Udoh Agnes I, Clement Cecilia G
Department of Pathology, The University of Texas Medical Branch, Galveston, Texas, USA.
Diagn Cytopathol. 2025 Sep;53(9):427-436. doi: 10.1002/dc.25490. Epub 2025 Jun 3.
The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC) developed and published in 2018 recommends grading salivary gland neoplasms into high-grade (HG) or low-grade (LG), given its impact on clinical management. Although this cytologic grading can be done, in certain cases it can be challenging. Herein we assess the accuracy of cytologic grading of salivary gland neoplasms at our institution.
A retrospective review of medical records identified 365 patients who underwent salivary gland FNA between 2017 and 2022. Cases categorized as malignant, suspicious for malignancy, and salivary gland neoplasms of uncertain malignant potential (SUMP) by the Milan system and with available follow-up histology were selected. FNA cases were reviewed and blindly assigned a cytologic grade. No ancillary testing or cell blocks associated with study cases were examined. The cytologic grade was correlated with the final surgical diagnosis and grade. The diagnostic performance of cytologic tumor grading was determined using histologic grading as the gold standard. One case with intermediate (INT) histologic grade was excluded from this analysis.
Out of 40 cases included in the study, 70% (n = 28) were SUMPs, 5% (n = 2) were suspicious of malignancy, and 25% (n = 10) were malignant. Among the 39 cases analyzed (12 histologic HG, 27 histologic LG), cytologic grading correctly identified 7 of the 12 HG cases, yielding a sensitivity of 58.3% (95% CI: 30.4%-82.5%). Twenty-six of 27 LG cases were accurately categorized as LG on cytology, resulting in a specificity of 96.3% (95% CI: 81.7%-99.8%). The positive predictive value for cytologically diagnosed HG cases was 87.5% (7 of 8; 95% CI: 52.9%-97.8%), and the negative predictive value (LG accuracy) was 83.9%. Overall, cytologic grading demonstrated an accuracy of 84.6% (33 of 39; 95% CI: 69.5%-93.0%). The most common diagnosis among the LG cases accurately graded was acinic cell carcinoma. HG-mucoepidermoid carcinoma (MEC) was the most common diagnosis among HG cases accurately graded. There were seven cases (17.5%) with cytology-histology discordances, four of which involved SUMP tumors that were HG malignancies by histology. Three of the discrepancies involved a histologic diagnosis of adenoid cystic carcinoma.
The study showed an overall high accuracy for cytologic grading of salivary gland neoplasms. Discordance in cytologic grading was more frequent in the SUMP category and involved a histologic diagnosis of HG adenoid cystic carcinoma. Communication with the clinical team should be in place, especially when grading cannot be provided with confidence, and in that situation, suggesting intraoperative consultation for management decisions seems appropriate.
2018年制定并发布的米兰唾液腺细胞病理学报告系统(MSRSGC)建议根据唾液腺肿瘤对临床管理的影响将其分为高级别(HG)或低级别(LG)。虽然可以进行这种细胞学分级,但在某些情况下可能具有挑战性。在此,我们评估了本机构唾液腺肿瘤细胞学分级的准确性。
对病历进行回顾性分析,确定了2017年至2022年间接受唾液腺细针穿刺抽吸活检(FNA)的365例患者。选择根据米兰系统分类为恶性、疑似恶性以及恶性潜能不确定的唾液腺肿瘤(SUMP)且有可用的随访组织学结果的病例。对FNA病例进行复查并盲目分配细胞学分级。未检查与研究病例相关的辅助检测或细胞块。将细胞学分级与最终手术诊断及分级进行关联。以组织学分级作为金标准确定细胞学肿瘤分级的诊断性能。本分析排除了1例组织学分级为中级(INT) 的病例。
在纳入研究的40例病例中,70%(n = 28)为SUMP,5%(n = 2)疑似恶性,25%(n = 10)为恶性。在分析的39例病例中(12例组织学HG,27例组织学LG),细胞学分级正确识别出12例HG病例中的7例,敏感性为58.3%(95%CI:30.4% - 82.5%)。27例LG病例中有26例在细胞学上准确分类为LG,特异性为96.3%(95%CI:81.7% - 99.8%)。细胞学诊断为HG病例的阳性预测值为87.5%(8例中的7例;95%CI:52.9% - 97.8%),阴性预测值(LG准确性)为83.9%。总体而言,细胞学分级的准确性为84.6%(39例中的33例;95%CI:69.5% - 93.0%)。准确分级的LG病例中最常见的诊断是腺泡细胞癌。准确分级的HG病例中最常见的诊断是HG黏液表皮样癌(MEC)。有7例(17.5%)存在细胞学 - 组织学不一致,其中4例涉及组织学为HG恶性肿瘤的SUMP肿瘤。3例差异涉及腺样囊性癌的组织学诊断。
该研究表明唾液腺肿瘤细胞学分级总体准确性较高。SUMP类别中细胞学分级不一致更为常见,且涉及HG腺样囊性癌的组织学诊断。应与临床团队进行沟通,特别是在无法自信地提供分级的情况下,在这种情况下,建议进行术中会诊以做出管理决策似乎是合适的。