Current Concepts and Emerging Technologies in Aesthetic Outcome Assessment of Breast Reconstruction: A Systematic Review

The review systematically maps the landscape of subjective and objective tools for aesthetic outcome assessment after breast reconstruction and reports their usage frequencies. Relative to prior scattered descriptions of assessment approaches, this review aggregates evidence from 2000 to 2025 through a comprehensive search and explicitly lists subjective tools such as BREAST-Q (35/51, 69%), expert- or panel-based evaluations (17/51, 33%), and the visual analog scale (2/51, 4%), alongside objective methods including 3-dimensional surface imaging, BCCT.core, eye tracking, and artificial intelligence-based analyses. Based on a systematic search of 51 studies involving 7711 participants from 16 countries, with risk of bias assessed using the Joanna Briggs Institute Critical Appraisal Checklist and levels of evidence classified per the Oxford Centre for Evidence-Based Medicine; Level of Evidence 3 (Therapeutic).

Subjective and objective tools capture different domains: subjective tools capture satisfaction with breast appearance, while objective tools quantify morphological parameters and positional landmarks. The review explicitly distinguishes the assessment domains of the two tool categories and notes that BREAST-Q remains the cornerstone of outcome evaluation after breast reconstruction, providing patient-centered perspectives including but not limited to aesthetic perception. Derived from extraction and categorization of assessment characteristics, aesthetic outcome domains, and patient-centered outcomes across the included studies, representing a systematic synthesis of existing evidence.

The review observes a progressive shift toward multimodal evaluation, as no single modality comprehensively addresses all aesthetic domains. Relative to prior practice centered on single tools, the review proposes that future research should integrate subjective and objective assessment methods within a unified framework. Based on comparative synthesis of tool distribution and coverage across the 51 included studies, representing a review-level trend judgment rather than a direct comparison from a single interventional trial.

The review's conclusions apply to aesthetic outcome assessment after implant-based, autologous, or hybrid breast reconstruction, targeting plastic surgery clinicians, researchers, and teams focused on patient-reported outcomes; its classification framework and tool frequencies can guide tool selection and multimodal framework design.

This is a summary-level text that does not provide detailed data, figures, or specific effect sizes from the included studies, so performance differences of different tools in specific populations or reconstruction types cannot be further compared; the specific composition and validation of a multimodal integration framework remain to be clarified by future research.