Utility of Ultrasound Elastography to Differentiate Benign from Malignant Cervical Lymph Nodes.
Acoustic radiation force impulse imaging
elastography
lymph nodes
ultrasound
Journal
Journal of medical ultrasound
ISSN: 0929-6441
Titre abrégé: J Med Ultrasound
Pays: India
ID NLM: 9423829
Informations de publication
Date de publication:
Historique:
received:
13
07
2019
revised:
26
07
2019
accepted:
12
08
2019
entrez:
3
9
2020
pubmed:
3
9
2020
medline:
3
9
2020
Statut:
epublish
Résumé
The purpose of this study was to evaluate the usefulness of strain elastography and acoustic radiation force impulse (ARFI) imaging in the differentiation of benign and malignant cervical lymph nodes (LNs). In this prospective study, 50 enlarged cervical LNs (33 benign and 17 malignant) were examined by B-mode ultrasound (US), color Doppler, and strain elastography. Elastographic patterns (1-5) were categorized based on distribution of hard area within LN. The shear wave velocity (SWV) of LNs was evaluated by ARFI imaging. Diagnostic performance of sonoelastographic parameters was compared taking histopathology of LN as a reference standard. Optimal cutoff value of the mean SWV values for predicting malignancy was determined using receiver operating characteristic curve analysis. Among US parameters, borders of LN had the highest diagnostic accuracy (80%), while echogenicity had the least (48%). Majority of benign LNs ( Elastography has high diagnostic accuracy in differentiating benign and malignant cervical LNs and can be potentially useful in selecting the LN with high probability of malignancy, on which fine-needle aspiration cytology/biopsy can be performed.
Sections du résumé
BACKGROUND
BACKGROUND
The purpose of this study was to evaluate the usefulness of strain elastography and acoustic radiation force impulse (ARFI) imaging in the differentiation of benign and malignant cervical lymph nodes (LNs).
MATERIALS AND METHODS
METHODS
In this prospective study, 50 enlarged cervical LNs (33 benign and 17 malignant) were examined by B-mode ultrasound (US), color Doppler, and strain elastography. Elastographic patterns (1-5) were categorized based on distribution of hard area within LN. The shear wave velocity (SWV) of LNs was evaluated by ARFI imaging. Diagnostic performance of sonoelastographic parameters was compared taking histopathology of LN as a reference standard. Optimal cutoff value of the mean SWV values for predicting malignancy was determined using receiver operating characteristic curve analysis.
RESULTS
RESULTS
Among US parameters, borders of LN had the highest diagnostic accuracy (80%), while echogenicity had the least (48%). Majority of benign LNs (
CONCLUSION
CONCLUSIONS
Elastography has high diagnostic accuracy in differentiating benign and malignant cervical LNs and can be potentially useful in selecting the LN with high probability of malignancy, on which fine-needle aspiration cytology/biopsy can be performed.
Identifiants
pubmed: 32874867
doi: 10.4103/JMU.JMU_72_19
pii: JMU-28-92
pmc: PMC7446693
doi:
Types de publication
Journal Article
Langues
eng
Pagination
92-98Informations de copyright
Copyright: © 2019 Journal of Medical Ultrasound.
Déclaration de conflit d'intérêts
There are no conflicts of interest.
Références
Asian Pac J Cancer Prev. 2012;13(5):2081-5
pubmed: 22901174
Ultrasound Med Biol. 2013 Jul;39(7):1178-83
pubmed: 23562011
J Ultrasound Med. 2016 Nov;35(11):2491-2499
pubmed: 27794132
South Asian J Cancer. 2016 Jul-Sep;5(3):104-5
pubmed: 27606291
Cancer Imaging. 2004 Jun 25;4(2):116-20
pubmed: 18250018
J Clin Endocrinol Metab. 2007 Sep;92(9):3590-4
pubmed: 17609301
AJR Am J Roentgenol. 1997 May;168(5):1311-6
pubmed: 9129432
Ultrasound Med Biol. 2010 Dec;36(12):1990-7
pubmed: 20950927
Radiology. 2005 Dec;237(3):981-5
pubmed: 16251396
Ultrasound Q. 2017 Sep;33(3):201-207
pubmed: 28549004
Breast. 2008 Jun;17(3):252-7
pubmed: 18054231
Invest Radiol. 2002 Jun;37(6):333-42
pubmed: 12021590
Thyroid. 2008 May;18(5):523-31
pubmed: 18466077
Eur Radiol. 2017 Jan;27(1):222-230
pubmed: 27147221
Med Ultrason. 2012 Dec;14(4):271-7
pubmed: 23243639
AJR Am J Roentgenol. 2005 May;184(5):1691-9
pubmed: 15855141
Acad Radiol. 2007 Feb;14(2):193-200
pubmed: 17236992
Eur J Radiol. 2012 Oct;81(10):2576-84
pubmed: 22138121
PLoS One. 2016 Nov 17;11(11):e0166716
pubmed: 27855188
Ultrasonography. 2015 Jul;34(3):157-64
pubmed: 25827473
J Clin Ultrasound. 2002 Jan;30(1):1-11
pubmed: 11807848
Dent Res J (Isfahan). 2016 May-Jun;13(3):217-24
pubmed: 27274341
Radiology. 2007 Apr;243(1):258-67
pubmed: 17293571
Mymensingh Med J. 2003 Jan;12(1):33-5
pubmed: 12715640
Eur Radiol. 2013 Sep;23(9):2351-7
pubmed: 23652848
World J Surg Oncol. 2011 Feb 28;9:29
pubmed: 21356049
Head Neck. 2011 Mar;33(3):297-302
pubmed: 20652889
Ultrasound Obstet Gynecol. 2006 Sep;28(3):335-40
pubmed: 16909438
Iran J Radiol. 2015 Jul 22;12(3):e11044
pubmed: 26528381
AJR Am J Roentgenol. 2008 Aug;191(2):604-10
pubmed: 18647939
AJR Am J Roentgenol. 2007 Mar;188(3):758-64
pubmed: 17312065
Cancer Imaging. 2008 Mar 25;8:48-56
pubmed: 18390388