Rohan Kamat, Ramesh Ananthakrishnan, Nagarajan K, Abdulbasith K M, Sureshkumar Sathasivam, Vijayakumar Chellappa, Balamourougan K, Srinivas B H
Department of Radio Diagnosis, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
Department of General Surgery, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
J Med Ultrasound. 2021 Jul 29;30(2):87-93. doi: 10.4103/JMU.JMU_10_21. eCollection 2022 Apr-Jun.
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.
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.
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.
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.
本研究旨在评估声辐射力脉冲成像(ARFI)在鉴别颈部淋巴结良恶性方面的诊断作用。
这是一项诊断准确性横断面研究。纳入所有接受颈部淋巴结超声引导下细针穿刺细胞学检查(FNAC)的患者。排除未进行FNAC/活检的患者以及颈部淋巴结为囊性或完全坏死的患者。以FNAC作为参考检查来预测诊断准确性。在所有病例中,在B超、彩色多普勒和ARFI成像后进行FNAC。对于有多个颈部淋巴结的患者,根据灰度表现选择最可疑的淋巴结进行ARFI检查。ARFI包括每个淋巴结的虚拟触诊成像(VTI)、面积比(AR)和剪切波速度(SWV),并将结果与FNAC/活检结果进行比较。
最终分析纳入166例患者。在识别恶性淋巴结方面,暗VTI弹性成像的敏感性和特异性分别为86.2%和72.1%。AR的敏感性和特异性分别为71.3%和82.3%,临界值为1.155。良性和恶性淋巴结的SWV中位数分别为1.