title: Multifactorial classification of male and female androgenetic alopecia.
abstract: BACKGROUND
  Various classifications of male androgenetic alopecia have been described. In fact, all the classification schemes proposed so far are only topographic. A more objective, accurate, and detailed approach to classifying baldness is needed.
  
  
  OBJECTIVE
  To propose a dynamic multifactorial classification of certain parameters that can be quantitated and computerized.
  
  
  METHODS
  A multifactorial classification has been developed to study parameters such as fixed distances of the face, scalp mobility and thickness, and covering power of hair. This includes density, caliber, shape, length, growth rate, and hair color.
  
  
  RESULTS
  Classification proved to be efficient during the fluctuations of different parameters in hormonal and minoxidil treatments. It also helps to determine surgical indications of hair transplant and the stage of maximal baldness.
  
  
  CONCLUSIONS
  This approach will lead to a better evaluation of the evolution of androgenetic alopecia in both sexes, either spontaneously or under treatment.
authors.affiliation: Center Sabouraud, Hôpital St. Louis, Paris, France. info@bouhanna.com
authors.forename: P
authors.initials: P
authors.lastname: Bouhanna
mesh_terms: D000505:Alopecia / Q000145:classification* / Q000473:pathology; D005260:Female; D006197:Hair; D006801:Humans; D008297:Male; D012535:Scalp / Q000473:pathology; D012727:Sex Characteristics