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Enregistrement W4252195007 · doi:10.4172/plastic-surgery.1000822

Characterizing the lateral slope of the aging female eyebrow

2013· article· en· W4252195007 sur OpenAlexaff
Tanya L DeLyzer, Arjang Yazdani

Notice bibliographique

RevuePlastic Surgery · 2013
Typearticle
Langueen
DomaineComputer Science
ThématiqueBiometric Identification and Security
Établissements canadiensLondon Health Sciences CentreWestern University
Organismes subventionnairesnon disponible
Mots-clésEyebrowGeologyAnatomyBiologyComputer sciencePsychologyCommunication

Résumé

récupéré en direct d'OpenAlex

I deal eyebrow aesthetics were first described in 1974 by Westmore (1) as a lateral arch with the apex terminating above the lateral limbus of the iris, and with medial and lateral ends of the eyebrow at the same height.Since this description, the ideal shape has been refined, and studies have shown that surgeons and patients both prefer an eyebrow shape with a lateral upward slope in which the arch apex is positioned just lateral to the lateral limbus (2-4).These aesthetics provide a framework for brow rejuvenation.The focus of brow rejuvenation procedures is on position, shape and symmetry of the eyebrows.Potential pitfalls and criticisms of surgical brow lift techniques include an 'unnatural' shape and appearance, excessive elevation of the medial eyebrow, a medial or flat apex shape and overelevation of the entire eyebrow without lowering the medial segment, yielding a surprised appearance (5-7).Because of these criticisms, surgeons performing brow rejuvenation procedures focus on reshaping the eyebrows more than repositioning.However, to accomplish this, we must fully understand the aging process at the eyebrow.Recently, Matros et al (8) studied eyebrow position in two groups of Caucasian women: 20 to 30 and 50 to 60 years of age.They found that the eyebrow overall was positioned higher in the older group and that the medial eyebrow was elevated more than the lateral eyebrow.This study helps to explain why brow lifting techniques that preferentially elevate the medial or mid portion of the eyebrow lead to an unnatural appearance.A similar study by Patil et al (9) also showed these results in a female Indian population, illustrating that this pattern transcends ethnicity.These two studies compared different points on the eyebrow between subjects, in isolation of one another and, in doing so, they do not fully capture the shape of one subject's eyebrow before comparison.To do this, we must know how one point relates to another within each eyebrow.To capture this, we can calculate the lateral slope of the eyebrow.In the present study, we set out to characterize the shape changes occurring in the aging female eyebrow, specifically the changes in slope with increasing age, by performing photographic measurements of the eyebrows of 100 women 20 to 80 years of age.We hypothesized a decrease in eyebrow slope with increasing age. MethodsResearch ethics board approval was obtained through Western University Health Sciences Research Ethics Board (London, Ontario, HSREB# 18550E).Standardized anteroposterior facial digital photographs were obtained, after verbal consent, from a random cohort of original artiCle ©2013 Canadian Society of Plastic Surgeons.All rights reserved tL deLyzer, A Yazdani.Characterizing the lateral slope of the aging female eyebrow.Can J Plast surg 2013;21(3):173-177.BACkground: Ideal eyebrow aesthetics give a framework for brow rejuvenation and surgical procedures do not always provide satisfying results.Previous studies have shown elevation of the medial brow with aging; however, they failed to characterize overall shape changes.oBJeCtive: To characterize changes in eyebrow slope with increasing age to better direct brow rejuvenation.Methods: From standardized anteroposterior facial photographs of 100 women 20 to 80 years of age, eyebrow height was measured at the medial limbus and arch apex from a mid-pupillary horizontal.The slope of the eyebrow was calculated.Using group analysis, mean height and slope were compared using the Mann-Whitney U test.Regression analysis was used to determine the relationship between slope and age.resuLts: Mean slope significantly decreased from 20 to 29 years of age to 40 to 49 years of age (0.22 versus 0.12; P=0.03), and then increased between 40 and 49 years of age and ≥60 years of age (0.12 versus 0.21; P=0.05).Medial height did not change significantly, and arch apex significantly decreased between 20 and 29 years of age and 40 and 49 years of age.Regression analysis showed a quadratic relationship between age and slope, with the decrease in slope until the fifth decade of life being directly related to increasing age.After this, age was not a significant contributor to slope changes.ConCLusions: With increasing age, the slope of the eyebrow decreases until the fifth decade dependent on age.After the fifth decade, age no longer plays a significant role.Therefore, choice of brow lift technique should be carefully selected.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,220
Écart entre enseignants0,192 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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