CASH algorithm versus 3-point checklist and its modified version in evaluation of melanocytic pigmented skin lesions: The 4-point checklist

Journal of Dermatology

Volumn 43, Issue 6, 2016, Pages 682-685

  Di Meo, Nicola ^a   Stinco, Giuseppe ^b   Bonin, Serena ^a   Gatti, Alessandro ^c   Trevisini, Sara ^a   Damiani, Giovanni ^a   Vichi, Silvia ^a   Trevisan, Giusto ^b,c  

^a UNIVERSITY OF TRIESTE   (Italy)

^b UNIVERSITY OF UDINE   (Italy)

^c UNIVERSITY HOSPITAL OF TRIESTE   (Italy)

Author keywords

3 point checklist; CASH; dermoscopy; melanocytic nevus; melanoma

Indexed keywords

3 POINT CHECKLIST; 4 POINT CHECKLIST; ADULT; ALGORITHM; ARTICLE; CASH ALGORITHM; CHECKLIST; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DYSPLASTIC NEVUS; EPILUMINESCENCE MICROSCOPY; FEMALE; HISTOPATHOLOGY; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MELANOCYTIC PIGMENTED SKIN LESION; MELANOMA; PIGMENT DISORDER; PIGMENTED NEVUS; SENSITIVITY AND SPECIFICITY; COMPARATIVE STUDY; EVALUATION STUDY; NEVUS, PIGMENTED; SKIN NEOPLASMS; STANDARDS;

ALGORITHMS; CHECKLIST; DERMOSCOPY; HUMANS; MELANOMA; NEVUS, PIGMENTED; SKIN NEOPLASMS;

EID: 84947741556     PISSN: 03852407     EISSN: 13468138     Source Type: Journal    
DOI: 10.1111/1346-8138.13201     Document Type: Article

References (15)

1. Campos-do-Carmo G, Ramos-e-Silva M,. Dermoscopy: basic concepts. Int J Dermatol 2008; 47: 712-719.
2. Unlu E, Akay BN, Erdem C,. Comparison of dermatoscopic diagnostic algorithms based on calculation: the ABCD rule of dermatoscopy, the seven-point checklist, the three-point checklist and the CASH algorithm in dermatoscopic evaluation of melanocytic lesions. J Dermatol 2014; 41: 598-603.
3. Clemente C, Cochran AJ, Elder DE, et al,. Histopathologic diagnosis of dysplastic nevi: concordance among pathologists convened by the World Health Organization Melanoma Programme. Hum Pathol 1991 Apr; 22 (4): 313-9.
4. Henning JS, Stein JA, Yeung J, et al,. CASH algorithm for dermoscopy revisited. Arch Dermatol 2008; 144: 554-555.
5. Soyer HP, Argenziano G, Zalaudek I, et al,. Three-point checklist of dermoscopy. A new screening method for early detection of melanoma. Dermatology 2004; 208: 27-31.
6. Menzies SW, Emery J, Staples M, et al,. Impact of dermoscopy and short-term sequential digital dermoscopy imaging for the management of pigmented lesions in primary care: a sequential intervention trial. Br J Dermatol 2009; 161: 1270-1277.
7. Soyer H, Argenziano G, Chimenti S, et al,. Dermoscopy of pigmented skin lesions. An atlas based on the Consensus Net Meeting on Dermoscopy 2000. Milan: Edra Medical Publishing and New Media, 2001.
8. Carli P, Quercioli E, Sestini S, Stante M, Ricci L, Brunasso G, De Giorgi V,. Pattern analysis, not simplified algorithms, is the most reliable method for teaching dermoscopy for melanoma diagnosis to residents in dermatology. Br J Dermatol 2003; 148: 981-4.
9. Abbas Q, Emre Celebi M, Garcia IF, Ahmad W,. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images. Skin Res Technol 2013; 19: e93-e102.
10. Menzies SW,. Evidence-based dermoscopy. Dermatol Clin 2013; 31: 521-524, vii.
11. Argenziano G, Catricala C, Ardigo M, et al,. Seven-point checklist of dermoscopy revisited. Br J Dermatol 2011; 164: 785-790.
12. Argenziano G, Soyer HP,. Dermoscopy of pigmented skin lesions-a valuable tool for early diagnosis of melanoma. Lancet Oncol 2001; 2: 443-449.
13. Henning JS, Dusza SW, Wang SQ, Marghoob AA, Rabinovitz HS, Polsky D, Kopf AW,. The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy. J Am Acad Dermatol 2007; 56: 45-52.
14. Seidenari S, Pellacani G, Grana C,. Asymmetry in dermoscopic melanocytic lesion images: a computer description based on colour distribution. Acta Derm Venereol 2006; 86: 123-128.
15. Lorentzen HF, Weismann K, Larsen FG,. Structural asymmetry as a dermatoscopic indicator of malignant melanoma-a latent class analysis of sensitivity and classification errors. Melanoma Res 2001; 11: 495-501.