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Cited by 136Cutaneous Melanoma Detection and ManagementTelemedicine and Telehealth ImplementationAI in cancer detection

Teledermoscopy - results of a multicentre study on 43 pigmented skin lesions

Piccolo, Domenico, Smolle, Josef, Argenziano, Giuseppe, Wolf, Ingrid H, Braun, Ralph, Cerroni, Lorenzo, Ferrari, Angela, Hofmann-Wellenhof, Rainer +10 more·2000·Journal of Telemedicine and Telecare
DOI 10.1258/1357633001935202
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Abstract

We performed a multicentre study to evaluate the agreement between the direct clinical diagnosis and the telediagnosis of 43 cutaneous pigmented lesions. Digital clinical and dermoscopic images of the 43 pigmented skin lesions (11 melanomas, 23 melanocytic naevi, three basal cell carcinomas, three lentigines, two seborrhoeic keratoses and one angiokeratoma) were sent by email to 11 colleagues (six dermatologists, two residents in dermatology, one oncologist, one specialist in internal medicine and one general practitioner) in 10 centres. These 11 colleagues had different degrees of experience in dermoscopy. With histopathology as the gold standard, an average of 85% of the telediagnoses were correct, with results varying from 77% to 95%, whereas face-to-face diagnosis by an expert dermatologist was correct in 91% of cases. The kappa value for all participants ranged from 0.35 to 0.87. The results confirm that teledermoscopy can be a reliable technique for the diagnosis of pigmented skin lesions but one that will depend on the expertise of the observer.

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  • Use of dermatoscopes by well-trained primary care providers compared to clinical photographs alone can improve access to dermatologic care for underserved populations, reduce wait times, allow continuous monitoring of lesions over time, and improve detection of suspicious lesions.

    “When compared to clinical photographs alone, use of dermatoscopes by well-trained primary care providers can also improve access to dermatologic care for underserved populations, reduce wait times, allow for continuous monitoring of lesions over time, and improve detection of suspicious lesions22–25.”

    From Dermoscopy practice guidelines for use in telemedicine (2022) · cites this paper as [24]

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Authors
Piccolo, D., Smolle, J., Argenziano, G., Wolf, I. H., Braun, R., Cerroni, L., Ferrari, A., Hofmann-Wellenhof, R., Kenet, R. O., Magrini, F., Mazzocchetti, G., Pizzichetta, M. A., Schaeppi, H., Stolz, W., Tanaka, M., Kerl, H., Chimenti, S., & Soyer, H. P.
Affiliations
  • University of L'Aquila (IT)
  • University of Graz (AT)
  • Federico II University Hospital (IT)
  • University of Geneva (CH)
  • Department of Dermatology, University of Graz, Graz, Austria
  • Cornell University (US)
  • Addenbrooke's Hospital (GB)
  • Centro di Riferimento Oncologico (IT)
  • Department of Dermatology, General Hospital Salzburg, Salzburg, Austria
  • University of Regensburg (DE)
  • Keio University (JP)
ORCID
Venue
Journal of Telemedicine and Telecare
Publisher
SAGE Publications
Published
2000-06-01
Volume
6
Issue
3
Pages
132-137
ISSN
  • 1357-633X (ISSN-L)
  • 1758-1109
DOI
10.1258/1357633001935202
OpenAlex
W2063029942
Cited by
136
References
0
Citations by year
2025: 2 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 5 · 2020: 5 · 2019: 1 · 2018: 7 · 2017: 4 · 2016: 6 · 2015: 2 · 2014: 4 · 2013: 4 · 2012: 5
FWCI
3.09
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Journal of Telemedicine and Telecare (publishedVersion)
  • PubMed (publishedVersion)
  • University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Keywords
teledermoscopy, dermoscopy, pigmented skin lesions, telediagnosis, melanoma, melanocytic naevi, basal cell carcinoma, lentigines, seborrheic keratosis, angiokeratoma, interobserver agreement, diagnostic accuracy, observer expertise
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Male, Melanoma, Middle Aged, Pigmentation Disorders, Skin Neoplasms, Telemetry, Telemedicine, Keratosis, Seborrheic

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