FNAC as preoperative diagnostic tool for neoplastic and non-neoplastic breast lesions with special reference to IAC standardised reporting in Coastal population - A teaching hospital experience

Supriya P Savant, Vinay Naik, Jyothi B. Lingegowda
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Abstract

Breast cancer is steadily increasing worldwide. This study is based on application of recently proposed International Academy of cytology (IAC) Yokohama categorisation system of Breast cytology from C1 to C5. (C1-Insufficient material, C2-Benign, C3- Atypical, C4-Suspicious & C5-Malignant). We aim to categorize the breast lesions based on the above-mentioned categorization scheme (IAC, Yokohama 2016) along with histopathological correlation (wherever possible). This was a retrospective observational study conducted from January 2018 to December 2021 in the Department of Pathology of a tertiary care hospital involving coastal population. Ethical clearance was taken from institutional reviw committee. All patients with palpable breast lumps who had undergone FNAC were included in the study. Patient details and data were collected from the case records maintained in Department of Pathology. All quantitative parameters were described through descriptive statistics. Total scores were computed for all the risk factors. Sensitivity, specificity, Positive Predictive Value, Negative Predictive Value calculated. Risk of malignancy(ROM) was calculated for each category. A total 200 patients, with age group ranging from 17 - 67 years with breast lesions were included in the study. C1 lesions were found in 5 cases, C2 in 152 cases, C3 in 11 cases, C4 in 4 cases, and C5 in 28 cases. Cytohistological correlation obtained in 94 cases with concordance noted in 89 cases and discordance in 5 cases. Breast FNAC cytology categorization according to IAC Yokohama system increases accuracy of diagnosis and helps clinician in appropriate patient management.
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将 FNAC 作为肿瘤性和非肿瘤性乳腺病变的术前诊断工具,并特别参考沿海人口中的 IAC 标准化报告 - 一家教学医院的经验
乳腺癌在全球范围内呈稳步上升趋势。本研究采用了国际细胞学学会(IAC)最近提出的横滨乳腺细胞学分类系统,即从 C1 到 C5(C1-材料不足,C2-良性,C3-不典型,C4-可疑,C5-恶性)。(C1-材料不足,C2-良性,C3-非典型,C4-可疑,C5-恶性)。我们的目的是根据上述分类方案(IAC,横滨,2016 年)以及组织病理学相关性(尽可能)对乳腺病变进行分类。这是一项回顾性观察研究,于 2018 年 1 月至 2021 年 12 月在一家三甲医院病理科进行,涉及沿海人口。机构审查委员会已通过伦理审查。所有接受过 FNAC 检查的可触及乳腺肿块患者均被纳入研究范围。患者的详细资料和数据均来自病理科的病例记录。所有定量参数均通过描述性统计进行描述。计算所有风险因素的总分。计算敏感性、特异性、阳性预测值和阴性预测值。计算每个类别的恶性肿瘤风险(ROM)。本研究共纳入了 200 名乳腺病变患者,他们的年龄在 17 - 67 岁之间。发现 C1 病变的有 5 例,C2 病变的有 152 例,C3 病变的有 11 例,C4 病变的有 4 例,C5 病变的有 28 例。94个病例获得了细胞组织学相关性,其中89个病例结果一致,5个病例结果不一致。根据 IAC 横滨系统进行乳腺 FNAC 细胞学分类可提高诊断的准确性,有助于临床医生对患者进行适当的管理。
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