Cone Beam Computed Tomography Evaluation of The Effect of Single Tooth Loss On Maxillary Sinus Mucosa Thickness

Aim: The aim of this study was to determine whether the loss of a single tooth is a risk factor for maxillary sinus mucosal thickening. Materials and Methods: This retrospective, observational, radiographic study was performed on individuals using cone beam computer tomography who applied to Department of Oral and Maxillofacial Surgery for implantation between January 2012 and January 2019. The edentulous sides of the patients were determined as the study group and the symmetrically toothed sides of the patients were determined as the control group. Maxillary sinus mucosa thickness (MSMT) obtained at the sinus floor, medial sinus wall, and lateral sinus wall were compared between the two groups. Results: Of the 105 patients included in the study, 51 were male and 54 were female. The ages of the patients ranged between 15 and 65 years, with a mean age of 32.92 ± 9.73 years. The MSMT of the lateral sinus wall on the toothed side were significantly higher in male patients than in female patients (p = 0.001 vs. p < 0.01, respectively). On the edentulous side, the MSMT of lateral sinus wall of men was significantly lower than that of women (p = 0.001 vs. p < 0.01). Conclusion: Implant and bone augmentation planning at the sinus floor on the edentulous side should be considered in terms of maxillary sinus complications and implant failure. In conclusion, the absence of a single tooth as a local odontogenic factor is not a risk factor for maxillary sinus mucosal thickening.

Authors

Institutions

Publication Details

Journal
Van Sağlık Bilimleri Dergisi
Published
2024-08-30
DOI
https://doi.org/10.52976/vansaglik.1415469
Primary Topic
Dental Implant Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cone Beam Computed Tomography Evaluation of The Effect of Single Tooth Loss On Maxillary Sinus Mucosa Thickness

Ayşe Gül Öner Talmaç, Levent Ciğerim, Alaettin Koç
2 links
Van Sağlık Bilimleri Dergisi
Dental Implant Techniques and Outcomes
article

Cone Beam Computed Tomography Evaluation of The Effect of Single Tooth Loss On Maxillary Sinus Mucosa Thickness

Ayşe Gül Öner Talmaç, Levent Ciğerim, Alaettin Koç
article en

Abstract

Aim: The aim of this study was to determine whether the loss of a single tooth is a risk factor for maxillary sinus mucosal thickening. Materials and Methods: This retrospective, observational, radiographic study was performed on individuals using cone beam computer tomography who applied to Department of Oral and Maxillofacial Surgery for implantation between January 2012 and January 2019. The edentulous sides of the patients were determined as the study group and the symmetrically toothed sides of the patients were determined as the control group. Maxillary sinus mucosa thickness (MSMT) obtained at the sinus floor, medial sinus wall, and lateral sinus wall were compared between the two groups. Results: Of the 105 patients included in the study, 51 were male and 54 were female. The ages of the patients ranged between 15 and 65 years, with a mean age of 32.92 ± 9.73 years. The MSMT of the lateral sinus wall on the toothed side were significantly higher in male patients than in female patients (p = 0.001 vs. p < 0.01, respectively). On the edentulous side, the MSMT of lateral sinus wall of men was significantly lower than that of women (p = 0.001 vs. p < 0.01). Conclusion: Implant and bone augmentation planning at the sinus floor on the edentulous side should be considered in terms of maxillary sinus complications and implant failure. In conclusion, the absence of a single tooth as a local odontogenic factor is not a risk factor for maxillary sinus mucosal thickening.

Van Sağlık Bilimleri DergisiVol. 17(2)
Van Yüzüncü Yıl Üniversitesi (TR)
Good health and well-being
Openalex Percentile: Top 79%
Dental Implant Techniques and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.