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Related Experiment Videos

Morphometric computerized analysis as a method to assess skin atrophy caused by corticosteroids

C Pelfini1, M Vignini, A Calligaro

  • 1Department of Dermatology, Ospedale S. Anna, USSL 11, Como, Italy.

Skin Pharmacology : the Official Journal of the Skin Pharmacology Society
|January 1, 1993
PubMed
Summary

Computerized morphometric analysis accurately quantifies skin atrophy, correlating well with subjective assessments. This method objectively differentiates topical corticosteroid potencies, aiding in clinical evaluations.

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Area of Science:

  • Dermatology
  • Image Analysis

Background:

  • Skin atrophy is a common side effect of topical corticosteroid use.
  • Accurate quantification of skin atrophy is essential for evaluating drug efficacy and safety.

Purpose of the Study:

  • To evaluate the efficacy of morphometric computerized analysis in quantifying skin atrophy.
  • To compare computerized analysis with subjective assessments of skin atrophy.
  • To determine if computerized analysis can differentiate between corticosteroid potencies.

Main Methods:

  • Skin atrophy was induced in volunteers using the Duhring chamber assay with topical corticosteroids.
  • Replicas of atrophic skin areas were captured and stored digitally.
  • An interactive computerized image analysis system (Kontron Zeiss Ibas 2) was used to analyze the replicas.

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Main Results:

  • Morphometric computerized analysis demonstrated high sensitivity in quantifying skin atrophy.
  • Results from computerized analysis showed a strong correlation with subjective visual examinations.
  • The method successfully differentiated between the effects of mid-potency and high-potency topical corticosteroids.

Conclusions:

  • Computerized morphometric analysis provides a sensitive and objective method for quantifying skin atrophy.
  • This technique offers a reliable alternative to subjective assessments in dermatological studies.
  • The method facilitates objective differentiation of topical corticosteroid potency, supporting clinical decision-making.