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dc.contributor.authorJanda, Monika
dc.contributor.authorHorsham, Caitlin
dc.contributor.authorVagenas, Dimitrios
dc.contributor.authorLoescher, Lois J
dc.contributor.authorGillespie, Nicole
dc.contributor.authorKoh, Uyen
dc.contributor.authorCuriel-Lewandrowski, Clara
dc.contributor.authorHofmann-Wellenhof, Rainer
dc.contributor.authorHalpern, Allan
dc.contributor.authorWhiteman, David C
dc.contributor.authorWhitty, Jennifer A
dc.contributor.authorSmithers, B Mark
dc.contributor.authorSoyer, H Peter
dc.date.accessioned2020-11-07T02:47:10Z
dc.date.available2020-11-07T02:47:10Z
dc.date.issued2020-02-20
dc.identifier.citationJanda, M., Horsham, C., Vagenas, D., Loescher, L. J., Gillespie, N., Koh, U., ... & Soyer, H. P. (2020). Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trial. The Lancet Digital Health, 2(3), e129-e137.en_US
dc.identifier.issn2589-7500
dc.identifier.doi10.1016/s2589-7500(20)30001-7
dc.identifier.urihttp://hdl.handle.net/10150/648163
dc.description.abstractBackground Skin self-examinations supplemented with mobile teledermoscopy might improve early detection of skin cancers compared with naked-eye skin self-examinations. We aimed to assess whether mobile teledermoscopy-enhanced skin self-examination can improve sensitivity and specificity of self-detection of skin cancers when compared with naked-eye skin self-examination. Methods This randomised, controlled trial was done in Brisbane (QLD, Australia). Eligible participants (aged >= 18 years) had at least two skin cancer risk factors as self-reported in the eligibility survey and had to own or have access to an iPhone compatible with a dermatoscope attachment (iPhone versions 5-8). Participants were randomly assigned (1:1), via a computer-generated randomisation procedure, to the intervention group (mobile dermoscopy-enhanced self-skin examination) or the control group (naked-eye skin self-examination). Control group and intervention group participants received web-based instructions on how to complete a whole body skin self-examination. All participants completed skin examinations at baseline, 1 month, and 2 months; intervention group participants submitted photographs of suspicious lesions to a dermatologist for telediagnosis after each skin examination and control group participants noted lesions on a body chart that was sent to the research team after each skin examination. All participants had an in-person whole-body clinical skin examination within 3 months of their last skin self-examination. Primary outcomes were sensitivity and specificity of skin self-examination, patient selection of clinically atypical lesions suspicious for melanoma or keratinocyte skin cancers (body sites examined, number of lesions photographed, types of lesions, and lesions missed), and diagnostic concordance of telediagnosis versus in-person whole-body clinical skin examination diagnosis. All primary outcomes were analysed in the modified intention-to-treat population, which included all patients who had a clinical skin examination within 3 months of their last skin self-examination. This trial was registered with the Australian and New Zealand Clinical Trials Registry, ACTRN12616000989448. Findings Between March 6, 2017, and June 7, 2018, 234 participants consented to enrol in the study, of whom 116 (50%) were assigned to the intervention group and 118 (50%) were assigned to the control group. 199 participants (98 participants in the intervention group and 101 participants in the control group) attended the clinical skin examination and thus were eligible for analyses. Participants in the intervention group submitted 615 lesions (median 6.0 per person; range 1-24) for telediagnosis and participants in the control group identified and recorded 673 lesions (median 6.0 per person; range 1-16). At the lesion level, sensitivity for lesions clinically suspicious for skin cancer was 75% (95% CI 63-84) in the intervention group and 88% (95% CI 80-91) in the control group (p=0.04). Specificity was 87% (95% CI 85-90) in the intervention group and 89% (95% CI 87-91) in the control group (p=0.42). At the individual level, the intervention group had a sensitivity of 87% (95% CI 76-99) compared with 97% (95% CI 91-100) in the control group (p=0.26), and a specificity of 95% (95% CI 90-100) compared with 96% (95% CI 91-100) in the control group. The overall diagnostic concordance between the telediagnosis and in-person clinical skin examination was 88%. Interpretation The use of mobile teledermoscopy did not increase sensitivity for the detection of skin cancers compared with naked-eye skin self-examination; thus, further evidence is necessary for inclusion of skin self-examination technology for public health benefit. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.en_US
dc.description.sponsorshipNational Health and Medical Research Councilen_US
dc.language.isoenen_US
dc.publisherELSEVIERen_US
dc.rights© 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleAccuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trialen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Coll Nursing, Mel & Enid Zuckerman Coll Publ Hlthen_US
dc.contributor.departmentUniv Arizona, Coll Publ Hlth, Mel & Enid Zuckerman Coll Publ Hlthen_US
dc.contributor.departmentUniv Arizona, Canc Ctren_US
dc.identifier.journalLANCET DIGITAL HEALTHen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleThe Lancet Digital Health
dc.source.volume2
dc.source.issue3
dc.source.beginpagee129
dc.source.endpagee137
refterms.dateFOA2020-11-07T02:47:25Z


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© 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license.
Except where otherwise noted, this item's license is described as © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license.