Grading lung tumors using OWL-DL based reasoning

The treatment and prognosis for a tumor depend to a large extent on its stage. The goal of this article is to analyze to what extent tumor grading can be performed automatically using the OWLDL description logic language. We focused on the grading of lung tumors. Section 2 is a review of the authoritative cancer ontology, in which we conclude that the NCIT has to be extended in order to perform automatic tumor grading. Section 3 is a description of the TNM classification used for defining the grade of a tumor and the anatomical concepts that we used. Section 4 compares how Description Logic’s class-based classification and instance-based classification support tumor grading.