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PubMed · 10566370

A visual coding system in histopathology and its consensual acquisition.

C Le Bozec·M C Jaulent·E Zapletal·D Heudes·P Degoulet
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Abstract

Divergent descriptions of histopathologic images induce inter- and intra-observer variability in diagnosis. Even though a controlled terminology exists to describe medical imaging, pathologists do not always agree on the visual representation of the descriptive terms. The main purpose of our work is to define a methodology to build a standardized visual coding system unambiguously characterizing the terms of a microglossary. The methodology follows two steps: 1) the acquisition of experts' descriptions of images using the microglossary and 2) a consensus derivation. The procedure was applied on a set of 85 histopathological images of breast tumors described by two experts. Among the 339 objects selected in images, 176 were detected by both experts, 77% localized at the same place and 25% also identically labeled. The microglossary was enriched and illustrated via the resulting consensual descriptions. The contribution of this work supports relevant indexing of biomedical images and image-related information.

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Breast NeoplasmsHistologyHumansObserver VariationPathology, ClinicalSoftwareVocabulary, ControlledJournal Article

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C Le Bozec, M C Jaulent, E Zapletal, D Heudes, P Degoulet. 1999. A visual coding system in histopathology and its consensual acquisition.. https://pubmed.ncbi.nlm.nih.gov/10566370/

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