A New Practical Classification for Spatial Distribution and Morphology of Human Hair: Ahmad's LGMA Classification

October 2017 in “ Journal of Cosmetic Dermatology ”

Anas Malik

Ahmad's LGMA classification spatial distribution morphology Linear Grouped Mixed Angular high-resolution scalp photographs Follicular Unit Extraction FUE hair restoration hair patterns punch size hair follicle arrangements transection rates LGMA classification hair restoration surgery

Studysummary This study presents a new classification of adult human scalp hair patterns based on high-resolution photographs, which may assist hair restoration surgeons and dermatologists in determining appropriate punch size for follicular unit extraction.

Our plain-language summary. Not medical advice or a treatment recommendation. Consult a qualified healthcare professional before changing treatment. Full disclaimer

In 2017, Dr. Muhammad Ahmad introduced Ahmad's LGMA classification, a system for categorizing human hair based on spatial distribution and morphology into four types: Linear (L), Grouped (G), Mixed (M), and Angular (A). This classification, derived from high-resolution scalp photographs of South Asian adults, aims to aid hair restoration surgeons and dermatologists in recognizing natural hair patterns and selecting the correct punch size for Follicular Unit Extraction (FUE) procedures. The study indicates that this system could help predict the success of hair restoration surgeries by understanding hair follicle arrangements, potentially reducing transection rates. However, the classification's current limitation is its basis on a specific population, and further research is needed to confirm its effectiveness across diverse racial groups.

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