@Article{info:doi/10.2196/49613,
author="Lin, Rebecca Z
and Amith, Muhammad Tuan
and Wang, Cynthia X
and Strickley, John
and Tao, Cui",
title="Dermoscopy Differential Diagnosis Explorer (D3X) Ontology to Aggregate and Link Dermoscopic Patterns to Differential Diagnoses: Development and Usability Study",
journal="JMIR Med Inform",
year="2024",
month="Jun",
day="21",
volume="12",
pages="e49613",
keywords="medical informatics; biomedical ontology; ontology; ontologies; vocabulary; OWL; web ontology language; skin; semiotic; web app; web application; visual; visualization; dermoscopic; diagnosis; diagnoses; diagnostic; information storage; information retrieval; skin lesion; skin diseases; dermoscopy differential diagnosis explorer; dermatology; dermoscopy; differential diagnosis; information storage and retrieval",
abstract="Background: Dermoscopy is a growing field that uses microscopy to allow dermatologists and primary care physicians to identify skin lesions. For a given skin lesion, a wide variety of differential diagnoses exist, which may be challenging for inexperienced users to name and understand. Objective: In this study, we describe the creation of the dermoscopy differential diagnosis explorer (D3X), an ontology linking dermoscopic patterns to differential diagnoses. Methods: Existing ontologies that were incorporated into D3X include the elements of visuals ontology and dermoscopy elements of visuals ontology, which connect visual features to dermoscopic patterns. A list of differential diagnoses for each pattern was generated from the literature and in consultation with domain experts. Open-source images were incorporated from DermNet, Dermoscopedia, and open-access research papers. Results: D3X was encoded in the OWL 2 web ontology language and includes 3041 logical axioms, 1519 classes, 103 object properties, and 20 data properties. We compared D3X with publicly available ontologies in the dermatology domain using a semiotic theory--driven metric to measure the innate qualities of D3X with others. The results indicate that D3X is adequately comparable with other ontologies of the dermatology domain. Conclusions: The D3X ontology is a resource that can link and integrate dermoscopic differential diagnoses and supplementary information with existing ontology-based resources. Future directions include developing a web application based on D3X for dermoscopy education and clinical practice. ",
issn="2291-9694",
doi="10.2196/49613",
url="https://medinform.jmir.org/2024/1/e49613",
url="https://doi.org/10.2196/49613",
url="http://www.ncbi.nlm.nih.gov/pubmed/38904996"
}