Updated Techniques for Melanoma Diagnosis - 26/06/25

Doi : 10.1016/j.det.2025.03.010

Angela Rosenberg, DO ^a,^⁎ , Lauren DeBusk, MD ^a, Milaan Shah, MD ^b, Joshua Burshtein, MD ^c, Danny Zakria, MD, MBA ^d, Darrell Rigel, MD, MS ^a,^e,^f
^a Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, TX, USA
^b Department of Dermatology, Medical University of South Carolina, Charleston, SC, USA
^c Department of Dermatology, University of Illinois-Chicago, Chicago, IL, USA
^d Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
^e Department of Dermatology, NYU Grossman School of Medicine, New York, NY, USA
^f UTSW Medical Center, Dallas, Texas, USA

^∗Corresponding author. University of Texas Southwestern Medical Center, 5939 Harry Hines Boulevard 4th Floor Suite 100, Dallas, TX 75204.University of Texas Southwestern Medical Center5939 Harry Hines Boulevard 4th Floor Suite 100DallasTX75204

Résumé

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.

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Keywords : Melanoma, Atypical nevus, Dysplastic nevus, Diagnostic techniques