Three-dimensional analysis of facial changes in skeletal Class III patients following mandibular setback surgery

To identify the degree of correlation of various parameters using multiple linear regression analysis with soft tissue changes as the response variable. The subjects comprised 10 skeletal Class III patients who had undergone bilateral sagittal split osteotomy (BSSO). The candidates for the explanato...

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Published inJournal of oral and maxillofacial surgery, medicine, and pathology Vol. 28; no. 6; pp. 481 - 487
Main Authors Nishino, Kazuomi, Kohara, Akihiro, Yakita, Yuri, Ochi, Kanako, Hayashi, Takafumi, Takagi, Ritsuo, Kobayashi, Tadaharu, Terada, Kazuto, Saito, Isao
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2016
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ISSN2212-5558
2212-5566
DOI10.1016/j.ajoms.2016.05.006

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Abstract To identify the degree of correlation of various parameters using multiple linear regression analysis with soft tissue changes as the response variable. The subjects comprised 10 skeletal Class III patients who had undergone bilateral sagittal split osteotomy (BSSO). The candidates for the explanatory variables included 10 parameters, such as overjet, overbite, sella–nasion–A point angle (SNA), upper incisor inclination (U1-SN), incisor mandibular plane angle (IMPA), gonial angle, nasolabial angle, menton deviation, soft tissue thickness, and hard tissue changes. These parameters were measured using cephalograms, dental cast models, and a three-dimensional integration model. Finally, 5 parameters were chosen as explanatory variables. A standard regression coefficient (β value) and an adjusted R-square (R*2 value) were used to assess correlations between soft tissue changes and to evaluate the regression equation. In the zygomatic arch and maxillary regions, β values for overjet and SNA were particularly positive and high, whereas those for hard tissue changes were negative and low. In the mandibular central regions, β values for hard tissue changes were positive and high. In the other mandibular regions, β values for menton deviation were higher than those for hard tissue changes. The R*2 values in all regions were greater than 0.5. Overjet and SNA were more strongly associated with soft tissue changes in the zygomatic arch maxillary regions than hard tissue changes. The extent of mandibular retraction and menton deviation was highly correlated with the mandibular central regions and the other mandibular regions, respectively.
AbstractList To identify the degree of correlation of various parameters using multiple linear regression analysis with soft tissue changes as the response variable. The subjects comprised 10 skeletal Class III patients who had undergone bilateral sagittal split osteotomy (BSSO). The candidates for the explanatory variables included 10 parameters, such as overjet, overbite, sella–nasion–A point angle (SNA), upper incisor inclination (U1-SN), incisor mandibular plane angle (IMPA), gonial angle, nasolabial angle, menton deviation, soft tissue thickness, and hard tissue changes. These parameters were measured using cephalograms, dental cast models, and a three-dimensional integration model. Finally, 5 parameters were chosen as explanatory variables. A standard regression coefficient (β value) and an adjusted R-square (R*2 value) were used to assess correlations between soft tissue changes and to evaluate the regression equation. In the zygomatic arch and maxillary regions, β values for overjet and SNA were particularly positive and high, whereas those for hard tissue changes were negative and low. In the mandibular central regions, β values for hard tissue changes were positive and high. In the other mandibular regions, β values for menton deviation were higher than those for hard tissue changes. The R*2 values in all regions were greater than 0.5. Overjet and SNA were more strongly associated with soft tissue changes in the zygomatic arch maxillary regions than hard tissue changes. The extent of mandibular retraction and menton deviation was highly correlated with the mandibular central regions and the other mandibular regions, respectively.
Author Kobayashi, Tadaharu
Saito, Isao
Takagi, Ritsuo
Kohara, Akihiro
Nishino, Kazuomi
Ochi, Kanako
Hayashi, Takafumi
Terada, Kazuto
Yakita, Yuri
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Keywords Standard regression coefficient
Multiple linear regression
Three-dimensional analysis
Soft tissue changes
Mandibular setback surgery
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Snippet To identify the degree of correlation of various parameters using multiple linear regression analysis with soft tissue changes as the response variable. The...
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SubjectTerms Mandibular setback surgery
Multiple linear regression
Soft tissue changes
Standard regression coefficient
Three-dimensional analysis
Title Three-dimensional analysis of facial changes in skeletal Class III patients following mandibular setback surgery
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