Literature DB >> 32770737

Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration.

C Navarrete-Dechent1,2, K Liopyris1,3, M A Molenda4, R Braun5, C Curiel-Lewandrowski6, S W Dusza1, P Guitera7, R Hofmann-Wellenhof8, H Kittler9, A Lallas10, J Malvehy11,12, M A Marchetti1, M Oliviero13, G Pellacani14, S Puig11,12, H P Soyer15, T Tejasvi16, L Thomas17, P Tschandl9, A Scope18, A A Marghoob1, A C Halpern1.   

Abstract

BACKGROUND: There is no internationally vetted set of anatomic terms to describe human surface anatomy.
OBJECTIVE: To establish expert consensus on a standardized set of terms that describe clinically relevant human surface anatomy.
METHODS: We conducted a Delphi consensus on surface anatomy terminology between July 2017 and July 2019. The initial survey included 385 anatomic terms, organized in seven levels of hierarchy. If agreement exceeded the 75% established threshold, the term was considered 'accepted' and included in the final list. Terms added by the participants were passed on to the next round of consensus. Terms with <75% agreement were included in subsequent surveys along with alternative terms proposed by participants until agreement was reached on all terms.
RESULTS: The Delphi included 21 participants. We found consensus (≥75% agreement) on 361/385 (93.8%) terms and eliminated one term in the first round. Of 49 new terms suggested by participants, 45 were added via consensus. To adjust for a recently published International Classification of Diseases-Surface Topography list of terms, a third survey including 111 discrepant terms was sent to participants. Finally, a total of 513 terms reached agreement via the Delphi method.
CONCLUSIONS: We have established a set of 513 clinically relevant terms for denoting human surface anatomy, towards the use of standardized terminology in dermatologic documentation.
© 2020 European Academy of Dermatology and Venereology.

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Year:  2020        PMID: 32770737     DOI: 10.1111/jdv.16855

Source DB:  PubMed          Journal:  J Eur Acad Dermatol Venereol        ISSN: 0926-9959            Impact factor:   6.166


  3 in total

1.  Performance of a deep neural network in teledermatology: a single-centre prospective diagnostic study.

Authors:  C Muñoz-López; C Ramírez-Cornejo; M A Marchetti; S S Han; P Del Barrio-Díaz; A Jaque; P Uribe; D Majerson; M Curi; C Del Puerto; F Reyes-Baraona; R Meza-Romero; J Parra-Cares; P Araneda-Ortega; M Guzmán; R Millán-Apablaza; M Nuñez-Mora; K Liopyris; C Vera-Kellet; C Navarrete-Dechent
Journal:  J Eur Acad Dermatol Venereol       Date:  2020-11-22       Impact factor: 6.166

2.  DICOM in Dermoscopic Research: an Experience Report and a Way Forward.

Authors:  Liam Caffery; Jochen Weber; Nicholas Kurtansky; David Clunie; Steve Langer; George Shih; Allan Halpern; Veronica Rotemberg
Journal:  J Digit Imaging       Date:  2021-07-09       Impact factor: 4.903

Review 3.  Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; David A Clunie; David J Vining; Seth J Berkowitz; Alejandro Berlin; Jean-Pierre Bissonnette; Shawn D Clark; Toby C Cornish; Monief Eid; Cree M Gaskin; Alexander K Goel; Genevieve C Jacobs; David Kwan; Damien M Luviano; Morgan P McBee; Kelly Miller; Abdul Moiz Hafiz; Ceferino Obcemea; Anil V Parwani; Veronica Rotemberg; Elliot L Silver; Erik S Storm; James E Tcheng; Karen S Thullner; Les R Folio
Journal:  J Digit Imaging       Date:  2021-06-15       Impact factor: 4.056

  3 in total

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