Resumen
FONDO:
El diagnóstico de cáncer de piel basado en microscopía confocal de reflectancia (RCM) requiere competencia.
OBJETIVOS:
Identificar una lista corta de características RCM clave de los cánceres de piel y probar su utilidad de diagnóstico.
MÉTODOS:
Identificamos las características clave de RCM a través del consenso entre seis expertos que utilizan un método Delphi modificado. Para probar la utilidad diagnóstica de estas características clave de RCM, diez lectores novatos de RCM evaluaron un subconjunto de 100 casos de RCM a partir de un conjunto de datos retrospectivo de neoplasias de piel benignas y malignas.
RESULTADOS:
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CONCLUSIONES:
Una lista corta de terminología de consenso, que identifica las cuatro características clave del RCM para el diagnóstico de cáncer de piel, puede facilitar la diseminación del RCM a los usuarios novatos.
Fuente: PubMed
Reflectance Confocal Microscopy made easy: the four must-know key features for the diagnosis of melanoma and non-melanoma skin cancers.
Abstract
BACKGROUND:
Reflectance confocal microscopy (RCM)-based skin cancer diagnosis requires proficiency.
AIMS:
To identify a shortlist of key RCM features of skin cancers and test their diagnostic utility.
METHODS:
We identified key RCM features through consensus among six experts using a modified-Delphi method. To test diagnostic utility of these RCM key-features, ten novice RCM readers evaluated a subset of 100 RCM cases from a retrospective dataset of benign and malignant skin neoplasms.
RESULTS:
The experts identified 18 RCM features as highly valuable for skin cancer diagnosis, from 56 features reported in the literature. Based on consensus definitions, these RCM features were further clustered into two melanoma-specific key-features - 'atypical cells' and 'dermal-epidermal junction disarray', one basal cell carcinoma (BCC)-specific key-feature - 'basaloid cords/islands', and one squamous cell carcinoma (SCC)-specific key-feature - 'keratinocyte disarray'. The novice reading study showed that the presence of at least one of the four key-feature was associated with an overall sensitivity for skin cancer diagnosis of 91% - with sensitivity for melanoma-93%, BCC-92% and SCC-77%; and an overall specificity of 57%.
CONCLUSIONS:
A consensus terminology shortlist, identifying the four RCM key-features for skin cancer diagnosis, may facilitate dissemination of RCM to novice users.
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