Dominic A Brandy1. 1. Department of Dermatology, University of Pittsburgh Medical Center, Pennsylvania, USA.
Abstract
BACKGROUND: The author presents an evaluation system that helps optimize the chances of achieving good results with alopecia-reducing procedures. OBJECTIVE: To help hair restoration surgeons select patients properly for alopecia-reducing procedures. METHODS: Twenty criteria are scrutinized by the hair restoration surgeon during the initial consultation and given a score of one to five. The scores are added together and divided by 20. A patient with a score greater than four is considered a good candidate for alopecia reduction in most cases. RESULTS: This evaluation method has significantly decreased the number of patients undergoing alopecia-reducing procedures while helping the author achieve consistently good results. CONCLUSION: An evaluation system is presented that helps determine who is a good candidate for alopecia reduction and who is a poor candidate. This selection technique has helped the author achieve more consistently good results by eliminating poor and borderline candidates.
BACKGROUND: The author presents an evaluation system that helps optimize the chances of achieving good results with alopecia-reducing procedures. OBJECTIVE: To help hair restoration surgeons select patients properly for alopecia-reducing procedures. METHODS: Twenty criteria are scrutinized by the hair restoration surgeon during the initial consultation and given a score of one to five. The scores are added together and divided by 20. A patient with a score greater than four is considered a good candidate for alopecia reduction in most cases. RESULTS: This evaluation method has significantly decreased the number of patients undergoing alopecia-reducing procedures while helping the author achieve consistently good results. CONCLUSION: An evaluation system is presented that helps determine who is a good candidate for alopecia reduction and who is a poor candidate. This selection technique has helped the author achieve more consistently good results by eliminating poor and borderline candidates.