The trifurcated SMAS flap: Three-part segmentation of the conventional flap for improved results in the midface, cheek, and neck

1995 ◽  
Vol 19 (5) ◽  
pp. 415-420 ◽  
Author(s):  
Bruce F. Connell ◽  
Timothy J. Marten
Keyword(s):  
Author(s):  
Safoura Rezapour Lakani ◽  
Mirela Popa ◽  
Antonio J. Rodriguez-Sanchez ◽  
Justus Piater
Keyword(s):  

2019 ◽  
Vol 39 (9) ◽  
pp. 927-942 ◽  
Author(s):  
Andrew A Jacono ◽  
A Sean Alemi ◽  
Joseph L Russell

AbstractBackgroundSub-superficial musculo-aponeurotic system (SMAS) rhytidectomy techniques are considered to have a higher complication profile, especially for facial nerve injury, compared with less invasive SMAS techniques. This results in surgeons avoiding sub-SMAS dissection.ObjectivesThe authors sought to aggregate and summarize data on complications among different SMAS facelift techniques.MethodsA broad systematic search was performed. All included studies: (1) described a SMAS facelifting technique categorized as SMAS plication, SMASectomy/imbrication, SMAS flap, high lateral SMAS flap, deep plane, and composite; and (2) reported the number of postoperative complications in participants. Meta-analysis was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.ResultsA total 183 studies were included. High lateral SMAS (1.85%) and composite rhytidectomy (1.52%) had the highest rates of temporary nerve injury and were the only techniques to show a statistically significant difference compared with SMAS plication (odds ratio [OR] = 2.71 and 2.22, respectively, P < 0.05). Risk of permanent injury did not differ among techniques. An increase in major hematoma was found for the deep plane (1.22%, OR = 1.67, P < 0.05) and SMAS imbrication (1.92%, OR = 2.65, P < 0.01). Skin necrosis was higher with the SMAS flap (1.57%, OR = 2.29, P < 0.01).ConclusionsThere are statistically significant differences in complication rates between SMAS facelifting techniques for temporary facial nerve injury, hematoma, seroma, necrosis, and infection. Technique should be selected based on quality of results and not the complication profile.Level of Evidence: 2


2020 ◽  
Vol 1 ◽  
pp. 2365-2374
Author(s):  
J. Redeker ◽  
P. Gebhardt ◽  
A.-K. Reichler ◽  
E. Türck ◽  
K. Dröder ◽  
...  

AbstractThis paper presents an algorithm that contributes to an automatic decomposition of a mechanical part based on geometric features and methods of unsupervised machine learning. For the development of the algorithm, existing techniques of 3D shape segmentation, especially surface-based part segmentation procedures are reviewed and important areas of activities are revealed. The developed multi-step approach results in an abstract product model. This representation leads to a new way of designing and redesigning parts for the novel hybrid manufacturing concept Incremental Manufacturing (IM).


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