MétaCan
Menu
Retour à la cohorte
Enregistrement W4385158952 · doi:10.1111/jocd.15938

‘It's all in the pinch’: A description of a novel method for assessing nasal soft tissue pliability for nonsurgical rhinoplasty with hyaluronic acid filler

2023· letter· en· W4385158952 sur OpenAlexaff
Ayad Harb, A Abdul-Razzak, Shahd Twijiri

Notice bibliographique

RevueJournal of Cosmetic Dermatology · 2023
Typeletter
Langueen
DomaineMedicine
ThématiqueFacial Rejuvenation and Surgery Techniques
Établissements canadiensAlberta Medical Association
Organismes subventionnairesnon disponible
Mots-clésSoft tissueAnatomyMedicineNosePerichondriumBiomedical engineeringPeriosteumRhinoplastyCartilageSurgery

Résumé

récupéré en direct d'OpenAlex

Nonsurgical rhinoplasty (NSR) with injectable hyaluronic acid fillers is gaining popularity.1 However, as with any aesthetic procedure, NSR requires assessment and planning to determine who may be an appropriate candidate for treatment. We describe a technique for assessing the pliability of the skin in the nose and present a new Nose Pliability Assessment Scale (NPAS), which may be a useful method of summarizing skin flexibility and behavior before nonsurgical treatment. When utilizing the NPAS, the overall firmness, thickness and mobility of the soft tissues are evaluated. The pliability of the soft tissue envelope is assessed using a ‘pinch test’, performed between the thumb and index, using the hyponychium of each digit. The skin is pinched caudal–cranial at the tip and bilateral to midline (from lateral to medial) at the radix and bridge. This maneuver allows the clinician to isolate the mobile soft tissues and slide them over the immobile osseocartilaginous skeleton. At the tip, the cartilage can be soft and flexible, and it is easy to pinch a composite of soft tissue and cartilage ‘en bloc’. This is incorrect, and one must be deliberate about the tissues being clasped. This can be challenging in noses with thick or sebaceous skin, or in previously operated noses where scar tissue may have obliterated natural soft tissue planes, making it more difficult to discern. However, with practice, clinicians will soon develop the technique and tactile sense. The pinch test is a useful method of assessing the potential space between the soft tissue layers and the periosteum/perichondrium, where the dermal filler gel is injected.2, 3 The pinch test is applied to the radix, dorsum and nasal tip and each region is graded separately. The NPAS consists of a grading system, ranging from 1 to 5 (see Table 1 for details). When considering nonsurgical rhinoplasty, the ideal nose is adequately flexible with a thin soft tissue envelope. Patients with tissues that are graded as 3 or 4 on the NPAS are ideal for nonsurgical correction as they allow for accurate soft tissue assessment and manipulation, as well as easy filler gel injection. Post-surgical rhinoplasty patients may have a very tight skin pinch test, graded as 1 or 2 on the NPAS, due to extensive scarring from surgery and disruption of the natural anatomical planes. A tip that is overly tight with very little or no mobility on the skin pinch portends higher risk for vascular and cosmetic complications. Grade 5 tissues are characterized as being excessively soft and flexible, with a tip that feels as if it is ‘empty’. This renders patients with Grade 5 noses poor candidates for nonsurgical correction. The skin envelope that is lacking structure and native volume and contains a thin and weak cartilaginous foundation. The skin laxity can lead to injection of higher volumes of filler in an attempt to restore tension and structure, resulting in a bulbous and overfilled nose that lacks definition or projection. There is a higher likelihood of filler migration due to the lack of intrinsic soft tissue tension that would normally hold its shape and help to maintain filler within the area of injection. Figures 1-3 depicts the examination findings of patients with various ratings on the NPAS. See Videos S1–S3 for examples of tactile assessment of three patients exhibiting various NPAS grades of the nasal radix, bridge and tip. In addition, we assessed the inter-rater reliability of the NPAs with a group of 24 practitioners who were asked to independently evaluate six patients using the NPAS. These practitioners received a brief description of the NPAS prior to using the scale. The intraclass correlation coefficient (ICC) was measured using IBM® SPSS Statistics version 29.0 as an indicator of the inter-rater reliability of the NPAS. A two-way random effects ICC model was used with absolute agreement analysis. The ICC was 0.92 (95% CI 0.80–0.99), indicating excellent agreement amongst practitioners after minimal training and no experience. With NSR treatments on the rise, we feel the NPAS is useful for assessing patient candidacy and provides a summary measure for nasal soft tissue pliability. We hope to continue to refine and validate this tool so that it may be used more widely in clinical and research contexts. All authors listed have contributed to the creation of this manuscript. Dr. Ayad Harb has developed the tool and contributed to the writing of this manuscript. Dr. Amane Abdul-Razzak has contributed to the writing of this manuscript and the statistical analysis. Dr. Shahd Twijiri has contributed to the writing of this manuscript and data collection. Ayad Harb, Amane Abdul-Razzak and Shahd Twijiri have no conflicts of interest to declare. This study was conducted in accordance with the principles outlined in the Declaration of Helsinki. Verbal and written consent was obtained for the use of any images in this manuscript. The data that support the findings of this study are available from the corresponding author upon reasonable request. Video S1 Video S2 Video S3 Appendix S1 Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,129
Score d'incertitude au seuil0,740

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,098
Tête enseignante GPT0,397
Écart entre enseignants0,299 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations4
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of Cosmetic DermatologyMême sujetFacial Rejuvenation and Surgery TechniquesTravaux en français237 207