Alessia Barisani

Vulvar melanoma: How good are we in the follow‐up of high‐risk women?

Vulval hidradenoma papilliferum: a clinical and dermoscopic study

Hidradenoma papilliferum (HP) is a rare, slow-growing, benign adnexal tumour with apocrine differentiation. It usually affects the anogenital region in adult women and is clinically polymorphous, mimicking other benign or malignant neoformations. The dermoscopic features of vulval HP have not been reported yet. We report the clinical and dermoscopic features in a case series of histopathologically proven vulval HPs. Dermoscopy may be a useful tool for the diagnosis of vulval HP. To our knowledge, our paper represents the first report of dermoscopic findings in a series of vulval HPs in a multiracial population.

Thin vulvar melanoma: a challenging diagnosis. Dermoscopic features of a case series

Vulvar melanoma (VM) is rare and is often diagnosed late. Dermoscopy may aid in its recognition, differentiating VM from other more common vulvar lesions, such as melanosis and naevi. However, little is known about the dermoscopic features of thin VM. To retrospectively analyse a series of histopathologically diagnosed thin VMs and to highlight their most suggestive dermoscopic features. A multicentre, retrospective study was conducted, including histopathologically proven thin VMs, either intraepidermal or with Breslow thickness ≤ 0.5 mm, diagnosed during the period 2016-2018. We particularly focused on their dermoscopic characteristics to highlight the most suggestive dermoscopic diagnostic clues. In total, 14 cases of early-stage VM were included, in women with a mean age at diagnosis of 64.86 years. The most frequently affected sites were the labia minora. Of these, 11 cases were unifocal. Dermoscopy most often revealed structureless areas, grey globules and areas, irregular black-brown dots, blue and white structures, and red areas. In our experience, early-stage VM often exhibits dermoscopic features that are more typical of thicker cutaneous melanomas. Dermoscopy may provide useful clues for the prompt diagnosis of thin VM.