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下颌骨和上颌骨的中央巨细胞病变:一项临床病理和细胞计量学研究。

Central giant cell lesions of the mandible and maxilla: a clinicopathologic and cytometric study.

作者信息

Ficarra G, Kaban L B, Hansen L S

出版信息

Oral Surg Oral Med Oral Pathol. 1987 Jul;64(1):44-9. doi: 10.1016/0030-4220(87)90115-0.

Abstract

Computer-assisted image analysis was used to measure four histopathologic parameters (number of giant cells, mean number of nuclei per giant cell, fractional surface area, and relative size index) in two groups of patients with central giant cell lesions in a search for possible histologic predictors of clinical behavior. The lesions of 22 patients were classified clinically into nonaggressive and the lesions of 10 patients were classified into aggressive categories in accordance with the method of Chuong and Kaban. The majority of patients with aggressive lesions had recurrent tumors within 2 years and/or experienced pain, root resorption, and cortical perforation. Giant cells were selected in 25 random high-power magnification (X400) fields and measured by means of the Leitz Texture Analysis System-Plus. Linear stepwise discriminant analysis was applied to each parameter studied. Clinically aggressive giant cell lesions were characterized by a higher number of giant cells and greater fractional surface area when compared with the nonaggressive tumors. With the use of the "jackknife" classification procedure, the accuracy of the two statistically significant parameters (number of giant cells and fractional surface area) in predicting the aggressiveness or the nonaggressiveness of our group of central giant cell granulomas was, respectively, 70% and 82%. This study provides further evidence that the use of cytometric analysis of giant cells may be helpful in predicting prognosis and in planning treatment for these often difficult-to-manage lesions.

摘要

采用计算机辅助图像分析技术,对两组中央巨细胞病变患者的四个组织病理学参数(巨细胞数量、每个巨细胞的平均核数、部分表面积和相对大小指数)进行测量,以寻找可能的临床行为组织学预测指标。根据Chuong和Kaban的方法,将22例患者的病变临床分类为非侵袭性,10例患者的病变分类为侵袭性。大多数侵袭性病变患者在2年内出现肿瘤复发和/或经历疼痛、牙根吸收和皮质穿孔。在25个随机高倍放大(X400)视野中选择巨细胞,并使用Leitz纹理分析系统Plus进行测量。对每个研究参数应用线性逐步判别分析。与非侵袭性肿瘤相比,临床侵袭性巨细胞病变的特征是巨细胞数量较多且部分表面积较大。使用“留一法”分类程序,两个具有统计学意义的参数(巨细胞数量和部分表面积)预测我们这组中央巨细胞肉芽肿侵袭性或非侵袭性的准确率分别为70%和82%。本研究进一步证明,对巨细胞进行细胞计量分析可能有助于预测这些常难以处理病变的预后并规划治疗方案。

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