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Related Concept Videos

Skin Cancer01:30

Skin Cancer

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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.
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Pigmentation01:19

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The color of the skin is influenced by a number of pigments, including melanin, carotene, and hemoglobin. Recall that melanin is produced by cells called melanocytes, which are found scattered throughout the stratum basale of the epidermis. The melanin is transferred to the keratinocytes via melanosomes.
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Changes in Skin Color: Clinical Perspectives01:14

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The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
Albinism
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Related Experiment Video

Updated: May 3, 2026

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
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Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

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Prediction without Pigment: a decision algorithm for non-pigmented skin malignancy.

Cliff Rosendahl1, Alan Cameron1, Philipp Tschandl2

  • 1School of Medicine, The University of Queensland, Australia.

Dermatology Practical & Conceptual
|February 13, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a new stepwise method for assessing non-pigmented skin lesions, prioritizing ulceration, white clues, and then vessel patterns. It aids clinicians in deciding on biopsies for suspicious lesions.

Keywords:
algorithmdermatoscopydermoscopykeratinnon-pigmentedskin cancervesselswhite circles

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Area of Science:

  • Dermatology
  • Oncology
  • Medical Diagnostics

Background:

  • Limited methods exist for stepwise assessment of non-pigmented skin lesions.
  • Existing diagnostic algorithms primarily focus on pigmented lesions.

Purpose of the Study:

  • To present a novel stepwise pattern analysis method for diagnosing non-pigmented skin lesions.
  • To provide a clinical decision-making tool for biopsy of suspicious non-pigmented lesions.

Main Methods:

  • A stepwise assessment algorithm prioritizing ulceration, then white clues (including keratin clues in raised lesions), and finally vessel pattern analysis.
  • The method, termed 'Prediction without Pigment', guides biopsy decisions rather than providing definitive diagnoses.

Main Results:

  • The algorithm offers a structured approach to evaluating non-pigmented lesions.
  • The priority of keratin clues in raised lesions over vessel patterns has been verified.

Conclusions:

  • The 'Prediction without Pigment' algorithm assists clinicians in determining the need for biopsy of non-pigmented lesions.
  • Raised, firm, non-pigmented lesions lacking a confident benign diagnosis require excision to rule out amelanotic melanoma.