Collagen Features of Dermatofibrosarcoma Protuberans Skin Base on Multiphoton Microscopy

Technol Cancer Res Treat. 2018 Jan 1:17:1533033818796775. doi: 10.1177/1533033818796775.

Abstract

Dermatofibrosarcoma protuberans is a rare, low-grade skin fibroblastic tumor which tends to recur locally due to its high misdiagnosis. Dermatofibrosarcoma protuberans usually spreads through the intracutaneous and subcutaneous layers into the deep dermis layer in which the main component is collagen. Therefore, alterations in collagen shape and content are important for accurate diagnosis of dermatofibrosarcoma protuberans. In this study, multiphoton microscopy was employed to observe normal human skin and dermatofibrosarcoma protuberans skin. Then, a centerline based on an algorithm that skeletonizes a binary image of fibers was applied to analyze collagen shapes in 2 types of skin. Then, collagen content, including intensity and density, was quantitatively obtained to demonstrate differences between the 2 skin types. Results indicate that collagen shape and density can be considered as auxiliary diagnostic parameters to improve the accuracy of dermatofibrosarcoma protuberans diagnosis.

Keywords: collagen density; collagen shape; dermatofibrosarcoma protuberans; multiphoton microscopy; optical biopsy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biopsy
  • Collagen / chemistry*
  • Collagen / ultrastructure
  • Dermatofibrosarcoma / chemistry
  • Dermatofibrosarcoma / diagnosis*
  • Dermatofibrosarcoma / pathology
  • Dermatofibrosarcoma / ultrastructure
  • Female
  • Humans
  • Male
  • Microscopy
  • Middle Aged
  • Neoplasm Recurrence, Local / chemistry
  • Neoplasm Recurrence, Local / diagnosis*
  • Neoplasm Recurrence, Local / pathology
  • Neoplasm Recurrence, Local / ultrastructure
  • Skin / chemistry
  • Skin / ultrastructure
  • Skin Neoplasms / chemistry
  • Skin Neoplasms / diagnosis*
  • Skin Neoplasms / pathology
  • Skin Neoplasms / ultrastructure

Substances

  • Collagen