Successful triage of patients referred to a skin lesion clinic using teledermoscopy (IMAGE IT trial)
Year: 2010
Type: article
Abstract: 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.
Source: British Journal of Dermatology
Authors: E. Tan, A. Yung, M. Jameson, A. Oakley, M. Rademaker
Institution: Waikato Hospital
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W1601786372