Interrater agreement in rating of pigmented skin lesions for border irregularity

Melanoma Research

Volumn 18, Issue 4, 2008, Pages 284-288

  Gunasti, Suhan ^a   Mulayim, Mehmet Kamil ^a   Fettahloglu, Bilge ^a   Yucel, Aydn ^a   Burgut, Refik ^a   Sertdemir, Yasar ^a   Aksungur, Varol Lutfu ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

Author keywords

And diameter; Asymmetry; Border irregularity; Color variegation; Interrater reliability; Pigmented skin lesions

Indexed keywords

ARTICLE; CLINICAL FEATURE; CONSENSUS; HUMAN; IMAGE ANALYSIS; INTERRATER RELIABILITY; NURSE; PRIORITY JOURNAL; RATING SCALE; RESIDENT; SKIN DEFECT; SKIN PIGMENTATION; STUDENT; TEACHER; MELANOMA; OBSERVER VARIATION; PATHOLOGY; PIGMENTED NEVUS; SKIN; SKIN DISEASE; SKIN TUMOR;

HUMANS; MELANOMA; NEVUS, PIGMENTED; OBSERVER VARIATION; SKIN; SKIN DISEASES; SKIN NEOPLASMS;

EID: 58149389599     PISSN: 09608931     EISSN: None     Source Type: Journal    
DOI: 10.1097/CMR.0b013e328307c25a     Document Type: Article

References (23)

1. Friedman RJ, Rigel DS, Kopf AW. Early detection of malignant melanoma: the role of physician examination and self-examination of the skin. CA Cancer J Clin 1985; 35:130-151.
2. MacKie RM. Clinical recognition of early invasive malignant melanoma. Br Med J 1990; 301:1005-1006.
3. Abbasi NR, Shaw HM, Rigel DS, Friedman RJ, McCarthy WH, Osman I, et al. Early diagnosis of cutaneous melanoma: revisiting the ABCD criteria. Clin Exp Dermatol 2005; 30:707.
4. Hazen BP, Bhatia AC, Zaim T, Brodell RT. The clinical diagnosis of early malignant melanoma: expansion of the ABCD criteria to improve diagnostic sensitivity. Dermatology online journal available at: http:// dermatology.cdlib.org/. Accessed 28 May 2007.
5. Meyer LJ, Piepkorn M, Goldgar DE, Lewis CM, Cannon-Albright LA, Zone JJ, et al. Interobserver concordance in discriminating clinical atypia of melanocytic nevi, and correlations with histologic atypia. J Am Acad Dermatol 1996; 34:618-625.
6. Kraemer HC. Correlation coefficients in medical research: from product moment correlation to the odds ratio. Stat Method Med Res 2006; 15:525-545.
7. Grizzi F, Franceschini B, Chiriva-Internati M, Hermonat PL, Shah G, Muzzio PC, Dioguardi N. The complexity and the microscopy in the anatomical sciences. In: Vilas-Mèndez A, editor. Science, technology and education of microscopy: an overview. Spain: Formatex; 2003. pp. 396-404.
8. Piantanelli A, Maponi P, Scalise L, Serresi S, Cialabrini A, Basso A. Fractal characterization of boundary irregularity in skin pigmented lesions. Med Biol Eng Comput 2005; 43:436-442.
9. Chamberlain AJ, Fritschi L, Kelly JW. Nodular melanoma: patients' perceptions of presenting features and implications for earlier detection. J Am Acad Dermatol 2003; 48:694-701.
10. Carli P, De Giorgi V, Palli D, Maurichi A, Mulas P, Orlandi C, et al. Self-detected cutaneous melanomas in Italian patients. Clin Exp Dermatol 2004; 29:593-596.
11. Bränström R, Hedblad MA, Krakau I, Ullen H. Laypersons' perceptual discrimination of pigmented skin lesions. J Am Acad Dermatol 2002; 46:667-673.
12. Fox GN. ABCD-EFG for diagnosis of melanoma. Clin Exp Dermatol 2005; 30:707.
13. Gachon J, Beaulieu P, Sei JF, Gouvernet J, Claudel JP, Lemaitre M, et al. First Prospective Study of the recognition process of melanoma in dermatological practice. Arch Dermatol 2005; 141:434-438.
14. Girardi S, Gaudy C, Gouvernet J, Teston J, Richard MA, Grob JJ. Superiority of a cognitive education with photographs over ABCD criteria in the education of the general population to the early detection of melanoma: a randomized study. Int J Cancer 2006; 118:2276-2280.
15. Muhn CY, From L, Glied M. Detection of artificial changes in mole size by skin self-examination. J Am Acad Dermatol 2000; 42:754-759.
16. Geary DC. Sex differences in mathematical abilities: commentary on the math-fact retrieval hypothesis. Contemp Educ Psychol 1999; 24:267-274.
17. Robinson JK, Turrisi R. Skills training to learn discrimination of ABCDE criteria by those at risk of developing melanoma. Arch Dermatol 2006; 142:447-452.
18. Lee TK, McLean DI, Atkins MS. Irregularity index: a new border irregularity measure for cutaneous melanocytic lesions. Med Image Anal 2003; 7:47-64.
19. Celebi ME, Kingravi HA, Uddin B, Iyatomi H, Aslandogan YA, Stoecker WV, Moss RH. A methodological approach to the classification of dermoscopy images. Comput Med Imaging Graph 2007; 31:362-373.
20. Manousaki AG, Manios AG, Tsompanaki EI, Panayiotides JG, Tsiftsis DD, Kostaki AK, et al. A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit. A preliminary report. Int J Dermatol 2006; 45:402-410.
21. Bono A, Tomatis S, Bartoli C, Tragni G, Radaelli G, Maurichi A, et al. The ABCD system of melanoma detection a spectrophotometric analysis of the asymmetry, border, color, and dimension. Cancer 1999; 85:72-77.
22. 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.
23. Lee TK, Claridge E. Predictive power of irregular border shapes for malignant melanomas. Skin Res Technol 2005; 11:1-8.