Phalak Pooja A, Shah Majal G, Kapoor Shilpa, Goswami Saurabh J, Samanta Satarupa T, Trivedi Priti P
Division of Cytopathology, Department of Oncopathology, Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, India.
J Cytol. 2024 Apr-Jun;41(2):105-109. doi: 10.4103/joc.joc_172_23. Epub 2024 Apr 24.
Atypical glandular cells (AGCs) diagnosis on Pap (Papanicolaou) smears are uncommon and may represent various benign and malignant lesions.
This study aims to report the incidence of AGC on Pap smear, to study the relationship of AGC with malignancy, and to determine cytomorphological features that help in predicting malignancy.
Retrospective analytical study conducted in the Department of Oncopathology at Tertiary Cancer and Research Institute. In this retrospective study, we included cases diagnosed with AGC between July 2017 to July 2022. All slides were reviewed and subclassified according to the Bethesda 2014 classification system (TBS). The predetermined cytomorphological features observed in the smears were recorded. The follow-up histopathological diagnoses of the cases were retrieved. The significant cytomorphological and clinicopathological findings for malignancy were determined.
Pearson χ test with SPSS software version 22 to compare cytologic features of cases with benign and malignant follow-up. The significant cytomorphological features observed in neoplastic cases were cells in 3-dimensional clusters, nuclear overlapping, reniform nucleus, irregular nuclear membrane, increased nuclear size, single macronucleoli, engulfed neutrophils, and prominently vacuolated cytoplasm.
The diagnosis of AGC on cytology is associated with clinically significant lesions, and cytomorphologic parameters can be used to predict the benign and malignant outcome.
巴氏涂片检查中不典型腺细胞（AGC）的诊断并不常见，可能代表各种良性和恶性病变。
本研究旨在报告巴氏涂片检查中AGC的发生率，研究AGC与恶性肿瘤的关系，并确定有助于预测恶性肿瘤的细胞形态学特征。
在三级癌症与研究所肿瘤病理学系进行回顾性分析研究。在这项回顾性研究中，我们纳入了2017年7月至2022年7月期间诊断为AGC的病例。根据2014年贝塞斯达分类系统（TBS）对所有玻片进行复查并分类。记录涂片中观察到的预定细胞形态学特征。检索病例的后续组织病理学诊断。确定恶性肿瘤的重要细胞形态学和临床病理结果。
使用SPSS 22版软件进行Pearson χ检验，比较良性和恶性随访病例的细胞学特征。在肿瘤病例中观察到的重要细胞形态学特征为三维细胞簇、核重叠、肾形核、不规则核膜、核大小增加、单个大核仁、吞噬中性粒细胞和显著空泡化的细胞质。
细胞学上AGC的诊断与具有临床意义的病变相关，细胞形态学参数可用于预测良性和恶性结果。
