Abilash Sasidharannair Chandrakumari, Devi Singaravelu Shree Lakshmi, Pammy Sinha
Department of Pathology, Windsor University School of Medicine, Cayon, St. Kitts, West Indies.
Department of Pharmacology, Windsor University School of Medicine, Cayon, St. Kitts, West Indies.
Ann Afr Med. 2024 Oct 1;23(4):623-627. doi: 10.4103/aam.aam_67_24. Epub 2024 Aug 13.
Fine-needle aspiration cytology (FNAC) is widely utilized for thyroid lesion diagnosis but faces challenges such as sample inadequacy and overlapping cytological features. This study examines how accurately these patterns correlate with histopathological diagnoses, shedding light on FNAC's limitations and diagnostic potential.
To study the application of the architectural pattern of follicular cells in the interpretation of thyroid lesions and to demonstrate the diagnostic accuracy (DA) of FNAC.
Cross-sectional study carried over 1 year.
A total of 110 cases were reviewed by the cytopathologists. The prominent follicular cell architecture, namely macrofollicular, microfollicular, papillary, trabecular, three-dimensional clusters, and dispersed cells, was described in each case. In addition to these patterns, cellular morphology and background features were also noted, and a final cytological diagnosis was established. The cytology diagnosis was correlated with the histopathological diagnosis.
Sensitivity, specificity, positive predictive value, negative predictive value, DA of FNAC in diagnosing nonneoplastic and neoplastic lesions.
Macrofollicular pattern was seen in 80.26% of colloid goiter cases. Microfollicular pattern was observed in 72.2% of follicular neoplasm. About 62.5% of papillary thyroid carcinomas showed a papillary pattern. The trabecular pattern was seen in 42.86% of chronic lymphocytic thyroiditis and 16.67% of follicular neoplasms. The sensitivity and specificity of FNAC in diagnosing neoplastic lesions was 92.59% and 97.59%, respectively.
FNAC is a simple, rapid, definite, and cost-effective primary diagnostic tool for thyroid evaluation. Cell architecture pattern is a simple and appropriate approach that complements cell morphology and background details in arriving at the final cytological diagnosis of thyroid lesions.
细针穿刺细胞学检查（FNAC）被广泛用于甲状腺病变的诊断，但面临样本不足和细胞学特征重叠等挑战。本研究探讨这些模式与组织病理学诊断的准确相关性，以阐明FNAC的局限性和诊断潜力。
研究滤泡细胞的结构模式在甲状腺病变解读中的应用，并证明FNAC的诊断准确性（DA）。
为期1年的横断面研究。
细胞病理学家共回顾了110例病例。描述了每例中突出的滤泡细胞结构，即大滤泡、微滤泡、乳头状、小梁状、三维细胞团和散在细胞。除这些模式外，还记录了细胞形态和背景特征，并确立了最终的细胞学诊断。将细胞学诊断与组织病理学诊断进行相关性分析。
FNAC在诊断非肿瘤性和肿瘤性病变中的敏感性、特异性、阳性预测值、阴性预测值、诊断准确性。
80.26%的胶样甲状腺肿病例可见大滤泡模式。72.2%的滤泡性肿瘤观察到微滤泡模式。约62.5%的乳头状甲状腺癌表现为乳头状模式。小梁状模式见于42.86%的慢性淋巴细胞性甲状腺炎和16.67%的滤泡性肿瘤。FNAC诊断肿瘤性病变的敏感性和特异性分别为92.59%和97.59%。
FNAC是一种用于甲状腺评估的简单、快速、明确且经济有效的初步诊断工具。细胞结构模式是一种简单且合适的方法，可在达成甲状腺病变最终细胞学诊断时补充细胞形态和背景细节。
