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Australasian Journal of Dermatology
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Article . 2018
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Article . 2018
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Efficacy of smartphone applications in high‐risk pigmented lesions

Authors: Ngoo, Alexander; Finnane, Anna; McMeniman, Erin; Tan, Jean-Marie; Janda, Monika; Soyer, H. Peter;

Efficacy of smartphone applications in high‐risk pigmented lesions

Abstract

AbstractBackground/ObjectivesMelanoma apps are smartphone applications that assess risk of pigmented lesions using a smartphone camera and underlying algorithm. We aimed to assess the capability of melanoma smartphone applications (apps) in making clinical decisions about risk, compared with lesion assessment by specialist trained dermatologists.MethodsA prospective study of 3 melanoma apps was conducted between 2015 and 2016, recruiting 30 patients with 57 pigmented lesions. Risk categories assigned by the apps were compared with the clinical decisions of two consultant dermatologists classifying lesions as ‘suspicious’ or ‘benign’.ResultsOf the 42 lesions deemed clinically suspicious to a dermatologist, from 9 to 26 were classified as suspicious by the apps; of the 15 clinically benign lesions 3 to 15 were correctly classified as benign by the apps. The apps’ sensitivity and specificity ranged from 21 to 72% and 27 to 100.0%, respectively, when compared with the specialists’ decisions. Two apps were unable to analyse 14 and 18% of lesions submitted, respectively. Interrater agreement between dermatologists and apps was poor (κ = −0.01 SE = 0.16; P = 0.97) to slight (κ = 0.16 SE = 0.09; P = 0.12).ConclusionsNone of the melanoma apps tested had high enough agreement with the dermatologist's clinical opinion to be considered to provide additional benefit to patients in assessing their skin for high‐risk pigmented lesions. The low sensitivity in detecting lesions that are suspicious to a trained specialist may mean false reassurance is being given to patients. Development of highly sensitive and specific melanoma apps remains a work in progress.

Country
Australia
Keywords

Adult, Aged, 80 and over, Male, Observer Variation, Skin Neoplasms, 610, Dermatology, Middle Aged, Mobile Applications, Risk Assessment, Sensitivity and Specificity, 2708 Dermatology, Telehealth, 616, Image Interpretation, Computer-Assisted, Photography, Humans, Female, Prospective Studies, Smartphone, Melanoma, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 10%
Top 10%
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