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Follicular Map: A Novel Approach to Quantitative Trichoscopy
Michal Kasprzak1, Justyna Sicińska1,2, Antonella Tosti3
1TrichoLAB, Warsaw, Poland.
Skin Appendage Disorders
|August 2, 2019
Summary
A novel Follicular Map (FMap) technique uses graphical pattern recognition to uniquely identify scalp locations. This method precisely tracks hair follicles, aiding in evaluating treatment effectiveness for hair and scalp conditions.
Area of Science:
- Dermatology
- Medical Imaging
- Computational Biology
Background:
- Trichoscopy (hair and scalp dermoscopy) is an increasingly important tool for diagnosing and monitoring hair and scalp conditions.
- There is a growing need for methods to accurately re-examine the same scalp site in subsequent examinations.
Purpose of the Study:
- To develop a method for precisely identifying and re-examining specific scalp sites for longitudinal studies.
- To create a reproducible mapping system for hair follicle locations on the scalp.
Main Methods:
- Analysis of 40,000 trichoscopic images (70x magnification).
- Utilized graphical pattern recognition to identify hair shafts and derive follicular orifice coordinates.
- Developed the Follicular Map (FMap) based on the relative positions of hair follicle orifices.
- Employed numerical algorithms for processing and matching FMaps.
Main Results:
- Follicular Maps (FMaps) demonstrated uniqueness for specific scalp locations in individuals.
- FMap patterns remained stable over time, unaffected by natural hair cycling.
- FMaps were tentatively verified as unaffected by noncicatricial alopecia.
Conclusions:
- The Follicular Map (FMap) offers a novel approach to qualitative trichoscopy.
- Enables precise measurement and recording of hair follicle locations.
- Facilitates accurate evaluation of treatment efficacy, clinical trial quality control, and diagnostic tool validation.
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