Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker
Introduction: Immediate implant placement into fresh extraction sockets has gained a lot of attention in implant dentistry. Besides proper risk assessment, the evaluation of tooth anatomy aids the clinicians in selecting the finest treatment protocol. Cone-beam computerized tomography (CBCT) scan...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/66955/1/66955.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-uitm-ir.66955 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-uitm-ir.669552022-09-19T08:57:40Z Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker 2021 Ali Babiker, Jumanah Magzoub Prosthetic dentistry. Prosthodontics Introduction: Immediate implant placement into fresh extraction sockets has gained a lot of attention in implant dentistry. Besides proper risk assessment, the evaluation of tooth anatomy aids the clinicians in selecting the finest treatment protocol. Cone-beam computerized tomography (CBCT) scans have been reported to be a reliable technique to predict the existing bone condition to avoid compromising aesthetics. This study has evaluated the correlation of alveolar bone thickness and the radial inclination of maxillary and mandibular anterior teeth to serve as a success prediction in immediate implant placement. Methodology: A descriptive retrospective study of CBCT images on 400 teeth conducted on 62 Malaysian patients (287 female's teeth and 113 male's teeth; mean age: 46 years). The alveolar bone thickness and radial tooth angulation of all maxillary and mandibular anterior teeth were evaluated on the CBCT scan. The facial and palatal/lingual alveolar bone was measured at three locations (crestal, midroot, and apical). Based on the tooth angulation each tooth was classified into facially, centrally, and palatally/lingually positioned. Correlation between the alveolar bone thickness and radial tooth angulation was conducted, to formulate a predictive model. The significance level was set at 0.05. Results: The facial alveolar bone in the maxillary and mandibular anterior teeth is predominantly thin (< 1 mm) crestally. However, the palatal alveolar bone was thick at all the measured levels (>1 mm) except on the mandibular crestal incisors (< 1 mm). A general trend was observed of increasing palatal bone thickness from the incisors towards distal canines and from the crestal towards the apical level. A high percentage of maxillary and mandibular anterior teeth were palatally/lingually positioned. The maxillary anterior teeth were within the angulation 11-20° and mandibular 1-10°. All anterior maxillary and mandibular teeth angulation were found to correlate with the facial and palatal alveolar bone thickness at different levels, except canines not correlating with the facial bone. Based on the analysis, a new classification system was proposed for the radial plane tooth position as an anatomical clinical landmark for immediate implant placement. Conclusion: The facial alveolar bone thickness was predominantly thin. The palatal bone was mainly thick from crestal to apical. Tooth angulation has a great influence for optimal implant position. The predictive model formulated in this study can guide the clinicians regarding the anatomical characteristics when planning implant placement for the patient. 2021 Thesis https://ir.uitm.edu.my/id/eprint/66955/ https://ir.uitm.edu.my/id/eprint/66955/1/66955.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Dentistry Kamar Affendi, Nur Hafizah Mohd Yusof, Mohd Yusmiaidil Putera |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Kamar Affendi, Nur Hafizah Mohd Yusof, Mohd Yusmiaidil Putera |
| topic |
Prosthetic dentistry Prosthodontics |
| spellingShingle |
Prosthetic dentistry Prosthodontics Ali Babiker, Jumanah Magzoub Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker |
| description |
Introduction: Immediate implant placement into fresh extraction sockets has gained a
lot of attention in implant dentistry. Besides proper risk assessment, the evaluation of
tooth anatomy aids the clinicians in selecting the finest treatment protocol. Cone-beam
computerized tomography (CBCT) scans have been reported to be a reliable technique
to predict the existing bone condition to avoid compromising aesthetics. This study
has evaluated the correlation of alveolar bone thickness and the radial inclination of
maxillary and mandibular anterior teeth to serve as a success prediction in immediate
implant placement. Methodology: A descriptive retrospective study of CBCT images
on 400 teeth conducted on 62 Malaysian patients (287 female's teeth and 113 male's
teeth; mean age: 46 years). The alveolar bone thickness and radial tooth angulation of
all maxillary and mandibular anterior teeth were evaluated on the CBCT scan. The
facial and palatal/lingual alveolar bone was measured at three locations (crestal,
midroot, and apical). Based on the tooth angulation each tooth was classified into
facially, centrally, and palatally/lingually positioned. Correlation between the alveolar
bone thickness and radial tooth angulation was conducted, to formulate a predictive
model. The significance level was set at 0.05. Results: The facial alveolar bone in the
maxillary and mandibular anterior teeth is predominantly thin (< 1 mm) crestally.
However, the palatal alveolar bone was thick at all the measured levels (>1 mm)
except on the mandibular crestal incisors (< 1 mm). A general trend was observed of
increasing palatal bone thickness from the incisors towards distal canines and from the
crestal towards the apical level. A high percentage of maxillary and mandibular
anterior teeth were palatally/lingually positioned. The maxillary anterior teeth were
within the angulation 11-20° and mandibular 1-10°. All anterior maxillary and
mandibular teeth angulation were found to correlate with the facial and palatal
alveolar bone thickness at different levels, except canines not correlating with the
facial bone. Based on the analysis, a new classification system was proposed for the
radial plane tooth position as an anatomical clinical landmark for immediate implant
placement. Conclusion: The facial alveolar bone thickness was predominantly thin.
The palatal bone was mainly thick from crestal to apical. Tooth angulation has a great
influence for optimal implant position. The predictive model formulated in this study
can guide the clinicians regarding the anatomical characteristics when planning
implant placement for the patient. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Ali Babiker, Jumanah Magzoub |
| author_facet |
Ali Babiker, Jumanah Magzoub |
| author_sort |
Ali Babiker, Jumanah Magzoub |
| title |
Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker |
| title_short |
Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker |
| title_full |
Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker |
| title_fullStr |
Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker |
| title_full_unstemmed |
Predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a CBCT study / Jumanah Magzoub Ali Babiker |
| title_sort |
predictive modeling of tooth angulation and alveolar bone thickness in the maxillary and mandibular anterior teeth: a cbct study / jumanah magzoub ali babiker |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Dentistry |
| publishDate |
2021 |
| url |
https://ir.uitm.edu.my/id/eprint/66955/1/66955.pdf |
| _version_ |
1783735651409068032 |