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An integrated clinical‐dermoscopic risk scoring system for the differentiation between early melanoma and atypical nevi: the iDScore.
- Source :
- Journal of the European Academy of Dermatology & Venereology; Dec2018, Vol. 32 Issue 12, p2162-2170, 9p
- Publication Year :
- 2018
-
Abstract
- Background: Dermoscopy revealed to be extremely useful in the diagnosis of early melanoma, the most important limitation being its subjectivity in giving a final diagnosis. To overcome this problem, several algorithms and checklists have been proposed. However, they generally demonstrated modest level of diagnostic accuracy, unsatisfactory concordance between dermoscopists and/or poor specificity. Objective: To test a new methodological approach for the differentiation between early melanoma and atypical nevi, based on an integrated clinical‐anamnestic dermoscopic risk scoring system (iDScore). Methods: We selected a total of 435 standardized dermoscopic images of clinically atypical melanocytic skin lesion (MSL) excised in the suspect of malignancy (i.e. 134 early melanomas – MM – and 301 atypical nevi). Data concerning patient age and sex and lesion dimension and site were collected. A scoring classifier was designed based on this data set integrated with the dermoscopic evaluations performed by three experts blinded to histological diagnosis. Results: A total of seven dermoscopic structures, three age groups (30–40 years, 41–60 years and >60 years), two maximum diameter categories (5–10 mm and >10 mm) and three body areas (i.e. frequently, chronically and seldom photoexposed sites) were selected by the scoring classifier as interdependently significant variables. The total risk score (S) of a lesion resulted from the simple sum of partial scores assigned to each selected variable. The iDScore‐aided diagnosis showed an high accuracy (receiver operating characteristic‐area under the curve = 0.903; IC: 95% = 0.887–0.918). A risk‐based criticality scale corresponding to different S ranges was proposed. Conclusion: The iDScore checklist is proposed as a feasible and efficient tool to support dermatologists in non‐invasive differentiation between atypical nevi and early MM on the basis of few selected clinical‐anamnestic data and standardized dermoscopic features. [ABSTRACT FROM AUTHOR]
- Subjects :
- MELANOMA
ATYPICAL mycobacteria
DERMATOLOGY
HISTOLOGY
INVASIVE diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 09269959
- Volume :
- 32
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Journal of the European Academy of Dermatology & Venereology
- Publication Type :
- Academic Journal
- Accession number :
- 133284674
- Full Text :
- https://doi.org/10.1111/jdv.15106