Cited by 50Cutaneous Melanoma Detection and ManagementAI in cancer detectionTelemedicine and Telehealth Implementation

A pilot study of a combined dermoscopic–pathological approach to the telediagnosis of melanocytic skin neoplasms

Ferrara, Gerardo, Argenziano, Giuseppe, Cerroni, Lorenzo, Cusano, Francesco, Di Blasi, Arturo, Urso, Carmelo, Soyer, H Peter·2004·Journal of Telemedicine and Telecare

Abstract

We examined a combined (dermoscopic-pathological) approach to the telediagnosis of melanocytic skin lesions. A store-and-forward teleconsultation was simulated. Dermoscopic and histopathology images from 12 melanocytic lesions were stored in a telepathology workstation. A dermoscopy consultant, a histopathology consultant and an expert in dermoscopic-pathological correlation gave their diagnoses and comments on the images. The consensus diagnosis between two teleconsultants on the original histological slides was regarded as the gold standard. The diagnostic accuracy was 83% (including one false negative diagnosis of malignancy) for teledermoscopy and 100% for teledermatopathology. The combined approach detected one case that showed a much greater atypia on dermoscopy than on histopathology. In this case step-sections of the sample were deemed to be required for definite diagnosis. The combined approach was helpful in detecting macroscopic and microscope sampling errors of melanocytic lesions during teleconsultation.

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Crossref · 10.1258/135763304322764176

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  • A number of malignancies being missed if telemedicine is employed has been documented previously in a small case series.

    “This has been documented previously in a small case series, 61”

    From Telemedicine in dermatology: a randomised controlled trial (2006) · cites this paper as [61]

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Authors
Ferrara, G., Argenziano, G., Cerroni, L., Cusano, F., Di Blasi, A., Urso, C., & Soyer, H. P.
Affiliations
  • Azienda Ospedaliera G.Rummo (IT)
  • University of Campania "Luigi Vanvitelli" (IT)
  • University of Graz (AT)
  • Pathological Anatomy, Gaetano Rummo City Hospital, Benevento, Italy
  • Ospedale Santa Maria Annunziata (IT)
Venue
Journal of Telemedicine and Telecare
Published
2004-02-01
Volume
10
Issue
1
Pages
34-38
ISSN
  • 1357-633X (ISSN-L)
  • 1758-1109
OpenAlex
W2041623424
Cited by
50
References
0
Citations by year
2023: 2 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 3 · 2017: 3 · 2016: 3 · 2015: 3 · 2014: 2 · 2013: 4
FWCI
1.28
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Telemedicine and Telecare (publishedVersion)
  • PubMed (publishedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
Keywords
teledermoscopy, telepathology, diagnostic accuracy, histopathology, sampling error, melanoma diagnosis
MeSH terms
Adolescent, Adult, Aged, Dermatology, Female, Humans, Male, Melanoma, Middle Aged, Pilot Projects, Skin Neoplasms, Telepathology

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