Pattern analysis, not simplified algorithms, is the most reliable method for teaching dermoscopy for melanoma diagnosis to residents in dermatology

Carli, Paolo; Quercioli, Elena; Sestini, Serena; Stante, Marcello; Ricci, Lorenza; Brunasso, Alexandra Maria Giovanna; Giorgi, Vincenzo De

doi:10.1046/j.1365-2133.2003.05023.x

Cited by 117 publications

(97 citation statements)

References 10 publications

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“…Carli et al 17 concluded that pattern analysis is the most reliable diagnostic dermoscopic method and should be taught to trainees in dermatology. This conclusion was based on the finding that pattern analysis showed the best mean diagnostic accuracy.…”

Section: Commentmentioning

confidence: 99%

Comparative Performance of 4 Dermoscopic Algorithms by Nonexperts for the Diagnosis of Melanocytic Lesions

Kelly²,

et al. 2005

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Section: Commentmentioning

confidence: 99%

Comparative Performance of 4 Dermoscopic Algorithms by Nonexperts for the Diagnosis of Melanocytic Lesions

Kelly²,

et al. 2005

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“…In dermoscopy, OPR has already been shown to be more efficacious than the dermoscopy-specific ABCD criteria. 22 In the computerassisted diagnosis of pigmented lesions, recent technology has already integrated the fact that the machine must build its own recognition pattern (OPR) and no longer use an algorithm of criteria derived from the ABCD rule. 19 However, each pigmented lesion is analyzed separately and thus overlooks the ugly duckling sign.…”

Section: Commentmentioning

confidence: 99%

First Prospective Study of the Recognition Process of Melanoma in Dermatological Practice

Gachon¹,

Beaulieu²,

Sei³

et al. 2005

Arch Dermatol

164

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“…Other studies have also evaluated the reproducibility of dermoscopic features of pigmentary lesions with regard to the clinical diagnosis of melanoma. These studies, based on pattern analysis and diagnostic algorithms, provide kappa values for interobserver agreement ranging from 0.52 to 0.55 in a small group of experienced and nonexperienced dermatologists [11], a good interobserver reproducibility (ĸ = 0.53) among 150 clinicians with different expertise in dermoscopy [12] and kappa values ranging from 0.27 to 0.33 in residents [13]. In our study, the kappa values were altogether higher, showing a good intra- and interobserver reproducibility in the dermoscopic examination of CMN.…”

Section: Discussionmentioning

confidence: 99%

Reproducibility of Dermoscopic Features of Congenital Melanocytic Nevi

et al. 2008

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Background: The dermoscopic features of congenital melanocytic nevi (CMN) have recently been described, and some structures have been proposed as distinctive of these moles. Objective: The aim of our study was to evaluate the agreement between observers, i.e. the reproducibility, in the identification of these features. Method: Fifty-two CMN, randomly selected from 127 male subjects carrying at least 1 CMN, were examined by a 1st medium-experienced observer. The image recording was performed according to the dermoscopic patterns of the Consensus Net Meeting on Dermoscopy and to the features proposed for CMN by Seidenari et al. The presence/absence of these features was recorded in a specifically developed patient’s card, and the most typical dermoscopic features of the lesions were also photographed and observed again in this form by the same investigator and by a 2nd basic-experienced observer. The reproducibility of the dermoscopic features assessed directly and on photographs by the 1st observer (intraobserver agreement) and the agreement between the 1st and the 2nd observers judging nevi on photographs (interobserver agreement) were estimated by Cohen’s kappa statistics. Results: Intraobserver agreement was highly satisfactory for all the dermoscopic features, with the exception of focal thickening of network lines and follicles (satisfactory), and hyperpigmented areas and target vessels (fairly satisfactory), which were more frequently identified on Dermaphot pictures. Interobserver agreementwas highly satisfactory for network, globules/dots, blotches, focal hypopigmentation, skin furrow hypopigmentation and follicles; it was satisfactoryfor perifollicular hypopigmentation, vessels and target vessels, and barely satisfactory for focal thickening of network lines, target globules and hyperpigmented areas; finally, it was fairly satisfactory for target network. Conclusion: The identification of dermoscopic features of CMN seems to show a good reproducibility, with a satisfactory intra- and interobserver agreement. Other studies involving a higher number of experienced and less experienced observers are requested to confirm these results.

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Pattern analysis, not simplified algorithms, is the most reliable method for teaching dermoscopy for melanoma diagnosis to residents in dermatology

Abstract: Pattern analysis, i.e. simultaneous assessment of the diagnostic value of all dermoscopy features shown by the lesion, proved to be the most reliable procedure for melanoma diagnosis to be taught to residents in dermatology.

Cited by 117 publications

References 10 publications

Comparative Performance of 4 Dermoscopic Algorithms by Nonexperts for the Diagnosis of Melanocytic Lesions

Comparative Performance of 4 Dermoscopic Algorithms by Nonexperts for the Diagnosis of Melanocytic Lesions

First Prospective Study of the Recognition Process of Melanoma in Dermatological Practice

Reproducibility of Dermoscopic Features of Congenital Melanocytic Nevi

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