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This article provides the facial plastic surgeon with anatomic and embryologic evidence supporting use of the deep-plane technique and understanding the evolution of the technique over decades to the vertical platysma advancement for optimal treatment of facial aging. The original description of the deep-plane rhytidectomy described a basic subsuperficial musculoaponeurotic system dissection in the midface. This plane of dissection provides access to deeper anatomic structures. A detailed description of the procedure is provided to allow safe and consistent performance. Insights into anatomic landmarks, technical nuances, and alternative approaches for facial variations are presented., Competing Interests: Disclosure The authors have nothing to disclose., (Copyright © 2020 Elsevier Inc. All rights reserved.)

This article provides facial plastic surgeons with the insight to avoid and address common pitfalls in neck procedures. Many aesthetic issues are created from overtreatment or undertreatment of components of the neck. Using the platysma muscle as the divide, ease of access to superficial anatomy leads to overtreatment problems, whereas difficulty of access to deeper structures leads to undertreatment problems and to overall imbalances. Strategies to accurately assess and treat all structures of the neck proportionally can be used to both avoid and treat any neck aesthetic issues. The advent of minimally invasive techniques has resulted in new complications., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: The changes that occur to midfacial fat with increasing age and BMI are poorly understood. The aim of this study was to determine how superficial cheek fat volume and distribution are differentially predicted by changes in BMI versus age., Methods: We conducted a retrospective observational study of patients with facial computed tomography scans. Superficial cheek fat volumes were measured, and multiple linear regression analysis was performed to model the relationships between cheek fat and corresponding sex, age, and BMI data., Results: A total of 109 patients were included in our analysis (51 male, 58 female). The subjects' ages ranged from 21.7 to 91.1 years with a mean (SD) age of 59.7 (15.0) years. The mean (SD) superficial cheek volume of the subjects was 10.46 (2.57) cc. Female subjects had a significantly greater mean total superficial cheek fat volume compared to male subjects (11.18 cc vs. 9.64 cc; P < 0.001). The results of multiple linear regression analysis indicated that together, age, sex, and BMI explained 50.8% of the variance in cheek fat volumes (R 2  = 0.51, P < 0.001). BMI significantly predicted total cheek fat volume (β = 0.239, P < 0.001), in addition to age (β = 0.029, P < 0.017) and sex (β = - 1.183, P = 0.001; female = 0, male = 1). Age predicted the greatest gain of fat in the caudal subdivision of cheek (β = 0.015, P < 0.001), whereas BMI predicted the greatest gain in the cephalad subdivision (β = 0.106, P < 0.001)., Conclusions: Age, sex, and BMI are important predictors of midfacial fat volume. This study shows that increases in age and BMI differentially predict the distribution of superficial cheek fat., 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 .