TNM-O: ontology support for staging of malignant tumours.
TNM-O: ontology support for staging of malignant tumours.
复制标题
TNM-O：针对恶性肿瘤分期的本体支持。
DOI：
10.1186/s13326-016-0106-9
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发表时间：
2016-11-14
影响因子：
1.9
通讯作者：
Schulz S
中科院分区：
文献类型：
--
作者：
Boeker M;França F;Bronsert P;Schulz S
这项工作的目标是（1）提出一个本体论的TNM分类系统的框架，（2）通过本体论的结肠和直肠肿瘤，和（3）评估这个本体论的TNM类分配给真实的世界病理数据。TNM本体使用解剖实体的解剖学基础模型和BioTopLite 2作为领域顶级本体。TNM分类系统的一般规则和结直肠肿瘤的具体TNM分类公理化的描述逻辑。基于病例的信息收集从肿瘤文件的做法，在综合癌症中心的一所大型大学医院。基于本体，开发了一个模块，病理数据分类。TNM被表示为一个信息人工制品，它由单一的代表性单位。对应于每个代表性单位，定义了肿瘤和肿瘤聚集体。肿瘤聚集体由原发肿瘤和（如果存在）浸润的区域淋巴结和远处转移组成。TNM代码取决于原发肿瘤（T）的位置和某些性质，浸润的区域淋巴结（N）和远处转移（M）的存在。利用该本体对临床和病理文献中的肿瘤数据进行了分类。TNM本体的第一版本表示用于描述恶性肿瘤的解剖学范围的TNM系统。目前的工作表明其代表性的权力和完整性，以及其适用性的实例数据的分类。
Objectives of this work are to (1) present an ontological framework for the TNM classification system, (2) exemplify this framework by an ontology for colon and rectum tumours, and (3) evaluate this ontology by assigning TNM classes to real world pathology data. The TNM ontology uses the Foundational Model of Anatomy for anatomical entities and BioTopLite 2 as a domain top-level ontology. General rules for the TNM classification system and the specific TNM classification for colorectal tumours were axiomatised in description logic. Case-based information was collected from tumour documentation practice in the Comprehensive Cancer Centre of a large university hospital. Based on the ontology, a module was developed that classifies pathology data. TNM was represented as an information artefact, which consists of single representational units. Corresponding to every representational unit, tumours and tumour aggregates were defined. Tumour aggregates consist of the primary tumour and, if existing, of infiltrated regional lymph nodes and distant metastases. TNM codes depend on the location and certain qualities of the primary tumour (T), the infiltrated regional lymph nodes (N) and the existence of distant metastases (M). Tumour data from clinical and pathological documentation were successfully classified with the ontology. A first version of the TNM Ontology represents the TNM system for the description of the anatomical extent of malignant tumours. The present work demonstrates its representational power and completeness as well as its applicability for classification of instance data.