参考文献
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Classification & staging
- PubMed — Norwood-Hamilton scale (male pattern baldness classification)
PubMed · 1975
Classic classification system for male pattern baldness used to stage recipient area and plan coverage.
- PubMed — Ludwig classification of female pattern hair loss
PubMed · 2004
Staging system for female pattern hair loss used alongside male Norwood classification in planning.
Graft survival
- PMC — Follicular unit survival and graft handling factors
PMC · 2010
Clinical study discussing factors affecting follicular unit survival after transplantation.
Surgical techniques
- PubMed — Follicular unit extraction overview
PubMed · 2014
Peer-reviewed overview of follicular unit extraction technique, indications, and clinical considerations.
- PubMed — Hair transplantation: basic overview
PubMed · 2017
Clinical overview of hair transplantation principles, donor harvesting, and recipient site planning.
Recovery & aftercare
- PubMed — Platelet-rich plasma for androgenetic alopecia (systematic review)
PubMed · 2016
Systematic review of PRP as adjunct therapy for androgenetic alopecia; evidence varies by protocol and patient selection.
- PubMed — Shedding after hair restoration surgery
PubMed · 2011
Discussion of post-transplant shedding (shock loss) timelines and when regrowth typically begins.
Patient planning
- ISHRS — Hair Transplant Guide for Patients
ISHRS
Patient education on choosing a surgeon, realistic expectations, and what happens before and after surgery.
- ISHRS — Glossary of Hair Restoration Terms
ISHRS
Standard definitions for graft, FUE, shock loss, donor area, and other restoration terminology.
- ISHRS — Find a hair restoration physician
ISHRS
Official directory guidance for selecting a qualified hair restoration physician.
Diagnostics & trichoscopy
- PubMed — Miniaturization and trichoscopy in hair loss evaluation
PubMed · 2019
Review of trichoscopy and follicular miniaturization patterns in diagnosing progressive hair loss.
AI & density measurement
- PubMed — Automated hair density measurement using deep neural networks
PubMed · 2022
Research evaluating automated hair density measurement accuracy using deep learning on trichoscopy images.