Updated Techniques for Melanoma Diagnosis.

Journal: Dermatologic clinics
Published Date: Jul 1, 2025

Abstract

Melanoma, an aggressive skin cancer, requires timely diagnostics for improved patient outcomes. The ABCDE criteria-assessing asymmetry, borders, color, diameter, and evolution-serve as foundational guidelines for early detection. Non-invasive tools like dermoscopy, total body photography, and advanced imaging techniques enhance visualization of skin lesions, while artificial intelligence-driven algorithms improve diagnostic accuracy. Despite these advancements, biopsy remains the gold standard for definitive diagnosis. This multifaceted approach highlights the need for integrating traditional methods with innovative technologies to optimize melanoma evaluation and management, ultimately leading to better patient outcomes.

Authors

  • Angela Rosenberg
    Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address: angelarosenberg9@gmail.com.
  • Lauren DeBusk
    Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Milaan Shah
    Department of Dermatology, Medical University of South Carolina, Charleston, SC, USA.
  • Joshua Burshtein
    Department of Dermatology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA.
  • Danny Zakria
    Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Darrell Rigel
    Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Dermatology, NYU Grossman School of Medicine, New York, NY, USA; UTSW Medical Center, Dallas, Texas, USA.

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