Aesthetic surgery journal · 2020
Deep Cheek Fat Volumes and Midfacial Aging.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Tower Jacob I, Gordon Neil A, Paskhover Boris
Аннотация
BACKGROUND: Midfacial volumizing procedures are increasingly common in facial rejuvenation. However, the changes that occur in midfacial fat with aging are poorly understood.
OBJECTIVES: The aim of this study was to determine how deep cheek fat volume is predicted by age.
METHODS: We conducted retrospective cross-sectional and longitudinal studies of patients based on facial computed tomography (CT) scans. In the cross-sectional cohort, multiple linear regression analysis was performed to model the relations between age and deep cheek fat volumes. In the longitudinal analysis, changes to deep cheek fat volumes were tracked among subjects who underwent multiple facial CT scans.
RESULTS: The cross-sectional cohort comprised 109 patients. The mean (SD) age of the subjects was 59.7 (15.0) years (range, 21.7-91.1 years). A linear regression analysis showed that increasing age was associated with increasing deep cheek fat volume (β = 0.015, P < 0.001). Additional regression analyses showed that the gain of fat with aging was more pronounced in the caudal aspect of the cheek (β = 0.007, P < 0.001) than in the cephalad (β = 0.005, P < 0.001). Twenty-three subjects were identified for longitudinal analysis. The mean (SD) ages at initial and final imaging time points were 50.0 (5.8) and 60.3 (5.2) years. In the deep fat compartment, there was an average gain of 0.23 mL over 10.3 years (P = 0.03).
CONCLUSIONS: Age is an important predictor of midfacial deep cheek fat volume. In this study, there is no evidence of adipose volume loss in the deep cheek compartment. Rather, aging was associated with an increase in deep cheek fat, possibly reflecting pseudoherniation of buccal fat.
OBJECTIVES: The aim of this study was to determine how deep cheek fat volume is predicted by age.
METHODS: We conducted retrospective cross-sectional and longitudinal studies of patients based on facial computed tomography (CT) scans. In the cross-sectional cohort, multiple linear regression analysis was performed to model the relations between age and deep cheek fat volumes. In the longitudinal analysis, changes to deep cheek fat volumes were tracked among subjects who underwent multiple facial CT scans.
RESULTS: The cross-sectional cohort comprised 109 patients. The mean (SD) age of the subjects was 59.7 (15.0) years (range, 21.7-91.1 years). A linear regression analysis showed that increasing age was associated with increasing deep cheek fat volume (β = 0.015, P < 0.001). Additional regression analyses showed that the gain of fat with aging was more pronounced in the caudal aspect of the cheek (β = 0.007, P < 0.001) than in the cephalad (β = 0.005, P < 0.001). Twenty-three subjects were identified for longitudinal analysis. The mean (SD) ages at initial and final imaging time points were 50.0 (5.8) and 60.3 (5.2) years. In the deep fat compartment, there was an average gain of 0.23 mL over 10.3 years (P = 0.03).
CONCLUSIONS: Age is an important predictor of midfacial deep cheek fat volume. In this study, there is no evidence of adipose volume loss in the deep cheek compartment. Rather, aging was associated with an increase in deep cheek fat, possibly reflecting pseudoherniation of buccal fat.