Validation of photonumeric scales for glabellar, lateral canthal, and forehead lines suggests strong alignment with patient perceptions.
Background Upper facial lines are early signs of aging that impact self-image, underscoring the need for objective, evidence-based tools to support the growing demand for aesthetic interventions. Objectives To develop and validate 4-point photonumeric scales for clinical assessment of glabellar, lateral canthal, and forehead lines at rest and dynamic expression, and evaluate their clinical relevance and alignment with patient-reported perceptions of wrinkle severity. Methods Six 4-point photonumeric scales were developed to assess glabellar, lateral canthal, and forehead lines at rest and during maximum expression. Validation was conducted by five board-certified physicians over two live rating sessions, spaced at least two weeks apart. Participants (n = 96–114 per scale) reflected a diverse range of ages, sexes, and Fitzpatrick skin types. Intrarater and interrater reliability were evaluated using weighted kappa and intraclass correlation coefficient (ICC), respectively. Correlation with participant self-assessments and the Facial Line Distress Scale (FINE) assessed patient alignment. Clinical relevance was confirmed through physician rating of image pairs with known score differences. Results All scales demonstrated high intrarater (mean κ = 0.83–0.91) and interrater reliability (ICC = 0.94–0.98), indicating ‘almost perfect’ agreement. FINE scores showed strong correlation with physician and participant scale ratings. Clinically meaningful 1-grade score differences were supported by non-overlapping 95% CIs between image pairs rated as clinically different and not clinically different, with statistically significant mean differences exceeding 1 point. Conclusions The validated scales demonstrated high reliability, clinical relevance, and strong alignment with patient-reported outcomes, supporting their use as objective tools for clinical assessment.
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Lorenc et al. (2025) studied this question.
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