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Accuracy and reliability of naevus self-counts.

Cornelia Fiessler1, Annette Pfahlberg, Jiang Li

  • 1aDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany bDepartment of Preventive Medicine, School of Public Health, Fudan University, Shanghai, China.

Melanoma Research
|July 12, 2014
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Summary

Counting melanocytic naevi (moles) can help identify melanoma risk. However, self-counts are only a rough estimate and may not accurately identify high-risk individuals, especially those with lighter skin types.

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Area of Science:

  • Dermatology
  • Epidemiology
  • Medical Risk Assessment

Background:

  • A high number of melanocytic naevi (moles) is a significant risk factor for cutaneous melanoma.
  • Counting moles could aid in identifying individuals at increased risk for targeted skin cancer screening.

Purpose of the Study:

  • To assess the agreement between self-counted naevi and counts by trained examiners.
  • To analyze factors influencing the accuracy of naevus self-counting.

Main Methods:

  • A cross-sectional survey of 1772 university students who self-counted naevi on their arms.
  • Examiners also counted naevi in a blinded manner; data on other melanoma risk factors were collected.
  • Agreement was quantified using relative difference and ratio; regression modeling identified determinants of agreement.

Main Results:

  • Overall agreement between self-counts and examiner counts was moderate, with self-counts being approximately 14% higher.
  • Agreement was significantly lower for individuals with lighter skin types compared to those with darker skin (Fitzpatrick type IV).
  • Medical students' self-counts were more similar to examiner counts than non-medical students' counts.

Conclusions:

  • Naevus self-counts provide a rough estimate but lack the accuracy needed for reliable identification of high-risk individuals for melanoma screening.
  • The accuracy of self-counting is particularly limited in individuals with light skin types.