Literature DB >> 25087492

Accuracy of a smartphone application using fractal image analysis of pigmented moles compared to clinical diagnosis and histological result.

T Maier1, D Kulichova, K Schotten, R Astrid, T Ruzicka, C Berking, A Udrea.   

Abstract

BACKGROUND: Lately, various smartphone applications have been introduced as diagnostic self-monitoring tools in the evaluation of pigmented moles, but most of these techniques have not been evaluated systematically.
OBJECTIVES: The purpose of this study was to evaluate prospectively the sensitivity and specificity of a recently developed smartphone application using fractal image analysis for the risk evaluation algorithm in the diagnosis of malignant melanoma compared to clinical diagnosis and histopathological result.
METHODS: Consecutive patients with melanocytic lesions were recruited and clinical and dermoscopical diagnosis was documented by two dermatologists independently. Imaging and analysis with the smartphone application was performed prior to excision of lesions. The findings were compared to the histological results as gold standard.
RESULTS: Of 195 included lesions histopathological analysis revealed 40 melanomas, 42 dysplastic nevi and 113 benign nevi. The sensitivity of the diagnosis melanoma by fractal image analysis using smartphone images was 73%, the specificity was 83% compared to a sensitivity of 88% and specificity of 97% regarding the clinical diagnosis by the dermatologists.
CONCLUSION: The smartphone application using fractal analysis might be a promising tool in the pre-evaluation of pigmented moles by laypersons, while it is to date inferior to the diagnostic evaluation by a dermatologist.
© 2014 European Academy of Dermatology and Venereology.

Entities:  

Mesh:

Year:  2014        PMID: 25087492     DOI: 10.1111/jdv.12648

Source DB:  PubMed          Journal:  J Eur Acad Dermatol Venereol        ISSN: 0926-9959            Impact factor:   6.166


  16 in total

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2.  Medicine: The final frontier in cancer diagnosis.

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Review 3.  The digital age of melanoma management: detection and diagnostics.

Authors:  Alexander L Fogel; Kavita Sarin
Journal:  Melanoma Manag       Date:  2015-11-26

4.  e-Derma - a Novel Wireless Dermatoscopy System.

Authors:  Bogdan Dugonik; A Dugonik; D Horvat; B Žalik; D Špelič
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5.  Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis.

Authors:  Ashley N D Meyer; Pamela J Thompson; Arushi Khanna; Samir Desai; Benji K Mathews; Elham Yousef; Anita V Kusnoor; Hardeep Singh
Journal:  J Am Med Inform Assoc       Date:  2018-07-01       Impact factor: 4.497

6.  Ability and accuracy of the smartphone-based O`VIEW-M® sperm test: Useful tool in the era of Covid-19.

Authors:  Kyu Shik Kim; Ji Hoon Kim; Ji Hyoung Roh; Daegwan Kim; Hyang Mi Kim; Jung Ki Jo
Journal:  PLoS One       Date:  2022-06-16       Impact factor: 3.752

7.  A Review of the Quantification and Classification of Pigmented Skin Lesions: From Dedicated to Hand-Held Devices.

Authors:  Mercedes Filho; Zhen Ma; João Manuel R S Tavares
Journal:  J Med Syst       Date:  2015-09-28       Impact factor: 4.460

8.  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

9.  Cervical cancer screening in low-resource settings: a smartphone image application as an alternative to colposcopy.

Authors:  Caroline Gallay; Anne Girardet; Manuela Viviano; Rosa Catarino; Anne-Caroline Benski; Phuong Lien Tran; Christophe Ecabert; Jean-Philippe Thiran; Pierre Vassilakos; Patrick Petignat
Journal:  Int J Womens Health       Date:  2017-06-22

Review 10.  Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis.

Authors:  Rahel Buechi; Livia Faes; Lucas M Bachmann; Michael A Thiel; Nicolas S Bodmer; Martin K Schmid; Oliver Job; Kenny R Lienhard
Journal:  BMJ Open       Date:  2017-12-14       Impact factor: 2.692

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