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甲状腺高细胞型变异型与经典型乳头状癌细胞学特征的形态计量分析

A morphometric analysis of cytological features of tall cell variant and classical papillary carcinoma of the thyroid.

作者信息

Dina R, Capitanio A, Damiani S

机构信息

Institute of Anatomical Pathology, University of Bologna, Bellaria Hospital, Italy.

出版信息

Cytopathology. 2000 Apr;11(2):124-8. doi: 10.1046/j.1365-2303.2000.00232.x.

Abstract

In order to assess whether morphometric parameters could be of value in distinguishing between tall cell variant and classical pattern of thyroid papillary carcinoma, the fine needle aspiration cytology (FNAC) samples of 14 cases were analysed using Arcimage 5 software on an Acorn computer. Histological examination of the specimens allowe classification of nine of them as classical pattern and the remaining five as tall cell variants. The nuclear diameter (NDD) and standard deviation distribution (NDSDD), th nuclear area (NAD) and standard deviation distribution (NASDD), and the nuclear/cytoplasmic ratio (NCR) were assessed on May-Grunwald-Giemsa stained smears. Statistical analysis was performed by use of one-way analysis of variance (ANOVA) of the two groups as identified by histology. Whilst NDD (P = 0.007), NAD (P = 0.015) and NADSD (P = 0.026) all appeared statistically significant, NDSD (P = 0.06) and NCR (P = 0.71) were not. The cytological diagnosis of papillary carcinoma is established and reproducible, but morphometric data on the thyroid have so far focused on the differential diagnosis between benign and malignant nodules. The choice of simple morphometric parameters appears to be helpful in the preoperative distinction between the classical pattern and tall cell variant of papillary carcinoma.

摘要

为了评估形态学参数在鉴别甲状腺乳头状癌高细胞变体和经典型别方面是否有价值,在一台Acorn计算机上使用Arcimage 5软件对14例病例的细针穿刺细胞学(FNAC)样本进行了分析。对标本的组织学检查将其中9例分类为经典型别,其余5例为高细胞变体。在May-Grunwald-Giemsa染色涂片上评估核直径(NDD)和标准差分布(NDSDD)、核面积(NAD)和标准差分布(NASDD)以及核/质比(NCR)。通过对组织学确定的两组进行单因素方差分析(ANOVA)进行统计分析。虽然NDD(P = 0.007)、NAD(P = 0.015)和NADSD(P = 0.026)均具有统计学意义,但NDSD(P = 0.06)和NCR(P = 0.71)无统计学意义。乳头状癌的细胞学诊断是明确且可重复的,但迄今为止甲状腺的形态学数据主要集中在良恶性结节的鉴别诊断上。选择简单的形态学参数似乎有助于在术前区分乳头状癌的经典型别和高细胞变体。

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