■良性恶性颈淋巴结病(CLA)的术前分化对于确定是否需要手术干预至关重要。本研究旨在评估超声(US)的诊断性能,细针穿刺细胞学(FNAC),以及它们与CLA术后组织病理学诊断的结合。
■在2021年4月至2023年5月的一项回顾性研究中,对214例CLA患者进行了术前US和FNAC评估。形态学参数,包括组织边缘,血管,和脂肪肺门回声,进行回顾性收集和分析。美国的诊断效力,FNAC,并将其联合使用与术后组织病理学结果进行比较。
■在最后的组织病理学检查中,185例(86.4%)为良性,29例(13.6%)被确定为恶性。美国的特点,脂肪的门,回声,血管分布模式在表征CLA模式方面具有最高的诊断准确性,值为88.3%,85.5%,85.0%,分别。受试者工作特征(ROC)曲线显示,联合使用所有US参数的曲线下面积(AUC)值为0.883(95%CI:0.832-0.923;P<0.0001),与单个参数相比,具有更好的灵敏度(93.10%)和特异性(68.65%)。整体灵敏度,特异性,FNAC的准确率为97.3%,82.8%,和95.3%,分别。此外,US参数和FNAC一起显示出明显更高的AUC值0.924(95%CI:0.880-0.956;P<0.0001),并实现了86.21%的灵敏度和88.65%的特异性。
■US和FNAC的结合使用提供了高灵敏度,特异性,以及表征CLA模式的诊断准确性。在有限资源设置中,这种方法是可行的,侵入性较小,并且具有成本效益,从而使明确的管理策略和避免额外的手术干预。
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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; P<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; P<0.0001) and achieved a sensitivity of 86.21% and specificity of 88.65%.
UNASSIGNED: 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.