Robinson I A, McKee G, Kissin M W
Department of Cytopathology, Royal-Surrey County Hospital, Guildford, United Kingdom.
Diagn Cytopathol. 1995 Oct;13(3):260-5. doi: 10.1002/dc.2840130315.
The ability of fine-needle aspiration (FNA) to diagnose breast cancer is beyond question. The established role of cytopathology is to maintain a low benign to malignant biopsy ratio by reducing the number of benign lesions excised. Both typing and grading of breast cancers on FNA have received attention in the cytology literature but how this knowledge can influence management has not been fully explored. Recently we described a method for the cytological grading of breast cancer that compares well with the established Bloom and Richardson grades. In this paper we present our experience of 1,387 breast cancer FNAs reported by us with histological verification. We show that cytologically typing and grading breast cancers are valid exercises that can predict the true nature of the neoplasm. This information may assist in the clinical approach to the malignant breast.
细针穿刺抽吸术（FNA）诊断乳腺癌的能力毋庸置疑。细胞病理学的既定作用是通过减少切除的良性病变数量来维持较低的良性与恶性活检比例。FNA对乳腺癌的分型和分级在细胞学文献中均受到了关注，但这种知识如何影响治疗管理尚未得到充分探索。最近，我们描述了一种乳腺癌细胞学分级方法，该方法与既定的布鲁姆和理查森分级法具有良好的可比性。在本文中，我们介绍了我们报告的1387例经组织学验证的乳腺癌FNA的经验。我们表明，对乳腺癌进行细胞学分型和分级是有效的做法，可以预测肿瘤的真实性质。这些信息可能有助于对恶性乳腺疾病的临床处理。
