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Skin Cancer

Skin Cancer

Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...

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Related Experiment Video

Updated: Sep 17, 2025

Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry

Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry

Published on: November 25, 2011

Updated Techniques for Melanoma Diagnosis.

Angela Rosenberg¹, Lauren DeBusk¹, Milaan Shah²

¹Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Dermatologic Clinics

|June 28, 2025

Summary

This summary is machine-generated.

Early melanoma detection relies on ABCDE criteria and advanced tools. Integrating these methods with biopsy improves diagnosis and patient outcomes for this aggressive skin cancer.

Keywords:

Atypical nevus Diagnostic techniques Dysplastic nevus Melanoma

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A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

Area of Science:

Dermatology and Oncology

Background:

Melanoma is an aggressive skin cancer demanding prompt diagnosis.
Early detection significantly improves patient prognosis and survival rates.

Purpose of the Study:

To outline current diagnostic strategies for melanoma.
To emphasize the integration of traditional and novel technologies for enhanced evaluation.

Main Methods:

Review of established clinical guidelines (ABCDE criteria).
Assessment of non-invasive diagnostic tools: dermoscopy, total body photography, advanced imaging.
Evaluation of artificial intelligence (AI) in diagnostic accuracy.
Recognition of biopsy as the gold standard for definitive diagnosis.

Main Results:

The ABCDE criteria provide foundational guidelines for melanoma detection.
Advanced imaging and AI algorithms enhance lesion visualization and diagnostic precision.
Biopsy remains essential for conclusive diagnosis.

Conclusions:

A multifaceted approach combining traditional methods with innovative technologies is crucial.
Optimized melanoma evaluation and management through integrated strategies lead to improved patient outcomes.