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Related Experiment Video

Updated: May 16, 2025

A 3D Organotypic Melanoma Spheroid Skin Model

A 3D Organotypic Melanoma Spheroid Skin Model

Published on: May 18, 2018

[Melanoma].

Mette Mogensen^1,2, Terese von Knorring¹, Lisbet Rosenkrantz Hölmich^2,3

¹Dermato-Venerologisk Afdeling, Københavns Universitetshospital - Bispebjerg og Frederiksberg Hospital.

Ugeskrift for Laeger

|April 2, 2025

Summary

Melanoma rates are increasing globally, with Denmark seeing a doubling in cases. Early detection is key, but improved diagnostic tools and public awareness are vital for better melanoma diagnosis and treatment.

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Area of Science:

Dermatology and Public Health

Background:

Global melanoma incidence is rising, with a significant increase observed in Denmark over the last 25 years.
Early melanoma detection is crucial but faces challenges in accurately diagnosing early-stage melanomas and atypical nevi.

Purpose of the Study:

To review melanoma diagnostic processes within the Danish healthcare system.
To highlight current and emerging diagnostic tools for melanoma.
To emphasize the need for improved diagnostic accuracy to minimize unnecessary excisions.

Main Methods:

Review of current literature and diagnostic practices in Denmark.
Discussion of emerging technologies, including artificial intelligence (AI) in melanoma diagnosis.
Analysis of the role of public education in self-detection of melanoma.

Main Results:

Current diagnostic methods face limitations in distinguishing between melanoma and atypical nevi.
Artificial intelligence shows potential but has not yet outperformed experienced dermatologists.
Public education remains a critical component, as many melanoma cases are self-detected.

Conclusions:

Enhanced diagnostic accuracy is essential for improving melanoma patient outcomes.
Further research and development of diagnostic tools, including AI, are needed.
Continued public awareness campaigns regarding mole changes are vital for early melanoma detection.