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Updated: Jul 9, 2025

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[Translated article] Reticulate Skin Lesions: Practical Color-Based Algorithm for Initial Clinical Assessment.

G Aedo Inostroza1, L Pincheira Figueroa1, D Aragón-Caqueo2

  • 1Facultad de Ciencias Médicas, Universidad de Santiago, Santiago, Chile; Servicio de Dermatología, Hospital El Pino, Santiago, Chile.

Actas Dermo-Sifiliograficas
|December 4, 2023
PubMed
Summary
This summary is machine-generated.

Reticular skin patterns, though distinctive, are often overlooked. This study reviews diseases with these patterns and proposes a diagnostic algorithm based on color and clinical signs for better assessment.

Keywords:
DiagnosisDiagnósticoLesiones reticuladasReticulate lesionsSemiologíaSigns and symptomsSyndromeSíndrome

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Area of Science:

  • Dermatology
  • Pathology

Background:

  • Reticular patterns are common in diverse skin conditions.
  • These patterns are frequently under-recognized as a distinct diagnostic category.
  • Diseases with reticulate lesions have varied causes, from benign to life-threatening.

Purpose of the Study:

  • To review diseases presenting with reticular skin lesions.
  • To propose a clinical diagnostic algorithm for assessing these conditions.

Main Methods:

  • Literature review of diseases with reticular skin manifestations.
  • Development of a diagnostic algorithm based on lesion color and clinical features.

Main Results:

  • Identified a wide range of etiologies for reticular skin patterns, including tumors, infections, vascular, inflammatory, metabolic, and genetic disorders.
  • Proposed a diagnostic algorithm to aid clinicians in the initial assessment of reticulate skin lesions.

Conclusions:

  • Reticular skin patterns represent a significant, albeit underutilized, diagnostic clue.
  • The proposed algorithm can assist in the differential diagnosis of conditions exhibiting reticulate morphology.