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J Eur Acad Dermatol Venereol ; 32(6): 1038-1043, 2018 Jun.
Article in English | MEDLINE | ID: mdl-28850732

ABSTRACT

BACKGROUND: The incidence of melanoma and non-melanoma skin cancer is increasing, which has also lead to an increase in referrals between primary health care (PHC) and dermatology departments, putting a strain on healthcare services. Teledermoscopy (TDS) referrals from PHC can improve the triage process for patients with suspicious skin tumours, but the quality of the images included could potentially affect its usefulness. OBJECTIVE: To critically appraise the quality of the dermoscopic images of a smartphone TDS system, by comparing the TDS referral images with images of the same tumours acquired at the department of dermatology. METHODS: Two dermatologists rated the image quality of two image sets from 172 skin tumours separately. The dermatologists also decided on a main diagnosis, differential diagnoses and described the visible dermoscopic structures. RESULTS: The images acquired in PHC were rated as having slightly lower quality, but there was no significant difference. PHC images and dermatology images were of intermediate-to-high quality in 95.5%-97.7% and 96.5%-98.8%, respectively. There was no difference in agreement between the TDS diagnosis based on the two image sets with the final clinical or histopathological diagnosis. Most image pairs (81.4% and 83.7%) received the same main diagnosis by the two evaluators. When this was not the case, the most common reasons were poor focus, excessive pressure applied when acquiring the image or inadequate amount of zoom. CONCLUSION: TDS performed in PHC with a smartphone-based system does not seem to negatively affect the usefulness of TDS referrals. Thus, physicians at PHC do not necessarily need to be trained photographers to ensure adequate TDS image quality. Knowledge about technical difficulties could however be used when training PHC staff, to improve the image quality further.


Subject(s)
Dermoscopy , Image Processing, Computer-Assisted , Melanoma/diagnosis , Skin Neoplasms/diagnosis , Telemedicine , Diagnosis, Differential , Humans , Melanoma/pathology , Observer Variation , Skin Neoplasms/classification , Skin Neoplasms/pathology
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