Diagnostic image analysis of malignant melanoma in in vivo confocal laser-scanning microscopy: a preliminary study.

Skin Res Technol 2008 Aug;14(3):359-63

Department of Internal Medicine, Division of Oncology, Medical University Graz, Graz, Austria.

Background/purpose: In this study we assessed the applicability of image analysis and a machine learning algorithm on diagnostic discrimination of benign and malignant melanocytic skin tumours in in vivo confocal laser-scanning microscopy (CLSM).

Methods: A total of 857 CLSM tumour images including 408 benign nevi and 449 melanoma images was evaluated. Image analysis was based on features of the wavelet transform. For classification purposes we used a classification tree software (CART). Moreover, automated image analysis results were compared with the prediction success of an independent human observer.

Results: CART analysis of the whole set of CLSM tumour images correctly classified 97.55% and 96.32% of melanoma and nevi images. In contrast, sensitivity and specificity of 85.52% and 80.15% could be reached by the human observer. When the image set was randomly divided into a learning (67% of the images) and a test set (33% of the images), overall 97.31% and 81.03% of the tumour images in the learning and test set could be classified correctly by the CART procedure.

Conclusion: Provided automated decisions can be used as a second opinion. This can be valuable in assisting diagnostic decisions in this new and exciting imaging technique.

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http://dx.doi.org/10.1111/j.1600-0846.2008.00303.xDOI Listing
August 2008
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References

(Supplied by CrossRef)
In vivo confocal scanning laser microscopy of human skin
Rajadhyaksha et al.
1999
Morphologic features of melanocytes, pigmented keratinocytes and melanophages by in vivo confocal scanning laser microscopy (CLSM)
Busam et al.
2001
Detection of intraepidermal malignant melanoma in vivo by confocal scanning laser microscopy
Busam et al.
2001
Confocal scanning laser microscopy of benign and malignant skin lesions in vivo
Langley et al.
2001
Use of in vivo confocal microscopy in malignant melanoma
Curiel-Lewandrowski et al.
2004
In vivo assessment of melanocytic nests in nevi and melanomas by reflectance confocal microscopy
Pellacani et al.
2005
Reflectance-mode confocal microscopy for the in vivo characterization of pagetoid melanocytosis in melanomas and nevi
Pellacani et al.
2005
Bringing histology to the bedside
Halpern et al.
2005
Melanoma diagnosis by confocal microscopy
Busam et al.
2005
Diagnostic accuracy of dermoscopy
Kittler et al.
2002
Diagnostic applicability of in vivo confocal laser scanning microscopy in melanocytic skin tumors
Gerger et al.
2005

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