Abstract
Purpose
This study aimed to determine which patient-related, anatomical, pathologic, or iatrogenic variables may be directly associated with and which may have a modifying effect on the generation of maxillary sinus (MS) mucosal thickenings.
Methods
A total of 278 cone-beam computed tomography (CBCT) scans obtained from 114 males and 164 females were evaluated. The protocol included the assessment of 21 candidate variables, of which 18 were bilateral and 3 were unique. The relationship among the study variables and the mucosal thickenings were examined individually and adjusted for confounding using univariate and multivariate binary logistic regression models.
Results
The prevalence of mucosal thickenings was 71.20% at patient level and 53.40% at sinus level. The ostium height > 28.15 mm, the infundibulum length ≤ 9.55 mm, the infundibulum width ≤ 0.50 mm, along the occurrence of periapical lesions and slight-to-severe periodontal bone loss acted as strong/independent risk variables for MS mucosal thickenings. Confounding and interaction relationships between MS height and depth, and between the alveolar process type and the presence of foreign materials with respect to age stratum > 47.50 years might be also associated with the mucosal thickenings.
Conclusions
While increased ostium height, decreased infundibulum length/width, the presence of periapical lesions and periodontal involvement might be the foremost indicator variables for MS mucosal thickenings, there are synergistic relationships among the increased sinus height and depth as well as aging regarding atrophic/partially atrophic alveolar process status and the presence of foreign materials that may be also associated with a greater proportion of these mucosal abnormalities.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Maxillary sinuses (MS) are a pair of pyramid-shaped pneumatic cavities located within maxillary bone that communicate with the nasal cavity through the ostium [20]. They are lined by thin respiratory mucous membrane composed of pseudostratified cylindrical ciliated epithelium named sinus mucosa that adheres firmly to the periosteum and, under normal conditions, has approximately 0.8–1 mm thick [6, 20]. Nevertheless, there is not yet a general consensus that allows establishing when the sinus mucosa is altered, as while it has been proposed that it should not be visible on a radiograph [20] and that any thickening should be considered anomalous [13], some authors have defined a more precise limit of mucosal thickening above which it would be correct to diagnose a sinus pathological condition [43], so that increasing evidence suggests that thickenings ≥ 2 mm should be considered indicative of a sinus disorder [13, 39, 46]. As such, the alterations in the sinus mucosa may appear either as uniform thickenings and hypertrophic areas, or as polypoids, solid, or cystic masses [9] which can obstruct the ostium.
Several authors mention the mucosal thickenings as the most frequent finding in MS, with a prevalence ranging from 34.6 to 68.8% [3, 8, 9, 23, 31, 39, 42, 43] at patient level, while at sinus level, the prevalence rates have been estimated between 29.4 and 66%. [3, 42, 46]. This broad range of variability could be attributable not only to differences in various methodological aspects used in the investigations [41], such as selection of cases, sample size, imaging techniques, variables analyzed, and statistical methods, but also to discrepancies in the diagnostic criteria used in the evaluation [43], which might damp interpretation of the results. While the radiographic detection of alterations in sinus mucosa per se does not allow establishing a differential diagnosis between acute and chronic sinus disease [9], mucosal disorders constitute a finding of interest because they may represent a sinus pathology of inflammatory, allergic, traumatic, neoplastic, or congenital origin [23, 38, 49], as well as an indicator of potential complications for surgical procedures involving MS [29].
Most of the available studies assessing the etiology of MS mucosa alterations have only focused in individual risk indicators as explanatory variables. From these studies, it has been concluded that certain potential predictors, including demographic [17, 23, 51, 52], anatomical [13, 17, 26, 42], iatrogenic [1, 32], and pathologic [3, 9, 14, 15, 20, 32, 38, 49] features may be associated with the presence of these abnormalities, but actually few researches have analyzed the combined effect of multiple variables [29], so that there is only sparse information about those variables that might influence this association as potential confounders or on their biological interaction effects [18, 27, 29, 41].
Bearing in mind not only that sinus mucosa thickenings have a multicausal etiology, but also that cone-beam computed tomography (CBCT) constitutes a complete and precise method for the diagnosis of sinus alterations due to its high resolution and the possibility of visualizing both hard and soft tissues [9], this study aimed to determine which patient-related, anatomical, pathologic, or iatrogenic variables may be strongly and independently associated and which may have a modifying effect on the generation of these mucosal abnormalities.
Materials and methods
Study design and inclusion/exclusion criteria
This cross-sectional analytic study was performed in compliance with the ethical guidelines of the Helsinki Declaration, on CBCT scans of patients attending a private imaging specialized center (RADEX 3D Specialized Radiology Center) in Medellín, Colombia. The manuscript was prepared in compliance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement for cohort, case–control, and cross-sectional studies (https://www.strobe-statement.org). The sample size was estimated based on the total number of patients referred for complete skull, bimaxillary, or upper jaw CBCT scans between January 2017 and April of 2021 (n = 443). Using this population size, with a 5% margin of error and a 95% confidence interval, the power calculation using an online sample size calculator (http://www.raosoft.com/samplesize.html), indicated a minimum sample size requirement of 206 digital imaging and communications of medicine (DICOM) files for identifying significant differences in between-group comparisons. Nevertheless, to maintain estimates at an optimal level of precision against the effect of size reduction due to exclusions and dropouts, and considering a reported prevalence rate of mucosal thickenings at patient-level of approximately 35% [23], the study sample was increased by 72 DICOM files; thus, leading to a definite inclusion of 278 files for different assessments. The inclusion criteria were as follows: patients aged ≥ 18 years with both MS entirely visible on the CBCT scan and the absence of pathological conditions or upper jaw deformities. Conversely, the exclusion criteria applied were poor quality of CBCT images related to low-resolution, motion artifacts, and scattering/beam hardening artifacts, preventing the accurate recognition and delineation of anatomical structures; limited field of view that does not allow the visualization of the MS anatomy; neoplastic, traumatic, congenital, or pathological lesions of the upper jaw and/or MS; evidence of previous craniofacial or MS surgery; and ongoing orthodontic treatment. Given that MS increases in size until the end of the 18th year [30], patients younger than 18 years old were excluded from the scope of this study to avoid biases related to the growth and development of anatomical landmarks.
Image acquisition and assessment
CBCT images included complete skull, bimaxillary, or maxillary scans were acquired with the i-CAT® 17–19 system (Imaging Sciences International, Inc., Hatfield, Pennsylvania, USA) operating at 120 kVp, 18–48 mA, 26.9 s of exposure time, and 0.2 mm isotropic voxel size. The fields-of-view ranged from 16 × 6 cm to 23 × 17 cm depending on the image sizes. To avoid measurement bias related to head posture during scanning, CBCT images were taken with respect to the Frankfort horizontal and midfacial planes. The images were saved using i-CATVision 1.9® software (Imaging Sciences International) and assessed synchronously by two Oral and Maxillofacial Surgery Senior Residents (C. B-N. and S. U-d.V.) previously trained and calibrated by two Maxillofacial Radiologists (C.I. S-N. and J.L O-C); thus, precluding a biased interpretation of tomographic parameters that might weaken the reliability of the results. The calibration was carried out using printed instructions and reference images illustrating examples of the possible morphological changes, mucosal thickenings, and morphometric measurements. All observations and measurements were achieved on both sides in each CBCT seen directly on a computer screen under appropriate light intensity and using the magnification tool to increase the image and the maximum intensity projection (MIP) mode for improving contrast. For linear measurements the analyses were done using the distance measuring tool of i-CATVision® software, whereas for angular measurements the images were saved as JPEG files and processed using an image analyzer system (AxioVision 3.1®, Carl Zeiss®, Oberkochen, Germany). When discrepant measure data were established among the examiners, new evaluations were accomplished and any further disagreement was resolved by discussion until a consensus was reached.
Tomographic data collection
Data collection was performed in several stages. In the first stage, the following patient-related parameters were recorded: gender (i.e., male vs female), age at the time of CBCT acquisition, the MS mucosal status (i.e., healthy vs thickened), type of sinus involvement (i.e., unilateral vs bilateral), and nasal septum deviation ≥ 4 mm from the midline (i.e., none vs right/left deviation) [46] (Fig. 1a–c). Mucosal thickenings were identified as non-corticated hyperdense straps running parallel to MS bony walls and considered abnormal if they showed thickness in at least one of the three orthogonal planes. The thickness of the mucosa was recorded based on the maximum perpendicular distance from mucosal surface to underlying bony plate and stratified according to the previous published criteria [10] with modifications as: (1) inconspicuous/no thickening of the sinus membrane; (2) flat, shallow thickening ≥ 2 to 4 mm; (3) flat, shallow thickening > 4 mm; (4) semispherical thickening of the membrane; (5) complete/almost complete occupation of the sinus; and (6) mixed flat and semispherical thickenings (Fig. 1d–i). Ostium obstruction secondary to mucosal thickening was further documented. Thereafter, using axial, coronal, sagittal, and panoramic reconstructions, the MS and their related anatomical structures were evaluated for the following features bilaterally as follows:
-
The alveolar process was classified with reference to the presence/absence of teeth as non-atrophic, completely dentate vs atrophic/partially atrophic, with completely edentulous maxillary segments or with at least one missing tooth, excluding third molars [51].
-
The maximum craniocaudal (height), anteroposterior (depth), and transversal (width) dimensions of MS were measured in order to calculate the volume of the antral cavity, based on the equation: \(\mathrm{Vol}=\mathrm{height}\times \mathrm{depth}\times \mathrm{width}\times 0.5\), according to the previously defined criteria [25] (Fig. 2a–c). While the height of the MS was estimated on coronal images, as the distance among the highest point of the roof and the lowest point of the floor, the measurements the depth and width were performed on axial planes calculating the distances between the most anterior/posterior points and between the outermost/medial wall of the sinus, respectively.
-
The presence/absence of antral septa, concha bullosa, Haller cells, and accessory maxillary ostia, were also recorded. Antral septa, described as walls of cortical bone within the MS [2], were diagnosed taking into account a minimal expansion of 2 mm in any of the orthogonal planes [22] (Fig. 2d). Concha bullosa was defined as the presence of pneumatization of any size on the left or right sides within the middle nasal turbinate [2, 46] (Fig. 2e). Haller cells were recognized as ethmoid air cells located along the medial orbital floor above the MS ostium and extending into the sinus [2, 33] (Fig. 2e). Accessory maxillary ostia were identified, using coronal views, as extra openings located on the anterior part of the posterior fontanelle of the lateral nasal wall [7, 48] (Fig. 2f).
-
In addition, different quantitative variables were measured in the coronal view including (a) the angle between the horizontal plane and the vertical axis of the uncinate process (Fig. 3a) [26]; (b) the ostium height, measured from the roof the ostium to the lowest point of the corresponding MS (Fig. 3a); (c) the length of the infundibulum, measured as the distance between the center of the ostium and the uppermost point of the uncinate process (semilunar hiatus) passing through the infundibulum (Fig. 3a) [2]; (d) and the minimum infundibulum width, estimated as the smaller distance among the infundibulum walls (Fig. 3a).
-
Alternatively, the assessment of iatrogenic variables related to surgical or dental treatments included the register of the presence/absence of foreign bodies such as endodontic debris (Fig. 3c) or guided tissue regeneration materials dislodged to the MS (Fig. 3c), and dental implants penetrating the sinus floor, (Fig. 3d). Likewise, the exploration of pathological variables was aimed at evaluating the presence/absence of antroliths (Figs. 3e) as well as periapical and periodontal health statuses. Periapical health was categorized based on the relationship of the periapical lesions and the sinus floor as normal periapical structures (i.e., absence of pathological hypodensities); or presence of periapical lesion, when there were periapical lesions present either separate from (Fig. 3f), in contact (Fig. 3g); or entering (Fig. 3h) the sinus floor [31]. In turn, periodontal status was assessed simultaneously in panoramic and coronal views and stratified according to the maximum degree of bone loss with reference to root length as absent, < 15% tomographic bone loss (Fig. 3i); or slight-to-severe periodontal bone loss, including cases with moderate breakdown (15–33%, Fig. 3j), or with severe bone defects (extending to mid-third of root and beyond, Fig. 3k) [47].
Statistical methods
The analytical process was accomplished with a standard statistical program (SPSS, v.27.0, IBM, Armonk, NY) following three sequential steps. Initially, the intra-observer variability was estimated as the difference between two measurements of each variable performed by the same researchers with 20 DICOM files selected applying a simple random sampling process and using the Cohen’s kappa (κ) or the weighted kappa (κw) statistics for categorical variables and the intraclass correlation coefficient (ICC) for quantitative variables. The time lag among test–retest was 12 months. The interpretation of results was based on the following definitions: values < 0.40 indicated poor reproducibility; 0.40–0.80 indicated fair to good reproducibility; and values > 0.80 indicated excellent reproducibility.
Thereafter, bivariate analyses were conducted in order to determine differences in the variables under study regarding MS mucosal status and to detect potential indicators for association with the mucosal thickenings. For continuous data, the mode of distribution was analyzed using the Kolmogorov–Smirnov test. Given that the variables were normally distributed, they were analyzed using the independent samples t test after homoscedasticity was confirmed using Levene's test. Additionally, Pearson’s correlation coefficient analysis (r) was used to evaluate the possible correlations between quantitative variables and Pearson’s chi-square test (χ2) was used for qualitative data.
Finally, univariate and multivariate binary logistic regression analyses were used to determine the strength and independence of association of significant candidate variables with the mucosal thickenings after adjusting for confounding variables with significance values < 0.20 identified in the bivariate comparisons. For this purpose, all quantitative data were dichotomized according to the optimal cut-offs points obtained from receiver operating characteristic (ROC) curve analysis. Positive associations occurred when the odds ratio (OR) was greater than one and the confidence interval (CI) did not include a value of 1 on any of the constructs. Furthermore, the Hosmer–Lemeshow test was applied to evaluate the goodness-of-fit of the logistic regression models. Also, pairwise interaction analyses were performed for those covariates that threw confounding associations. Statistical significance was set at a value of P < 0.05.
Results
The study sample involved 278 CBCT DICOM files obtained from 114 males ranging in age from 18 to 74 years (mean 42.68 ± 17.00) and 164 females ranging in age from 18 to 86 years (mean 49.12 ± 17.23). The optimal cut-off point for age was set at 47.50 years. For each DICOM file, revealing both right and left MS (n = 556), a total of 21 variables were collected and assessed. The information obtained at patient-level revealed that 28.80% (80 patients) exhibited bilateral MS healthy mucosa and 71.20% (198 patients) had MS mucosal thickenings. Among these, 101 patients (51.00%) presented a unilateral thickening, while 97 (49.00%) presented bilateral thickenings. At the same time, the data gathered at sinus-level showed that 259 MS (46.60%) presented healthy mucosa, while 297 MS (53.40%) had a thickened mucosa. The most frequent mucosal thickening was the flat, shallow thickening ≥ 2 to 4 mm (33.70%), followed by the semispheric thickening of the membrane (23.60%), the flat, shallow thickening > 4 mm (22.90%), the mixed flat and semispheric thickenings (18.50%), and just a small number of cases revealed a complete occupation of the MS (1.30%). In general, the reproducibility analyses showed values ranging between 0.875 and 1.000, demonstrating an excellent intra-observer reliability (P < 0.001; ICC, Cohen’s κ, and κw tests) for all of the quantitative and categorical parameters tested. Complete ostium obstruction was detected in 31 MS (10.4%) with mucosal thickenings. Sinuses with > 4 mm of membrane thickening (including those with flat/shallow, semispheric, mixed flat and semispheric, and with complete occupation of the MS) were linked with a significantly greater proportion of MS with ostium obstruction than those with flat thickening ≥ 2 to 4 mm (13.2% vs 5.0%; P = 0.029, χ2 test, data not shown).
Outcomes of bivariate comparisons
Bivariate comparisons of patient-related, anatomical, pathologic, and iatrogenic predictor parameters with reference to the MS mucosal status are outlined in Tables 1, 2, and 3. From Table 1 is apparent that although there were no significant differences (P > 0.05, χ2 test or unpaired t tests) between the MS mucosal statuses regarding any of patient-related variables, both gender and age had a confounding influence on the results, as they reached P values < 0.20. On the contrast, as can be seen from Table 2, those cases with thickened MS mucosa showed significantly greater mean values of maximum sinus and ostium heights, significantly lower of infundibulum length and width (all P < 0.05, unpaired t test), and a significantly higher proportion of atrophic/partially atrophic alveolar processes (P < 0.05, χ2 test) in comparison with those of the healthy MS mucosa. Moreover, while the maximum depth and the volume of MS also acted as confounders for the associations (P < 0.20, unpaired t test), the proportion of MS mucosal thickenings was statistically similar between the right and left MS (P > 0.05, χ2 test). It was also noteworthy that pathologic and iatrogenic predictors that contributed significantly (Table 3) to the outcome, were the foreign materials, the periapical status, and the tomographic bone loss (P < 0.05, χ2 test), while antroliths had a confounding effect. In addition, regardless of the MS mucosal status, except for infundibulum width and length, Pearson’s correlation analysis showed significant moderate-to-strong and positive correlations between all of the MS dimensions and ostium height (r = 0.477–0.866; all P < 0.001, data not shown); thus, indicating that the ostium height should increase synchronously with increasing of the height, depth, and width of the antral cavity.
Results from binary logistic regression models
Information derived from univariate and multivariate binary logistic regression analyses of significant candidate variables for the association with MS mucosal thickenings before and after adjusting for the effects of those confounders identified in the bivariate analyses is depicted Table 4. Overall, the Hosmer–Lemeshow test probability values fluctuated from 0.052 to 0.392; thus, indicating an acceptable goodness-of-fit for each construct. It can be further appreciated that although the OR of mucosal thickenings was significantly increased (P < 0.05, Wald’s test) in the initial model for those cases with maximum MS height > 33.60 mm, atrophic/partially atrophic alveolar process category, and the presence of foreign materials, a confounding effect was apparent for these three covariates, as the association failed to reach statistical significance (P > 0.05) when adjusted for confounders individually. Conversely, there was no confounding of the association between the ostium height > 28.15 mm, infundibulum length ≤ 9.55 mm, minimum infundibulum width ≤ 0.50 mm, presence of periapical lesions, nor slight-to-severe periodontal bone loss, as all of these covariates, which were significant predictors for mucosal thickenings in the initial model, remained strongly and independently associated (P < 0.05) after adjusting for confounders. Further analyses performed between confounders revealed several pairwise biological interactions that might be involved in determining the MS mucosal thickenings (Table 5). This was evident between maximum MS height > 33.60 mm and maximum MS depth > 35.29 mm, as well as between the age stratum > 47.50 years regarding atrophic/partially atrophic alveolar process status and the presence of foreign materials within MS (all P values < 0.05).
Discussion
MS is of paramount importance in diverse fields, including oral and maxillofacial surgery, otorhinolaryngology, head and neck surgery, as well in maxillofacial radiology. Therefore, CBCT images allow clinicians to diagnose various conditions that may be liaised with the generation and severity of sinus mucosal thickenings and that could affect the correct treatment planning. Notwithstanding, although there is overwhelming evidence that some patient-related [17, 23, 51, 52], anatomical [13, 17, 26], pathologic [3, 9, 15, 20, 32, 38, 41, 49], and iatrogenic [1, 32] variables are usual causes of mucosal thickenings, the information has been not only fragmentary, but also the results have been contradictory. At the knowledge of the authors, this is the first study intended to evaluate and compare comprehensively different risk variables associated with these mucosal abnormalities. Based on the reproducibility results observed within the study, it would possible to assume that this CBCT dataset constitutes reliable imaging findings for qualifying sinus alterations and their related variables with reliability and accuracy.
A better knowledge of the prevalence of MS mucosal thickenings and of the potential risk indicators related to its occurrence is of utmost importance for its prevention. In the current study, MS healthy mucosa was detected just in 28.80% of the patients, while 71.20% of them were diagnosed with mucosal thickenings. Based on the sinus-level data, healthy mucosa was detected in 46.60% and thickened mucosa in 53.40% of the MS. Although different prevalence rates of mucosal thickenings have been reported by several studies, in agreement to the former, other authors found close prevalence rates, with 60.60% of patients [42] and 53.60–66.00% of MS [29, 38, 42] presenting mucosal thickenings. However, lower prevalence rates have been also documented at both patient- [3, 23, 31, 39, 43] and sinus-level [3, 23, 31, 46]. As aforementioned, differences in the criteria used to define normal mucosal thickness might have had a great effect on prevalence estimates and may partly explain this variability [29, 43]. Although 2-mm was considered as a reliable threshold for pathologic mucosal thickening in this study, it has been acknowledged that some features related to the studied populations including ethnic diversity [3, 23, 27, 31, 46], indication of CBCT scans [3, 23], age groups [23, 27, 31, 46, 52], and differences in climate among geographical regions [38], may also influence the differences in prevalence rates. Furthermore, the diagnostic techniques used [27, 46] and dissimilarities in sampling criteria [38] may have led to great differences between the results across the studies.
Regarding the effect of patient-related variables, none of the potential explanatory variables analyzed in this study had a significant influence on the proportion of cases of thickened MS mucosa. In relation to gender and age, the findings have been conflicting as whereas some researchers associate male gender [3, 23, 38,39,40, 51] and aging [3, 23, 31, 39, 40, 52] with the thickened mucosal status, in agreeance with the current results, others have not found differences according gender [31, 52] or age [38, 51]. It was also noteworthy that although nasal septal deviation was found in 60.80% of the CBCT examinations, did not represent a risk indicator for the thickening of MS mucosa, instead it might actually be a regular anatomical variant of this structure, which is in coincidence with the data previously reported [8, 46], but contrasts with studies that have found an increased incidence and severity of MS disease related to increasing deviations of the nasal septum [12, 28]. Overall, these disagreeing results may be attributable to issues related to the inclusion/exclusion criteria which have a profound impact on the sample composition.
Another widely studied subject, for which divergent results have been described, is the influence of the anatomical variables on MS mucosal status. In this study, the ostium height as well as the infundibulum length and width were the foremost risk variables, as those cases with greater ostium height or lower infundibulum length and width were significantly linked with the proportion of MS mucosal thickenings in the univariate analyses and remained toughly and independently associated when adjusted for covariates. Altogether, these anatomical variables are important mainly due to the degree that they facilitate the sinus drainage to avoid the accumulation of secretions within the cavity and the establishment of a chronic inflammatory state. The present results partially parallel those reported by others who reported that some sinusopathies were significantly related to higher ostium height [17] and shorter infundibulum length [2]. Even so, it has also been described that the length of the infundibulum does not represent a parameter that influences the MS mucosal status [17]. These variations between studies could likely be attributable not only to differences in measurement techniques, but also to the severity and spectrum of mucosal thickenings [2, 17]. In addition, although relatively little has been published concerning the influence of infundibular width on the prevalence of MS mucosal thickenings, consistent with the data herein presented, a previous study based on computed tomography scans reported that the occurrence of a smaller infundibulum width is significantly associated with recurrent acute rhinosinusitis [5]. On the other hand, albeit in the bivariate and univariate analyses the maximum MS height > 33.60 mm and the atrophic/partially atrophic status of the alveolar process contributed significantly to the prevalence of mucosal thickenings, a confounding effect was evident after adjusting for other covariates in the final logistic regression model, as these parameters did not reach a significant association. Although these results partially coincide with those of other studies which indicate that the sinus size or volume [37] and the crest type [23, 51] do not have an independent relationship with the mucosal thickenings, since the confounding occurs when there are shared causes among the exposure and an outcome, it would be feasible to deduce that the heterogeneous effects of the male gender condition, aging, the increased depth and volume of MS, as well as the presence of antroliths, may be important modifiers for the impact of the increased MS height or the atrophic/partially atrophic status of the alveolar process for its association with thickened mucosal status.
The current study also analyzed a series of anatomical parameters that might be related to the deterioration of the mucociliary movement pattern and the obstruction of the ostium; thus, increasing the risk of sinus disease [26]. Accordingly, the proportion of cases showing antral septa, concha bullosa, Haller cells, and accessory maxillary ostia, as well as the uncinate process angulation were statistically similar between the study groups. Although there is great variability in the data obtained by other authors, the results obtained in this work indicated a close concordance with some published data concerning antral septa [2], concha bullosa [2, 28, 45], Haller cells [2, 32, 36], accessory maxillary ostium [50], and uncinate process angulation [26]. Nonetheless, discordant data have also been reported regarding Haller cells [4, 26] and the occurrence of accessory maxillary ostium [4, 7, 36, 44, 48]. It is important to point out here that the divergence between the outcomes might be attributable to factors related to anthropometric characteristics and the ethnic variability of the sample population, which may influence the anatomical configuration and location of these structures.
In regards to pathologic and iatrogenic variables, the presence of periapical lesions remained positively associated with the proportion of cases of mucosal thickening throughout the different analyses. In consistency with this finding, all the available studies [3, 18, 20, 27, 31, 41, 46] collectively indicate that periapical lesions might cause a precursor effect on the development of mucosal thickenings by means of passage of bacteria and bacterial by-products from periradicular tissues to the MS directly or through vascular anastomoses, lymphatics, and adjacent alveolar bone marrow spaces, thus involving the MS mucosa [31]. In addition to the above, alike in this work, several studies have highlighted that periodontal bone loss is associated with a greater prevalence of mucosal thickenings [3, 18, 20, 27, 31, 39]. In this context, it has been hypothesized that the possible mechanism for mucosal thickening is the presence of deep periodontal pockets which evoke a local reaction in the sinus mucosa, with edema, cell infiltration, fibrosis, or cystic degeneration in response to spreading of microorganisms and their products as well as tissue cytokines as occur for periapical pathosis [35]. However, other studies have reported contradictory findings [16, 24], so that the relation between the periodontal disease and the appearance of the sinus mucosa in CBCT images remains inconclusive [19]. This discrepancy between studies may be attributable to using different stratification categories for periodontal bone loss. This study further showed that the presence of foreign materials was also significantly related to the proportion of cases with mucosal thickening both in the bivariate and univariate analyses, which is in consonance to what was published in several case reports. Despite of the former, after adjustment for confounders, this association weakened considerably in the multivariate model, masking the role of foreign bodies on the occurrence of mucosal thickenings. Given that in order to draw clinically relevant conclusions, the results must be robust and consistent, that is, appear steadily in various comparisons, it does not seem appropriate to adhere to single significant differences [21]. Consequently, the clinical significance of foreign materials as risk variable for mucosal thickenings remains questionable and needs further investigation. Contrary to the aforesaid findings, though the presence of antroliths did not represent an indicator that influenced the mucosal status, it did have a confounding effect on the results. Although not much information is available about this relationship, this finding is in clear contrast with the previous researches, which suggests that the antroliths are usually accompanied by maxillary sinus inflammation involving mucosal thickening and fluid [14, 15]. While the reasons for the disagreement are not readily apparent, the evidence suggest that the antroliths can be formed, even in the absence of mucosal thickenings, as a consequence of the precipitation of calcium salts around a nidus or concentrated mucus, as observed in this study [15]; thus, confirming the confounding role of the antroliths on other covariates for association with mucosal thickenings.
One additional outstanding issue of the herein results was the detection of significant pairwise interactions between the maximum MS height > 33.60 mm and maximum MS depth > 35.29 mm, as well as between the age stratum > 47.50 years regarding atrophic/partially atrophic alveolar process status and the presence of foreign materials within MS for determining the MS mucosal thickenings. Taking into account that, alike in this study, the variations in the position of maxillary ostium have been positively correlated to MS height [11], and that aging may increase the prevalence of maxillary sinusitis [3] due to a more potential exposure to infections and inflammation [34, 52], it would be possible to assume that the increased MS height and aging can multiply the risk for mucosal thickening when the depth of the sinus is greater, there are foreign materials within the sinus cavity or tooth loss has occurred, thereby leading to impaired mucociliary clearance, mucus stasis, and MS mucosal disorders.
Finally, it is important to underline that in the current study several limitations were evident. First, this was a retrospective tomographic study and no clinical data regarding clinical sinus disease or symptoms were available. Hence, no relationships can be established between membrane thickening and the severity or the spectrum of maxillary sinus disorders. Further studies involving clinical examination in addition to the CBCT analysis are needed to validate the current results. In second instance, tomographic assessments were undertaken in a Colombian population which possesses a complex structure of individuals of different ethnic origins. This circumstance might compromise the generalizability of the study findings to other ethnic groups with different maxillary morphological features. Third, the current study also failed to evaluate the clinical characteristics related with the actual periodontal/periapical condition of the patients, so that the robustness of its association with the mucosal thickenings might have been underrated.
Conclusions
While the increased ostium height, the decreased infundibulum length and width, the presence of periapical lesions and periodontal involvement might be the foremost indicator variables for MS mucosal thickenings, there are synergistic relationships among the increased sinus height and depth as well as aging regarding atrophic/partially atrophic alveolar process status and the presence of foreign materials that may be also associated with a greater proportion of these mucosal abnormalities.
Availability of data and materials
All data will be made available to the editorial board upon request.
References
Abi Najm S, Malis D, El Hage M, Rahban S, Carrel JP, Bernard JP (2013) Potential adverse events of endosseous dental implants penetrating the maxillary sinus: long-term clinical evaluation. Laryngoscope 123:2958–2961. https://doi.org/10.1002/lary.24189
Akay G, Yaman D, Karadağ Ö, Güngör K (2020) Evaluation of the relationship of dimensions of maxillary sinus drainage system with anatomical variations and sinusopathy: cone-beam computed tomography findings. Med Princ Pract 29:354–363. https://doi.org/10.1159/000504963
Aksoy U, Orhan K (2019) Association between odontogenic conditions and maxillary sinus mucosal thickening: a retrospective CBCT study. Clin Oral Investig 23:123–131. https://doi.org/10.1007/s00784-018-2418-x
Ali IK, Sansare K, Karjodkar FR, Vanga K, Salve P, Pawar AM (2017) Cone-beam computed tomography analysis of accessory maxillary ostium and Haller cells: prevalence and clinical significance. Imaging Sci Dent 47:33–37. https://doi.org/10.5624/isd.2017.47.1.33
Alkire BC, Bhattacharyya N (2010) An assessment of sinonasal anatomic variants potentially associated with recurrent acute rhinosinusitis. Laryngoscope 120:631–634. https://doi.org/10.1002/lary.20804
Avsever H, Gunduz K, Karakoç O, Akyol M, Orhan K (2018) Incidental findings on cone-beam computed tomographic images: paranasal sinus findings and nasal septum variations. Oral Radiol 34:40–48. https://doi.org/10.1007/s11282-017-0283-y
Bani-Ata M, Aleshawi A, Khatatbeh A, Al-Domaidat D, Alnussair B, Al-Shawaqfeh R, Allouh M (2020) Accessory maxillary ostia: prevalence of an anatomical variant and association with chronic sinusitis. Int J Gen Med 13:163–168. https://doi.org/10.2147/IJGM.S253569
Bayrak S, Ustaoğlu G, Demiralp KÖ, Kurşun Çakmak EŞ (2018) Evaluation of the characteristics and association between Schneiderian membrane thickness and nasal septum deviation. J Craniofac Surg 29:683–687. https://doi.org/10.1097/SCS.0000000000004254
Brañas GV, Grisolia BG, Iuliano RG, Gualtieri A, Lenarduzzi A, Renou SJ, Rodríguez PA (2018) Relation between periapical lesions and sinus membrane thickening assessed by cone beam computed tomography. Acta Odontol Latinoam 31:164–169
Bornstein MM, Yeung AWK, Tanaka R, von Arx T, Jacobs R, Khong PL (2018) Evaluation of health or pathology of bilateral maxillary sinuses in patients referred for cone beam computed tomography using a low-dose protocol. Int J Periodontics Restor Dent 38:699–710. https://doi.org/10.11607/prd.3435
Butaric LN, Wadle M, Gascon J, Pediatric Imaging, Neurocognition and Genetics Study (2019) Anatomical variation in maxillary sinus ostium positioning: implications for nasal-sinus disease. Anat Rec (Hoboken) 302:917–930. https://doi.org/10.1002/ar.24039
Buyukertan M, Keklikoglu N, Kokten G (2003) A morphometric consideration of nasal septal deviations by people with paranasal complaints; a computed tomography study. Rhinology 41:21–24
Capelli M, Gatti P (2016) Radiological study of maxillary sinus using CBCT: relationship between mucosal thickening and common anatomic variants in chronic rhinosinusitis. J Clin Diagn Res 10:MC07-MC10. https://doi.org/10.7860/JCDR/2016/22365.8931
Chen HH, Yi CA, Chen YC, Huang HH (2021) Anatomical characteristics of maxillary sinus antroliths and their influence on sinus membrane thickness: a retrospective cone beam computed tomography analysis. Int J Oral Maxillofac Surg 50:1107–1112. https://doi.org/10.1016/j.ijom.2020.12.010
Cho BH, Jung YH, Hwang JJ (2019) Maxillary antroliths detected by cone-beam computed tomography in an adult dental population. Imaging Sci Dent 49:59–63. https://doi.org/10.5624/isd.2019.49.1.59
Dagassan-Berndt DC, Zitzmann NU, Lambrecht JT, Weiger R, Walter C (2013) Is the Schneiderian membrane thickness affected by periodontal disease? A cone beam computed tomography-based extended case series. J Int Acad Periodontol 15:75–82
de Carvalho ABG, Ferreira Costa AL, Fuziy A, de Assis ACS, Castro Veloso JR, Coutinho Manhães LR, Junior SMP, de Castro Lopes SLP (2018) Investigation on the relationship of dimensions of the maxillary sinus drainage system with the presence of sinusopathies: a cone beam computed tomography study. Arch Oral Biol 94:78–83. https://doi.org/10.1016/j.archoralbio.2018.06.021
de Lima CO, Devito KL, Baraky Vasconcelos LR, Prado MD, Campos CN (2017) Correlation between endodontic infection and periodontal disease and their association with chronic sinusitis: a clinical-tomographic study. J Endod 43:1978–1983. https://doi.org/10.1016/j.joen.2017.08.014
Eggmann F, Connert T, Bühler J, Dagassan-Berndt D, Weiger R, Walter C (2017) Do periapical and periodontal pathologies affect Schneiderian membrane appearance? Systematic review of studies using cone-beam computed tomography. Clin Oral Investig 21:1611–1630. https://doi.org/10.1007/s00784-016-1944-7
Goller-Bulut D, Sekerci AE, Köse E, Sisman Y (2015) Cone beam computed tomographic analysis of maxillary premolars and molars to detect the relationship between periapical and marginal bone loss and mucosal thickness of maxillary sinus. Med Oral Patol Oral Cir Bucal 20:e572-579. https://doi.org/10.4317/medoral.20587
González-Pérez LV, Isaza-Guzmán DM, Tobón-Arroyave SI (2014) Association study between clinicopathological variables and periodontal breakdown in gingival pyogenic granuloma. Clin Oral Investig 18:2137–2149. https://doi.org/10.1007/s00784-014-1195-4
Hungerbühler A, Rostetter C, Lübbers HT, Rücker M, Stadlinger B (2019) Anatomical characteristics of maxillary sinus septa visualized by cone beam computed tomography. Int J Oral Maxillofac Surg 48:382–387. https://doi.org/10.1016/j.ijom.2018.09.009
Hsiao YJ, Yang J, Resnik RR, Suzuki JB (2019) Prevalence of maxillary sinus pathology based on cone-beam computed tomography evaluation of multiethnicity dental school population. Implant Dent 28:356–366. https://doi.org/10.1097/ID.0000000000000902
Janner SF, Caversaccio MD, Dubach P, Sendi P, Buser D, Bornstein MM (2011) Characteristics and dimensions of the Schneiderian membrane: a radiographic analysis using cone beam computed tomography in patients referred for dental implant surgery in the posterior maxilla. Clin Oral Implant Res 22:1446–1453. https://doi.org/10.1111/j.1600-0501.2010.02140.x
Kanthem RK, Guttikonda VR, Yeluri S, Kumari G (2015) Sex determination using maxillary sinus. J Forensic Dent Sci 7:163–167. https://doi.org/10.4103/0975-1475.154595
Khojastepour L, Haghnegahdar A, Khosravifard N (2017) Role of sinonasal anatomic variations in the development of maxillary sinusitis: a cone beam CT analysis. Open Dent J 30:367–374. https://doi.org/10.2174/1874210601711010367
Khorramdel A, Shirmohammadi A, Sadighi A, Faramarzi M, Babaloo AR, Sadighi Shamami M, Mousavi A, Ebrahim Adhami Z (2017) Association between demographic and radiographic characteristics of the schneiderian membrane and periapical and periodontal diseases using cone-beam computed tomography scanning: a retrospective study. J Dent Res Dent Clin Dent Prospect 11:170–176. https://doi.org/10.15171/joddd.2017.031
Kucybała I, Janik KA, Ciuk S, Storman D, Urbanik A (2017) Nasal septal deviation and concha bullosa - do they have an impact on maxillary sinus volumes and prevalence of maxillary sinusitis? Pol J Radiol 82:126–133. https://doi.org/10.12659/PJR.900634
Lim HC, Nam JY, Cha JK, Lee JS, Lee DW, Jung UW, Choi SH (2017) Retrospective analysis of sinus membrane thickening: profile, causal factors, and its influence on complications. Implant Dent 26:868–874. https://doi.org/10.1097/ID.0000000000000667
Lorkiewicz-Muszyńska D, Kociemba W, Rewekant A, Sroka A, Jończyk-Potoczna K, Patelska-Banaszewska M, Przystańska A (2015) Development of the maxillary sinus from birth to age 18. Postnatal growth pattern. Int J Pediatr Otorhinolaryngol 79:1393–1400. https://doi.org/10.1016/j.ijporl.2015.05.032
Lu Y, Liu Z, Zhang L, Zhou X, Zheng Q, Duan X, Zheng G, Wang H, Huang D (2012) Associations between maxillary sinus mucosal thickening and apical periodontitis using cone-beam computed tomography scanning: a retrospective study. J Endod 38:1069–1074. https://doi.org/10.1016/j.joen.2012.04.027
Marin S, Kirnbauer B, Rugani P, Payer M, Jakse N (2019) Potential risk factors for maxillary sinus membrane perforation and treatment outcome analysis. Clin Implant Dent Relat Res 21:66–72. https://doi.org/10.1111/cid.12699
Mathew R, Omami G, Hand A, Fellows D, Lurie A (2013) Cone beam CT analysis of Haller cells: prevalence and clinical significance. Dentomaxillofac Radiol 42:20130055. https://doi.org/10.1259/dmfr.20130055
Monje A, Diaz KT, Aranda L, Insua A, Garcia-Nogales A, Wang HL (2016) Schneiderian membrane thickness and clinical implications for sinus augmentation: a systematic review and meta-regression analyses. J Periodontol 87:888–899. https://doi.org/10.1902/jop.2016.160041
Lathiya VN, Kolte AP, Kolte RA, Mody DR (2018) Effect of periodontal therapy on maxillary sinus mucous membrane thickening in chronic periodontitis: a split-mouth study. J Dent Res Dent Clin Dent Prospect 12(3):166–173. https://doi.org/10.15171/joddd.2018.026
Özcan İ, Göksel S, Çakır-Karabaş H, Ünsal G (2021) CBCT analysis of haller cells: relationship with accessory maxillary ostium and maxillary sinus pathologies. Oral Radiol 37:502–506. https://doi.org/10.1007/s11282-020-00487-2
Pérez Sayáns M, Suárez Quintanilla JA, Chamorro Petronacci CM, Suárez Peñaranda JM, López Jornet P, Gómez García F, Guerrero Sánchez Y (2020) Volumetric study of the maxillary sinus in patients with sinus pathology. PLoS ONE 15:e0234915. https://doi.org/10.1371/journal.pone.0234915
Rege IC, Sousa TO, Leles CR, Mendonça EF (2012) Occurrence of maxillary sinus abnormalities detected by cone beam CT in asymptomatic patients. BMC Oral Health 12:30. https://doi.org/10.1186/1472-6831-12-30
Ren S, Zhao H, Liu J, Wang Q, Pan Y (2015) Significance of maxillary sinus mucosal thickening in patients with periodontal disease. Int Dent J 65:303–310. https://doi.org/10.1111/idj.12186
Ritter L, Lutz J, Neugebauer J, Scheer M, Dreiseidler T, Zinser MJ, Rothamel D, Mischkowski RA (2011) Prevalence of pathologic findings in the maxillary sinus in cone-beam computerized tomography. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 111:634–640. https://doi.org/10.1016/j.tripleo.2010.12.007
Souza-Nunes LA, Verner FS, Rosado LPL, Aquino SN, Carvalho ACP, Junqueira RB (2019) Periapical and endodontic status scale for endodontically treated teeth and their association with maxillary sinus abnormalities: a cone-beam computed tomographic study. J Endod 45:1479–1488. https://doi.org/10.1016/j.joen.2019.09.005
Shanbhag S, Karnik P, Shirke P, Shanbhag V (2014) Cone-beam computed tomographic analysis of sinus membrane thickness, ostium patency, and residual ridge heights in the posterior maxilla: implications for sinus floor elevation. Clin Oral Implant Res 25:755–760. https://doi.org/10.1111/clr.12168
Sheikhi M, Pozve NJ, Khorrami L (2014) Using cone beam computed tomography to detect the relationship between the periodontal bone loss and mucosal thickening of the maxillary sinus. Dent Res J (Isfahan) 11:495–501
Shetty S, Al Bayatti SW, Al-Rawi NH, Samsudin R, Marei H, Shetty R, Abdelmagyd HA, Reddy S (2021) A study on the association between accessory maxillary ostium and maxillary sinus mucosal thickening using cone beam computed tomography. Head Face Med 17:28. https://doi.org/10.1186/s13005-021-00284-0
Stallman JS, Lobo JN, Som PM (2004) The incidence of concha bullosa and its relationship to nasal septal deviation and paranasal sinus disease. AJNR Am J Neuroradiol 25:1613–1618
Tassoker M (2020) What are the risk factors for maxillary sinus pathologies? A CBCT study. Oral Radiol 36:80–84. https://doi.org/10.1007/s11282-019-00382-5
Tonetti MS, Greenwell H, Kornman KS (2018) Staging and grading of periodontitis: framework and proposal of a new classification and case definition. J Clin Periodontol 45:S149–S161. https://doi.org/10.1111/jcpe.12945
Yenigun A, Fazliogullari Z, Gun C, Uysal II, Nayman A, Karabulut AK (2016) The effect of the presence of the accessory maxillary ostium on the maxillary sinus. Eur Arch Otorhinolaryngol 273:4315–4319. https://doi.org/10.1007/s00405-016-4129-8
Yeung AWK, Tanaka R, Khong PL, von Arx T, Bornstein M (2018) Frequency, location, and association with dental pathology of mucous retention cysts in the maxillary sinus. A radiographic study using cone beam computed tomography (CBCT). Clin Oral Investig 22:1175–1183. https://doi.org/10.1007/s00784-017-2206-z
Yeung AWK, Colsoul N, Montalvao C, Hung K, Jacobs R, Bornstein MM (2019) Visibility, location, and morphology of the primary maxillary sinus ostium and presence of accessory ostia: a retrospective analysis using cone beam computed tomography (CBCT). Clin Oral Investig 23:3977–3986. https://doi.org/10.1007/s00784-019-02829-9
Yildirim TT, Güncü GN, Göksülük D, Tözüm MD, Colak M, Tözüm TF (2017) The effect of demographic and disease variables on Schneiderian membrane thickness and appearance. Oral Surg Oral Med Oral Pathol Oral Radiol 124:568–576. https://doi.org/10.1016/j.oooo.2017.09.002
Zimmo N, Insua A, Sinjab K, Chan HL, Shaikh L, Wang HL (2018) Impact of sex, age, and season on sinus membrane thickness. Int J Oral Maxillofac Implant 33:175–180. https://doi.org/10.11607/jomi.5924
Funding
Open Access funding provided by Colombia Consortium. This study has been supported by the Technical Research Council of the Faculty of Dentistry of University of Antioquia (CIFO-Code 2020-36871).
Author information
Authors and Affiliations
Contributions
CB-N and SEU-dV participated in the design of the study, accomplished the evaluation of CBCT images, the analysis of the results, and were involved in drafting the manuscript. CIS-N and JLO-C participated in the design of the study, calibration of the examiners, and in the manuscript preparation. SIT-A handled the study concepts and design, supervised data acquisition, performed data analysis and interpretation, and critically evaluated and supplemented the manuscript. All the authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no financial affiliation or involvement with any commercial organization with direct financial interest in the subject or materials discussed in this manuscript.
Ethical approval
This study was approved by the Institutional Ethics Committee for Human Studies of the University of Antioquia (Concept Number 56-2020).
Consent to participate
Written consent was obtained for all of the participant in this study.
Consent for publication
All the authors give consent for publication of this work.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Betin-Noriega, C., Urbano-del Valle, S.E., Saldarriaga-Naranjo, C.I. et al. Analysis of risk variables for association with maxillary sinus mucosal thickenings: a cone-beam computed tomography-based retrospective study. Surg Radiol Anat 45, 417–429 (2023). https://doi.org/10.1007/s00276-023-03090-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00276-023-03090-2