Literature DB >> 25600815

Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review.

A P Kassianos1, J D Emery1,2, P Murchie3, F M Walter1,2.   

Abstract

Smartphone health applications ('apps') are widely available but experts remain cautious about their utility and safety. We reviewed currently available apps for the detection of melanoma (July 2014), aimed at general community, patient and generalist clinician users. A proforma was used to extract and assess each app that met the inclusion criteria, and we undertook content analysis to evaluate their content and the evidence applied in their development. Thirty-nine apps were identified with the majority available only for Apple users. Over half (n = 22) provided information or education about melanoma, ultraviolet radiation exposure prevention advice, and skin self-examination strategies, mainly using the ABCDE (A, Asymmetry; B, Border; C, Colour; D, Diameter; E, Evolving) method. Half (n = 19) helped users take and store images of their skin lesions either for review by a dermatologist or for self-monitoring to identify change, an important predictor of melanoma; a similar number (n = 18) used reminders to help users monitor their skin lesions. A few (n = 9) offered expert review of images. Four apps provided a risk assessment to patients about the probability that a lesion was malignant or benign, and one app calculated users' future risk of melanoma. None of the apps appeared to have been validated for diagnostic accuracy or utility using established research methods. Smartphone apps for detecting melanoma by nonspecialist users have a range of functions including information, education, classification, risk assessment and monitoring change. Despite their potential usefulness, and while clinicians may choose to use apps that provide information to educate their patients, apps for melanoma detection require further validation of their utility and safety.
© 2015 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

Entities:  

Mesh:

Year:  2015        PMID: 25600815     DOI: 10.1111/bjd.13665

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  28 in total

1.  Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems Research.

Authors:  Spiros Kostopoulos; Panagiota Ravazoula; Pantelis Asvestas; Ioannis Kalatzis; George Xenogiannopoulos; Dionisis Cavouras; Dimitris Glotsos
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

2.  Impact of a smartphone application on skin self-examination rates in patients who are new to total body photography: A randomized controlled trial.

Authors:  Andrew J Marek; Emily Y Chu; Michael E Ming; Zeeshan A Khan; Carrie L Kovarik
Journal:  J Am Acad Dermatol       Date:  2018-02-10       Impact factor: 11.527

3.  Assessment of smartphone applications for total body digital photography-guided skin exams by patients.

Authors:  Andrew J Marek; Emily Y Chu; Michael E Ming; Carrie L Kovarik
Journal:  J Am Acad Dermatol       Date:  2016-11       Impact factor: 11.527

4.  [Teledermoscopy by mobile phones : Reliable help in the diagnosis of skin lesions?]

Authors:  A Zink; A Kolbinger; M Leibl; I Léon Suarez; J Gloning; C Merkel; J Winkler; T Biedermann; J Ring; B Eberlein
Journal:  Hautarzt       Date:  2017-11       Impact factor: 0.751

5.  Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy.

Authors:  Michael Phillips; Jack Greenhalgh; Helen Marsden; Ioulios Palamaras
Journal:  Dermatol Pract Concept       Date:  2019-12-31

Review 6.  A roadmap for the clinical implementation of optical-imaging biomarkers.

Authors:  Dale J Waterhouse; Catherine R M Fitzpatrick; Brian W Pogue; James P B O'Connor; Sarah E Bohndiek
Journal:  Nat Biomed Eng       Date:  2019-04-29       Impact factor: 29.234

7.  Smartphone applications for triaging adults with skin lesions that are suspicious for melanoma.

Authors:  Naomi Chuchu; Yemisi Takwoingi; Jacqueline Dinnes; Rubeta N Matin; Oliver Bassett; Jacqueline F Moreau; Susan E Bayliss; Clare Davenport; Kathie Godfrey; Susan O'Connell; Abhilash Jain; Fiona M Walter; Jonathan J Deeks; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

8.  Total skin self-examination at home for people treated for cutaneous melanoma: development and pilot of a digital intervention.

Authors:  Peter Murchie; Julia L Allan; William Brant; Matthew Dennis; Susan Hall; Judith Masthoff; Fiona M Walter; Marie Johnston
Journal:  BMJ Open       Date:  2015-08-06       Impact factor: 2.692

Review 9.  Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review.

Authors:  Yousif Subhi; Sarah Hjartbro Bube; Signe Rolskov Bojsen; Ann Sofia Skou Thomsen; Lars Konge
Journal:  JMIR Mhealth Uhealth       Date:  2015-07-27       Impact factor: 4.773

10.  A Simple Method to Monitor Skin Cancer.

Authors:  Leela Sayed; Nadeem Akhtar
Journal:  Plast Reconstr Surg Glob Open       Date:  2016-03-23
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