Shabb Nina S, Boulos Fouad I, Abdul-Karim Fadi W
Department of Pathology, American University of Beirut Medical Center, Beirut, Lebanon.
Acta Cytol. 2013;57(4):316-31. doi: 10.1159/000351159. Epub 2013 Jul 12.
To review our experience and the literature on inconclusive/erroneous fine-needle aspirates (FNAs) of breast with the focus on the 'true gray zone'. To describe the cytology, differential diagnosis, pitfalls and limitations of common and rare lesions.
We conducted a literature search focusing on breast FNAs with statistical data of C3 and C4 categories including false-positive and false-negative cases. Similar data from 2003 to 2009 was obtained from our institution.
C3 and C4 categories account for 3-17% of breast FNAs. Contributing factors are technical difficulties, inexperienced pathologists interpreting FNAs of breast and overlap of cytologic features of certain benign and malignant conditions; this last, 'true gray zone' accounts for 2% of cases. Fibroadenoma, proliferative breast lesions, gynecomastia, infiltrating and in situ low-grade adenocarcinomas and tubular, cribriform, lobular and mucinous carcinomas are the most common problematic lesions. Granular cell tumor, adenomyoepithelioma, pregnancy-related lesions, fat necrosis, inflammatory and radiation changes, adenoid cystic carcinoma, spindle-cell lesions and Phyllodes tumor are less common.
Inconclusive/erroneous FNAs of breast due to the 'true gray zone' are rare. Most are due to the overlapping cytologic features of some benign and malignant conditions. Practical features that may help arrive at the correct diagnoses are elucidated.
回顾我们在乳腺细针穿刺抽吸活检(FNA)结果不确定/错误方面的经验及相关文献,重点关注“真正的灰色地带”。描述常见和罕见病变的细胞学、鉴别诊断、陷阱及局限性。
我们进行了一项文献检索,重点关注乳腺FNA,包括C3和C4类别的统计数据,其中涵盖假阳性和假阴性病例。从我们机构获取了2003年至2009年的类似数据。
C3和C4类别占乳腺FNA的3 - 17%。促成因素包括技术困难、解读乳腺FNA的病理医生经验不足以及某些良性和恶性疾病细胞学特征的重叠;最后这一点,即“真正的灰色地带”占病例的2%。纤维腺瘤、乳腺增生性病变、男性乳房发育症、浸润性和原位低级别腺癌以及管状、筛状、小叶状和黏液性癌是最常见的有问题病变。颗粒细胞瘤、腺肌上皮瘤、妊娠相关病变、脂肪坏死、炎症和放射改变、腺样囊性癌、梭形细胞病变和叶状肿瘤则较为少见。
由于“真正的灰色地带”导致的乳腺FNA结果不确定/错误情况罕见。大多数是由于一些良性和恶性疾病细胞学特征的重叠。阐明了可能有助于做出正确诊断的实际特征。