Background: The preoperative differentiation of benign form malignant cervical lymphadenopathy (CLA) is crucial in determining the need for surgical intervention. This study aims to assess the diagnostic performance of ultrasonography (US), fine-needle aspiration cytology (FNAC), and their combination with the postoperative histopathological diagnoses of CLA.
Method: In a retrospective study between April 2021 and May 2023, 214 patients with CLA were assessed with preoperative US and FNAC. The morphological parameters, including tissue margins, vascularity, and fatty hilum echogenicity, were collected and analyzed retrospectively. The diagnostic efficacies of US, FNAC, and their combined use were compared to the postoperative histopathological findings.
Result: In the final histopathological examination, 185 cases (86.4%) were found to be benign, while 29 cases (13.6%) were determined to be malignant. The US features of fatty hilum, echogenicity, and vascularity pattern had the highest diagnostic accuracy in characterizing CLA patterns, with values of 88.3%, 85.5%, and 85.0%, respectively. The receiver operating characteristic (ROC) curve showed a significantly higher area under the curve (AUC) value of 0.883 (95% CI: 0.832-0.923; <0.0001) for the combined use of all US parameters with better sensitivity (93.10%) and specificity (68.65%) than individual parameters. The overall sensitivity, specificity, and accuracy of FNAC were 97.3%, 82.8%, and 95.3%, respectively. Additionally, US parameters and FNAC together showed a significantly higher AUC value of 0.924 (95% CI: 0.880-0.956; <0.0001) and achieved a sensitivity of 86.21% and specificity of 88.65%.
Conclusions: The combined use of US and FNAC provides high sensitivity, specificity, and diagnostic accuracy in characterizing CLA patterns. In limited-resources settings, this approach is feasible, less invasive, and cost-effective, thereby enabling clear management strategies and avoiding additional surgical interventions.
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| http://dx.doi.org/10.1097/MS9.0000000000002040 | DOI Listing |
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