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Patterns of coverage. Uniform versus graded density.

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Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] 📖 저널 OA 4.5% 2021: 7/61 OA 2022: 2/29 OA 2023: 5/11 OA 2024: 5/33 OA 2025: 3/42 OA 2026: 0/24 OA 2021~2026 1997 Vol.23(9) p. 767-9
출처

Knudsen R

ℹ️ 이 논문은 무료 전문이 아직 없습니다. 코퍼스 전체의 43.9%는 무료 가능 (통계 →) · 🏥 기관 EZproxy로 시도

📝 환자 설명용 한 줄

【연구 목적】 광범위한 탈모(Norwood V1-V11) 환자에서 모발 이식술의 핵심 목표인 자연스러움과 불투명성을 달성하기 위해, 균일한 밀도(uniform density)와 경사 밀도(graded density) 두 가지 피복 패턴 중 어떤 접근법이 더 효과적인지 비교 분석한다.

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↓ .bib ↓ .ris
APA Knudsen R (1997). Patterns of coverage. Uniform versus graded density.. Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.], 23(9), 767-9.
MLA Knudsen R. "Patterns of coverage. Uniform versus graded density.." Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.], vol. 23, no. 9, 1997, pp. 767-9.
PMID 9311371 ↗

Abstract

The goal of hair restoration surgery is undetectability. Anything that is unnatural or draws attention to itself is to be avoided. In extensive baldness (Norwood V1-V11) various patterns of coverage with grafting can be constructed. Principally they fall into either the graded or uniform density approaches. If the goal is to provide coverage of the entire area of extensive baldness, the uniform density approach offers the less noticeable result because it draws no attention to any particular part of the balding scalp. If the goal is to provide only frontal forelock reconstruction, both approaches are advocated. In less than ideal grooming situations such as in the wind, exercise, or swimming however, the uniform density approach appears to offer a less noticeable result.

추출된 의학 개체 (NER)

전체 NER 표 보기
유형영어 표현한국어 / 풀이UMLS CUI출처등장
해부 hair scispacy 1
합병증 scalp scispacy 1
합병증 frontal forelock scispacy 1
질환 baldness C0002170
Alopecia
scispacy 1
질환 balding C0574769
Loss of scalp hair
scispacy 1

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반