Department of Pathology, All India Institute of Medical Sciences, Mangalagiri, 522503, Andhra Pradesh, India.
Department of Pathology, Seth GSMC & KEMH, Parel, Mumbai, Maharashtra, 400012, India.
BMC Cancer. 2020 Jul 13;20(1):648. doi: 10.1186/s12885-020-07129-0.
Fibroepithelial lesions of the breast include fibroadenoma (FA) and phyllodes tumor (PT). Fibroadenomas are benign while phyllodes tumor range from benign, indolent neoplasms to malignant tumors capable of distant metastasis. Our study was to determine the select cytologic features that can accurately distinguish FA from PT.
A retrospective review was performed of patients who had histopathology follow up of FA or PT and on whom a pre-operative fine needle aspiration was performed. Cytologic criteria i.e. epithelial component, stromal component and background cellularity were assessed.
46 FA and 24 PT were specimens were reviewed. Median age and tumor size for FA and PT were 23.0 and 39.0 years, and 2.0 and 5.0 cm, respectively. Univariate analysis and regression models based on generalized estimating equations revealed that large opened out, folded epithelial sheets, frayed and irregular stromal fragment contours, spindle stromal cell nuclei, spindle cell nuclei in the background and background cell atypia are significant cytological predictors of PT. The GEE regression model achieved 78.9% diagnostic accuracy (p < 0.001) in identifying PT based on cytological features. Median epithelial: stromal ratio was 3.4 and 2.6 for FA and PT, respectively.
Presence of large, opened out, folded epithelial sheets, frayed and irregular stromal contours with spindle nuclei, background spindle cells and atypia can help distinguish PT from FA.
乳腺纤维上皮性病变包括纤维腺瘤(FA)和叶状肿瘤(PT)。纤维腺瘤为良性,而叶状肿瘤的良恶性程度差异较大,从良性、惰性肿瘤到有远处转移能力的恶性肿瘤。本研究旨在确定能够准确区分 FA 和 PT 的特定细胞学特征。
对行术前细针穿刺活检且有组织病理学随访的 FA 或 PT 患者进行回顾性研究。评估细胞学标准,即上皮成分、间质成分和背景细胞密度。
共回顾 46 例 FA 和 24 例 PT 标本。FA 和 PT 的中位年龄和肿瘤大小分别为 23.0 岁和 39.0 岁、2.0 厘米和 5.0 厘米。单因素分析和基于广义估计方程的回归模型显示,大的展开、折叠的上皮片、锯齿状和不规则的间质碎片轮廓、梭形间质细胞核、背景中的梭形细胞核和背景细胞异型性是 PT 的重要细胞学预测因子。GEE 回归模型基于细胞学特征对 PT 的诊断准确率达到 78.9%(p<0.001)。FA 和 PT 的上皮:间质比中位数分别为 3.4 和 2.6。
存在大的、展开、折叠的上皮片、锯齿状和不规则的间质轮廓伴梭形细胞核、背景中的梭形细胞和异型性有助于将 PT 与 FA 区分开来。