Baak J P
Pathol Res Pract. 1984 Sep;179(1):20-3. doi: 10.1016/S0344-0338(84)80056-4.
Endometrial adenomatous hyperplasia, and the different grades of endometrial carcinoma form a continuous spectrum of morphologic deviations. The reproducibility and consistency of the assessment of these microscopical patterns is a historical problem ("nicht Karzinom - aber besser hinaus"). Lack of objective criteria is the major cause of this. Computer-aided morphometric analysis has revealed the diagnostic significance of several quantitative microscopical features. Using these in a multivariate combination, a highly reproducible and objective classifier has been developed. Selection of the significant areas by skilled gynaecopathologists is essential for the useful application of this algorythm. Especially in cases of doubt, this classification rule can be of decisive importance. Routine application in diagnostic gynaecopathology of this selective type of morphometry over a period of four years has regularly corrected the original subjective histopathological grade. In a case of a young patient with an unsuspected sexcord tumor of the ovary with annular tubules, the erroneous diagnosis of endometrial carcinoma was corrected by the application of morphometry into adenomatous hyperplasia. An excision of the ovarian tumor was performed, and slowly the morphologic pattern of the subsequent microcurettings revealed a more and more normal microscopical pattern, with eventually signs of secretion. Other studies have shown, that morphometrical analysis of adenomatous hyperplasias can predict the majority of those patients, who will develop frank carcinoma in their later course. Finally, objective histopathological grading of carcinomas reveals the superior quality of morphometry above subjective qualitative methods. Prevention of under- or overtreatment with radiotherapy can therefore be the result of routine diagnostic morphometry.(ABSTRACT TRUNCATED AT 250 WORDS)
子宫内膜腺瘤样增生以及不同级别的子宫内膜癌构成了一个连续的形态学偏差谱。对这些微观模式评估的可重复性和一致性一直是个历史难题(“非癌,但最好还是切除”)。缺乏客观标准是主要原因。计算机辅助形态计量分析揭示了几种定量微观特征的诊断意义。将这些特征进行多变量组合,开发出了一种高度可重复且客观的分类器。由经验丰富的妇科病理学家选择重要区域对于该算法的有效应用至关重要。尤其是在存在疑问的病例中,这种分类规则可能具有决定性意义。在诊断性妇科病理学中对这种选择性形态计量学进行了四年的常规应用,经常纠正了原来主观的组织病理学分级。在一名年轻患者中,最初怀疑是卵巢性索肿瘤伴环状小管,通过对腺瘤样增生应用形态计量学纠正了子宫内膜癌的错误诊断。切除了卵巢肿瘤,随后刮宫标本的形态模式逐渐显示出越来越正常的微观模式,最终出现分泌迹象。其他研究表明,对腺瘤样增生进行形态计量分析可以预测大多数在后期会发展为明显癌的患者。最后,对癌进行客观的组织病理学分级显示出形态计量学优于主观定性方法。因此,常规诊断性形态计量学的结果可能是预防放疗不足或过度治疗。(摘要截断于250字)