scholarly journals Correlation of Dermoscopy With In Vivo Reflectance Confocal Microscopy of Streaks in Melanocytic Lesions

2007 ◽  
Vol 143 (6) ◽  
Author(s):  
Alon Scope ◽  
Melissa Gill ◽  
Cristiane Benveuto-Andrade ◽  
Allan C. Halpern ◽  
Salvador Gonzalez ◽  
...  
2009 ◽  
Vol 129 (1) ◽  
pp. 131-138 ◽  
Author(s):  
Pascale Guitera ◽  
Giovanni Pellacani ◽  
Caterina Longo ◽  
Stefania Seidenari ◽  
Michelle Avramidis ◽  
...  

Dermatology ◽  
2018 ◽  
Vol 235 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Francesca Peccerillo ◽  
Victor Desmond Mandel ◽  
Francesca Di Tullio ◽  
Silvana Ciardo ◽  
Johanna Chester ◽  
...  

Background: Atypical basal cell carcinoma (BCC), characterized by equivocal dermoscopic features typical of malignant melanoma (MM), can be difficult to diagnose. Reflectance confocal microscopy (RCM) enables in vivo imaging at nearly histological resolution. Objectives: To evaluate with RCM atypical melanocytic lesions identified in dermoscopy, according to common RCM criteria for the differential diagnosis of BCC, and to identify representative RCM parameters for superficial (sBCCs) and nonsuperficial (nsBCCs) basal cell carcinomas (BCCs). Methods: A retrospective analysis of consecutive patients evaluated with RCM, selecting excised lesions classified at dermoscopy with ≥1 score from the re visited 7-point checklist, mimicking melanoma, registered between 2010 and 2016. Cluster analysis identified BCC subclassifications. Results: Of 178 atypical lesions, 34 lesions were diagnosed as BCCs with RCM. Lesions were confirmed BCCs with histopathology. Dermoscopic features included atypical network (55.9%) and regression structures (35.5%) associated with sBCCs, and an atypical vascular pattern (58.8%) and irregular blotches (58.8%) with nsBCCs. Hierarchical cluster analysis identified 2 clusters: cluster 1 (100% sBCCs) was characterized by the presence of cords connected to the epidermis (90%, p < 0.001), tumor islands located in the epidermis (100%, p < 0.001), smaller vascular diameter (100%, p < 0.001) and solar elastosis (90%, p = 0.017), and cluster 2 (nsBCCs 85%) was defined by the dermic location of tumor islands (87.5%, p < 0.001) with branch-like structures (70.8%, p = 0.007) and surrounding collagen (83.3%, p = 0.012), peripheral palisading (83.3%, p = 0.012) and coiled vascular morphology (79.2%, p < 0.001) with a larger vascular diameter (50%, p < 0.001). Conclusions: RCM is able to diagnose BCCs mimicking melanoma at dermoscopy and seems able to identify sBCCs and nsBCCs.


2013 ◽  
Vol 17 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Rodrigo J. Schwartz ◽  
Karla Vera ◽  
Nelson Navarrete ◽  
Pedro Lobos

Background: RCM (reflectance confocal microscopy) is a noninvasive, high-resolution technology that has been proven to improve the diagnostic accuracy over clinical examination in several skin diseases. Objective: The aim of this article is to describe the morphologic features of halo nevi (HN) observed with RCM and correlate them with their dermoscopic characteristics. Method: Nine patients with the clinical diagnosis of HN were assessed with RCM. A second assessment was performed up to 12 months later. Dermoscopic global patterns were obtained and correlated with the RCM findings. Results: In five (55.6%) cases, pagetoid cells were observed. Nonedged dermal papilla and junctional thickening were found in three (33%) cases. Nucleated cells in the dermal papillae and plump bright cells were observed in seven (77.8%) and six (66.7%) cases, respectively. Conclusion: Our study shows that HN observed by RCM can show atypical features that overlap with those observed on atypical melanocytic lesions and malignant melanoma.


2007 ◽  
Vol 127 (12) ◽  
pp. 2759-2765 ◽  
Author(s):  
Giovanni Pellacani ◽  
Pascale Guitera ◽  
Caterina Longo ◽  
Michelle Avramidis ◽  
Stefania Seidenari ◽  
...  

Author(s):  
Arianna Rizzo ◽  
Diletta Fiorani ◽  
Laura Lazzeri ◽  
Paolo Taddeucci ◽  
Pietro Rubegni ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
pp. e240507
Author(s):  
Mihai Lupu ◽  
Vlad Mihai Voiculescu ◽  
Cristina Vajaitu ◽  
Olguta Anca Orzan

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