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Non‐invasive in vivo dermatopathology: identification of reflectance confocal microscopic correlates to specific histological features seen in melanocytic neoplasms
Author(s) -
Gill M.,
Longo C.,
Farnetani F.,
Cesinaro A.M.,
González S.,
Pellacani G.
Publication year - 2014
Publication title -
journal of the european academy of dermatology and venereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 107
eISSN - 1468-3083
pISSN - 0926-9959
DOI - 10.1111/jdv.12285
Subject(s) - dermatopathology , medicine , pathology , lentigo maligna , nevus , melanoma , dermatology , confocal , melanocytic nevus , geometry , mathematics , cancer research
Background Reflectance confocal microscopy ( RCM ) allows for non‐invasive, in vivo evaluation of skin lesions and it has been extensively applied in skin oncology although systematic studies on nevi characterization are still lacking. Objective The aim of this study was to determine whether reliable RCM correlates to histological features used to diagnose melanocytic neoplasms exist. Methods We blindly evaluated the RCM and histological features of 64 melanocytic neoplasms (19 non‐dysplastic nevi, 27 dysplastic nevi, 14 melanomas) and analysed the data using Spearman's rho calculation. Results Many histological features can be identified using RCM . Elongated rete ridges corresponded on RCM to edge papillae, whereas flattened rete ridges to several features which involve dermal–epidermal junction disruption. Bridging of junctional nesting ( JN ) corresponded on RCM to both JN with irregular size/shape and JN with short interconnections. While we could reliably identify dermal melanocytes, the RCM features did not reliably distinguish between benign and concerning dermal melanocytic arrangements, suggesting further refinement of dermal melanocytic RCM features is needed. Conclusion Reliable correlates for epidermal and junctional histological features used to diagnose melanocytic neoplasms are identifiable on RCM , suggesting harnessing histological criteria may be a reasonable method to move beyond the algorithmic approach.