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  • Liopyris, Konstantinos (author)

Expert agreement on the presence and spatial localization of melanocytic features in dermoscopy.

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • 2023

Numbers

  • LIBRIS-ID:oai:gup.ub.gu.se/331503
  • https://gup.ub.gu.se/publication/331503URI
  • https://doi.org/10.1016/j.jid.2023.01.045DOI

Supplementary language notes

  • Language:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Dermoscopy aids in melanoma detection; however, agreement on dermoscopic features, including those of high clinical relevance, remains poor. Herein we attempted to evaluate agreement among experts on 'exemplar images' not only for the presence of melanocytic-specific features but also for spatial localization. This was a cross-sectional, multicenter, observational study. Dermoscopy images exhibiting at least one of 31 melanocytic-specific features were submitted by 25 world experts as 'exemplars'. Using a web-based platform that allows for image mark-up of specific contrast-defined regions (superpixels), 20 expert readers annotated 248 dermoscopic images in collections of 62 images. Each collection was reviewed by five independent readers. A total of 4,507 feature observations were performed. Good-to-excellent agreement was found for 14 of 31 features (45.2%), with 8 achieving excellent agreement (Gwet's AC >0.75) and 7 of them being melanoma-specific features. These features were: 'Peppering /Granularity' (0.91); 'Shiny White Streaks' (0.89); 'Typical Pigment network' (0.83); 'Blotch Irregular' (0.82); 'Negative Network' (0.81); 'Irregular Globules' (0.78); 'Dotted Vessels' (0.77) and 'Blue Whitish Veil' (0.76). By utilizing an exemplar dataset, good-to-excellent agreement was found for 14 features that have previously been shown useful in discriminating nevi from melanoma. All images are public (www.isic-archive.com) and can be used for education, scientific communication and machine learning experiments.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Navarrete-Dechent, Cristian (author)
  • Marchetti, Michael A (author)
  • Rotemberg, Veronica (author)
  • Apalla, Zoe (author)
  • Argenziano, Giuseppe (author)
  • Blum, Andreas (author)
  • Braun, Ralph P (author)
  • Carrera, Cristina (author)
  • Codella, Noel C F (author)
  • Combalia, Marc (author)
  • Dusza, Stephen W (author)
  • Gutman, David A (author)
  • Helba, Brian (author)
  • Hofmann-Wellenhof, Rainer (author)
  • Jaimes, Natalia (author)
  • Kittler, Harald (author)
  • Kose, Kivanc (author)
  • Lallas, Aimilios (author)
  • Longo, Caterina (author)
  • Malvehy, Josep (author)
  • Menzies, Scott (author)
  • Nelson, Kelly C (author)
  • Paoli, John,1975Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology(Swepub:gu)xpaojo (author)
  • Puig, Susana (author)
  • Rabinovitz, Harold S (author)
  • Rishpon, Ayelet (author)
  • Russo, Teresa (author)
  • Scope, Alon (author)
  • Soyer, H Peter (author)
  • Stein, Jennifer A (author)
  • Stolz, Willhelm (author)
  • Sgouros, Dimitrios (author)
  • Stratigos, Alexander J (author)
  • Swanson, David L (author)
  • Thomas, Luc (author)
  • Tschandl, Philipp (author)
  • Zalaudek, Iris (author)
  • Weber, Jochen (author)
  • Halpern, Allan C (author)
  • Marghoob, Ashfaq A (author)
  • Göteborgs universitetInstitutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi (creator_code:org_t)

Related titles

  • In:The Journal of investigative dermatology144:31523-1747

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