Successful triage of patients referred to a skin lesion clinic using teledermoscopy (IMAGE IT trial): Teledermoscopy as triage for skin lesions
Open accessAbstract
BACKGROUND: Teledermatology is a rapidly growing field with studies showing high diagnostic accuracy when compared with face-to-face diagnosis. Teledermoscopy involves the use of epiluminescence microscopy to increase diagnostic accuracy. The utility of teledermoscopy as a triage tool has not been established. OBJECTIVES: To assess teledermoscopy as a triage tool for a hospital skin lesion clinic. METHODS: Patients referred to a dermatology skin lesion clinic were recruited. Digital and dermoscopic photographs were taken of skin lesions of concern and the patients were then seen independently face-to-face by two out of three dermatologists. The digital images were evaluated 4 weeks later, as a teledermoscopy consultation, by two of these dermatologists. The diagnosis and management from both types of consultation were compared. RESULTS: Two hundred patients with a total of 491 lesions were seen. There was excellent agreement between teledermoscopy and face-to-face diagnosis with only 12.3% of lesions having disparate diagnoses of clinical significance. Twelve of 491 (2.4%) lesions appeared to have been under-reported by teledermoscopy when compared with face-to-face diagnosis. However, when histopathology became available, only one malignant lesion had been missed (a basal cell carcinoma diagnosed as solar keratosis) by teledermoscopy. Teledermoscopy approximated 100% sensitivity and 90% specificity for detecting melanoma and nonmelanoma skin cancers. Importantly, 74% of all lesions were determined to be manageable by the general practitioner without needing to be seen face-to-face by a dermatologist. CONCLUSIONS: This use of teledermoscopy as a triage tool offers the potential to shorten waiting lists and thus improve healthcare access and delivery.
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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 [23]
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- Authors
- Tan, E., Yung, A., Jameson, M., Oakley, A., & Rademaker, M.
- Affiliations
- Waikato Hospital (NZ)
- Corresponding author
- Tan, E.
- Venue
- British Journal of Dermatology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-03-05
- Volume
- 162
- Issue
- 4
- Pages
- 803-811
- ISSN
- 0007-0963 (ISSN-L)
- OpenAlex
- W1601786372
- Cited by
- 116
- References
- 4
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 5 · 2023: 10 · 2022: 10 · 2021: 4 · 2020: 8 · 2019: 1 · 2018: 7 · 2017: 6 · 2016: 10 · 2015: 18 · 2014: 6 · 2013: 10
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- British Journal of Dermatology (publishedVersion)
- PubMed (publishedVersion)
- ResearchSpace (University of Auckland) (submittedVersion, cc-by)
- Funders
- Cancer Society of New Zealand
- Waikato Medical Research Foundation
- 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, teledermatology, triage, dermoscopy, melanoma, non-melanoma skin cancer, basal cell carcinoma, actinic keratosis, diagnostic accuracy, general practitioner management, waiting lists
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Dermatology, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Referral and Consultation, Skin Diseases, Triage, Reproducibility of Results, Telemedicine, Early Diagnosis, Young Adult
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