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
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, ARCH DERMAT, 134(12), 1998, pp. 1563-1570
Objective: To compare the reliability of a new 7-point checklist based on s
implified epiluminescence microscopy (ELM) pattern analysis with the ABCD r
ule of dermatoscopy and standard pattern analysis for the diagnosis of clin
ically doubtful melanocytic skin lesions.
Design: In a blind study, ELM images of 342 histologically proven melanocyt
ic skin lesions were evaluated for the presence of 7 standard criteria that
we called the "ELM 7-point checklist." For each lesion, "overall" and "ABC
D scored" diagnoses were recorded. From a training set of 57 melanomas and
139 atypical non-melanomas, odds ratios were calculated to create a simple
diagnostic model based on identification of major and minor criteria for th
e "7-point scored" diagnosis. A test set of 60 melanomas and 86 atypical no
n-melanomas was used for model validation and was then presented to 2 less
experienced ELM observers, who recorded the ABCD and 7-point scored diagnos
es.
Settings: University medical centers.
Patients: A sample of patients with excised melanocytic lesions.
Main Overcome Measures: Sensitivity, specificity, and accuracy of the model
s for diagnosing melanoma.
Results: From the total combined sets, the 7-point checklist gave a sensiti
vity of 95% and a specificity of 75% compared with 85% sensitivity and 66%
specificity using the ABCD rule and 91% sensitivity and 90% specificity usi
ng standard pattern analysis (overall ELM diagnosis). Compared with the ABC
D rule, the 7-point method allowed less experienced observers to obtain hig
her diagnostic accuracy values.
Conclusions: The ELM 7-point checklist provides a simplification of standar
d pattern analysis because of the low number of features to identify and th
e scoring diagnostic system. As with the ABCD rule, it can be easily learne
d and easily applied and has proven to be reliable in diagnosing melanoma.