title: Computation of semantic similarity within an ontology of breast pathology to assist inter-observer consensus.
abstract: Computer-assisted consensus in medical imaging involves automatic comparison of morphological abnormalities observed by physicians in images. We built an ontology of morphological abnormalities in breast pathology to assist inter-observer consensus. Concepts of morphological abnormalities extracted from existing terminologies, published grading systems and medical reports were organized in an taxonomic hierarchy and furthermore linked by the relation "is a diagnostic criterion of" according to diagnostic meaning. We implemented position-based, content-based and mixed semantic similarity measures between concepts in this ontology and compared the results with experts' judgment. The position-based similarity measure using both taxonomic and non-taxonomic relations performed as well as the other measures and was used for automatic comparison of morphological abnormalities within the IDEM computer-assisted consensus platform.
authors.affiliation: INSERM U729, F-75006, Paris, France.
authors.forename: Olivier
authors.initials: O
authors.lastname: Steichen
authors.forename: Christel
authors.initials: C
authors.lastname: Daniel-Le Bozec
authors.forename: Maxime
authors.initials: M
authors.lastname: Thieu
authors.forename: Eric
authors.initials: E
authors.lastname: Zapletal
authors.forename: Marie-Christine
authors.initials: MC
authors.lastname: Jaulent
mesh_terms: D001940:Breast / Q000473:pathology*; D005260:Female; D006801:Humans; D008490:Medical Informatics; D015588:Observer Variation; D010338:Pathology, Clinical / Q000706:statistics & numerical data; D012660:Semantics