Höffken H, Peschke W, Heberling D, Rummel H H, Mayer G, Schmitt J
Geburtshilfe Frauenheilkd. 1983 Mar;43(3):182-8. doi: 10.1055/s-2008-1037084.
Histomorphological diagnosing very much depends on subjective empiric data. In histomorphology of the endometrium nomenclature as well as diagnostic classification lack uniformity and are full of controversy in literature. This results in opposing assessments of dignity of endometrial hyperplasias and prognosis of varying grades of carcinoma differentiation. One of the reasons is the lack of objective and reproducible diagnostic categories, not yet found. Morphometry with so-called computer-assisted interactive pattern recognition systems might offer the solution to numerous problems. Since there are no specific parameters for diagnostic identification of endometrial hyperplasias and carcinomas, only a combination of sensitive and reproducible parameters can allow for diagnostic identification. We report on our first computer-assisted pattern recognition studies and results that appear to provide an adequate basis for leaving descriptive diagnosing and turning to objective diagnosing. Such an objective diagnosing might not only be of clinical and therapeutic significance but also provide a new evaluation of the today's significance -- still full of controversy -- and prospective potency of endometrial hyperplasias. In computer-assisted interactive pattern recognition also lies the possibility of a contribution to objective tumour grading that appears to have high prognostic significance.
组织形态学诊断很大程度上依赖于主观经验数据。在子宫内膜组织形态学方面，命名法以及诊断分类缺乏一致性，且在文献中充满争议。这导致对子宫内膜增生的严重程度以及不同分化程度癌的预后存在相反的评估。原因之一是尚未找到客观且可重复的诊断类别。使用所谓的计算机辅助交互式模式识别系统进行形态测量可能为众多问题提供解决方案。由于目前尚无用于诊断子宫内膜增生和癌的特定参数，只有敏感且可重复的参数组合才能实现诊断识别。我们报告了我们首次计算机辅助模式识别研究及结果，这些研究和结果似乎为摒弃描述性诊断并转向客观诊断提供了充分依据。这样的客观诊断不仅可能具有临床和治疗意义，还可能对子宫内膜增生目前仍充满争议的意义及未来潜力提供新的评估。计算机辅助交互式模式识别还有可能为具有高预后意义的客观肿瘤分级做出贡献。
