...
【24h】

Implementation of a map in radical prostatectomy specimen allows visual estimation of tumor volume.

机译:在根治性前列腺切除术标本中实施地图可直观估计肿瘤体积。

获取原文
获取原文并翻译 | 示例

摘要

INTRODUCTION: Tumor volume is one of the best documented prognostic factors for prostate cancer. There are several methods to gain this important parameter but unfortunately most of the clinicians in the world do not get this information in their routine practice from the pathologist. We developed a standardized method to handle radical prostatectomy specimens including a special form of mapping in order to document relevant morphological data. The aim of this study was to investigate if our model of mapping prostate cancer, which we use in routine practice, may serve for visual estimation of tumor volume. METHODS: We estimated the tumor volume of prostate cancer by visual estimation of 350 maps of radical prostatectomy specimens and correlated these data with established prognostic parameters and clinical outcome. RESULTS: Significant correlations between tumor volumes, as obtained from our mapping, and known prognostic parameters such as preoperative serum levels of prostatic specific antigen, loss of differentiation, histological grade, lymph node metastasis, and margins were found. In a multivariate analysis, only Gleason score and tumor stage were shown to be independent prognostic parameters. DISCUSSION: We demonstrate that mapping of prostate cancer is more than a simple method of documentation but may serve as a method for visual estimation of tumor volume of prostate cancer after radical prostatectomy. This method can further be used for a visual documentation of the tumor stage independent of changes in the TNM classification. The method is inexpensive and practicable and can therefore be applied in routine surgical pathology.
机译:简介:肿瘤体积是前列腺癌预后最好的因素之一。有几种方法可以获取此重要参数,但不幸的是,世界上大多数临床医生在常规实践中都无法从病理学家那里获得此信息。我们开发了一种标准方法来处理前列腺癌根治术标本,包括一种特殊形式的映射图,以记录相关的形态学数据。这项研究的目的是调查我们在常规实践中使用的前列腺癌作图模型是否可用于视觉估计肿瘤体积。方法:我们通过目视评估350幅前列腺癌根治术标本的图像来估计前列腺癌的肿瘤体积,并将这些数据与已建立的预后参数和临床结果相关联。结果:从我们的地图获得的肿瘤体积与已知的预后参数(如术前血清前列腺特异性抗原的水平,分化的丧失,组织学等级,淋巴结转移和切缘)之间存在显着相关性。在多变量分析中,仅格里森评分和肿瘤分期显示为独立的预后参数。讨论:我们证明,前列腺癌的标测不仅仅是一种简单的记录方法,而且可以作为一种视觉估计前列腺癌根治术后的前列腺癌肿瘤大小的方法。该方法可以进一步用于可视化的肿瘤分期,而与TNM分类的变化无关。该方法廉价且实用,因此可以应用于常规手术病理学中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号