Space for second and third molar eruption

2006 ◽  
Vol 129 (5) ◽  
pp. 594-595
Author(s):  
Pawan Gautam ◽  
Ashima Valiathan
Keyword(s):  
Third Molar ◽  
Third Molar Eruption

scholarly journals The Frequency of Mandibular Third Molar Impaction in Different Types of Vertical Skeletal Faces

2021 ◽  
Vol 30 (02) ◽  
pp. 118-123
Author(s):  
Sana Viqar ◽  
◽  
Sadia Rizwan ◽  
Syed Shah Faisal ◽  
Syed Sheeraz Hussain
Keyword(s):  
Third Molar ◽  
Third Molars ◽  
Skeletal Malocclusion ◽  
Mandibular Third Molar ◽  
Lateral Cephalograms ◽  
Significant Difference ◽  
Pre Treatment ◽  
Mandibular Third Molars ◽  
Facial Types ◽  
Third Molar Eruption

OBJECTIVE: To determine the frequency of mandibular third molar impaction in different vertical skeletal facial types. METHODOLOGY: Data was collected using pre-treatment records including orthodontic files, pre-treatment lateral cephalograms and OPGs of 90 orthodontic patients. Patients from both genders were included. The age group of selected patients was 18-30 years. Vertical skeletal malocclusion was measured using facial angle and mandibular plane angle on cephalogram to group the subjects into Mesiofacial, Brachyfacial and Dolichofacial patients. Third molar eruption status was assessed using OPG. RESULTS: Results showed that erupted third molars were mostly found in brachyfacial patients. Among 32 erupted mandibular third molars, 16 belong to brachyfacial, 11 belonged to mesiofacial and 5 belonged to dolichofacial group. Complete impaction of mandibular third molar was most common among dolichofacial patients. Among 29 completely impacted mandibular third molars, 14 belong to dolichofacial, 9 belonged to mesiofacial and 6 belonged to brachyfacial group. No significant difference was found for partially impacted third molars among the three groups of facial types. There was higher prevalence of mandibular third molar impaction in females as compared to males. CONCLUSION: Frequency of third molar impaction was found to be highest in dolichofacial patients and lowest in brachyfacial patients due to forward direction of mandibular growth contributing to greater resorption of the anterior border of ramus and the additional space required for third molar eruption.

Prediction of Third Molar Eruption

2003 ◽  
Vol 37 (2) ◽  
pp. 103-112
Author(s):  
Ragini ◽  
Navjot Singh ◽  
Sandeep Goyal ◽  
Prajeesh Padmanabhan ◽  
Puneet Munjal
Keyword(s):  
Third Molar ◽  
Third Molar Eruption

scholarly journals Adequacy of molar distalization after second and third molar eruption- a case report

2018 ◽  
Vol 6 (2) ◽  
pp. 50
Author(s):  
Sarath Babu Balina ◽  
Durga Harsha G V ◽  
Padmapriya C V ◽  
Varma DPK ◽  
Goutham C V
Keyword(s):  
Third Molar ◽  
Class Ii ◽  
Class Ii Malocclusion ◽  
Average Growth ◽  
Mini Implants ◽  
Maxillary Molars ◽  
Extraction Therapy ◽  
Patient Reported ◽  
Maxilla And Mandible ◽  
Third Molar Eruption

Adult patients with class II malocclusion can be treated routinely by extraction therapy. In the recent decades there was increasing popularity towards non-extraction treatment. Distalization of maxillary molars is one of the prime treatment modality to correct mild to moderate class II malocclusion cases with esthetically acceptable profile. A 16 years old female patient reported with irregularly placed upper front teeth and was diagnosed as Angle’s Class II malocclusion with orthognathic maxilla and mandible, average growth pattern. Treatment was planned to distalize the entire maxillary arch using mini implants as skeletal anchorage. 4.0 mm of maxillary molars were distalized, class I molar and canine relation were achieved bilaterally within span of 10 months without altering the patient’s existing profile.  

Third-molar eruption prediction

1985 ◽  
Vol 88 (2) ◽  
pp. 177
Author(s):  
Michael L. Jacobsen
Keyword(s):  
Third Molar ◽  
Third Molar Eruption

scholarly journals Radiographic assessment of lower third molar eruption in different anteroposterior skeletal patterns and age-related groups

2014 ◽  
Vol 85 (4) ◽  
pp. 577-584 ◽  
Author(s):  
Aleksandar Jakovljevic ◽  
Emira Lazic ◽  
Ivan Soldatovic ◽  
Nenad Nedeljkovic ◽  
Miroslav Andric
Keyword(s):  
Logistic Regression ◽  
Age Groups ◽  
Third Molar ◽  
Width Ratio ◽  
Class Iii ◽  
Second Molar ◽  
Age Related ◽  
Mandibular Third Molar ◽  
Lateral Cephalograms ◽  
Third Molar Eruption

ABSTRACT Objective:  To analyze radiographic predictors for lower third molar eruption among subjects with different anteroposterior skeletal relations and of different age groups. Materials and Methods:  In total, 300 lower third molars were recorded on diagnostic digital orthopantomograms (DPTs) and lateral cephalograms (LCs). The radiographs were grouped according to sagittal intermaxillary angle (ANB), subject age, and level of lower third molar eruption. The DPT was used to analyze retromolar space, mesiodistal crown width, space/width ratio, third and second molar angulation (α, γ), third molar inclination (β), and gonion angle. The LC was used to determine ANB, angles of maxillar and mandibular prognathism (SNA, SNB), mandibular plane angle (SN/MP), and mandibular lengths. A logistic regression model was created using the statistically significant predictors. Results:  The logistic regression analysis revealed a statistically significant impact of β angle and distance between gonion and gnathion (Go-Gn) on the level of lower third molar eruption (P < .001 and P < .015, respectively). The retromolar space was significantly increased in the adult subgroup for all skeletal classes. The lower third molar impaction rate was significantly higher in the adult subgroup with the Class II (62.3%) compared with Class III subjects (31.7%; P < .013). Conclusion:  The most favorable values of linear and angular predictors of mandibular third molar eruption were measured in Class III subjects. For valid estimation of mandibular third molar eruption, certain linear and angular measures (β angle, Go-Gn), as well as the size of the retromolar space, need to be considered.

The effects of dental wear on third molar eruption and on the curve of Spee in human archaeological dentitions

1999 ◽  
Vol 44 (11) ◽  
pp. 925-934 ◽  
Author(s):  
Anita Sengupta ◽  
David K. Whittaker ◽  
Geraldine Barber ◽  
Juliet Rogers ◽  
Jonathan H. Musgrave
Keyword(s):  
Third Molar ◽  
Dental Wear ◽  
Curve Of Spee ◽  
Third Molar Eruption

scholarly journals Dental age estimation using radiographic assessment of third molar eruption among 10–20-year-old Ugandan population

2019 ◽  
Vol 11 (1) ◽  
pp. 16 ◽  
Author(s):  
AnnetMutebi Kutesa ◽  
CharlesMugisha Rwenyonyi ◽  
CatherineLutalo Mwesigwa ◽  
Mbabali Muhammad ◽  
GraceSsanyu Nabaggala ◽  
...  
Keyword(s):  
Age Estimation ◽  
Third Molar ◽  
Dental Age ◽  
Radiographic Assessment ◽  
Dental Age Estimation ◽  
Third Molar Eruption ◽  
Ugandan Population

scholarly journals Third Molar Eruption Mechanisms and Patterns

2016 ◽  
Vol 4 (1) ◽  
pp. 11-16
Author(s):  
Winnie Zhang
Keyword(s):  
Molecular Mechanisms ◽  
Third Molar ◽  
Radiographic Examination ◽  
Third Molars ◽  
The Third ◽  
Occlusal Surfaces ◽  
Surgical Extraction ◽  
Incipient Caries ◽  
The Moment ◽  
Third Molar Eruption

Third molars are highly variable in their presence and form. This report focuses on a horizontally impacted third molar and analyzes the potential etiology of this situation. Upon a clinical and radiographic examination, it was noted that the patient had four third molars present. The patient’s third molars began erupting around the age of 19. Currently, they are asymptomatic with incipient caries on the occlusal surfaces. While three of the third molars erupted in a normal orientation, one of the third molars (mandibular left) erupted in an orientation that would be classified as horizontal and/or mesio-angular. No treatment has been undertaken at the moment, however surgical extraction can be recommended with the prognosis being very good. For the clinician that has to treat dental complications that arise from abnormal tooth eruption, as seen in numerous genetic and acquired disorders, knowledge about the basic molecular mechanisms involved may become extremely important.

scholarly journals Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs

2020 ◽  
Vol 17 (10) ◽  
pp. 3716 ◽  
Author(s):  
Myrthel Vranckx ◽  
Adriaan Van Gerven ◽  
Holger Willems ◽  
Arne Vandemeulebroucke ◽  
André Ferreira Leite ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Third Molar ◽  
Automated Measurement ◽  
Third Molars ◽  
Panoramic Radiographs ◽  
The Third ◽  
Clinically Significant ◽  
Reference Measurements ◽  
Third Molar Eruption

The purpose of the presented Artificial Intelligence (AI)-tool was to automatically segment the mandibular molars on panoramic radiographs and extract the molar orientations in order to predict the third molars’ eruption potential. In total, 838 panoramic radiographs were used for training (n = 588) and validation (n = 250) of the network. A fully convolutional neural network with ResNet-101 backbone jointly predicted the molar segmentation maps and an estimate of the orientation lines, which was then iteratively refined by regression on the mesial and distal sides of the segmentation contours. Accuracy was quantified as the fraction of correct angulations (with predefined error intervals) compared to human reference measurements. Performance differences between the network and reference measurements were visually assessed using Bland−Altman plots. The quantitative analysis for automatic molar segmentation resulted in mean IoUs approximating 90%. Mean Hausdorff distances were lowest for first and second molars. The network angulation measurements reached accuracies of 79.7% [−2.5°; 2.5°] and 98.1% [−5°; 5°], combined with a clinically significant reduction in user-time of >53%. In conclusion, this study validated a new and unique AI-driven tool for fast, accurate, and consistent automated measurement of molar angulations on panoramic radiographs. Complementing the dental practitioner with accurate AI-tools will facilitate and optimize dental care and synergistically lead to ever-increasing diagnostic accuracies.

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