Resumen
FONDO:
El melanoma desmoplásico (DM) con frecuencia se diagnostica de forma clínica y a menudo se asocia con melanoma in situ (MIS).
OBJETIVO:
Mejorar la detección de DM mediante dermatoscopia y microscopía confocal de reflectancia (RCM).
MÉTODOS:
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RESULTADOS:
Al menos una de las 14 características específicas del melanoma evaluadas en la dermatoscopia se encontró en el 100% de las DM (n = 15 DM con dermatoscopia). Los predictores de melanoma RCM conocidos se encontraron comúnmente en las DM, como las células pagetoides (100%) y la atipia celular (100%). La característica RCM de las células fusiformes en la dermis superficial fue más común en la DM en comparación con todo el grupo de control de melanoma (OR 3,82; IC del 95%: 1,01 a 14,90), y en particular en comparación con la MIS (OR 5,48; IC del 95%: 1,11-32,36) . Las células nucleadas en la dermis y el RCM se correlacionan con la inflamación dérmica también fueron características significativas de RCM que favorecen la DM en lugar de MIS, así como el melanoma invasivo en MIS.
CONCLUSIÓN:
La dermatoscopia y la RCM pueden ser herramientas útiles para la identificación de la DM. Ciertas características de RCM pueden ayudar a distinguir la DM de MIS y otros melanomas invasivos. Se justifican estudios más amplios.
Fuente: PubMed https://www.ncbi.nlm.nih.gov/pubmed/28573666
Detection of desmoplastic melanoma with dermoscopy and reflectance confocal microscopy.
Abstract
BACKGROUND:
Desmoplastic melanoma (DM) is frequently misdiagnosed clinically and often associated with melanoma in situ (MIS).
OBJECTIVE:
To improve the detection of DM using dermoscopy and reflectance confocal microscopy (RCM).
METHODS:
A descriptive analysis of DM dermoscopy features and a case-control study within a melanoma population for RCM feature evaluation was performed blindly, using data obtained between 2005 and 2015. After retrospectively identifying all DM cases with RCM data over the study period (n = 16), a control group of non-DM melanoma patients with RCM data, in a ratio of at least 3 : 1, was selected. The control group was matched by age and primary tumour site location, divided into non-DM invasive melanomas (n = 27) and MIS (n = 27). Invasive melanomas were selected according to the melanoma subtypes associated with the DM cases. The main outcomes were the frequency of melanoma-specific features on dermoscopy for DM; and the odds ratios of RCM features to distinguish DM from MIS and/or other invasive melanomas; or MIS from the combined invasive melanoma group.
RESULTS:
At least one of the 14 melanoma-specific features evaluated on dermoscopy was found in 100% of DMs (n = 15 DM with dermoscopy). Known RCM melanoma predictors were commonly found in the DMs, such as pagetoid cells (100%) and cell atypia (100%). The RCM feature of spindle cells in the superficial dermis was more common in DM compared with the entire melanoma control group (OR 3.82, 95% CI 1.01-14.90), and particularly compared to MIS (OR 5.48, 95% CI 1.11-32.36). Nucleated cells in the dermis and the RCM correlate of dermal inflammation were also significant RCM features favouring DM over MIS, as well as invasive melanoma over MIS.
CONCLUSION:
Dermoscopy and RCM may be useful tools for the identification of DM. Certain RCM features may help distinguish DM from MIS and other invasive melanomas. Larger studies are warranted.