• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Agreement on classification of clinical photographs of pigmentary lesions: exercise after a training course with young dermatologists.

Agreement on classification of clinical photographs of pigmentary lesions: exercise after a training course with young dermatologists.

Details
Files
DOI
10.48350/181811
Publisher DOI
10.4081/dr.2022.9500
PubMed ID
37063404
Abstract
Smartphone apps may help promoting the early diagnosis of melanoma. The reliability of specialist judgment on lesions should be assessed. Hereby, we evaluated the agreement of 6 young dermatologists, after a specific training. Clinical judgment was evaluated during 2 online sessions, 1 month apart, on a series of 45 pigmentary lesions. Lesions were classified as highly suspicious, suspicious, non-suspicious or not assessable. Cohen's and Fleiss' kappa were used to calculate intra- and inter-rater agreement. The overall intra-rater agreement was 0.42 (95% confidence interval - CI: 0.33-0.50), varying between 0.12-0.59 on single raters. The inter-rater agreement during the first phase was 0.29 (95% CI: 0.24-0.34). When considering the agreement for each category of judgment, kappa varied from 0.19 for not assessable to 0.48 for highly suspicious lesions. Similar results were obtained in the second exercise. The study showed a less than satisfactory agreement among young dermatologists. Our data point to the need for improving the reliability of the clinical diagnoses of melanoma especially when assessing small lesions and when dealing with thin melanomas at a population level.
Date Issued
2023-03-07
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Subjects
Agreement Classification Melanoma Skin cancer Teledermatology
Language(s)
en
Author(s)
Cazzaniga, Simone  orcid-logo
Universitätsklinik für Dermatologie  
De Ponti, Lucia
Baratelli, Giorgio Maria
Francione, Salvatore
La Vecchia, Carlo
Di Landro, Anna
Carugno, Andrea
Di Mercurio, Marco
Germi, Lerica
Trevisan, Giampaolo
Fenaroli, Mirko
Capasso, Claudia
Pezza, Michele
Dri, Pietro
Castelli, Emanuele
Naldi, Luigi
Additional Credits
Universitätsklinik für Dermatologie  
Journal
Dermatology reports
Publisher
PAGEPress
ISSN
2036-7392
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: c618d0 [ 2.10. 13:10]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • BORIS Portal & Open Science
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo
Repository logo COAR Notify