scholarly journals Soft tissue changes after anterior maxillary osteotomy by using 3D CBCT scanning.

2018 ◽  
Vol 4 (4) ◽  
pp. 1245-1250 ◽  
Author(s):  
Ahmed AL-Omar ◽  
Usama AL-Dakroroy
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Cone Beam Computed Tomography ◽  
Soft Tissues ◽  
Mean Value ◽  
Cone Beam ◽  
Maxillary Osteotomy ◽  
Tissue Changes ◽  
The Mean ◽  
Soft Tissue Changes

The objective of this study was to evaluate the soft tissue changes after anterior maxillary osteotomy using cone beam computed tomography. The study included twelve patients diagnosed as suffering from an excess of the anterior part of maxilla and required surgical correction by anterior maxillary osteotomy. Assessment of Cone beam computed tomography in evaluation the soft tissue changes. All cases subjected to anterior maxillary osteotomy using modified Cuper technique. Follow up of cases was does clinically and radio- graphically by cone beam computed tomography. The results of the study proved that the statistically significant increase in mean Nasolabial angle after 6 months was 5.2 degrees, the mean value of nasal width after 6 months was 0,9mm. The mean value of Philtrum length was 3.3mm. In conclusion, Cone Beam Computed Tomography can be used to obtain dimensionally accurate linear and angular measurement from bony maxillofacial structure and landmarks and allows accurate, three-dimensional imaging of hard and soft tissues.

Soft-tissue changes after maxillomandibular advancement surgery assessed with cone-beam computed tomography

2010 ◽  
Vol 137 (4) ◽  
pp. S86-S93 ◽  
Author(s):  
Michael S. Ryckman ◽  
Steven Harrison ◽  
Don Oliver ◽  
Christian Sander ◽  
Andrew A. Boryor ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Maxillomandibular Advancement ◽  
Tissue Changes ◽  
Soft Tissue Changes

scholarly journals A Perioral Soft Tissue evaluation after Orthognathic Surgery Using Three-Dimensional Computed Tomography Scan

2018 ◽  
Vol 12 (1) ◽  
pp. 366-376
Author(s):  
Rahul Tiwari ◽  
P. Srinivas Chakravarthi ◽  
Vivekanand S. Kattimani ◽  
Krishna Prasad Lingamaneni
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Orthognathic Surgery ◽  
Soft Tissues ◽  
Three Dimensional ◽  
Computed Tomography Scan ◽  
Nasolabial Angle ◽  
Tissue Changes ◽  
Soft Tissue Changes ◽  
Tomography Scan

Background: Facial appearance is an important factor, affects social and psychological well-being. The ideal positioning of jaws and soft tissues is crucial during orthognathic surgery for a better outcome, but the response of facial soft tissues does not always reflect the exact movements of the underlying jaws in 1:1 ratio. So, soft tissue changes following orthognathic surgery require utmost attention during surgical correction to make successful treatment. Aims and Objectives: Evaluation of perioral soft tissue changes after orthognathic surgical procedures. The objectives of the study were to assess and compare pre and post-operative perioral soft tissue changes of lip width, nasolabial and mentolabial angle using Three Dimensional Computed Tomography scan (3DCT). Patient and Methods: The study involved ten patients for evaluation requiring orthognathic surgical procedures (maxillary or mandibular anteroposterior excess or deficiency, transverse deformities, vertical maxillary excess and facial asymmetry) presented to the department of oral and maxillofacial surgery during 2014-2016. Pre and post-operative 3DCT scan were taken after 12 months using iCT 256 slice whole body CT scanner and evaluated for changes using Dicom PMS D view. Results: Significant changes were observed in nasolabial angle after maxillary advancement (1.81°) and maxillary setback procedure (2.73°). The mentolabial angle was significantly increased with mandibular setback procedures (3.27°). Mandibular advancement procedures showed both increase (3.6°) and decrease (7.6°) in mentolabial angle. Conclusion: 3DCT showed a significant difference in perioral soft tissue changes in nasolabial and mentolabial angle but no significant change was observed in lip width. 3DCT is a reliable tool for 3D assessment. The conventional thought of changes in Nasolabial angle after surgery is changing due to the underlying factors which should be considered for prediction.

scholarly journals Articular Eminence Inclination, Height, and Condyle Morphology on Cone Beam Computed Tomography

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Dilhan İlgüy ◽  
Mehmet İlgüy ◽  
Erdoğan Fişekçioğlu ◽  
Semanur Dölekoğlu ◽  
Nilüfer Ersan
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Mean Value ◽  
Cone Beam ◽  
Articular Eminence ◽  
Age And Gender ◽  
Mean Values ◽  
The Mean ◽  
And Gender ◽  
The Relationship

Aim. The aim of the present study was to examine the relationship between articular eminence inclination, height, and thickness of the roof of the glenoid fossa (RGF) according to age and gender and to assess condyle morphology including incidental findings of osseous characteristics associated with osteoarthritis (OA) of the temporomandibular joint (TMJ) using cone beam computed tomography (CBCT).Materials and Methods. CBCT images of 105 patients were evaluated retrospectively. For articular eminence inclination and height, axial views on which the condylar processes were seen with their widest mediolateral extent being used as a reference view for secondary reconstruction. Condyle morphology was categorized both in the sagittal and coronal plane.Results. The mean values of eminence inclination and height of males were higher than those of females (P<0.05). There were significant differences in the RGF thickness in relation to sagittal condyle morphology. Among the group of OA, the mean value of the RGF thickness for “OA-osteophyte” group was the highest (1.59 mm), whereas the lowest RGF values were seen in the “OA-flattening.”Conclusion. The sagittal osteoarthritic changes may have an effect on RGF thickness by mechanical stimulation and changed stress distribution. Gender has a significant effect on eminence height (Eh) and inclination.

scholarly journals Three-dimensional evaluation of mid-facial soft tissue changes after expansion using micro-implant-supported maxillary skeletal expander

2020 ◽  
Author(s):  
Hieu Nguyen ◽  
Jeong Won Shin ◽  
Hai-Van Giap ◽  
Ki Beom Kim ◽  
Hwa Sung Chae ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Computerized Tomography ◽  
Soft Tissues ◽  
Cone Beam ◽  
Maxillary Expansion ◽  
Hard Tissue ◽  
Facial Soft Tissue ◽  
Tissue Changes ◽  
Cone Beam Computerized Tomography ◽  
Soft Tissue Changes

Abstract Background The aim of this study was to assess the mid-facial soft tissue changes induced by a micro-implant-supported maxillary skeletal expander in late adolescents and young adults by cone-beam computerized tomography and the correlations between hard and soft tissue changes after expansion with maxillary skeletal expander.Subjects and methods Twenty patients with maxillary transverse deficiency treated with maxillary skeletal expander were selected. Cone-beam computerized tomography images taken before and after expansion were superimposed to measure the changes in soft and hard tissue landmarks.Results Anterior nasal spine, posterior nasal spine, and alveolar bone width were significantly increased after expansion with maxillary skeletal expander (p < 0.05). The average lateral movement of the cheek points was 1.13 ± 0.33 mm (left) and 1.41 ± 0.39 mm (right), while that of the alar curvature points was 1.07 ± 0.72 mm (left) and 1.06 ± 0.68 (right) (p < 0.05). The average forward displacement of the cheek points was 0.42 ± 0.66 mm (left) and 0.60 ± 0.58 mm (right), whereas that of the alar curvature points was 0.80 ± 0.67 mm (left) and 0.68 ± 0.56 mm (right) side (p < 0.05). The average downward movement of the subnasale was 0.40 ± 0.37 mm (p < 0.05). The changes in cheek points and alar curvature points on both sides significantly correlated with hard-tissue changes (p < 0.05).Conclusions Maxillary expansion using maxillary skeletal expander resulted in significant lateral and forward movement of soft tissues of the cheek and alar curvature points on both sides and correlated with the maxillary suture opening at the anterior and posterior nasal spines.

scholarly journals Usefulness of measuring radiographic density of axis vertebra in patients at risk of osteoporosis: A cone-beam computed tomography study

2018 ◽  
Vol 12 (04) ◽  
pp. 496-501
Author(s):  
Mustafa Alkhader ◽  
Mohammad S. Alrashdan ◽  
Yousef Khader
Keyword(s):  
Computed Tomography ◽  
At Risk ◽  
High Risk ◽  
Cone Beam Computed Tomography ◽  
Predictive Power ◽  
Mean Value ◽  
Low Risk ◽  
Cone Beam ◽  
Patients At Risk ◽  
The Mean

ABSTRACT Objective: Using cone-beam computed tomography (CBCT) images, the aim of the study was to evaluate the usefulness of measuring radiographic density of the axis vertebra (RDAV) in patients at risk of osteoporosis. Materials and Methods: Two hundred and forty-seven old patients (109 males and 138 females) aged between 50 and 80 years (mean age: 59.68 ± 7.27) were examined by CBCT. Using InVivoDental, v. 5.0 (Anatomage Inc., San Jose, CA), RDAV and mental index (MI) were measured twice and correlated using Pearson's correlation coefficients. Patients were divided into two categories: high risk and low risk of osteoporosis using 3.1 mm of MI as a cutoff value, and the mean value of RDAV was compared and correlated using independent samples' t-test and regression analysis. Receiver-operating characteristic (ROC) curve analysis was also used to examine the predictive power of RDAV. Results: The mean value of RDAV was moderately correlated with MI (r = 0.32), and in patients at low risk of osteoporosis, the mean value of RDAV was significantly higher than in patients at high risk of osteoporosis. In multivariate binary logistic regression, the odds of being at risk of osteoporosis decreased by 1% with one unit increase in RDAV (odds ratio = 0.988, 95% confidence interval: 0.983–0.993; P < 0.005). ROC analysis showed that the mean value of RDAV had a high predictive power for predicting patients at risk of osteoporosis (area under the curve = 0.761 for females and 0.649 for males). Conclusions: Measuring RDAV is considered useful in predicting patients at risk of osteoporosis.

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