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. 2026 May 18;26:1111. doi: 10.1186/s12903-026-08608-9

Retrospective CBCT-based analysis of anatomical and demographic factors in implant planning for the maxillary first molar region

Gülüçağ Giray Tekin 1,, Rojdan Ferman Güneş Uysal 2
PMCID: PMC13289529  PMID: 42152059

Abstract

Background

Implant placement in the posterior maxilla is often complicated by anatomical limitations such as reduced alveolar bone volume, sinus pneumatization, sinus septa, and variations in ridge morphology. Accurate radiographic evaluation of these structures is therefore essential for predictable implant planning in the maxillary first molar region (MFMR). The aim of this study was to investigate the relationships between alveolar bone height (ABH), bucco-palatal crest thickness (CT), buccal concavity, sinus septa (SS), sinus pathology (SP), and demographic factors (age and gender), as well as jaw side and tooth presence in the MFMR, and to evaluate their relevance for implant planning.

Materials and methods

A total of 798 cone-beam computed tomography (CBCT) images from 399 individuals were retrospectively analyzed. ABH and CT were measured from the alveolar crest to a point 2 mm coronal to the maxillary sinus membrane. The presence of concavity, SS, and SP was recorded using a binary (present/absent) classification.

Results

ABH and CT were significantly greater in dentate sites compared to edentulous sites (p < 0.05). Age was significantly associated with CT, buccal concavity, SS, and SP (p < 0.05). Tooth presence was significantly associated with concavity and SP, gender with SP, and jaw side with SS (p < 0.05).

Conclusion

Anatomical variations in the MFMR are significantly influenced by demographic and site-related factors. Comprehensive CBCT-based evaluation of alveolar bone dimensions and sinus-related structures is essential for individualized and risk-aware implant planning in this region.

Keywords: Dental implant planning, Maxillary first molar region, Cone beam computed tomography, Image evaluation

Introduction

Osseointegrated dental implants have become a standard modality in contemporary clinical dentistry. While treatment planning is predominantly driven by restorative, functional, and technical considerations, it is frequently constrained by anatomical limitations. Therefore, to ensure a predictable and satisfactory aesthetic and functional outcome, the selection and precise placement of the implant must be performed with meticulous attention to the anatomical structures specific to the intended site [1].

The first permanent molars are typically the earliest to erupt and are frequently subjected to early loss due to dental caries. The preferred treatment modality for their replacement is currently dental implant therapy, either with immediate or conventional loading protocols [2]. However, implant placement in the posterior maxilla is associated with several anatomical and clinical challenges. These include poor bone quality and low bone density, the presence of the maxillary sinus, occasional buccal concavities, anatomical limitations that restrict surgical access, and difficulties in achieving and maintaining adequate oral hygiene. Furthermore, this region is exposed to higher occlusal forces compared to other areas of the oral cavity, which can negatively impact implant survival rates [3, 4].

Researchers have improved implant surface characteristics and designs using various techniques to enhance osseointegration, particularly in cases of poor bone quality. One of the most common challenges encountered in the posterior edentulous maxilla is insufficient bone height, which significantly complicates implant placement in this region. To address this issue, sinus lifting procedures are frequently employed. Additionally, zygomatic and short implants have emerged as viable alternatives to overcome limitations in vertical bone height [5].

Understanding and effectively applying implant systems developed to address the anatomical and structural challenges of the posterior maxilla is critical for successful treatment outcomes. For a successful implant surgery, it is essential that clinicians possess a comprehensive understanding of the various factors that influence treatment parameters and surgical decision-making. Neglecting these anatomical considerations and failing to plan appropriately may result in complications such as hemorrhage, damage to adjacent teeth, sinus perforation, implant displacement into the sinus, bone perforation, inadequate primary stability, and ultimately, implant failure [6].

Cone-beam computerized tomography (CBCT) is the most commonly used imaging modality for implant planning, as it allows precise three-dimensional (3D) measurements of the bone area where implants will be placed and accurate analysis of anatomical structures [7]. CBCT examination of the anatomy of the maxilla is frequently requested to assess the need for surgical sinus lift for implant placement in the posterior maxilla or to detect the presence of any septa. or pathologic conditions within the sinus (sinusitis, mucosal thickening, mucosal retention cysts, partial or complete opacification) [8, 9].

It is well-established that demographic characteristics (such as age and gender) and jaw region (right/left) influence alveolar bone volume and density, as well as various anatomical features [10]. The aim of this study is to provide guidance on the maxillary first molar region (MFMR) in dental implant planning by analyzing the associations between parameters, including alveolar bone height (ABH), crest thickness (CT), sinus septa (SS), sinus pathology (SP), the presence of buccal concavities, and demographic factors, the presence of teeth, and the side of the jaw. Previous CBCT-based studies have evaluated posterior maxillary ridge dimensions and sinus anatomy with respect to residual bone height, crest width, and sinus morphology parameters, which are key in implant treatment planning [11, 12]. However, few specifically focus on multifactorial anatomical variations in the MFMR with a large sample size, as in this study.

Materials and methods

Ethics committee approval was obtained from the Batman University Non-Interventional Clinical Research Ethics Committee (Decision no: 2024/02–27). The CBCT images analyzed in this study were retrospectively selected from 1272 scans obtained between 2020 and 2023 for various clinical indications (implant treatment, orthodontic treatment, trauma, etc.) from the picture archiving and communication system of a private imaging center in Diyarbakır province. Informed consent was waived due to the retrospective design. All procedures were conducted in accordance with the Declaration of Helsinki.

A total of 798 MFMR, including both dentate and edentulous sites, from 399 individuals aged 18 years and older with adequate image quality were included. Images were excluded if they presented artifacts impairing anatomical evaluation, previous implant placement in the MFMR, prior surgical or regenerative procedures in the region, or if the individual was younger than 18 years. All CBCT images were obtained using an i-CAT device (Imaging Science International, Hatfield, PA, USA) with the following parameters: 120 kVp, 5 mA, 9 s exposure time, and 0.3 mm voxel size. Although this voxel size is considered appropriate for anatomical assessment, minor measurement inaccuracies related to image resolution cannot be completely excluded. All CBCT images were evaluated under standardized viewing conditions using the manufacturer’s default software settings for density, contrast, and sharpness. No manual adjustments were performed during image evaluation in order to maintain consistency across all measurements. Cross-sectional reconstructions were performed with a slice thickness corresponding to the original voxel size (0.3 mm) to ensure measurement consistency and reproducibility.

Radiographic measurements were performed by a single examiner (GGT) and independently re-evaluated by a second examiner (RFGU). Intra- and inter-rater reliability were assessed using Kappa and Weighted Kappa coefficients, demonstrating high agreement (0.86–0.92 and 0.83–0.90, respectively).

The right and left MFMR of the same individual were evaluated as independent anatomical sites, as regional anatomical variations may differ within the same patient. Age was stratified into three groups (18–38, 39–53, and 54–81 years) to reflect early, middle, and older adulthood and to maintain a relatively balanced distribution of participants (n = 262, n = 262, and n = 274, respectively). In addition, this stratification was based on a tertile distribution and interpreted in accordance with biologically relevant stages, consistent with previous CBCT-based studies. The upper age limit corresponded to the maximum age available in the dataset. Gender was included as a categorical variable (female/male). Jaw side was categorized as right and left, and dental status as dentate or edentulous.

For ABH assessment, a standardized cross-sectional CBCT image centered on the MFMR was selected. The most coronal point of the alveolar crest was identified as the coronal reference. The inferior border of the maxillary sinus membrane was then determined, and ABH was measured vertically to a point located 2 mm coronal to this border. This reference point was chosen to account for the Schneiderian membrane thickness and to avoid overestimation of clinically usable bone height during implant planning. In edentulous sites, bucco-palatal CT was measured 2 mm apical to the crest level (Fig. 1). In dentate sites, bucco-palatal CT was measured (Fig. 2). The presence of buccal concavity (Fig. 3), sinus septa (Fig. 4), and sinus pathology (Fig. 5) was recorded using a binary (present/absent) classification. Sinus pathology was defined as mucosal thickening ≥ 2 mm, retention cysts, or partial/complete sinus opacification, based on previously established radiological criteria for maxillary sinus evaluation in CBCT imaging [8, 9]. All recorded data were entered and tabulated in Microsoft Excel (version 2013).

Fig. 1.

Fig. 1

Representative CBCT cross-sectional image of MFMR illustrating the measurement protocol. ABH (1) in the edentulos site was measured from the alveolar crest to a point 2 mm apical to the Schneiderian membrane to represent the vertical bone height that could be reliably obtained. Buccopalatal CT (2) was measured at the alveolar crest level

Fig. 2.

Fig. 2

Representative CBCT cross-sectional image of MFMR illustrating the measurement protocol. ABH (1) in the dentate site was measured from the alveolar crest to a point 2 mm apical to the Schneiderian membrane to represent the vertical bone height that could be reliably obtained. Buccopalatal CT (2) was measured at the alveolar crest level

Fig. 3.

Fig. 3

Representative CBCT cross-sectional image of the MFMR illustrating buccal and palatal alveolar bone concavities (arrows), which may increase the risk of cortical perforation during implant placement

Fig. 4.

Fig. 4

Representative CBCT image illustrating maxillary sinus septa (arrow), which may complicate sinus floor elevation procedures during implant placement

Fig. 5.

Fig. 5

Representative coronal CBCT image showing maxillary sinus pathology. Sinus pathology was defined as mucosal thickening greater than 2 mm, retention cysts, or partial/complete sinus opacification. In this image, bilateral mucosal thickening exceeding 2 mm is observed

Statistical analysis

All statistical analyses were performed using SPSS software (version 21.0; IBM Corp., Armonk, NY, USA). Socio-demographic characteristics were analyzed using frequency analysis and presented as counts and percentages. Continuous variables ABH and CT were expressed as mean ± standard deviation. Differences in ABH and CT according to jaw side (right–left) and the presence of teeth were evaluated using the Paired Samples t-test. Comparisons according to gender were performed using the Independent Samples t-test. Differences among age groups were analyzed using ANOVA. Categorical variables, including the presence of concavity, SS, and SP, were analyzed using the Pearson Chi-square test to assess their association with age, gender, jaw side, and the presence of teeth. A p-value ≤ 0.05 was considered statistically significant. Since bilateral regions (right and left MFMRs) from the same individuals were included, paired analyses were performed when comparing right and left sides. For other comparisons, regions were evaluated according to the defined grouping variables. However, potential intra-individual correlation between bilateral measurements should be considered when interpreting the findings. A p-value ≤ 0.05 was considered statistically significant.

Results

The study was conducted on CBCT images of 399 individuals (230 females, 169 males) aged between 18 and 81 years (mean age: 45.52 ± 15.08 years). A total of 798 MFMR sites, including both dentate and edentulous regions, were evaluated.

Height and thickness

No statistically significant difference in ABH was observed between the right and left regions, whereas CT was significantly greater on the right side (Table 1). Both ABH and CT were significantly higher in dentate sites compared edentulous sites (Table 1). ABH differed significantly according to gender, with higher values in females, while CT did not show a significant gender-related difference (Table 2). Age was not significantly associated with ABH; however, a significant association was identified between age and CT (Table 3).

Table 1.

Analysis of whether ABH and CT have a significant difference according to the side of jaw and the presence of teeth

Variables Mean Sd t dd p

The side of jaw

(right-left)

ABH 7.71 4.46 -0.017 397 0.986
7.72 4.55

The side of jaw

(right-left)

CT 8.81 3.37 3.169 397 0.002*
8.16 3.23

The presence of teeth

(dentate/edentulous)

ABH 8.62 3.69 5.341 381 0.000*
6.99 5.04

The presence of teeth

(dentate/edentulous)

CT 11.03 1.99 30.203 381 0.000*
6.10 2.41

* correlation is significant at the 0.05 level

Table 2.

Analysis of whether ABH and CT have a significant difference according to gender

Variables Group n Mean Sd t dd p
Gender ABH Female 460 8.102 4.140 2.849 650.8 0.005*
Male 338 7.164 4.908
CT Female 460 8.668 3.388 1.856 746.913 0.065
Male 338 8.231 3.211
Toothless 416 6.140 2.455

* correlation is significant at the 0.05 level

Table 3.

Analysis of whether ABH and CT have a significant difference according to age variable

Variables Group n Mean Sd F p Source of Difference
ABH 1- 18-38 262 8.224 4.052 2.630 0.073
2- 39-53 262 7.495 4.548
3- 54-81 274 7.409 4.829
CT 1- 18-38 262 10,490 2.691 115.086 0.00* 1–2; 1–3; 2–3
2- 39-53 262 8,385 3.079
3- 54-81 274 6,657 2.992

* correlation is significant at the 0.05 level

Buccal concavity

A statistically significant association was found between age and the presence of buccal concavity. Concavity was also significantly more frequent in dentate sites compared to edentulous sites. No significant association was observed between concavity and gender or jaw side (Table 4).

Table 4.

Relationship between age, gender, the side of jaw and the presence of teeth variables and concavity, SS and SP

Gruplar Total Age Ki-kare sd p Gender Ki-kare sd p The side of jaw Ki-kare sd p The Presence of teeth Ki-kare sd p
18–38 39–53 54–81 Female Male Right Left Dentate Edentulous
-Presence of 122 58 34 30 14.555 2 0.001* 77 45 1.765 1 0.184 63 59 0.132 1 0.716 82 40 21.594 1 0*

Concavity

-Absence of

Concavity

676 204 228 244 383 293 337 339 300 376

-Presence of

SS

322 113 118 91 9.034 2 0.011* 185 137 0.008 1 0.929 182 140 8.835 1 0.003* 162 160 1.289 1 0.256

-Absence of

SS

476 149 144 183 275 201 218 258 220 256

Presence of

SP

302 83 103 116 6.823 2 0.033* 145 157 18.458 1 0 154 148 0.146 1 0.702 117 185 16.223 1 0*

Absence of

SP

496 179 159 158 315 181 246 250 265 231

Level of signifcance set at p ≤ 0.05 marked as bold

Septa

The presence of SS was significantly associated with age and jaw side. However, no significant relationship was found between SS and gender or the presence of teeth (Table 4).

Pathology

A statistically significant association was observed between age and the presence of SP. SP was also significantly more frequent in males and in edentulous sites. No significant association was found between SP and jaw side (Table 4).

Discussion

Evaluation of alveolar bone morphology and the identification of vital anatomical structures in relation to the planned implant site are fundamental components of implant treatment planning [7]. The MFMR presents particular anatomical challenges, including reduced bone volume and density and the proximity of the maxillary sinus, all of which may limit available bone height for implant placement [4]. In this study, a detailed CBCT-based analysis of the MFMR was performed to support implant surgical planning by evaluating anatomical parameters in relation to age, gender, the presence of teeth, and jaw side. Both ABH and CT were significantly greater in dentate sites compared to edentulous sites. In dentate sites, measurements reflect socket-related anatomy, whereas in edentulous sites they represent residual ridge morphology. Therefore, inherent structural differences related to tooth presence should be considered when interpreting dimensional comparisons. This finding is consistent with the well-documented effects of tooth loss, which leads to reduced functional stimulation of the alveolar bone, progressive vertical and horizontal bone resorption, and sinus pneumatization in the posterior maxilla [13, 14]. Regarding gender differences, females demonstrated significantly higher ABH values than males, whereas no significant difference was observed in CT. Although several previous studies have reported lower bone height in females [1416], the discrepancy may be explained not only by methodological differences but also by biological factors. Volumetric studies have demonstrated that males generally exhibit larger maxillary sinus volumes, which may predispose to greater sinus pneumatization and consequently reduced residual alveolar bone height following tooth loss [17, 18]. However, these findings may also be influenced by inter-individual variability in sinus anatomy and pneumatization patterns, and therefore should be interpreted with caution. In line with our findings, Temple et al. [19] also reported no significant association between gender and CT.

Analysis of age-related changes revealed no significant association between age and ABH, while a significant relationship was observed between age and CT. The lack of association between age and ABH may be related to the anatomical constraint imposed by the maxillary sinus floor, which limits vertical bone availability irrespective of age once pneumatization has occurred [20]. In contrast, CT may be more susceptible to age-related remodeling and progressive horizontal resorption, particularly in partially or completely edentulous areas. Maxillary bone resorption following tooth loss occurs in a centripetal and apical direction, resulting in progressive narrowing of the alveolar ridge [21]. The increase in edentulism with age, together with the observed reduction in CT, supports this pattern. From a clinical perspective, these findings underscore the importance of site-specific anatomical evaluation, particularly in immediate implant placement, where sufficient residual bone height and thickness are essential for achieving primary stability [22].

Buccal alveolar bone concavities, although more commonly discussed in the anterior maxilla, may also be present in the posterior maxillary region and increase the risk of cortical plate perforation during implant placement [23]. Such concavities are often overlooked in two-dimensional imaging modalities, emphasizing the value of CBCT in preoperative assessment. Consistent with cadaveric findings reported by Uchida et al. [24], our study demonstrated a higher prevalence of concavities in dentate sites compared to edentulous sites.

The presence of SS is a clinically relevant finding, as septa may increase the risk of Schneiderian membrane perforation during sinus floor elevation procedures [24]. In the present study, SS were detected in 40.4% of cases, a prevalence consistent with previous CBCT-based investigations [2528]. Similar to earlier reports, no significant association was found between SS and gender or the presence of teeth [2933]. However, a significantly higher prevalence of SS was observed on the right side, in agreement with findings reported by Zahrani et al. [34]. The association between age and SS observed in this study points toward a potential age-related trend in sinus morphology. Although differences in age group categorization across studies may account for variations in reported prevalence rates, it can be hypothesized that sinus anatomy may exhibit variations over the lifespan. Septa may be classified as primary or secondary; the latter is potentially associated with irregular sinus pneumatization following tooth loss and alveolar bone resorption. Our findings support the hypothesis that secondary septa may develop as a consequence of post-extraction sinus expansion, suggesting a relationship between long-term edentulism and septa formation [25].

SP was identified in 37.8% of cases, a prevalence lower than that reported in some previous CBCT studies [10, 3537]. This discrepancy may be related to variations in diagnostic criteria and imaging parameters. For example, some studies classified any mucosal thickening or radiopaque change as sinus pathology [10], whereas others differentiated specific entities such as retention cysts, mucosal thickening beyond a defined threshold, or partial/total opacification [3537]. Differences in voxel size and the inclusion of symptomatic versus asymptomatic populations may also have influenced reported prevalence rates. A significant association was found between age and SP, with higher prevalence in older individuals, consistent with findings reported by Ritter et al. [34]. In contrast, other studies have reported no age-related association [4, 38], which may reflect differences in age stratification, study design, or sample characteristics. In line with several previous reports [9, 36, 37, 39], SP was more frequently observed in males than in females in the present study. This difference may be associated with behavioral or environmental factors; however, due to the absence of smoking data, such interpretations should be considered speculative.

From a clinical perspective, the findings emphasize the importance of individualized CBCT-based assessment in the MFMR, particularly in elderly and edentulous patients where reduced bone dimensions and sinus-related anatomical variations may complicate implant placement. Reduced alveolar bone height may indicate the need for sinus floor elevation or the selection of shorter implants, whereas decreased crest thickness may necessitate narrower implant selection or additional bone augmentation to achieve adequate primary stability. Identification of buccal concavities is essential to minimize the risk of cortical perforation and to guide implant angulation. The presence of sinus septa should be carefully evaluated prior to sinus lift procedures due to the increased risk of Schneiderian membrane perforation. Likewise, the detection of sinus pathology may require further clinical or otorhinolaryngological evaluation before implant surgery. The present study provides a comprehensive CBCT-based evaluation of the MFMR by integrating alveolar bone dimensions, sinus anatomy, and pathological findings within a single analytical framework. The relatively large sample size and multifactorial assessment enhance the robustness of the findings and contribute to a clearer understanding of anatomical variability in this clinically demanding region. These findings should also be interpreted considering the tertile-based age stratification, which reflects biologically relevant stages and is consistent with previous CBCT-based studies.

Nevertheless, certain limitations should be acknowledged. The retrospective design and the absence of clinical data regarding periodontal status, systemic health conditions, smoking habits, and long-term implant outcomes limit causal interpretation. As a retrospective radiographic study, clinical variables such as periodontal status, duration of edentulism, systemic conditions, and smoking habits could not be controlled and may have influenced bone morphology [40]. Bilateral MFMR sites from the same individual were analyzed as independent units; therefore, potential intra-individual clustering effects cannot be completely excluded and should be considered when interpreting the results [41]. CT measurements obtained from dentate and edentulous sites represent inherently different anatomical conditions (socket width versus residual ridge thickness) [42], which may introduce structural heterogeneity and limit direct dimensional comparability. Although a voxel size of 0.3 mm is considered appropriate for anatomical assessment, minor measurement inaccuracies related to image resolution cannot be completely excluded [43]. In addition, exact numerical values for display parameters (e.g., contrast and density) were not available due to the use of default software settings, which may limit full reproducibility. Finally, the binary classification of concavity, SS, and SP (present/absent) may not fully capture their morphological variability or severity [44]. Future prospective studies incorporating clinical correlations, longitudinal follow-up, and refined morphological classification systems may further clarify anatomical risk patterns and optimize implant planning strategies in the MFMR.

Acknowledgements

The autors thank Mr. İbrahim Gün for the statistical analysis.

Authors’ contributions

GGT and RFGU designed the study. Designed, created/collected and analyzed data. GGT was involved in writing the manuscript and interpreting the results. RFGU checked every step. All authors read and approved the final manuscript.

Funding

Not applicable.

Data availability

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

Ethics committee approval was obtained from the Batman University Non-Interventional Clinical Research Ethics Committee (Decision no: 2024/02–27). This study involved retrospective analysis of anonymized CBCT images. The requirement for informed consent was waived by the ethics committee due to the retrospective nature of the study. All procedures were performed in accordance with the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Dioguardi M, Spirito F, Quarta C, Sovereto D, Basile E, Ballini A, et al. Dental implant surgery: a systematic review. J Clin Med. 2023;12(4):1490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Matsuda H, Borzabadi-Farahani A, Lee BT. A cone beam computed tomography study of three-dimensional alveolar bone anatomy of maxillary first molars with ımplications for ımmediate ımplant placement. Implant Dent. 2016;25(3):367–72. [DOI] [PubMed] [Google Scholar]
  • 3.Candel E, Penarrocha D, Penarrocha M. Rehabilitation of the atrophic posterior maxilla with pterygoid implants: a review. J oral implantology. 2012;38(S1):461–6. [DOI] [PubMed] [Google Scholar]
  • 4.Yücesoy T, Göktaş TA. Evaluation of sinus pneumatization and dental ımplant placement in atrophic maxillary premolar and molar regions. Int J Oral Maxillofacial Implants. 2022;37(2):407–15. [DOI] [PubMed] [Google Scholar]
  • 5.Morand M, Irinakis T. The challenge of implant therapy in the posterior maxilla: providing a rationale for the use of short implants. J Oral Implantology. 2007;33(5):257–66. [DOI] [PubMed] [Google Scholar]
  • 6.Kamburoglu K, Acar B, Yuksel S, Paksoy CS. Quantitative evaluation of mandibular lingual concavities in dental implant patients with CBCT. Surg Radiol Anat. 2015;37(10):1209–15. [DOI] [PubMed] [Google Scholar]
  • 7.Ribas BR, Nascimento EHL, Freitas DQ, Pontual ADA, Pontual MLDA, Perez DEC, Ramos-Perez FMM. Positioning errors of dental implants and their associations with adjacent structures and anatomical variations: A CBCT-based study. Imaging Sci Dent. 2020;50(4):281–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Tadinada A, Fung K, Thacker S, Mahdian M, Jadhav A, Schincaglia GP. Radiographic evaluation of the maxillary sinus prior to dental implant treatment: A comparison between two-dimensional and three-dimensional radiographic imaging. Imaging Sci Dent. 2015;45:169–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Shanbhag S, Karnik P, Shirke P, Shanbhag V. Association between periapical lesions and maxillary sinus mucosal thickening: a retrospective cone-beam computed tomographic study. J Endod. 2013;39(7):853–7. [DOI] [PubMed] [Google Scholar]
  • 10.Rege ICC, Sousa TO, Leles CR, Mendonca EF. Occurrence of maxillary sinus abnormalities detected by cone beam CT in asymptomatic patients. BMC Oral Health. 2012;12:1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Nunes LS, Bornstein MM, Sendi P, Buser D. Anatomical characteristics and dimensions of edentulous sites in the posterior maxillae of patients referred for implant therapy. Int J Periodontics Restor Dent. 2013;33(3):337–45. [DOI] [PubMed] [Google Scholar]
  • 12.Li X, Luo D, Yu W, Yang J. Analysis of Anatomical Features in Posterior Maxillae Edentulous Sites for Dental Implant Planning by Cone Beam Computer Tomography. J Craniofac Surg. 2025;36(6):e787–9. [DOI] [PubMed] [Google Scholar]
  • 13.Yoshimine SI, Nishihara K, Nozoe E, Yoshimine M, Nakamura N. Topographic analysis of maxillary premolar and molar teeth and maxillary sinus using cone beam computed tomography. Implant Dent. 2012;21(6):528–35. [DOI] [PubMed] [Google Scholar]
  • 14.Panchbhai AS. Quantitative estimation of vertical heights of maxillary and mandibular jawbones in elderly dentate and edentulous subjects. Spec Care Dentist. 2013;33(2):62–9. [DOI] [PubMed] [Google Scholar]
  • 15.Ural C, Bereket C, Sener I, Aktan AM, Akpinar YZ. Bone height measurement of maxillary and mandibular bones in panoramic radiographs of edentulous patients. J Clin Exp Dent. 2011;3(1):e5–9. [Google Scholar]
  • 16.Canger EM, Celenk P. Radiographic evaluation of alveolar ridge heights of dentate and edentulous patients. Gerodontology. 2012;29:17–23. [DOI] [PubMed] [Google Scholar]
  • 17.Teke HY, Duran S, Canturk N, Canturk G. Determination of gender by measuring the size of the maxillary sinuses in computerized tomography scans. Surg Radiol Anat. 2007;29(1):9–13. [DOI] [PubMed] [Google Scholar]
  • 18.Emirzeoglu M, Sahin B, Bilgic S, Celebi M, Uzun A. Volumetric evaluation of the paranasal sinuses in normal subjects using computer tomography images: a stereological study. Auris Nasus Larynx. 2007;34(2):191–5. [DOI] [PubMed] [Google Scholar]
  • 19.Temple KE, Schoolfield J, Noujei ME, Huynh-Ba G, Lasho DJ, Mealey BL. A cone beam computed tomography (CBCT) study of buccal plate thickness of the maxillary and mandibular posterior dentition. Clin Oral Implants Res. 2016;27(9):1072–8. [DOI] [PubMed] [Google Scholar]
  • 20.Wu X, Cai Q, Huang D, Xiong P, Shi L. Cone-beam computed tomography-based analysis of maxillary sinus pneumatization extended into the alveolar process in different age groups. BMC Oral Health. 2022;22(1):393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pietrokovski J, Starinsky R, Arensburg B, Kaffe I. Morphologic characteristics of bony edentulous jaws. J Prosthodont. 2007;16:141–7. [DOI] [PubMed] [Google Scholar]
  • 22.Bhola M, Neely AL, Kolhatkar S. Immediate implant placement: clinical decisions, advantages, and disadvantages. J Prosthodont. 2008;17:576–81. [DOI] [PubMed] [Google Scholar]
  • 23.Chung MP, Wang IC, Chan HL, Wang HL. Evaluation of buccal bone concavity in the esthetic zone: a cadaver study. Implant Dent. 2017;26:751–5. [DOI] [PubMed] [Google Scholar]
  • 24.Uchida Y, Goto M, Danjo A, Yamashita Y, Kuraoka A. Anatomic measurement of the depth and location of the sublingual fossa. Int J Oral Maxillofac Surg. 2012;41(12):1571–6. [DOI] [PubMed] [Google Scholar]
  • 25.Naitoh M, Suenaga Y, Kondo S, Gotoh K, Ariji E. Assessment of maxillary sinus septa using cone-beam computed tomography: etiological consideration. Clin Implant Dent Relat Res. 2009;11:e52–8. [DOI] [PubMed] [Google Scholar]
  • 26.Lana JP, Carneiro PM, Machado VC, Souza PE, Manzi FR, Horta MC. Anatomic variations and lesions of the maxillary sinus detected in cone beam computed tomography for dental implants. Clin Oral Implants Res. 2012;23(12):1398–403. [DOI] [PubMed] [Google Scholar]
  • 27.Neugebauer J, Ritter L, Mischkowski RA, Dreiseidler T, Scherer P, Ketterle M et al. Evaluation of maxillary sinus anatomy by cone-beam CT prior to sinus floor elevation. Int J Oral Maxillofacial Implants. 2010;25(2):258–65. [PubMed]
  • 28.Sakhdari S, Panjnoush M, Eyvazlou A, Niktash A. Determination of the prevalence, height, and location of the maxillary sinus septa using cone beam computed tomography. Implant Dent. 2016;25:335–40. [DOI] [PubMed] [Google Scholar]
  • 29.Bornstein MM, Seiffert C, Maestre-Ferrín L, Fodich I, Jacobs R, Buser D, et al. An analysis of frequency, morphology, and locations of maxillary sinus septa using cone beam computed tomography. Int J Oral Maxillofac Implants. 2016;31(2):280–7. [DOI] [PubMed] [Google Scholar]
  • 30.Yildirim T, Güncü GN, Colak M, Nares S, Tözüm TF. Evaluation of maxillary sinus septa: a retrospective clinical study with cone beam computerized tomography (CBCT). Eur Rev Med Pharmacol Sci. 2017;21(23):5306–14. 10.26355/eurrev_201712_13912. [DOI] [PubMed]
  • 31.Kılınç A, Menziletoğlu D, Işık BK. Cone beam computerized evaluation of maxillary sinus septa with tomography: a retrospective clinical study. Selcuk Med J. 2020;36(3):173–7. [Google Scholar]
  • 32.Durmus IH. Retrospective evaluation of the maxillary sinus septa morphology and it’s incidence in the Sanlıurfa population. J Harran Univ Med Fac. 2020;17(2):238–41. [Google Scholar]
  • 33.Kocak N, Alpoz E, Boyacıoglu H. Morphological assessment of maxillary sinus septa variations with cone-beam computed tomography in a Turkish population. Eur J Dentistry. 2019;13(01):042–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Al-Zahrani MS, Al-Ahmari MM, Al-Zahrani AA, Al-Mutairi KD, Zawawi KH. Prevalence and morphological variations of maxillary sinus septa in different age groups: a CBCT analysis. Ann Saudi Med. 2020;40(3):200–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ritter L, Lutz J, Neugebauer J, Scheer M, Dreiseidler T, Zinser MJ, Rothamel D, Mischkowski RA. Prevalence of pathologic findings in the maxillary sinus in cone-beam computerized tomography. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2011;111:634–340. [DOI] [PubMed] [Google Scholar]
  • 36.Smith KD, Edwards PC, Saini TS, Norton NS. The prevalence of concha bullosa and nasal septal deviation and their relationship to maxillary sinusitis by volumetric tomography. Int J Dent. 2010;2010:404982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Gracco A, Parenti SI, Ioele C, Bonetti GA, Stellini E. Prevalence of incidental maxillary sinus findings in Italian orthodontic patients: a retrospective cone- beam computed tomography study. Korean J Orthod. 2012;42(6):329–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Drumond JP, Allegro BB, Novo NF, de Miranda SL, Sendyk WR. Evaluation of the prevalence of maxillary sinuses abnormalities through spiral computed tomography (CT). Int Arch Otorhinolaryngol. 2017;21:126–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kasikcioglu A, Gulsahi A. Relationship between maxillary sinus pathologies and maxillary posterior tooth periapical pathologies. Oral Radiol. 2016;32:180–6. [Google Scholar]
  • 40.Hung K, Montalvao C, Yeung AWK, Li G, Bornstein MM. Frequency, location, and morphology of accessory maxillary sinus ostia: a retrospective study using cone beam computed tomography (CBCT). Surg Radiol Anat. 2020;42(2):219–28. [DOI] [PubMed] [Google Scholar]
  • 41.Türker N, Çeçen Erol E, Küçük Kurtgöz M, Aktuna Belgin C. Evaluation of maxillary sinus septa and predicted Schneiderian membrane perforation risk: a cone beam computed tomography study. Surg Radiol Anat. 2026;48(1):112. [DOI] [PubMed] [Google Scholar]
  • 42.Farina R, Pramstraller M, Franceschetti G, Pramstraller C, Trombelli L. Alveolar ridge dimensions in maxillary posterior sextants: a retrospective comparative study of dentate and edentulous sites using computerized tomography data. Clin Oral Implants Res. 2011;22(10):1138–44. [DOI] [PubMed] [Google Scholar]
  • 43.Kehrwald R, de Castro HS, Salmeron S, Matheus RA, Santaella GM, Queiroz PM. Influence of voxel size on CBCT images for dental implants planning. Eur J Dent. 2022;16(02):381–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Erturk M, Tassoker M, Aydın Kabakcı AD. Is palatal cavity volume affected by maxillary sinus pathologies? A CBCT study. BMC Oral Health. 2024;24(1):1237. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.


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