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Author Notes:

Correspondence: loren.d.krueger@emory.edu

Author contributions: LK: Study conception and design, draft manuscript preparation, data collection, analysis and interpretation of results; CA: Data collection, manuscript review; EP: Data collection; JT: Data collection; JBJ: Draft manuscript preparation; KLS: Study conception and design, analysis and interpretation of results; JS: Data collection

Acknowledgements: We thank Dr. Michael Natter for his valuable contributions.

Disclosures: None.

Subjects:

Research Funding:

This was funded by the Rudin Research Foundation Grant at the Department of Dermatology, New York University, to support resident research. This funding was used to support the development of medical imagery.

Keywords:

  • Alopecia
  • classification scheme
  • curl pattern
  • hair loss
  • hair texture
  • skin of color

Curl pattern classification: A potential tool for communication and risk stratification.

Tools:

Journal Title:

International Journal of Women's Dermatology

Volume:

Volume 8, Number 2

Publisher:

, Pages e015-e015

Type of Work:

Article | Final Publisher PDF

Abstract:

Hair and hair loss disorders lack adequate tools for quantitative assessment, impacting the quality of our care. Even though alopecia is among the top 10 conditions for which Black patients seek dermatologic care, many dermatologists are less familiar or confident with evaluation of hair loss in ethnic hair. For example, we do not utilize a widely accepted measure for hair texture, yet we do consider hair texture when evaluating our hair loss patients as it is relevant to hair fragility, shaft shape, and styling practices. This gap in objectivity likely lowers dermatologists’ confidence and accuracy in addressing hair disorders in these patients.

Copyright information:

© 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of Women’s Dermatologic Society.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/rdf).
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