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

Skin Research and Technology

Volumn 14, Issue 3, 2008, Pages 359-363

  Gerger, Armin ^a   Wiltgen, Marco ^a   Langsenlehner, Uwe ^a   Richtig, Erika ^a   Horn, Michael ^a   Weger, Wolfgang ^a   Ahlgrimm Siess, Verena ^a   Hofmann Wellenhof, Rainer ^a   Samonigg, Hellmut ^a   Smolle, Josef ^a  

^a MEDICAL UNIVERSITY OF GRAZ   (Austria)

Author keywords

Classification procedure; Confocal microscopy; Image analysis; Melanocytic skin tumours

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CONFOCAL MICROSCOPY; EDUCATION; HEALTH; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; LASERS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MICROSCOPIC EXAMINATION; PHOTORESISTS; PULSED LASER DEPOSITION; SCANNING; SENSITIVITY ANALYSIS; TESTING; WAVELET TRANSFORMS;

AUTOMATED IMAGE ANALYSIS; BENIGN NEVUS; CART ANALYSIS; CLASSIFICATION TREES; CONFOCAL LASER-SCANNING; DIAGNOSTIC DECISIONS; HUMAN OBSERVERS; IMAGE SETS; IN-VIVO; MACHINE LEARNING ALGORITHMS; MALIGNANT MELANOMAS; MELANOMA (MM); SENSITIVITY AND SPECIFICITY; TEST SETS; TUMOURS;

TUMORS;

ARTICLE; AUTOANALYSIS; CANCER DIAGNOSIS; CLASSIFICATION ALGORITHM; COMPUTER PROGRAM; CONFOCAL LASER MICROSCOPY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IN VIVO STUDY; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MELANOCYTIC NEVUS; MELANOMA; OBSERVATIONAL STUDY; SENSITIVITY AND SPECIFICITY; SKIN TUMOR; TUMOR CLASSIFICATION;

ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; DERMOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MELANOMA; MICROSCOPY, CONFOCAL; PATTERN RECOGNITION, AUTOMATED; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 48249118854     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2008.00303.x     Document Type: Article

References (21)

1. Rajadhyaksha M, Gonzalez S, Zavislan JM, Anderson RR, Webb RH. In vivo confocal scanning laser microscopy of human skin: Advances in instrumentation and comparison with histology. J Invest Dermatol 1999; 113: 293-303.
2. Busam KJ, Charles C, Lee G, Halpern AC. Morphologic features of melanocytes, pigmented keratinocytes and melanophages by in vivo confocal scanning laser microscopy (CLSM). Mod Pathol 2001; 14: 862-868.
3. Busam KJ, Charles C, Lohmann CM, Marghoob A, Goldgeier M, Halpern AC. Detection of intraepidermal malignant melanoma in vivo by confocal scanning laser microscopy. Melanoma Res 2001; 12: 349-355.
4. Langley RG, Rajadhyaksha M, Dwyer PJ, Sober AJ, Flotte TJ, Anderson RR. Confocal scanning laser microscopy of benign and malignant skin lesions in vivo. J Am Acad Dermatol 2001; 45: 365-376.
5. Curiel-Lewandrowski C, Williams C, Swindells K, Tahan SR, Astner S, Frankenthaler RA, Gonzalez S. Use of in vivo confocal microscopy in malignant melanoma. Arch Dermatol 2004; 140: 1127-1132.
6. Pellacani G, Cesinaro AM, Seidenari S. In vivo assessment of melanocytic nests in nevi and melanomas by reflectance confocal microscopy. Mod Pathol 2005; 18: 469-474.
7. Pellacani G, Cesinaro AM, Seidenari S. Reflectance-mode confocal microscopy for the in vivo characterization of pagetoid melanocytosis in melanomas and nevi. J Invest Dermatol 2005; 125: 532-537.
8. Halpern AC, Rajadhyaksha M, Toledo-Crow R. Bringing histology to the bedside. J Invest Dermatol 2005; 124: Viii-ix.
9. Busam KJ, Marghoob AA, Halpern AC. Melanoma diagnosis by confocal microscopy: Promise and pitfalls. J Invest DeVmatol 2005; 125: vii.
10. Kittler H, Pehamberger H, Wolff K, Binder M. Diagnostic accuracy of dermoscopy. Lancet Oncol 2002; 3: 159-165.
11. Gerger A, Koller S, Kern T, Massone C, Steiger K, Richtig E, Kerl H, Smolle J. Diagnostic applicability of in vivo confocal laser scanning microscopy in melanocytic skin tumors. J Invest Dermatol 2005; 24: 493-498.
12. Pellacani G, Cesinaro AM, Seidenari S. Reflectance-mode confocal microscopy of pigmented skin lesions-improvement in melanoma diagnostic specificity. J Am Acad Dermatol 2005; 53: 979-985.
13. Gerger A, Koller S, Weger W, Richtig E, Kerl H, Samonigg H, Krippl P, Smolle J. Sensitivity and specificity of confocal laser-scanning microscopy for in vivo diagnosis of malignant skin tumors. Cancer 2006; 107: 193-200.
14. Erkol B, Moss RH, Stanley RJ, Stoecker WV, Hvatum E. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes. Skin Res Technol 2005; 11: 17-26.
15. Menzies SW, Bischof L, Talbot H et al. The performance of SolarScan: An automated dermoscopy image analysis instrument for the diagnosis of primary melanoma. Arch Dermatol 2005; 141: 1388-1396.
16. She Z, Liu Y, Damatoa A. Combination of features from skin pattern and ABCD analysis for lesion classification. Skin Res Technol 2007; 13: 25-33.
17. Stanley RJ, Stoecker WV, Moss RH. A relative color approach to color discrimination for malignant melanoma detection in dermoscopy images. Skin Res Technol 2007; 13: 62-72.
18. Steiner A, Pehamberger H, Wolff K. In vivo epiluminescence microscopy of pigmented skin lesions. II. Diagnosis of small pigmented skin lesions and early detection of malignant melanoma. J Am Acad Dermatol 1987; 17: 584-591.
19. Pehamberger H, Steiner A, Wolff K. In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions. J Am Acad Dermatol 1987; 17: 571-583.
20. Wiltgen M, Gerger A, Wagner C, Smolle J. Automatic identification of diagnostic significant regions in confocal laser scanning microscopy of melanocytic skin tumors. Methods Inf Med 2008; 47: 14-25.
21. Steinberg D, Colla P. CART. Tree-structured non-parametric data analysis. San Diego: Salford Systems, 1995.