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February 2, 2026Journal of Pharmacy And Bioallied Sciences0 citationsOpen Access

Quantitative Assessment of Ethmoidal Air Cell Variations by Age and Gender Using Cone-Bone Computed Tomography

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MSManishkumar Dinkar SheteDr D Y Patil Dental College & HospitalVDVela D. DesaiRajasthan Dental College and HospitalDPDipak Baliram Patil

Key Points

  • This research aims to assess the variations of ethmoidal air cells and their distribution by age and gender.
  • Conducted a cross-sectional retrospective analysis of 258 CBCT scans
  • Recorded the presence of five ethmoidal variations
  • Involved two radiologists in image assessment with a consensus approach
  • Tested gender distribution statistical significance using the Chi-square test
  • Onodi cells were the most prevalent at 32%
  • Haller cells followed at 17.7%
  • Gender distribution favored males in all variants except uncinate bulla
  • No gender differences achieved statistical significance

Abstract

A BSTRACT Objectives: Ethmoidal air cell variants such as Agger nasi, Haller, Onodi, uncinate, and ethmoid bullae are critical anatomical structures influencing the outcomes of functional endoscopic sinus surgery (FESS). This study evaluated their prevalence and gender-specific distribution in a Sangli, Maharashtra, India, via cone beam computed tomography (CBCT). Materials and Methods: A cross-sectional retrospective analysis of 258 CBCT scans (150 males, 108 females; ages 18–65) was conducted. The presence of five defined ethmoidal variations was recorded (absent/unilateral/bilateral). Two radiologists independently assessed images; disagreements were resolved by consensus. Statistical significance in gender distribution was tested via the Chi-square test ( P 0.05). Conclusions: Onodi and Haller cells exhibit high prevalence, emphasizing the necessity for thorough pre-FESS CBCT evaluation. Despite non-significant gender differences, these variations should be carefully assessed in individual patients. The findings support the role of personalized radiological analysis to reduce surgical risks.

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Cite This Study

Shete et al. (2026) studied this question.

synapsesocial.com/papers/6980ff49c1c9540dea8121e6https://doi.org/10.4103/jpbs.jpbs_1662_25
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