Investigation of optimum transplant and extraction density based on the data from the donor area of Chinese androgenetic alopecia patients: a multicenter, retrospective study.

Androgenetic alopecia follicular unit extraction hair loss hair transplant

Journal

Journal of cosmetic and laser therapy : official publication of the European Society for Laser Dermatology
ISSN: 1476-4180
Titre abrégé: J Cosmet Laser Ther
Pays: England
ID NLM: 101136419

Informations de publication

Date de publication:
02 Apr 2020
Historique:
pubmed: 8 5 2020
medline: 6 5 2021
entrez: 8 5 2020
Statut: ppublish

Résumé

The rise in the incidence of androgenetic alopecia (AGA) in China has increased the inclination toward hair transplantation. To calculate the optimum density of hair follicles needed covering both the hairless area and the safe donor area (SDA), 119 male patients with AGA were recruited into this multicenter investigation. We evaluated the mean diameter and the number of hair follicles (HFs) and follicular units (FUs) in the SDA of AGA. The mean density of HFs was 137.45 ± 30.11 hair/cm

Identifiants

pubmed: 32375571
doi: 10.1080/14764172.2020.1761550
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

137-140

Auteurs

Bensen Sun (B)

The Department of Dermatology, West China Hospital of Sichuan University , Chengdu, China.

Shu Zhang (S)

The Department of Dermatology, West China Hospital of Sichuan University , Chengdu, China.

Sushmita Pradhan (S)

The Department of Dermatology, West China Hospital of Sichuan University , Chengdu, China.

Wenbin Zhao (W)

The Department of Dermatology, West China Hospital of Sichuan University , Chengdu, China.

Yuxian Xu (Y)

Chengdu Hengmei Hair Medical Beauty Hospital , Chengdu, China.

Xinyi Zhang (X)

Chengdu Siyuan Hair-transplant Hospital , Chengdu, China.

Yongfeng Diao (Y)

Sichuan Huamei Zixin Medical Beauty Hospital , Chengdu, China.

Xian Jiang (X)

The Department of Dermatology, West China Hospital of Sichuan University , Chengdu, China.

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Classifications MeSH