Image analysis systems to calculate the surface area of vitiligo lesions: A systematic review of measurement properties

Pigment Cell Melanoma Res. 2022 Sep;35(5):480-494. doi: 10.1111/pcmr.13056. Epub 2022 Jul 29.

Abstract

Several digital image analysis systems have been developed for surface calculation of vitiligo lesions. Critical assessment of their measurement properties is crucial to support evidence-based recommendations on the most suitable instruments and will reveal the need for future research. A systematic review was performed to systematically summarize, compare, and critically assess the measurement properties of digital and analogue analysis systems for surface calculation of vitiligo lesions following the Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) recommendations. Nineteen clinical trials were selected including 25 different instruments. Manual tracing on transparent sheets (contact planimetry) combined with digital measurement or point counting can be considered as the best validated method for the evaluation of target lesions taking into account the skin curvatures. Two-dimensional digital imaging analysis on photographs seems also robust although confirmatory data of different research groups using the same digital instrument in a wide range of skin types are missing. Analysis based on 3D photography is still in its early stage but is promising for whole-body analysis. However, the reported data on the quality of the instruments for surface area calculation of vitiligo lesions were in general rather limited. Therefore, future high-quality validation studies are required also including full body evaluations.

Keywords: body surface area; calculation; digital image analyses; measurement; measurement properties; planimetry; systematic review; vitiligo.

Publication types

  • Review
  • Systematic Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Consensus
  • Humans
  • Image Processing, Computer-Assisted
  • Research Design
  • Vitiligo* / diagnostic imaging
  • Vitiligo* / pathology