Automated prostate tissue referencing for cancer detection and diagnosis.
Automated prostate tissue referencing for cancer detection and diagnosis.
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DOI：
10.1186/s12859-016-1086-6
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发表时间：
2016-06-01
影响因子：
3
通讯作者：
Bhargava R
中科院分区：
文献类型：
--
作者：
Kwak JT;Hewitt SM;Kajdacsy-Balla AA;Sinha S;Bhargava R
目前的组织病理学检查在速度和准确性方面都是有限的。目前的诊断范式不能完全描述癌症的复杂和复杂模式。为了满足这些需求，我们开发了一个自动化和客观的系统，以促进全面和轻松的信息管理和决策。我们还开发了一种组织相似性测量方案，以扩大我们对组织特征的理解。该系统包括先前评估的前列腺组织图像、临床信息和组织检索过程的数据库。在该系统中，组织以其形态为特征。检索过程试图找到与感兴趣组织最匹配的病例。此外，我们定义了9个形态标准，病理学家根据这些标准进行组织形态诊断。根据这9个标准，确定了组织的真实相似性，并将其作为组织检索的金标准。在这里，当匹配分别定义为组织相似性分数≥5和≥6时，我们发现对于~80%和~60%的查询，至少有4个和3个匹配案例(满分5个)。由于组织相似性评分系统，我们还能够检查格里森分级系统之外的组织之间的关系。向病理医生提供最匹配的病例及其临床信息将有助于进行一致和可靠的诊断。因此，我们期望该系统能够促进癌症病理学的质量维护和质量改进。本文的在线版本(doi：10.1186/s12859-0161086-6)包含补充材料，授权用户可以使用。
The current practice of histopathology review is limited in speed and accuracy. The current diagnostic paradigm does not fully describe the complex and complicated patterns of cancer. To address these needs, we develop an automated and objective system that facilitates a comprehensive and easy information management and decision-making. We also develop a tissue similarity measure scheme to broaden our understanding of tissue characteristics. The system includes a database of previously evaluated prostate tissue images, clinical information and a tissue retrieval process. In the system, a tissue is characterized by its morphology. The retrieval process seeks to find the closest matching cases with the tissue of interest. Moreover, we define 9 morphologic criteria by which a pathologist arrives at a histomorphologic diagnosis. Based on the 9 criteria, true tissue similarity is determined and serves as the gold standard of tissue retrieval. Here, we found a minimum of 4 and 3 matching cases, out of 5, for ~80 % and ~60 % of the queries when a match was defined as the tissue similarity score ≥5 and ≥6, respectively. We were also able to examine the relationship between tissues beyond the Gleason grading system due to the tissue similarity scoring system. Providing the closest matching cases and their clinical information with pathologists will help to conduct consistent and reliable diagnoses. Thus, we expect the system to facilitate quality maintenance and quality improvement of cancer pathology. The online version of this article (doi:10.1186/s12859-016-1086-6) contains supplementary material, which is available to authorized users.