Assessment of thyroid lesions using fine-needle aspiration cytology in accordance with The Bethesda System and its histopathological correlation - A prospective study.
Himachal Mishra, Manika Alexander, B. Bommanahalli
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引用次数: 0
Abstract
Background: Fine Needle Aspiration Cytology is a first-line diagnostic technique that provides an accurate and precise diagnosis for assessing thyroid abnormalities. This study was conducted to analyze the cytology smears of thyroid lesions using The Bethesda system of reporting thyroid cytology and to correlate the cytological findings with histopathology diagnosis to determine the diagnostic accuracy of FNAC.
Materials and methods: A prospective cross-sectional study was carried out. FNAC of thyroid lesions of 203 patients were examined and reported as per the Bethesda system for reporting thyroid cytopathology. Of these, 33 patients underwent surgery, whose histopathological findings were compared and correlated with respective cytopathological diagnoses. The IBM SPSS (Statistical Package for the Social Sciences) software version 27 was used for data analysis.
Results: Among 203 cases evaluated, there were 11 Non-diagnostic (Category I) cases, 171 benign (Category II) cases, 4 cases of atypia of undetermined significance (Category III), 7 were suspicious for Follicular Neoplasm (Category IV), 2 were suspicious for malignancy (Category V) and 8 were malignant (Category VI). Out of 203 patients, only 33 patients underwent surgery, of whom 26 (78.79%) were benign and 7 (21.21%) were malignant on histopathology. The corresponding values for sensitivity, specificity, and diagnostic precision of FNAC were 71.42%, 100%, and 93.93% respectively, while positive and negative predictive values were determined as 100% and 92.85% respectively.
Conclusions: The study shows that thyroid tumors can be successfully categorized and reported cytologically as per The Bethesda system.
背景:细针穿刺细胞学是一种一线诊断技术,为评估甲状腺异常提供了准确和精确的诊断。本研究采用Bethesda甲状腺细胞学报告系统对甲状腺病变的细胞学涂片进行分析,并将细胞学结果与组织病理学诊断相关联,以确定FNAC的诊断准确性。材料与方法:采用前瞻性横断面研究。按照Bethesda甲状腺细胞病理学报告系统,对203例患者甲状腺病变的FNAC进行了检查和报告。其中,33例患者接受了手术,将其组织病理学结果与各自的细胞病理学诊断进行了比较和关联。使用IBM SPSS (Statistical Package for The Social Sciences)软件第27版进行数据分析。结果:203例患者中,非诊断性(ⅰ类)11例,良性(ⅱ类)171例,非典型性(ⅲ类)4例,可疑滤泡性肿瘤(ⅳ类)7例,可疑恶性(ⅴ类)2例,恶性(ⅵ类)8例。203例患者中,仅行手术治疗33例,其中良性26例(78.79%),病理组织学为恶性7例(21.21%)。FNAC的敏感性、特异性和诊断精度分别为71.42%、100%和93.93%,阳性预测值和阴性预测值分别为100%和92.85%。结论:本研究表明,根据Bethesda系统,甲状腺肿瘤可以成功分类和细胞学报告。