Deep Plane Facelift: An Evaluation of the High-SMAS versus Standard Incision Points

2018 ◽  
Vol 34 (06) ◽  
pp. 646-650
Author(s):  
Chiara Amodeo ◽  
Vishad Nabili ◽  
Gregory Keller ◽  
Jordan Sand
Keyword(s):  
Skin Flap ◽  
Vertical Direction ◽  
Senior Author ◽  
Entry Point ◽  
Face Lift ◽  
Vertical Movements ◽  
Plane Face ◽  
Superficial Musculoaponeurotic System ◽  
Entry Points ◽  
Tissue Movement

AbstractIn surgery of the aging face, operative adjustments of the superficial musculoaponeurotic system (SMAS) enhance facial contours. The senior author has observed that the standard deep plane face lift entry points on the SMAS do not provide as much tissue movement in a vertical direction as high-SMAS deep plane face lift entry points. In this study, tissue movement was measured comparing the conventional SMAS entry point with a high-SMAS entry point for deep plane face lifts. Institutional review board approval was obtained. Fourteen facelift patients were enrolled, 10 female and 4 male. Average age was 63.4 (50–81) years. Tissue movement at three points along the jaw line was measured intraoperatively. Standard SMAS entry point suspension resulted in average vertical movements of 6.4, 10.3, and 13.8 mm and average horizontal movements of 3.5, 5.7, and 6.5 mm. High-SMAS entry point resulted in average vertical movements of 11.8, 17.9, and 24.1 mm and average horizontal movements of 5.8, 9.8, and 9.9 mm. This resulted in a 77.3% increase (p = 0.03) in vertical movement and a 61.4% increase (p = 0.02) in horizontal movement with a high-SMAS entry compared with standard SMAS entry. The high-SMAS entry point for a deep plane facelift resulted in a significant increase in lift for both the horizontal and vertical vector on the facial skin flap when compared with the conventional entry.

The Effect of Extended SMAS Face-lift on Earlobe Ptosis and Pseudoptosis

2021 ◽  
pp. 074880682110390
Author(s):  
Allison Altman ◽  
Zachary Sin ◽  
Erik Dan Tran ◽  
Jeanie Nguyen ◽  
Arian Mowlavi
Keyword(s):  
Protective Effect ◽  
Senior Author ◽  
Face Lift ◽  
Skin Tension ◽  
Neck Lift ◽  
Clinical Observations ◽  
Superficial Musculoaponeurotic System ◽  
Cheek Flap ◽  
Fine Tune ◽  
Caudal Segment

In this study, we explore the changes in the earlobe segments following an extended superficial musculoaponeurotic system (SMAS) face-lift and neck lift. We proposed to delineate the effect of the cheek and neck skin tension vectors on the earlobe based on the amount of excised skin length. A retrospective study identified patients who underwent extended SMAS rhytidectomy performed by the senior author (A.M.) at the Cosmetic Plastic Surgery Institute (CPSI) from 2017 to 2020. A total of 34 North American Caucasians, who had preoperative and postoperative photographs available for comparison, were evaluated. Preoperative and postoperative cephalic (the distance from the intertragal notch to the otobasion inferius, abbreviated as I to O) and caudal earlobe segment (the distance from the otobasion inferius to the subaurale, abbreviated as O to S) heights were collected. The change from the postoperative to preoperative measurements was calculated. The effects of the degree of cheek skin (superior ear [SE]) and neck skin (mastoid peak [MP]) excision lengths were then determined by comparing the change in I to O and O to S. The postoperative attached cephalic segment (15.94 ± 1.02 mm) increased significantly compared with the preoperative attached cephalic segment (12.99 ± 1.03 mm). The postoperative free caudal segment (3.62 ± 0.81 mm) decreased significantly compared with the preoperative free caudal segment (5.44 ± 0.95 mm). The SE median was found to be 3.0 cm and the MP median was found to be 3.5 cm. I to O increased by 3.85 mm for SE ≤3.0 cm compared with only 1.57 mm for SE >3.0 cm. O to S decreased by 2.79 mm for SE ≤3.0 cm compared with only decrease of 0.14 mm for SE >3.0 cm. I to O increased by only 1.67 mm for MP < 3.5 cm. O to S decreased less dramatically by 0.55 mm for MP ≤3.5 cm compared with decrease of 2.39 mm for MP >3.5 cm. These data demonstrate that more aggressive SE >3.0 cm cheek excision lengths resulted in a protective effect on decreasing the free caudal segment of the earlobe. More aggressive excisions of the cheek demonstrate a protective effect on preserving the free earlobe caudal segment, whereas more aggressive neck skin excisions result in higher propensity for loss of the free earlobe caudal segment. In our study, we demonstrate findings observed with clinical observations that a face-lift and neck lift will result in increase in the attached cephalic earlobe segment height (I to O) and a decrease in caudal free earlobe segment height (O to S). These findings may assist plastic surgeons when trying to fine-tune the earlobe aesthetics during face-lift and neck lift. If the patient has a small free hanging earlobe, the more aggressive pull on the cheek flap will result in less reduction in the earlobe hang.

Simultaneous Deep-Plane Face Lift and Trichloroacetic Acid Peel

1994 ◽  
Vol 93 (1) ◽  
pp. 86-93 ◽  
Author(s):  
David L. Dingman ◽  
Jeffrey Hartog ◽  
Maria Siemionow
Keyword(s):  
Trichloroacetic Acid ◽  
Face Lift ◽  
Plane Face

Modified Superficial Musculoaponeurotic System Face-Lift: A Review of 327 Consecutive Procedures and a Patient Satisfaction Assessment

2010 ◽  
Vol 35 (2) ◽  
pp. 147-155 ◽  
Author(s):  
Manuel Francisco Castello ◽  
Davide Lazzeri ◽  
Alessandro Silvestri ◽  
Tommaso Agostini ◽  
Diego Gigliotti ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Face Lift ◽  
Superficial Musculoaponeurotic System

scholarly journals 3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Binbin Wang ◽  
Tingli Su ◽  
Xuebo Jin ◽  
Jianlei Kong ◽  
Yuting Bai
Keyword(s):  
Learning Algorithm ◽  
Gait Recognition ◽  
Vertical Direction ◽  
Recognition Algorithm ◽  
Measurement Unit ◽  
Complex Environments ◽  
Position Change ◽  
Vertical Movements ◽  
Moving Direction ◽  
Optimal Gait

An inertial measurement unit-based pedestrian navigation system that relies on the intelligent learning algorithm is useful for various applications, especially under some severe conditions, such as the tracking of firefighters and miners. Due to the complexity of the indoor environment, signal occlusion problems could lead to the failure of certain positioning methods. In complex environments, such as those involving fire rescue and emergency rescue, the barometric altimeter fails because of the influence of air pressure and temperature. This paper used an optimal gait recognition algorithm to improve the accuracy of gait detection. Then a learning-based moving direction determination method was proposed. With the Kalman filter and a zero-velocity update algorithm, different gaits could be accurately recognized, such as going upstairs, downstairs, and walking flat. According to the recognition results, the position change in the vertical direction could be reasonably corrected. The obtained 3D trajectory involving both horizontal and vertical movements has shown that the accuracy is significantly improved in practical complex environments.

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