Current Concepts and Emerging Technologies in Aesthetic Outcome Assessment of Breast Reconstruction

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ID: 314223
2026
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Abstract
BACKGROUND: Aesthetic outcomes are a crucial determinant of the overall success of breast reconstruction. Recently, aesthetic assessment has evolved from relying mainly on subjective impressions to incorporating more quantitative methods. OBJECTIVES: This systematic review summarizes current concepts and emerging technologies in aesthetic outcome assessment after breast reconstruction. METHODS: A comprehensive search of studies evaluating aesthetic outcomes following implant-based, autologous or hybrid breast reconstruction was performed between 2000 and 2025. Assessments were classified as subjective or objective. Extracted variables included assessment characteristics, aesthetic outcome domains and patient-centered outcomes. Risk of bias was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist. Levels of evidence were classified according to the Oxford Centre for Evidence-Based Medicine (OCEBM). RESULTS: A total of 51 studies involving 7,711 participants from 16 countries were included. Subjective tools were most frequently employed, led by the BREAST-Q (35/51, 69%), followed by expert or panel-based evaluations (17/51, 33%) and the visual analogue scale (2/51, 4%). Objective methods were applied in 19 studies and included three-dimensional surface imaging (3D-SI) (8/51, 16%), BCCT.core (7/51, 14%), eye-tracking (3/51, 6%), and AI-based analyses (3/51, 6%). While subjective tools captured satisfaction with breast appearance, objective tools quantified morphological parameters and positional landmarks. CONCLUSIONS: BREAST-Q remains the cornerstone of outcome evaluation after breast reconstruction, providing patient-centered perspectives, including, but not limited to aesthetic perception. A progressive shift toward multimodal evaluation was noticed, as no single modality comprehensively addressed all aesthetic domains. Future research should focus on integrating subjective and objective assessment methods within a unified framework.
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openalex_W7161840731 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Deyu Lyu, Felix H. Vollbach, Irene Mesas, Benedikt Fuchs, Sinan Mert, Constanze Kuhlmann, Christine Hagen, Riccardo E. Giunta, Nikolaus Thierfelder, Nicholas Moellhoff
Journal Aesthetic surgery journal
Year 2026
DOI
10.1093/asj/sjag101
URL
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