Educational and practice gaps in the management of volar melanocytic lesions

J Eur Acad Dermatol Venereol. 2018 Sep;32(9):1450-1455. doi: 10.1111/jdv.14712. Epub 2017 Dec 18.

Abstract

Background: The benign and malignant patterns of acral melanocytic naevi (AMN) and acral melanomas (AM) have been defined in a series of retrospective studies. A three-step algorithm was developed to determine when to biopsy acral melanocytic lesions. This algorithm has only been applied to a Japanese population.

Objectives: Our study aimed to review the current management strategy of acral melanocytic lesions and to investigate the utility of the three-step algorithm in a predominately Caucasian cohort.

Methods: A retrospective search of the pathology and image databases at Mayo Clinic was performed between the years 2006 and 2016. Only cases located on a volar surface with dermoscopic images were included. Two dermatologists reviewed all dermoscopic images and assigned a global dermoscopic pattern. Clinical and follow-up data were gathered by chart review. All lesions with known diameter and pathological diagnosis were used for the three-step algorithm.

Results: Regular fibrillar and ridge patterns were more likely to be biopsied (P = 0.01). The majority of AMN (58.1%) and AM (60%) biopsied were due to physician-deemed concerning dermoscopic patterns. 39.2% of these cases were parallel furrow, lattice-like or regular fibrillar. When patients were asked to follow-up within a 3- to 6-month period, only 16.7% of the patients returned within that interval. The three-step algorithm would have correctly identified four of five AM for biopsy, missing a 6 mm, multicomponent, invasive melanoma.

Conclusion: We found one major educational gap in the recognition of low-risk lesions with high rates of biopsy of the fibrillary pattern. Recognizing low-risk dermoscopic patterns could reduce the rate of biopsy of AMN by 23.3%. We identified two major practice gaps, poor patient compliance with follow-up and the potential insensitivity of the three-step algorithm to small multicomponent acral melanocytic lesions.

MeSH terms

  • Adult
  • Aged
  • Algorithms
  • Biopsy
  • Dermoscopy* / education
  • Female
  • Foot Diseases / diagnostic imaging*
  • Foot Diseases / pathology
  • Hand
  • Humans
  • Male
  • Melanoma / diagnostic imaging*
  • Melanoma / pathology
  • Middle Aged
  • Neoplasms, Second Primary / diagnostic imaging*
  • Neoplasms, Second Primary / pathology
  • Nevus, Pigmented / diagnostic imaging*
  • Nevus, Pigmented / pathology
  • Retrospective Studies
  • Skin / pathology
  • Skin Neoplasms / diagnostic imaging*
  • Skin Neoplasms / pathology