A standardized dermatology vocabulary is central to our collective ability to gather clinical information consistently for patient care, to retrieve information for research or disease management, as well as to conduct outcomes analysis for quality improvement. The deficiencies of current classifications have been recognized by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) in their decision to fund the development of a standard complete reference terminology for dermatology. The Dermatology Lexicon will have a major impact both on clinical care and on dermatologic research. Accuracy in medical records and telemedicine communications will be improved. Reliable terminology will provide for more complete and consistent documentation and data aggregation and reporting. In order to create a useful, sustainable lexicon, involvement of the dermatology community is essential.
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http://dx.doi.org/10.1016/s0190-9622(03)01571-8 | DOI Listing |
J Eur Acad Dermatol Venereol
January 2025
Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie (SFD), Paris, France.
Arch Dermatol Res
October 2024
Department of Dermatology, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Target Oncol
November 2024
Oncology Unit, Macerata Hospital, Macerata, Italy.
Front Immunol
June 2024
Department of Medicine, The University of the West Indies, Mona, Kingston, Jamaica.
A diagnosis of dermatomyositis requires recognition of distinct patterns of skin disease in combination with, and sometimes without, muscle weakness. Often, a striking contrast between involved and uninvolved areas is observed. Familiar patterns include eyelid and midfacial eruptions, Gottron papules/sign, and upper back (shawl sign), central chest (V/open collar sign), and lateral thigh (holster sign) involvement.
View Article and Find Full Text PDFJ Eur Acad Dermatol Venereol
January 2025
Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Background: A common terminology for diagnosis is critically important for clinical communication, education, research and artificial intelligence. Prevailing lexicons are limited in fully representing skin neoplasms.
Objectives: To achieve expert consensus on diagnostic terms for skin neoplasms and their hierarchical mapping.
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