Departement of Anatomical Pathology, Dr. Wahidin Sudirohusodo Hospital, Makassar, Indonesia.
Department of Anatomical Pathology, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia.
Asian Pac J Cancer Prev. 2023 Jun 1;24(6):1917-1922. doi: 10.31557/APJCP.2023.24.6.1917.
To evaluate the diagnostic accuracy and malignancy risk of The Sydney System Reporting for Lymph Nodes Cytology.
This study utilized secondary data from 156 cases to conduct a retrospective analysis of a diagnostic test method. During 2019-2021, data were collected at Dr. Wahidin Sudirohusodo's Anatomical Pathology Laboratory in Makassar, Indonesia. The cytology slides of each case were split into five diagnostic groups using the Sydney method, which were then compared with the results of the histopathological diagnosis.
There were six cases in the L1 category, thirty-two cases in the L2 category, thirteen patients in the L3 category, seventeen cases in the L4 category, and ninety-one cases in the L5 class. The malignant probability (MP) is computed for each diagnostic classification. L1 MP value is 66.7%, L2 MP value is 15.6%, L3 MP value is 76.9%, L4 MP value is 94.0%, and L5 MP value is 98.9%. The diagnostic value of the FNAB examination is as follows: 89.9% sensitivity, 92.9% specificity, 98.2% positive predictive value, 68.4% negative predictive value, and 90.47% diagnostic accuracy.
The FNAB examination provides high sensitivity, specificity, and accuracy in diagnosing lymph node tumors. Using a classification based on the Sydney system promotes communication between laboratories and clinicians.
.
评估淋巴结细胞学的悉尼系统报告的诊断准确性和恶性风险。
本研究利用来自 156 例病例的二级数据，对诊断测试方法进行回顾性分析。2019 年至 2021 年期间，在印度尼西亚望加锡的 Wahidin Sudirohusodo 解剖病理学实验室收集了每个病例的细胞学载玻片。使用悉尼方法将每个病例的细胞学载玻片分为五个诊断组，然后将其与组织病理学诊断结果进行比较。
有六个病例为 L1 类，三十二个病例为 L2 类，十三个病例为 L3 类，十七个病例为 L4 类，九十一个病例为 L5 类。计算了每个诊断分类的恶性概率（MP）。L1 的 MP 值为 66.7%，L2 的 MP 值为 15.6%，L3 的 MP 值为 76.9%，L4 的 MP 值为 94.0%，L5 的 MP 值为 98.9%。FNAB 检查的诊断价值如下：89.9%的敏感性，92.9%的特异性，98.2%的阳性预测值，68.4%的阴性预测值和 90.47%的诊断准确性。
FNAB 检查在诊断淋巴结肿瘤方面具有较高的敏感性、特异性和准确性。使用基于悉尼系统的分类有助于实验室和临床医生之间的沟通。
