The utility of augmented teledermatology to improve dermatologist diagnosis of cellulitis: a cross-sectional study.
Cellulitis
Diagnostic accuracy
Diagnostic confidence
Pseudocellulitis
Teledermatology
Thermal imaging
Journal
Archives of dermatological research
ISSN: 1432-069X
Titre abrégé: Arch Dermatol Res
Pays: Germany
ID NLM: 8000462
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
received:
24
08
2022
accepted:
12
12
2022
revised:
28
11
2022
medline:
25
5
2023
pubmed:
30
12
2022
entrez:
29
12
2022
Statut:
ppublish
Résumé
Dermatology consultation for cases of presumed cellulitis improves diagnostic accuracy and management. However, access to in-person consultation remains limited, a gap that could be filled with teledermatology. Augmented teledermatology may improve outcomes. In this cross-sectional study, 20 dermatologists (60% of whom reported conducting inpatient consults > 1 month per year) reviewed 10 real-life cases representing either cellulitis or pseudocellulitis as diagnosed by in-person dermatology consultation. For each case, respondents recorded their diagnosis, confidence, and management decisions after viewing the history and standard teledermatology photos, the responses to a physician-reported cellulitis questionnaire, and finally thermal images. Overall mean diagnostic accuracy increased from 84 ± 4% with the history and physical to 89 ± 3% when adding a cellulitis questionnaire and thermal images (p = 0.23). Accuracy for cellulitis cases specifically significantly increased from 76 ± 6% to 88 ± 4% when adding a cellulitis questionnaire and thermal images (p = 0.049). Accuracy for pseudocellulitis was consistently ≥ 94%. Augmented teledermatology with a standardized questionnaire and thermal images improved diagnostic accuracy for cases of cellulitis and may increase physician confidence. Dermatologists were able to accurately diagnose regardless of experience with inpatient consults, increasing the pool of potential dermatologists who could diagnose cellulitis remotely.
Identifiants
pubmed: 36580098
doi: 10.1007/s00403-022-02517-x
pii: 10.1007/s00403-022-02517-x
pmc: PMC9798350
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1347-1353Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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