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不同分级和类型乳腺癌中肿瘤细胞的形态测定

Morphometry of tumor cells in different grades and types of breast cancer.

作者信息

Prvulović Ivana, Kardum-Skelin Ika, Sustercić Dunja, Jakić-Razumović Jasminka, Manojlović Spomenka

机构信息

Department of Cytology, General Hospital "Dr. J. Bencević", Slavonski Brod, Croatia.

出版信息

Coll Antropol. 2010 Mar;34(1):99-103.

PMID:20437638
Abstract

The aim of the study was to compare morphometric characteristics of different types and grades of breast cancer. Morphometric analysis was performed using the SFORM software (Vamstec, Zagreb) on the May-Grünwald-Giemsa stained fine needle aspiration cytology (FNAC) breast tissue specimens. The study included 42 patients diagnosed with breast carcinoma by breast smear FNAC at Merkur University Hospital during the 2001-2005 period. Postoperative tumor histopathology and semi-quantitative tumor grading by the method of Elston and Ellis' showed invasive ductal carcinoma grade I in 10, invasive ductal carcinoma grade II in 9, invasive ductal carcinoma grade III in 13, and invasive lobular carcinoma in 13 patients, the latter also including a subtype of invasive tubulolobular carcinoma. The following parameters were assessed by use of Statistica 7.1 and chi2-test: tumor area, circumference, maximal radius, minimal radius, convexity, length, width, elongation, nucleus/cytoplasm ratio, and shape factor. Morphometric analysis yielded statistically significant differences among all study groups (p < 0.001). Morphometric parameters showed significant individual correlation with tumor type and grade, whereby the area, convexity and circumference were most significant at both nuclear and cellular level.

摘要

本研究的目的是比较不同类型和级别的乳腺癌的形态计量学特征。使用SFORM软件(Vamstec,萨格勒布)对May-Grünwald-Giemsa染色的细针穿刺细胞学(FNAC)乳腺组织标本进行形态计量分析。该研究纳入了2001年至2005年期间在默库大学医院通过乳腺涂片FNAC诊断为乳腺癌的42例患者。术后肿瘤组织病理学及采用Elston和Ellis方法进行的半定量肿瘤分级显示,10例为浸润性导管癌I级,9例为浸润性导管癌II级,13例为浸润性导管癌III级,13例为浸润性小叶癌,后者还包括浸润性小管小叶癌亚型。使用Statistica 7.1和卡方检验评估以下参数:肿瘤面积、周长、最大半径、最小半径、凸度、长度、宽度、伸长率、核质比和形状因子。形态计量分析在所有研究组之间产生了统计学上的显著差异(p < 0.001)。形态计量参数与肿瘤类型和分级显示出显著的个体相关性,其中面积、凸度和周长在核水平和细胞水平上最为显著。

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