Volume 29, Issue 4 pp. 663-667
Original Article

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

T. Maier

Corresponding Author

T. Maier

Department of Dermatology and Allergology, University Hospital of Munich, Munich, Germany

Correspondence: T. Maier. E-mail: [email protected]Search for more papers by this author
D. Kulichova

D. Kulichova

Department of Dermatology and Allergology, University Hospital of Munich, Munich, Germany

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K. Schotten

K. Schotten

Institute of Medical Informatics, Biometry and Epidemiology, University of Munich, Munich, Germany

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R. Astrid

R. Astrid

Department of Dermatology and Allergology, University Hospital of Munich, Munich, Germany

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T. Ruzicka

T. Ruzicka

Department of Dermatology and Allergology, University Hospital of Munich, Munich, Germany

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C. Berking

C. Berking

Department of Dermatology and Allergology, University Hospital of Munich, Munich, Germany

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A. Udrea

A. Udrea

Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Bucharest, Romania

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First published: 04 August 2014
Citations: 75

Conflicts of interest:

T.M. and A.U. have served as consultant to SkinVision B.V. concerning the clinical study protocol. A.U. has served as consultant to SkinVision B.V. concerning the image analysis and classification algorithm. D.K., A.R., K.S., C.B. and T.R. have no conflict of interests to report.

Funding sources:

This study was supported in part by SkinVision B.V. for the design and conduct of the study and by a post-doctoral scholarship (POSDRU/159/1.5/S/138963) to A.U.

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.

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