BACKGROUND: Accurate diagnosis and management of pigmented lesions is critical because of the morbidity and mortality associated with melanoma. OBJECTIVE: We sought to compare accuracy of store-and-forward teledermatology for pigmented neoplasms with standard, in-person clinic dermatology. METHODS: We conducted a repeated measures equivalence trial involving veterans with pigmented skin neoplasms. Each lesion was evaluated by a clinic dermatologist and a teledermatologist; both generated a primary diagnosis, up to two differential diagnoses, and a management plan. The primary outcome was aggregated diagnostic accuracy (match of any chosen diagnosis with histopathology). We also compared the severity of inappropriately managed lesions and, for teledermatology, evaluated the incremental change in accuracy when polarized light dermatoscopy or contact immersion dermatoscopy images were viewed. RESULTS: We enrolled 542 patients with pigmented lesions, most were male (96%) and Caucasian (97%). The aggregated diagnostic accuracy rates for teledermatology (macro images, polarized light dermatoscopy, and contact immersion dermatoscopy) were not equivalent (95% confidence interval for difference within +/-10%) and were inferior (95% confidence interval lower bound <10%) to clinic dermatology. In general, the addition of dermatoscopic images did not significantly change teledermatology diagnostic accuracy rates. In contrast to diagnostic accuracy, rates of appropriate management plans for teledermatology were superior and/or equivalent to clinic dermatology (all image types: all lesions, and benign lesions). However, for the subgroup of malignant lesions (n = 124), the rate of appropriate management was significantly worse for teledermatology than for clinic dermatology (all image types). Up to 7 of 36 index melanomas would have been mismanaged via teledermatology. LIMITATIONS: Nondiverse study population and relatively small number of melanomas were limitations. CONCLUSIONS: In general, the diagnostic accuracy of teledermatology was inferior whereas management was equivalent to clinic dermatology. However, for the important subgroup of malignant pigmented lesions, both diagnostic and management accuracy of teledermatology was generally inferior to clinic dermatology and up to 7 of 36 index melanomas would have been mismanaged via teledermatology. Teledermatology and teledermatoscopy should be used with caution for patients with suspected malignant pigmented lesions.
BACKGROUND: Accurate diagnosis and management of pigmented lesions is critical because of the morbidity and mortality associated with melanoma. OBJECTIVE: We sought to compare accuracy of store-and-forward teledermatology for pigmented neoplasms with standard, in-person clinic dermatology. METHODS: We conducted a repeated measures equivalence trial involving veterans with pigmented skin neoplasms. Each lesion was evaluated by a clinic dermatologist and a teledermatologist; both generated a primary diagnosis, up to two differential diagnoses, and a management plan. The primary outcome was aggregated diagnostic accuracy (match of any chosen diagnosis with histopathology). We also compared the severity of inappropriately managed lesions and, for teledermatology, evaluated the incremental change in accuracy when polarized light dermatoscopy or contact immersion dermatoscopy images were viewed. RESULTS: We enrolled 542 patients with pigmented lesions, most were male (96%) and Caucasian (97%). The aggregated diagnostic accuracy rates for teledermatology (macro images, polarized light dermatoscopy, and contact immersion dermatoscopy) were not equivalent (95% confidence interval for difference within +/-10%) and were inferior (95% confidence interval lower bound <10%) to clinic dermatology. In general, the addition of dermatoscopic images did not significantly change teledermatology diagnostic accuracy rates. In contrast to diagnostic accuracy, rates of appropriate management plans for teledermatology were superior and/or equivalent to clinic dermatology (all image types: all lesions, and benign lesions). However, for the subgroup of malignant lesions (n = 124), the rate of appropriate management was significantly worse for teledermatology than for clinic dermatology (all image types). Up to 7 of 36 index melanomas would have been mismanaged via teledermatology. LIMITATIONS: Nondiverse study population and relatively small number of melanomas were limitations. CONCLUSIONS: In general, the diagnostic accuracy of teledermatology was inferior whereas management was equivalent to clinic dermatology. However, for the important subgroup of malignant pigmented lesions, both diagnostic and management accuracy of teledermatology was generally inferior to clinic dermatology and up to 7 of 36 index melanomas would have been mismanaged via teledermatology. Teledermatology and teledermatoscopy should be used with caution for patients with suspected malignant pigmented lesions.
Authors: Laura K Ferris; Burkhard Jansen; Jonhan Ho; Klaus J Busam; Kenneth Gross; Doyle D Hansen; John P Alsobrook; Zuxu Yao; Gary L Peck; Pedram Gerami Journal: JAMA Dermatol Date: 2017-07-01 Impact factor: 10.282
Authors: Zachary A Carter; Shauna Goldman; Kristen Anderson; Xiaxiao Li; Linda S Hynan; Benjamin F Chong; Arturo R Dominguez Journal: JAMA Dermatol Date: 2017-07-01 Impact factor: 10.282
Authors: Daniel M O'Connor; Olivia S Jew; Marissa J Perman; Leslie A Castelo-Soccio; Flaura K Winston; Patrick J McMahon Journal: JAMA Dermatol Date: 2017-12-01 Impact factor: 10.282
Authors: Rashid L Bashshur; Gary W Shannon; Trilokraj Tejasvi; Joseph C Kvedar; Michael Gates Journal: Telemed J E Health Date: 2015-09-22 Impact factor: 3.536
Authors: Anne Marchetti; Stephane Dalle; Delphine Maucort-Boulch; Mona Amini-Adl; Sébastien Debarbieux; Nicolas Poulalhon; Marie Perier-Muzet; Alice Phan; Luc Thomas Journal: Dermatol Pract Concept Date: 2020-06-29
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Matthew J Grainge; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04