. Evidence based medicine research center, Endocrinology and Metabolism Clinical Science Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: JCI Insight Published:2023

Abstract

Background: This study aims to evaluate the role of Shear Wave Elastography (SWE) in the differentiation of malignant from benign cervical lymph nodes and compare its accuracy with conventional ultrasound. Methods: Seventy-one lymph nodes (malignant=52, benign=19) were investigated by both conventional sonography and SWE. Shear Wave Velocity (SWV) and color map were obtained for each lymph node before tissue sampling. R statistical software (x64, v3.6.1) was used for statistical analysis. Results: Among all the conventional and elastography features, color map grading and shear wave velocity (SWV) had the most correlation with malignancy, even in normal-sized nodes. SWV was significantly correlated with the pathology (rpb=0.62, p<0.00). The best cutoff-value for SWV was 2.71 m/s (sensitivity: 82.7%, specificity:84.2%, AUC=0.92). The best predicting model by multivariate analysis was obtained by a combination of SWV and color map grading (sensitivity=92.3%, specificity=94.7%). Conclusion: SWE is a valuable method for the differentiation of malignant from benign lymph nodes. It would help to find the proper lymph node for biopsy. Copyright 2023, Journal of Iranian Medical Council. All rights reserved.

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Masoumeh Gity (1)

Style	Citing Format
MLA	Chavoshi M, et al.. "Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes." JCI Insight, vol. 6, no. 4, 2023, pp. 664-673.
APA	Chavoshi M, Taghavi M, Hashemi H, Davoodi M, Rouzrokh P, Aghaghazvini L (2023). Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes. JCI Insight, 6(4), 664-673.
Chicago	Chavoshi M, Taghavi M, Hashemi H, Davoodi M, Rouzrokh P, Aghaghazvini L. "Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes." JCI Insight 6, no. 4 (2023): 664-673.
Harvard	Chavoshi M et al. (2023) 'Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes', JCI Insight, 6(4), pp. 664-673.
Vancouver	Chavoshi M, Taghavi M, Hashemi H, Davoodi M, Rouzrokh P, Aghaghazvini L. Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes. JCI Insight. 2023;6(4):664-673.
BibTex	@article{ author = {Chavoshi M and Taghavi M and Hashemi H and Davoodi M and Rouzrokh P and Aghaghazvini L}, title = {Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes}, journal = {JCI Insight}, volume = {6}, number = {4}, pages = {664-673}, year = {2023} }
RIS	TY - JOUR AU - Chavoshi M AU - Taghavi M AU - Hashemi H AU - Davoodi M AU - Rouzrokh P AU - Aghaghazvini L TI - Diagnostic Value of Shear Wave Elastography in Differentiation Between Benign From Malignant Cervical Lymph Nodes JO - JCI Insight VL - 6 IS - 4 SP - 664 EP - 673 PY - 2023 ER -

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