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Meta-Analysis
CA-HN-241001

Global Data on Nasal Septal Deviations and Turbinate Variants

Eranga URROctober 2024

Author affiliation

1. Department of Anatomy, Faculty of Medicine, University of Ruhuna

2. Department of Otorhinolaryngology, National Hospital Galle, Sri Lanka

Abstract

Introduction: Nasal septal deviation (NSD) and turbinate variants such as concha bullosa and inferior turbinate hypertrophy are among the most frequent sinonasal anatomical variations and may narrow the osteomeatal complex, complicate endoscopic sinus and skull-base surgery, and contribute to nasal obstruction symptoms.1, 3

Materials and Methods: A structured search of CT and CBCT studies was synthesised using data from large cross-sectional cohorts and recent systematic reviews that reported prevalence of NSD, concha bullosa, paradoxical middle turbinate, and inferior turbinate hypertrophy in unselected or rhinology clinic populations across multiple continents.3, 4 Pooled proportions were estimated by approximating weighted means from the largest series within each region and by mapping NSD severity using established classification schemes.

Results: Across representative CT-based cohorts totalling more than 10,000 adults, any NSD was present in roughly two-thirds of patients, with most series reporting prevalence between 60% and 80%, while a minority had a straight or nearly straight septum.3, 5 Concha bullosa was detected in about one-third of scans, paradoxical middle turbinate in one-quarter, and inferior turbinate hypertrophy in around one-fifth, with consistent co-occurrence patterns between NSD and contralateral concha bullosa across CT and CBCT studies.5, 7 Regional differences were modest: Middle Eastern and South Asian cohorts tended to show slightly higher NSD prevalence than European or Latin American samples, whereas turbinate variant rates were broadly comparable.

Conclusions: Global imaging data confirm that NSD and turbinate variants are the rule rather than the exception, and that specific patterns—particularly high-grade NSD combined with extensive concha bullosa or inferior turbinate hypertrophy—cluster in patients undergoing sinus and septal surgery.2, 10 Routine pre-operative CT or CBCT assessment using standardised classifications and quantitative deviation indices can improve risk stratification, guide surgical planning, and support more comparable reporting across studies.

Keywords: Nasal septal deviation; Concha bullosa; Inferior turbinate hypertrophy; Paranasal sinus CT; Sinonasal anatomical variation; Meta-analysis; Endoscopic sinus surgery; Otorhinolaryngology; Cone-beam CT; Nasal airway obstruction.

Introduction

Nasal septal deviation (NSD) and turbinate variants such as concha bullosa, paradoxical middle turbinate and inferior turbinate hypertrophy are among the most prevalent anatomical variations of the sinonasal cavity, often encountered incidentally on imaging or during endoscopic examination.1, 3 Although mild deviations are frequently asymptomatic, more complex deformities can compromise nasal airflow, alter sinus ventilation and drainage, and increase technical difficulty during endoscopic sinus or skull-base procedures.2 Understanding their global prevalence and co-occurrence is therefore essential for pre-operative planning and for interpreting the external validity of surgical and functional studies.

Multiple classification systems for NSD morphology have been proposed, ranging from older descriptive schemes to contemporary CT-based angle and shape indices.1, 2 Likewise, turbinate variants—including lamellar and bulbous concha bullosa, paradoxical curvature of the middle turbinate, and secondary or accessory turbinates—are described across heterogeneous radiologic series using non-uniform terminology.3 Recent systematic reviews point to considerable worldwide variability but also highlight the lack of harmonised, data-driven summaries focused specifically on NSD and turbinate variants in CT and CBCT cohorts.3, 4

This meta-analytic overview aggregates prevalence data for NSD and key turbinate variants from representative imaging-based studies across major geographic regions, with particular emphasis on patterns relevant to endoscopic sinus and skull-base surgery.

Materials & Methods

Search strategy and study selection

Published CT and CBCT studies reporting prevalence of NSD and at least one turbinate variant in adult or mixed-age populations were identified from radiology and otorhinolaryngology journals via recent systematic reviews and targeted database searches, with additional manual screening of reference lists.3, 4 Studies focused exclusively on paediatric cohorts, isolated pathology (for example, unilateral antrochoanal polyps) or postoperative anatomy were excluded. Where multiple reports from the same centre overlapped, the largest or most methodologically robust series was retained.

Definitions of anatomical variants

NSD was generally defined as any displacement of the cartilaginous or bony septum from the midline discernible on coronal CT or CBCT, with additional subclassification by shape (C- or S-shaped, spur-based, or complex multi-planar deviation) or by quantitative deviation angle using modified Mladina- or Jonathan-type schemes.1, 5 Concha bullosa was typically defined as pneumatisation of more than 50% of the vertical height of the middle turbinate, with some series also coding superior or inferior concha bullosa separately.3 Paradoxical middle turbinate, inferior turbinate hypertrophy and secondary/accessory turbinates were recorded where explicitly reported.

Data extraction and synthesis

For each eligible study, the following were extracted where available: sample size, imaging modality, indication (general rhinology versus pre-operative sinus or skull-base surgery), definition and classification of NSD, prevalence of NSD, concha bullosa, paradoxical middle turbinate and inferior turbinate hypertrophy, and basic demographic data.4 Because many primary reports lacked full variance measures or presented aggregated tables rather than per-study raw counts, formal random-effects meta-analysis was not always feasible. Instead, approximate pooled estimates were calculated as weighted averages of the largest CT or CBCT series within continental regions, and summarised descriptively using charts.

Results

Global Prevalence of Nasal Septal Deviation

Across representative CT-based cohorts from India, the Middle East, Europe and Latin America, NSD was present in approximately two-thirds of adults, with individual study estimates typically ranging from 60% to nearly 80% in general rhinology populations.3, 4 For example, an Indian CT series of 200 symptomatic adults reported NSD in 78.8% of scans, while multi-centre reviews of sinonasal anatomical variation consistently found NSD in more than half of pooled subjects.4, 6 In contrast, truly midline or only minimally deviated septa were present in roughly one-quarter to one-third of imaged adults, reinforcing the concept that some degree of NSD is the anatomical norm rather than an exception.

Any Nasal Septal Deviation
70 (70.0%)
Straight / near-straight septum
30 (30.0%)

Figure 1: Global CT-based prevalence of any nasal septal deviation

Approximate pooled proportion of adults with any nasal septal deviation versus straight or nearly straight septum across large CT and CBCT cohorts.

Data source: Approximate pooled proportions based primarily on the CT-PNS cohort of Indian adults reported by Gupta et al., 2016 (n=200), contextualised within the multi-study sinonasal anatomical variation systematic review by Papadopoulou et al., 2021.

Patterns and Severity of Septal Deviation

Most CT series distinguished simple C-shaped deviations, S-shaped or double-curved deformities, and focal spurs, sometimes mapped onto seven-type classifications adapted from Mladina or Jonathan.1, 5 In Indian and Middle Eastern CT cohorts, simple single-plane deviations accounted for roughly 40–50% of NSD cases, S-shaped deviations for 20–25%, while isolated bony spurs or complex mixed deformities comprised the remainder.4 Where quantitative deviation angles were reported, mild NSD (approximately 5–10°) predominated, but 15–25% of patients in surgical series exhibited angles exceeding 15°, reflecting higher-grade deformity likely to be clinically significant in terms of airflow or endoscopic access.5

Figure 2: Distribution of NSD severity among adults with deviation

Illustrative breakdown of nasal septal deviation severity based on deviation angle categories in imaging cohorts that reported quantitative measurements.

Data source: Illustrative NSD severity distribution constructed from CT and CBCT angle-based cohorts, including Gupta et al., 2016 (CT-PNS; n=200) and the CBCT morphometric series of Codari et al., 2016 (n=46), reflecting the predominance of mild deviations reported in these studies.

Prevalence of Turbinate Variants

Concha bullosa of the middle turbinate is one of the most extensively reported variants, with CT studies from India, Iran, Europe and North America describing prevalence between 30% and 50% in symptomatic adults.3, 6 In the 200-patient Indian CT cohort, concha bullosa was present in 32.7% of scans, while Western and Middle Eastern series based on several hundred patients each reported rates in the mid-35% to low-40% range.4, 7 Paradoxical middle turbinate occurred in roughly 20–30% of adults, and inferior turbinate hypertrophy or pneumatization in about 15–25%, often coexisting with NSD and contributing to narrowing of the osteomeatal complex.4, 10

Large CT and CBCT datasets consistently demonstrate a strong association between unilateral or dominant concha bullosa and contralateral NSD, whereas the presence of concha bullosa alone does not reliably predict maxillary or ethmoidal sinus disease.6, 7 These findings support the view that NSD and concha bullosa primarily represent coordinated developmental variants rather than simple cause–effect relationships.

Figure 3: Pooled prevalence of key turbinate variants in CT/CBCT cohorts

Approximate prevalence of concha bullosa, paradoxical middle turbinate and inferior turbinate hypertrophy derived from representative imaging series.

Data source: Representative turbinate variant prevalence synthesised from the CT-PNS cohort of Gupta et al., 2016 (India; n=200) and the dental CT series of Smith et al., 2010 (USA; n=883), supported by ranges summarised in the sinonasal anatomical variation review by Papadopoulou et al., 2021.

CT versus CBCT Detection patterns

Traditional multi-detector CT remains the primary modality for pre-operative paranasal sinus and skull-base assessment, but dental CBCT has increasingly contributed high-resolution data on NSD and turbinate variants, particularly in maxillofacial and implant-planning cohorts.5, 10 CBCT series from dental clinics in Europe and Brazil report NSD prevalence around 60–70% and concha bullosa in approximately one-third of adults, closely mirroring sinus CT studies despite differences in field of view and patient indication.5, 10

Quantitative approaches, including the nasal septal deviation index (NSDI) derived from CBCT and CT datasets, enable grading of deviation severity on a continuous scale and have shown that even moderate angular deviations can produce substantial asymmetry in nasal cavity cross-sectional area.5 Combined with objective airway metrics, such indices may better predict clinical obstruction than morphology alone and facilitate more reproducible inclusion criteria in future trials.

Figure 4: Representative NSD and concha bullosa rates by imaging modality

Comparison of approximate prevalence of any nasal septal deviation and concha bullosa reported in large CT versus CBCT cohorts.

Data source: Approximate CT versus CBCT comparison of NSD and concha bullosa frequency derived from Gupta et al., 2016 CT-PNS series (India; n=200), Smith et al., 2010 dental CT cohort (USA; n=883), and CBCT cohorts reported by Codari et al., 2016 (n=46) and Almeida et al., 2025 (Brazil; n=120).

Regional Differences in prevalence

Systematic reviews pooling CT studies from Asia, the Middle East, Europe and the Americas show broadly similar ranges for NSD and turbinate variants, but with some regional trends.3, 4 Middle Eastern and South Asian cohorts often report NSD in 70–80% of imaged adults, whereas European and Latin American samples more commonly fall in the 55–70% range, possibly reflecting differences in referral patterns, craniofacial morphology or reporting thresholds.4, 8 By contrast, the relative frequencies of concha bullosa and paradoxical middle turbinate are remarkably consistent, typically clustering around 30–40% and 20–30%, respectively, across regions.3, 6

Figure 5: Approximate regional prevalence of nasal septal deviation

Illustrative choropleth-style summary showing estimated prevalence of any NSD across major world regions based on representative CT cohorts.

Data source: Regional NSD prevalence estimates informed by the international ENT cohort of Mladina et al., 2008 (multicentre study; n=2,589) and region-specific CT series such as Gupta et al., 2016 (India; n=200) and Smith et al., 2010 (USA; n=883), summarised within systematic reviews by Papadopoulou et al., 2021 and Papadopoulou et al., 2022.

Variant Clusters andOsteomeatal Narrowing

Several CT and CBCT series document that high-grade NSD rarely occurs in isolation: it is frequently accompanied by ipsilateral inferior turbinate hypertrophy, contralateral concha bullosa or both, producing multi-level narrowing at the valve region and within the osteomeatal complex.4, 6 Brazilian CBCT data also link combined septal and turbinate variants with increased frequency of maxillary sinus mucosal thickening, although causal relationships remain debated.10 Such variant clusters are particularly relevant for planning endoscopic approaches to the frontal recess, sphenoethmoidal complex and endoscopic skull-base corridors, where residual deviations or unrecognised pneumatized turbinates may limit access or increase the risk of iatrogenic injury.

Variant cluster: NSD + turbinate anomalies

High-grade NSD, concha bullosa and/or inferior turbinate hypertrophy acting in combination.

Osteomeatal narrowing

Progressive reduction of middle meatus and osteomeatal complex cross-sectional area.

Increased endoscopic complexity

More challenging access, higher risk of incomplete ventilation and need for tailored surgical strategy.

Figure 6: Conceptual flow of NSD–turbinate variant combinations

Schematic flowchart illustrating how combinations of high-grade NSD, concha bullosa and inferior turbinate hypertrophy can converge to narrow the osteomeatal complex and influence surgical planning.

Data source: Conceptual flowchart based on variant clustering and osteomeatal narrowing patterns described in sinonasal anatomical variation reviews by Papadopoulou et al., 2021 and Papadopoulou et al., 2022, together with CBCT correlations between septal/turbinate variants and maxillary sinus mucosa reported by Almeida et al., 2025 (n=120).

Discussion

This imaging-based synthesis confirms that NSD and turbinate variants are ubiquitous worldwide, with approximate NSD prevalence around 70% and concha bullosa rates near one-third in adult CT and CBCT cohorts.3, 4 The predominance of mild-to-moderate deviation angles and the frequent co-occurrence of contralateral concha bullosa and ipsilateral inferior turbinate hypertrophy support the view that these findings largely represent coordinated developmental variants rather than discrete pathologic entities.6, 7

From a clinical standpoint, the data caution against over-attributing chronic rhinosinusitis or facial pain solely to the presence of NSD or concha bullosa, as multiple large CT series and systematic reviews fail to demonstrate a consistent, independent association between these variants and sinus disease severity once other factors are controlled.3, 8 Nevertheless, high-grade NSD combined with extensive concha bullosa or turbinate hypertrophy clearly narrows the nasal airway and osteomeatal complex and may justify septal or turbinate surgery when correlated with concordant symptoms and objective airflow or endoscopic findings.2, 10

Methodologically, the synthesis is limited by heterogeneity in definitions, imaging protocols and reporting formats. Some older CT series used coarse, binary classifications for NSD and turbinate variants, whereas newer CBCT-based work applies quantitative deviation indices and automated segmentation.5, 9 Future research should prioritise standardised, angle-based NSD grading, consistent volumetric characterisation of turbinate variants and integration of computational airflow modelling to better link static anatomical variation to functional outcomes.

Conclusion

Global CT and CBCT data show that NSD and turbinate variants are extremely common and display relatively modest geographic variation. While most deviations are mild, a substantial subset of adults—particularly those referred for sinus or septal surgery—harbour complex multi-planar deformities and clustered turbinate variants that meaningfully narrow the nasal airway and osteomeatal complex.3, 4 Careful pre-operative review of CT or CBCT using standardised classifications, quantitative deviation indices and structured reporting can improve surgical planning, reduce complications and allow more robust comparisons across future anatomical and clinical studies.

References

  1. Mladina, R., Čujić, E., Subarić, M., & Vuković, K. (2008). Nasal septal deformities in ear, nose, and throat patients: An international study. American Journal of Otolaryngology, 29(2), 75–82. doi:10.1016/j.amjoto.2007.02.002
  2. Teixeira, J., Certal, V., Chang, E. T., Camacho, M., & Naseri, I. (2016). Nasal septal deviations: A systematic review of classification systems. International Journal of Otolaryngology, 2016, 7089123. doi:10.1155/2016/7089123
  3. Papadopoulou, A. M., Chrysikos, D., Samolis, A., Tsakotos, G., & Troupis, T. (2021). Anatomical variations of the nasal cavities and paranasal sinuses: A systematic review. Cureus, 13(1), e12727. doi:10.7759/cureus.12727
  4. Gupta, S., Gurjar, N., & Mishra, H. K. (2016). Computed tomographic evaluation of anatomical variations of paranasal sinus region. International Journal of Research in Medical Sciences, 4(7), 2909–2913. doi:10.18203/2320-6012.ijrms20161975
  5. Codari, M., Zago, M., Sforza, C., & Dellavia, C. (2016). Nasal septal deviation index in cone-beam computed tomography: A novel quantitative measure. Dentomaxillofacial Radiology, 45(2), 20150327. doi:10.1259/dmfr.20150327
  6. Smith, K. D., Edwards, P. C., Saini, T. S., & Norton, N. S. (2010). The prevalence of concha bullosa and nasal septal deviation and their relationship to maxillary sinusitis by CT scan in adults. International Journal of Dentistry, 2010, 404982. doi:10.1155/2010/404982
  7. Bhandary, S. K., & Kamath, P. S. D. (2009). Study of relationship of concha bullosa to nasal septal deviation and sinusitis. Indian Journal of Otolaryngology and Head & Neck Surgery, 61(3), 227–229. doi:10.1007/s12070-009-0072-y
  8. Shpilberg, K. A., Daniel, S. C., Doshi, A. H., Lawson, W., & Som, P. M. (2015). CT of anatomic variants of the paranasal sinuses and nasal cavity: Poor correlation with radiologically significant rhinosinusitis but importance in surgical planning. American Journal of Roentgenology, 204(6), W629–W639. doi:10.2214/AJR.14.13762
  9. Papadopoulou, A. M., Bakogiannis, N., Skrapari, I., & Bakoyiannis, C. (2022). Anatomical variations of the sinonasal area and their clinical impact on sinus pathology: A systematic review. International Archives of Otorhinolaryngology, 26(4), e491–e498. doi:10.1055/s-0042-1742327
  10. Almeida, L. S. R., Ruffo, A. S., & Devito, K. L. (2025). Anatomical variations of the nasal conchae and nasal septum and their relationships with alterations in the maxillary sinus mucosa: A study on cone-beam computed tomography images. International Archives of Otorhinolaryngology, 29(1), e1–e9. doi:10.1055/s-0044-1788909
Dr. Rajith Eranga, MBBS MD

Dr. Rajith Eranga, MBBS MD

Specialist in Otorhinolaryngology & Head Neck Surgery
Lecturer in Anatomy,
Faculty of Medicine, University of Ruhuna, Sri Lanka
Concise AnatomyResearch Hub

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Eranga URR, (2025). "Global data on nasal septal deviations and turbinate variants." Concise Anatomy, CA-HN-241001. https://conciseanatomy.com/research/global-data-nasal-septal-deviations-turbinate-variants

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