- Faculty of Medical Sciences, Universidad Catolica de Santiago de Guayaquil, Guayaquil, Guayas, Ecuador
- Department of Neurosurgery, Luis Vernaza Hospital, Junta de Beneficencia de Guayaquil, Guayaquil, Guayas, Ecuador
Correspondence Address:
Marcelo Rafael Vera Larrea, Faculty of Medical Sciences, Universidad Catolica de Santiago de Guayaquil, Guayaquil, Guayas, Ecuador.
DOI:10.25259/SNI_294_2025
Copyright: © 2025 Surgical Neurology International This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.How to cite this article: Marcelo Rafael Vera Larrea1, Rocío Santibáñez Vásquez1, David Martínez Neira2. Prevalence of anatomical variants in preoperative computed tomography imaging for surgical planning of the endonasal transsphenoidal corridor. 30-May-2025;16:208
How to cite this URL: Marcelo Rafael Vera Larrea1, Rocío Santibáñez Vásquez1, David Martínez Neira2. Prevalence of anatomical variants in preoperative computed tomography imaging for surgical planning of the endonasal transsphenoidal corridor. 30-May-2025;16:208. Available from: https://surgicalneurologyint.com/?post_type=surgicalint_articles&p=13595
Abstract
Background: The endonasal transsphenoidal approach is a fundamental technique for the resection of pituitary tumors. Anatomical variability of the sphenoid sinus and its relationship with neurovascular structures can influence surgical planning and outcomes.
Methods: A retrospective observational prevalence study was conducted using data from 102 patients from the INVIMEDIC database. Preoperative tomographic images in DICOM format were analyzed using RadiAnt Viewer®. Data were collected in Microsoft Excel and analyzed with the Statistical Package for the Social Sciences 28 for Windows, including cross tables, Pearson’s Chi-square test, and logistic regression analysis.
Results: Significant sex-based differences were identified in sphenoid sinus morphology. The mean anteroposterior length in the overall population was 24.55 mm, with males showing greater depth (26.01 mm vs. 22.98 mm in females) and width (33.26 mm vs. 29.94 mm in females).
Conclusion: Significant morphological differences in the sphenoid sinus were observed between sexes, highlighting dimensions that contrast with previous studies. These findings emphasize the importance of assessing anatomical variations to optimize transsphenoidal approach planning and minimize surgical risks.
Keywords: Anatomy, Endonasal, Neuronavigation, Pituitary, Sellar, Transsphenoidal
INTRODUCTION
The endonasal transsphenoidal approach has gained prominence in neurosurgery and otorhinolaryngology as a minimally invasive technique for accessing the sellar region to resect pituitary tumors.[
Preoperative computed tomography (CT) imaging and neuronavigation, introduced in 2008, have become essential tools for identifying these variations and optimizing surgical planning.[
While epidemiological data in Latin America remain scarce,[
Previous studies have extensively analyzed anatomical variations affecting this surgical corridor. In 2021, Monash University in Melbourne conducted a systematic review of skeletal, vascular, and neural variations in the nasal, sphenoidal, and sellar regions.[
Understanding the detailed anatomy of the endonasal transsphenoidal corridor is crucial for successful surgery. Beyond classical anatomical knowledge, identifying patient-specific anatomical variants enhances preoperative planning, improves surgical accuracy, optimizes resource utilization, and ultimately reduces perioperative complications and morbidity.[
MATERIALS AND METHODS
Study design
This is a retrospective observational analytical study based on previously acquired data, with no intervention by the researchers. The study aims to analyze the prevalence of anatomical variants observed in preoperative CT scans for surgical planning in patients undergoing an endonasal transsphenoidal surgical corridor approach to the sella turcica.
Study population
The study includes all available patients who underwent surgery using the endonasal transsphenoidal corridor approach between 2021 and 2023, as recorded in the INVIMEDIC database. INVIMEDIC, a commercial provider of neuronavigation services, supplied CT images from multiple healthcare centers in Ecuador:
Hospital Luis Vernaza – Junta de Beneficencia de Guayaquil (Guayaquil) Interhospital (Guayaquil) Clínica Kennedy (Guayaquil) Instituto Ecuatoriano de Seguridad Social (Ecuadorian Social Security Institute) (IESS) hospital network Hospital Teodoro Maldonado Carbo (HTMC, Teodoro Maldonado Carbo Hospital) and Hospital General Norte Ceibos (HGNCI, General Hospital North Ceibos), both located in Guayaquil. Clínica del Sol (Manta).
Inclusion criteria
Patients who underwent surgery using the endonasal transsphenoidal corridor approach to access the sella turcica.
Exclusion criteria
Patients who underwent surgery using alternative surgical corridors to access the sella turcica.
Sample size calculation
The study included all available cases (n = 102 patients), eliminating the need for sample size estimation.
Methodology
This was a non-experimental, cross-sectional analytical cohort study of male and female patients aged 25–74 years. The study utilized preoperative CT scans in DICOM format, provided by INVIMEDIC. Image analysis was performed using RadiAnt DICOM Viewer®. Data were tabulated in Microsoft Excel.
Each CT scan was analyzed individually by the principal investigator in collaboration with the Neurosurgery Department at Hospital Luis Vernaza, ensuring technical accuracy in identifying and categorizing anatomical variants.
Anatomical reference points and measurements
Quantitative anatomical measurements were performed using standardized radiological protocols.
Anteroposterior length of the sphenoid sinus
Measured from the medial ostium to the posterior wall of the sphenoid sinus Measurement was performed on a sagittal bone-sequence CT scan.
Lateral width of the sphenoid sinus
Measured between the lateral walls at the widest point of the sphenoid sinus Measurement was performed on an axial bone-sequence CT scan.
Height of the sphenoid sinus
Measured between the highest point of the sinus roof and the lowest point of the sinus floor Measurement was performed on a coronal bone-sequence CT scan.
Intercarotid distance
Measured between the right and left carotid foramina The image was set to “Angio” mode and negative contrast to enhance bony impressions of the arteries Measurement was performed on an axial CT scan.
RESULTS
A total of 102 patients were analyzed after applying inclusion and exclusion criteria. Statistical analyses were performed using the Statistical Package for the Social Sciences 28, and the following key findings were obtained:
Sphenoid sinus dimensions and intercarotid distance
These findings are summarized in
Males exhibited significantly larger sphenoid sinuses in all dimensions compared to females. The anteroposterior length was 26.01 mm in males versus 22.98 mm in females Lateral width was 33.26 mm in males versus 29.94 mm in females. The overall distribution of lateral width is illustrated in Intercarotid distance was 20.25 mm in males versus 19.42 mm in females A notable discrepancy was found in sphenoid sinus height data, suggesting possible outliers or measurement errors.
Prevalence of anatomical variants
The detailed prevalence data are presented in
Nasal deviated septum: Present in 71.1% of males versus 28.9% of females (P < 0.001) Concha bullosa: More prevalent in females (73.3%) than in males (26.7%) (P = 0.034) Sphenoid Septations: Found in 52.2% of males and 47.8% of females (not significant) Onodi Cells (Sphenoethmoidal Air Cell): Present in 50% of both sexes, with no significant association Pneumatization of the Clinoid Process: Found in 13.7% of cases.
Regression analysis
Regression results for Onodi cells and pneumatization are shown in
The presence of Onodi cells and clinoid pneumatization was significantly associated with altered sphenoid sinus dimensions (P = 0.011 and P = 0.045, respectively) No significant correlation was found between nasal septum deviation, concha bullosa, or sphenoid septations and intercarotid distance or sphenoid sinus dimensions.
DISCUSSION
This study provides valuable insights into anatomical variations in the endonasal transsphenoidal surgical corridor and their relationship with sex and other variables. By analyzing preoperative CT scans, we identified key anatomical differences relevant to surgical planning.
Sphenoid sinus morphology and surgical implications
Sex-based differences were observed in sphenoid sinus dimensions, with males exhibiting larger anteroposterior and lateral lengths. Notably, the mean anteroposterior length was 24.55 mm, significantly exceeding the 17 mm described by Rhoton.[
Nasal variants and surgical approach
Nasal septum deviation was significantly more common in males (71.1% vs. 28.9%, P < 0.001), indicating a higher likelihood of septal deviation in male patients, which may influence the choice of nostril for the surgical approach. Concha bullosa was significantly more prevalent in females (73.3% vs. 26.7%, P = 0.034), suggesting a need for greater preoperative assessment of middle turbinate pneumatization in female patients.
Intercarotid distance and surgical safety
The mean intercarotid distance was 19.85 mm, 3.3 mm above the upper limit of the theoretical range (13.6– 16.5 mm).[
Sphenoid septations and surgical navigation
A positive correlation was observed between sphenoid sinus width and the number of septations, indicating that larger sinuses tend to have more septations. This anatomical complexity may increase the risk of misidentification of key landmarks, reinforcing the importance of intraoperative neuronavigation for accurate anatomical orientation.
Regression analysis and predictive models
While certain variables, such as Onodi cells and clinoid pneumatization, demonstrated significant associations with anatomical dimensions, others did not reach statistical significance. Sex-based distribution and correlation of these dimensions are shown in
CONCLUSION
This study provides a detailed understanding of anatomical variations in the endonasal transsphenoidal corridor and their relationship with key patient characteristics. Significant sex-based differences were identified, emphasizing the need to consider patient sex in surgical planning and instrument selection.
Males exhibited deeper and wider sphenoid sinuses, which may require longer surgical instruments for adequate access. In addition, the prevalence of anatomical anomalies such as nasal septum deviation, bony spurs, and concha bullosa varied by sex, impacting intraoperative decision-making.
A correlation was observed between sphenoid sinus width and the number of septations, which may complicate anatomical orientation and reinforce the importance of neuronavigation. While age appeared to influence sphenoid sinus height, the variability in data suggests that age alone is not a reliable predictor of anatomical dimensions. Logistic regression analysis highlighted associations between certain anatomical features and sphenoid sinus dimensions, though further validation is required to strengthen predictive models.
These findings enhance our understanding of anatomical variability in the transsphenoidal corridor, offering valuable insights for preoperative assessment and surgical strategy. However, further validation studies are necessary to confirm these findings and optimize their clinical applicability.
Ethical approval:
The Institutional Review Board approval is not required, as it is retrospective analysis of anonymized preoperative CT scans without patient identifiers .The project was officially approved under reference code CM-CT-196-2023, dated August 31, 2023.
Declaration of patient consent:
The authors certify that they have obtained all appropriate patient consent.
Financial support and sponsorship:
Nil.
Conflicts of interest:
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Disclaimer
The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Journal or its management. The information contained in this article should not be considered to be medical advice; patients should consult their own physicians for advice as to their specific medical needs.
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