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How to Treat Skin Quality: A Consensus-Based Treatment Algorithm and Expert Guidance.

Martina Kerscher1, Kate Goldie2, Cyro Hirano3

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|August 23, 2025
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Summary

This study introduces a treatment algorithm to guide clinicians in selecting aesthetic treatments for improving skin quality. The algorithm addresses four emergent perceptual categories (EPCs) for enhanced patient outcomes.

Keywords:
emergent perceptual categoriesskin firmnessskin glowskin qualityskin surface evennessskin tone evennesstreatment algorithm

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Area of Science:

  • Aesthetic medicine and dermatology.
  • Clinical practice guidelines.

Background:

  • Skin quality is assessed through four emergent perceptual categories (EPCs): tone evenness, surface evenness, firmness, and glow.
  • Existing literature identifies potential treatments for each EPC, but lacks a consolidated clinical guide.

Purpose of the Study:

  • To develop a practical treatment algorithm for clinicians to address emergent perceptual categories (EPCs) in aesthetic practice.
  • To provide evidence-based guidance for selecting treatments to improve overall skin quality.

Main Methods:

  • A modified Delphi method involving twelve international aesthetic physicians.
  • Panelists ranked aesthetic treatments by their efficacy for each EPC.
  • A RAND/UCLA appropriateness scale was used to refine the treatment algorithm.

Main Results:

  • A comprehensive treatment algorithm for managing the four emergent perceptual categories (EPCs) of skin quality.
  • Clinical pearls and preferred treatment approaches are integrated into the algorithm.
  • The algorithm is designed for application across diverse skin types and global clinical settings.

Conclusions:

  • The developed treatment algorithm offers a structured approach to improving patient skin quality.
  • This guidance utilizes the emergent perceptual categories (EPCs) framework for consistent clinical application.
  • The algorithm aims to enhance aesthetic outcomes in real-world clinical practice.