Ontology-based management of cranial computed tomography reports



C. Isac, J. Viterbo, A. Conci, and M. Da Silveira


in the proceedings of the 33rd IEEE Symposium on Computer-Based Medical Systems, volume 2020-July, art. no. 9182958, p. 214-219, ISBN: 978-172819429-5, 2020


A radiological study is comprised by a set of images together with a medical report, which is generated by radiologists to describe the main characteristics of such images and the associated clinical findings. The radiological study provides relevant information about the patient's health condition which is necessary for physicians to accomplish diagnosis. However, some works demonstrated that the reports can be vague, incomplete, ambiguous or having inaccuracies, inconsistencies or errors. In this paper, we propose to use ontologies to support the elaboration of radiological reports. We propose an ontology to represent the medical knowledge about cranial computed tomography (CCT), which is among the most required radiological studies in emergency or regular treatments. Finally, we evaluate the quality of the reports generated based on this ontology.



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