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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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Updated: May 27, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

A possible melanoma discrimination index based on hyperspectral data: a pilot study.

Takashi Nagaoka¹, Atsushi Nakamura, Haruka Okutani

¹Cancer Diagnostic Research Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Shizuoka, Japan. nagaoka@aoni.waseda.jp

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)

|November 19, 2011

Summary

A new hyperspectral imaging system and melanoma discrimination index aid in early malignant melanoma (MM) detection. This index analyzes pigment molecules, showing high success in differentiating MM from other skin lesions.

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Area of Science:

Dermatology
Medical Imaging
Biophysics

Background:

Early detection of malignant melanoma (MM) is vital for reducing mortality.
Automated screening systems are being developed to aid early melanoma detection.
Hyperspectral data (HSD) offers potential for analyzing skin lesions.

Purpose of the Study:

To present a hyperspectral melanoma screening system.
To propose a novel melanoma discrimination index based on skin pigment molecules.
To evaluate the index's performance in discriminating melanoma.

Main Methods:

Developed a hyperspectral melanoma screening system using hyperspectral data (HSD).
Proposed a melanoma discrimination index reflecting lesion disorder and color variegation from spectral information.
Evaluated the index on various pigmented skin lesions, including melanoma, Spitz nevus, seborrheic keratosis, basal cell carcinoma, and melanocytic nevus.

Main Results:

The proposed index demonstrated high performance in discriminating melanomas.
Sensitivity was 90%, specificity was 84%, and the area under the ROC curve was 0.93.
The index effectively reflects the disordered nature of skin lesions.

Conclusions:

An objective melanoma discrimination index derived from HSD at a molecular pigmentary level has been developed.
The index showed high success in discriminating malignant melanoma from non-melanoma lesions.
Further validation with larger populations is warranted due to the small statistical sample.