Fustar-Preradović Ljubica, Sarcević Bozena, Danić Davorin
"Dr. Josip Bencević" General Hospital, Department of Pathology, Forensic Medicine and Cytology, Slavonski Brod, Croatia.
Coll Antropol. 2012 Nov;36 Suppl 2:47-51.
Simple morphological identification of a sample as parathyroid gland tissue is not always sufficient for optimal patient treatment. Instead, patients with parathyroid gland lesions that increase the risk of disease relapse should be identified. To assess the possibility of differentiating adenoma from hyperplasia in preoperative material by use of computerized morphometric analysis in order to enable better preoperative work-up in patients with hyperparathyroidism. Samples obtained by US guided fine-needle aspiration biopsy of 67 parathyroid glands without known histopathologic diagnosis were dried and stained by May-Grünwald-Giemsa. Fifty nuclei per sample were analyzed and designated automatically with manual correction using image analyzer and specific software. The area, circumference, convexity, minimal and maximal radius, length and width, and factors of regularity, i.e. form factor and factor of nucleus elongation, were determined for each nucleus. Basic descriptive parameters and measures of variability (variation coefficient and standard deviation) were calculated for each continuous variable. The correlation of continuous variables was analyzed by use of Mann-Whitney test. Computer analysis of cell image classified the cell nuclei into two groups. The area, circumference, minimal radius, convexity and width of the nuclei showed higher values in the hyperplasia group as compared with the adenoma group. Standard deviation also showed higher values of each of the study parameters in the former group. Our own observations and subjective assessment of variations in nucleus size to represent substantial characteristics differentiating parathyroid adenoma and hyperplasia in cytologic smear were quantitatively verified by the use of objective morphometric measurement and should therefore be considered valid parameters on differentiating these two entities.
仅通过简单的形态学鉴定将样本识别为甲状旁腺组织,对于患者的最佳治疗而言并不总是足够的。相反,应识别出甲状旁腺病变且疾病复发风险增加的患者。为了在术前材料中通过计算机形态计量分析评估区分腺瘤与增生的可能性,以便在甲状旁腺功能亢进患者中进行更好的术前检查。对67个未知组织病理学诊断的甲状旁腺进行超声引导下细针穿刺活检所获得的样本进行干燥处理,并采用May-Grünwald-Giemsa染色。每个样本分析50个细胞核,并使用图像分析仪和特定软件自动标注并人工校正。测定每个细胞核的面积、周长、凸度、最小和最大半径、长度和宽度,以及规则性因子,即形态因子和核伸长因子。对每个连续变量计算基本描述参数和变异度量(变异系数和标准差)。使用Mann-Whitney检验分析连续变量的相关性。细胞图像的计算机分析将细胞核分为两组。与腺瘤组相比,增生组细胞核的面积、周长、最小半径、凸度和宽度显示出更高的值。标准差在前一组中每个研究参数也显示出更高的值。我们自己的观察以及对细胞核大小变化以代表细胞学涂片中区分甲状旁腺腺瘤和增生的实质性特征的主观评估,通过客观形态计量测量得到了定量验证,因此应被视为区分这两种实体的有效参数。