A fractal analysis of skin pigmented lesions using the novel tool of the variogram technique

The incidence of the cutaneous malignant melanoma is increasing rapidly in the world [Ferlay J, Bray F, Pisani P, et al. GLOBOCAN 2000: Cancer incidence, mortality and prevalence worldwide, Version 1.0 IARC Cancer Base no. 5. Lyon: IARC Press, 2001]. The therapeutic address requires a method having high sensitivity and capability to diagnose such disease at an early stage. We introduce a new diagnostic method based on non-linear methodologies. In detail we suggest that fractal as well as noise and chaos dynamics are the most important components responsible for genetic instability of melanocytes. As consequence we introduce the new technique of the variogram and of fractal analysis extended to the whole regions of interest of skin in order to obtain parameters able to identify the malignant lesion. In a preliminary analysis, satisfactory results are reached.

[1]  M. Oliviero,et al.  Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study. , 2001, Journal of the American Academy of Dermatology.

[2]  Renato Marchesini,et al.  Automated melanoma detection: multispectral imaging and neural network approach for classification. , 2003, Medical physics.

[3]  K Wolff,et al.  In vivo epiluminescence microscopy of pigmented skin lesions. II. Diagnosis of small pigmented skin lesions and early detection of malignant melanoma. , 1987, Journal of the American Academy of Dermatology.

[4]  H. Voigt,et al.  Computer vision and digital imaging technology in melanoma detection. , 2002, Seminars in oncology.

[5]  E. Claridge,et al.  Spectrophotometric intracutaneous analysis: a new technique for imaging pigmented skin lesions , 2002, The British journal of dermatology.

[6]  Martin F. Mihm,et al.  What is new in melanoma research: genetics and epidemiology of melanoma in 2003? Review of a workshop held in Milan in May 2003 , 2004, Melanoma research.

[7]  G Pellacani,et al.  Digital videomicroscopy and image analysis with automatic classification for detection of thin melanomas. , 1999, Melanoma research.

[8]  K Wolff,et al.  In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions. , 1987, Journal of the American Academy of Dermatology.

[9]  G. Argenziano,et al.  Noninvasive Imaging of Skin Tumors , 2004, Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.].

[10]  A. Green,et al.  Computer image analysis in the diagnosis of melanoma. , 1994, Journal of the American Academy of Dermatology.

[11]  M. G. Fleming,et al.  Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. , 2003, Journal of the American Academy of Dermatology.

[12]  Gernot Rassner,et al.  Modified ABC-point list of dermoscopy: A simplified and highly accurate dermoscopic algorithm for the diagnosis of cutaneous melanocytic lesions. , 2003, Journal of the American Academy of Dermatology.

[13]  E Claridge,et al.  Shape analysis for classification of malignant melanoma. , 1992, Journal of biomedical engineering.

[14]  R Hofmann-Wellenhof,et al.  Tissue counter analysis of dermatoscopic images of melanocytic skin tumours: preliminary findings , 2002, Melanoma research.

[15]  A. Green,et al.  Computer image analysis of pigmented skin lesions , 1991, Melanoma research.

[16]  Margaret Oliviero,et al.  Current technologies for the in vivo diagnosis of cutaneous melanomas. , 2004, Clinics in dermatology.

[17]  R Marchesini,et al.  Optical imaging and automated melanoma detection: questions and answers , 2002, Melanoma research.

[18]  Shen Wei,et al.  Multidimensional Self-Affine Distribution with Application in Geochemistry , 2002 .

[19]  S. Menzies.  An atlas of surface microscopy of pigmented skin lesions , 1996 .

[20]  C Bartoli,et al.  Results obtained by using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma , 1992, Melanoma research.

[21]  P. Carli,et al.  Improvement of malignant/benign ratio in excised melanocytic lesions in the ‘dermoscopy era’: a retrospective study 1997–2001 , 2004, The British journal of dermatology.

[22]  G. Argenziano,et al.  Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. , 1998, Archives of dermatology.