A Simple Combination Approach for Costal Cartilage Augmentation Rhinoplasty

2020 ◽  
Vol 31 (2) ◽  
pp. 340-342
Author(s):  
Congzhen Qiao ◽  
Wenxin Yu ◽  
Wei Gao ◽  
Yajing Qiu ◽  
Xiaoxi Lin
Keyword(s):  
Costal Cartilage ◽  
Augmentation Rhinoplasty ◽  
Combination Approach ◽  
Simple Combination

scholarly journals Clinical Analysis of Augmentation Rhinoplasty with Tutoplast-Processed Costal Cartilage

2009 ◽  
Vol 20 (2) ◽  
pp. 224-228
Author(s):  
Il Kang Kim ◽  
Kyung Min Choi ◽  
Jae Ho Kang ◽  
Jang Hee Han ◽  
Choon Dong Kim
Keyword(s):  
Costal Cartilage ◽  
Clinical Analysis ◽  
Augmentation Rhinoplasty

Chondroplastic Graft Augmentation Rhinoplasty

1990 ◽  
Vol 104 (7) ◽  
pp. 539-543 ◽  
Author(s):  
Michael G. Spencer
Keyword(s):  
Costal Cartilage ◽  
Modified Technique ◽  
Augmentation Rhinoplasty ◽  
Small Series

AbstractA challenging surgical problem is the correction of supra-tip depression of the nose following collapse of nasal septal support. Numerous materials have been used in augmentation rhinoplasties attempting to correct this deformity, all having certain disadvantages. A modified technique is described in which costal cartilage surrounded by perichondrium is grafted in such noses; the results of a small series is discussed. The problems of graft distortion and resorbtion appear to have been satisfactorily overcome by using this procedure.

scholarly journals Diced Costal Cartilage for Augmentation Rhinoplasty

2015 ◽  
Vol 128 (19) ◽  
pp. 2679-2681 ◽  
Author(s):  
Ji-Guang Ma ◽  
Ke-Ming Wang ◽  
Xiao-Hui Zhao ◽  
Lei Cai ◽  
Xin Li
Keyword(s):  
Costal Cartilage ◽  
Augmentation Rhinoplasty

P004: Augmentation Rhinoplasty with Autogenous Costal Cartilage

2006 ◽  
Vol 135 (2_suppl) ◽  
pp. P215-P216
Author(s):  
Chuan-Hsiang Kao ◽  
Chung-Ching Hung ◽  
Hsing-Won Wang
Keyword(s):  
Costal Cartilage ◽  
Augmentation Rhinoplasty

Additivity of nonlinear biomass equations

2001 ◽  
Vol 31 (5) ◽  
pp. 865-878 ◽  
Author(s):  
Bernard R Parresol
Keyword(s):  
Pinus Elliottii ◽  
Error Modeling ◽  
Prediction Intervals ◽  
Nonlinear Functions ◽  
Tree Biomass ◽  
Combination Approach ◽  
Nonlinear Joint ◽  
Theoretical Considerations ◽  
Total Tree ◽  
Simple Combination

Two procedures that guarantee the property of additivity among the components of tree biomass and total tree biomass utilizing nonlinear functions are developed. Procedure 1 is a simple combination approach, and procedure 2 is based on nonlinear joint-generalized regression (nonlinear seemingly unrelated regressions) with parameter restrictions. Statistical theory is given for construction of confidence and prediction intervals for the two procedures. Specific examples using slash pine (Pinus elliottii Engelm. var. elliottii) biomass data are presented to demonstrate and clarify the methods behind nonlinear estimation, additivity, error modeling, and the formation of confidence and prediction intervals. Theoretical considerations and empirical evidence indicate procedure 2 is generally superior to procedure 1. It is argued that modeling the error structure is preferable to using the logarithmic transformation to deal with the problem of heteroscedasticity. The techniques given are applicable to any quantity that can be disaggregated into logical components.

Irradiated costal cartilage in augmentation rhinoplasty

2007 ◽  
Vol 18 (4) ◽  
pp. 274-283 ◽  
Author(s):  
Stephen M. Weber ◽  
Ted A. Cook ◽  
Tom D. Wang
Keyword(s):  
Costal Cartilage ◽  
Augmentation Rhinoplasty
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