Giesen R J, Huynen A L, de la Rosette J J, Schaafsma H E, van Iersel M P, Aarnink R G, Debruyne F M, Wijkstra H
Department of Urology, University Hospital Nijmegen, The Netherlands.
Ultrasound Med Biol. 1994;20(9):871-6. doi: 10.1016/0301-5629(94)90047-7.
This article describes a method to investigate the influence of inconsistent histopathology during the development of tissue discrimination algorithms. Review of the pathology is performed on the biopsies used as training set of a computer system for cancer detection in ultrasonographic prostate images. The influence of the discrepancies found between independent pathologists on the discriminating power of the system is investigated. A high diagnostic consistency in histopathology concerning only the categories malignant and nonmalignant is found. Therefore, review of the pathology does not significantly influence the results of tissue discrimination algorithms for cancer detection. However a high interobserver variability is obtained in the differentiation between more histology classes.
本文描述了一种在组织鉴别算法开发过程中研究组织病理学不一致影响的方法。对用作超声前列腺图像癌症检测计算机系统训练集的活检样本进行病理复查。研究了独立病理学家之间发现的差异对系统鉴别能力的影响。发现仅在恶性和非恶性类别方面组织病理学具有较高的诊断一致性。因此，病理复查对癌症检测组织鉴别算法的结果没有显著影响。然而，在更多组织学类别之间的区分上观察者间变异性较高。
