ArticleAesthetic plastic surgery2026
LA VISION
Article in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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1 author.
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Abstract
backgroundHyaluronic acid (HA) filler-based aesthetic improvement of the lips is popular with patients. However, it is complicated by great diversity in individual desires and underlying morphology. Many injection techniques have been published, but there is a need to integrate these within a methodological framework for codified lip analysis and treatment planning. The LA VISION Method provides such a framework. This paper describes the methodology, explains the coding language, and illustrates its clinical application.
methodsThe LA VISION Method is composed of three consecutive and interdependent phases: (1) MAP, which establishes the morpho-geometric structure of the lips through anthropometric lines and defined topographic mapping, using a novel coding system; (2) ASSESS, which collects and analyzes patient-specific information, such as aesthetic desires, detailed lip morphology, and facial proportions, to define their current and ideal lip structure; and (3) PLAN, which translates the assessment into a tailored logic-based injection strategy to convert lip structure towards the defined ideal and individual shape.
resultsAn initial cohort of 400 patients (mean age: 41.0 years; 53.2% female) was treated using a mean filler volume of 1.00 ± 0.01 mL (first session). Adverse events were typically localized and mild in severity; no major complications were observed. Patient-reported outcomes were positive.
conclusionsThe LA VISION Method provides a systematic, logical, clinically usable approach with a reproducible decision logic for lip analysis and injection planning using HA fillers. It also creates a common language for clinician training, documentation, communication with peers and patients, and future digital integration. Further studies are warranted. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.