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Evaluation of acoustic radiation force impulse imaging in differentiating benign and malignant cervical lymphadenopathy

Authors :
Kamat Rohan
Ananthakrishnan Ramesh
K Nagarajan
K M Abdulbasith
Sathasivam Sureshkumar
Chellappa Vijayakumar
K Balamourougan
B H Srinivas
Source :
Journal of Medical Ultrasound, Vol 30, Iss 2, Pp 87-93 (2022)
Publication Year :
2022
Publisher :
Wolters Kluwer Medknow Publications, 2022.

Abstract

Background: The aim of this study was to assess the diagnostic role of acoustic radiation force impulse imaging (ARFI) in differentiating benign and malignant cervical nodes. Methods: This was a diagnostic accuracy cross-sectional study. All patients who underwent ultrasound-guided fine-needle aspiration cytology (FNAC) of cervical nodes were included. Patients without FNAC/biopsy and patients in whom cervical nodes were cystic or completely necrotic were excluded. FNAC was used as reference investigation to predict the diagnostic accuracy. In all cases, FNAC was carried out after the B-mode, color Doppler and the ARFI imaging. In patients with multiple cervical lymph nodes, the most suspicious node based on grayscale findings was chosen for ARFI. ARFI included Virtual Touch imaging (VTI), area ratio (AR), and shear wave velocity (SWV) for each node, and the results were compared with FNAC/biopsy. Results: The final analysis included 166 patients. Dark VTI elastograms had sensitivity and specificity of 86.2% and 72.1%, respectively, in identifying malignant nodes. Sensitivity and specificity of AR were 71.3% and 82.3%, respectively, for a cutoff of 1.155. Median SWV of benign and malignant nodes was 1.9 [95% confidence interval (CI), 1.56–2.55] m/s and 6.7 (95% CI, 2.87–9.10) m/s, respectively. SWV >2.68 m/s helped in identifying malignant nodes with 81% specificity, 81.6% sensitivity, and 81.3% accuracy. ARFI was found to be inaccurate in tuberculous and lymphomatous nodes. Conclusion: Malignant nodes had significantly darker elastograms, higher AR and SWV compared to benign nodes, and SWV was the most accurate parameter. ARFI accurately identifies malignant nodes, hence could potentially avoid unwarranted biopsy.

Details

Language :
English
ISSN :
09296441 and 22121552
Volume :
30
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Medical Ultrasound
Publication Type :
Academic Journal
Accession number :
edsdoj.25fb67e980b4c5c9612f211aea7cfd6
Document Type :
article
Full Text :
https://doi.org/10.4103/JMU.JMU_10_21