Hasan Zoya, Singh Meeta, Singh Jyoti, Chellani Gautam, Nisam Irfana, Rakheja Garima, Jain Shyama, Khurana Nita, Mandal Shramana, Rathi Arun K, Mala Yedla M, Batra Radhika
Department of Pathology, Maulana Azad Medical College, New Delhi, India.
Department of Radiotherapy, Maulana Azad Medical College, New Delhi, India.
J Cytol. 2024 Oct-Dec;41(4):229-235. doi: 10.4103/joc.joc_196_23. Epub 2024 Nov 8.
Borderline ovarian tumors (BOTs) comprise 15%-20% of all ovarian epithelial malignancies. The majority of them are serous tumors followed by mucinous tumors. Pre-operative cytological diagnosis plays an important role with histopathology being the gold standard. The present study aimed to assess the sensitivity, specificity, and diagnostic accuracy of cytology in the diagnosis of epithelial ovarian tumors with special emphasis on the cytologically borderline category.
The present study was conducted in our institute over five years from January 2017 to December 2022. This was a retrospective study and included 92 patients with ovarian masses who were subjected to ultrasound-guided fine needle aspiration (FNA) as a preliminary diagnostic procedure. Cytology smears were examined and categorized as benign, borderline, and malignant. The sensitivity, specificity, and diagnostic accuracy were assessed considering histopathology as the gold standard.
In the present study, 92 ovarian FNA cytology were performed. Aspirates were adequate in all but 10 cases. Out of 82 cases, 75 were epithelial tumors. Twelve cases of BOTs were compiled and cytological findings were assessed.
To conclude, diagnosis of BOTs on cytology is difficult, however, aspiration from multiple sites from the lesion, critical cytomorphological assessment, and cell-block preparation with immunocytochemistry/immunohistochemistry can overcome the pitfalls.
卵巢交界性肿瘤(BOTs)占所有卵巢上皮性恶性肿瘤的15%-20%。其中大多数为浆液性肿瘤,其次是黏液性肿瘤。术前细胞学诊断起着重要作用,组织病理学是金标准。本研究旨在评估细胞学在诊断上皮性卵巢肿瘤中的敏感性、特异性和诊断准确性,特别强调细胞学上的交界性类别。
本研究在我院于2017年1月至2022年12月的五年间进行。这是一项回顾性研究,纳入了92例卵巢肿块患者,这些患者接受了超声引导下细针穿刺抽吸(FNA)作为初步诊断程序。对细胞学涂片进行检查并分类为良性、交界性和恶性。以组织病理学为金标准评估敏感性、特异性和诊断准确性。
在本研究中,共进行了92例卵巢FNA细胞学检查。除10例病例外,其余抽吸物均足够。在82例病例中,75例为上皮性肿瘤。整理了12例BOTs病例并评估了细胞学检查结果。
总之,通过细胞学诊断BOTs很困难,然而,从病变的多个部位进行抽吸、严格的细胞形态学评估以及细胞块制备并结合免疫细胞化学/免疫组织化学可以克服这些缺陷。