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[乳腺导管病变的细针穿刺细胞学诊断]

[Fine needle aspiration cytology diagnosis of ductal lesions of breast].

作者信息

Di Fang, Wong Nim-la

机构信息

Department of Pathology, Kiang Wu Hospital, Macau SAR, China.

出版信息

Zhonghua Bing Li Xue Za Zhi. 2010 Jul;39(7):467-72.

Abstract

OBJECTIVE

To find out the most effective and combined cytomorphologic criteria trying to set up an effective diagnostic model for breast ductal lesion in fine needle aspiration cytology (FNAC).

METHODS

A total of 400 breast FNAC cases were collected with follow-up information of more than six years. A retrospective analysis including 104 non-proliferative breast diseases, 163 proliferative breast diseases and 133 carcinomas basing on the diagnostic results of surgical biopsies. Altogether, 60 cytomorphologic variables were counted for the evaluation of each case, including 4 main categories: the cellularity and components, natures of background, cellular arrangements and the cellular features. According to the quantity or the classification stage, the variables were semi-quantitatively scored. Multiple step-wise logistic regression (SPSS) and classification tree model (SAS) were performed to determine the significant and combined variables predictive for the diagnosis of non-proliferative lesion, proliferative breast diseases and carcinoma, respectively.

RESULTS

(1) Among 400 benign and malignant cases studied, and basing on the result of analyses of multiple step-wise logistic regression system, intermingling of myoepithelial cells within the epithelial cluster (P < 0.05), presence of large epithelial cell cluster (P < 0.05), presence of small epithelial cell cluster (P < 0.05), cytoplasmic vacuoles (P < 0.05) and figures of "progressive intussusception" of cells (P < 0.1) were selected as the effectively differential diagnostic criteria for the benign and malignant lesions. However, according to the classification tree model, the most useful variable selected associating with the benign lesion was intermingling of myoepithelial cells within epithelial cluster. The diagnostic accuracy will be increased to 94.4%, if another criterion, presence of a big amount of large epithelial clusters, was used as the second useful variable in combination. Presence of a moderate to large amount of small epithelial cell clusters were indicative of proliferative lesion. If the criterion of myoepithelial cells intermingling within epithelial cluster was not found in the sample and associating with presence of small epithelial cell clusters, cytoplasmic vacuoles and figures of "progressive intussusception" of cells, mostly (81.3%), it would be considered as a case of carcinoma. (2) Among 267 benign non-proliferative and proliferative breast diseases studied, both the multiple step-wise logistic regression and classification tree model, presence of irregular intercellular spaces within the epithelial clusters (P = 0.001), loose epithelial clusters (P < 0.05) and hyperchromasia (P < 0.1) were selected as the significant differential diagnostic criteria for the proliferative lesion. The architectural variables and the amount of the abnormal cell features such as cell cluster formation were considered to be more important. A high frequency of presence of irregular intercellular spaces within the epithelial clusters and the amount of loose epithelial clusters indicated a higher possibility of a proliferative lesion. Presence of a single variable of irregular intercellular spaces within the epithelial clusters had the possibility of a benign lesion diagnosis up to 70.1% in all the proliferative breast disease cases collected in this series. If the frequency of irregular intercellular spaces increased to a moderate degree or even higher, the possibility of a benign lesion would be increased to 82.7%. The possibility of a proliferative breast disease would be reached to 87.5%, if both the criteria of irregular intercellular spaces and loosely arranged epithelial cell clusters were counted in combination. (3) The histological results of 35 lesions with atypical cytological features in FNAC specimens were predominantly a proliferative lesion of the breast (26 cases), and most of them were fibroadenoma with ductal hyperplasia. Occasionally, there might be a few benign cases complicating with lesions of atypical hyperplasia or carcinoma.

CONCLUSIONS

In breast FNAC diagnosis, a combined evaluation of significant variables and the amount of the variable involved are effective for the differential diagnosis between benign/malignant and non-proliferative/proliferative lesions. Lesion accompanying with atypical cellular features should avoid to be overdiagnosed as carcinoma, and biopsy for a histological diagnosis is indicative.

摘要

目的

探寻最有效且综合的细胞形态学标准,尝试建立细针穿刺细胞学检查(FNAC)中乳腺导管病变的有效诊断模型。

方法

收集400例乳腺FNAC病例,并获取其六年多的随访信息。基于手术活检的诊断结果,对104例非增殖性乳腺疾病、163例增殖性乳腺疾病和133例癌进行回顾性分析。共对每个病例计数60个细胞形态学变量,包括4个主要类别:细胞数量和成分、背景性质、细胞排列及细胞特征。根据数量或分类阶段,对变量进行半定量评分。分别采用多步逻辑回归(SPSS)和分类树模型(SAS)来确定对非增殖性病变、增殖性乳腺疾病和癌诊断具有预测性的显著且综合的变量。

结果

(1)在研究的400例良恶性病例中,基于多步逻辑回归系统分析结果,上皮细胞簇内肌上皮细胞的混合(P < 0.05)、大上皮细胞簇的存在(P < 0.05)、小上皮细胞簇的存在(P < 0.05)、细胞质空泡(P < 0.05)以及细胞的“渐进性套叠”形态(P < 0.1)被选为良恶性病变的有效鉴别诊断标准。然而,根据分类树模型,与良性病变相关的最有用变量是上皮细胞簇内肌上皮细胞的混合。如果将另一个标准,即大量大上皮细胞簇的存在,作为第二个有用变量联合使用,诊断准确率将提高到94.4%。中等至大量小上皮细胞簇的存在提示增殖性病变。如果样本中未发现上皮细胞簇内肌上皮细胞混合的标准,且与小上皮细胞簇、细胞质空泡及细胞的“渐进性套叠”形态相关,大多数情况(81.3%)将被视为癌病例。(2)在研究过程中的267例良性非增殖性和增殖性乳腺疾病中,多步逻辑回归和分类树模型均显示,上皮细胞簇内不规则细胞间隙的存在(P = 0.001)、松散的上皮细胞簇(P < 0.05)和核深染(P < 0.1)被选为增殖性病变的显著鉴别诊断标准。结构变量和异常细胞特征的数量,如细胞簇形成,被认为更为重要。上皮细胞簇内不规则细胞间隙的高频率存在和松散上皮细胞簇的数量表明增殖性病变的可能性更高。在本系列收集的所有增殖性乳腺疾病病例中,上皮细胞簇内仅存在不规则细胞间隙这一变量时,良性病变诊断可能性高达70.1%。如果不规则细胞间隙的频率增加到中等程度甚至更高,良性病变的可能性将增加到82.7%。如果将不规则细胞间隙和松散排列的上皮细胞簇这两个标准联合计算,增殖性乳腺疾病的可能性将达到87.5%。(3)FNAC标本中35例具有非典型细胞学特征的病变的组织学结果主要为乳腺增殖性病变(26例),其中大多数为伴有导管增生的纤维腺瘤。偶尔可能有少数良性病例合并非典型增生或癌性病变。

结论

在乳腺FNAC诊断中结合评估显著变量及其涉及的变量数量,对于鉴别良性/恶性和非增殖性/增殖性病变是有效的。伴有非典型细胞特征的病变应避免过度诊断为癌,进行组织学诊断的活检是必要的。

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