Anatomical variations of the frontal sinus drainage pathway according to the IFAC classification: frequency and interobserver agreement in a Paraguayan population

Anatomical variations of the frontal sinus drainage pathway according to the IFAC classification: frequency and interobserver agreement in a Paraguayan population

Main Article Content

Rodrigo González
Juan Santacruz
Enrique Pérez Girala
Carlos Mena Canata

Abstract

Objective: To determine the frequency of anatomical variations of the frontal sinus drainage pathway (FSDP) according to the International Frontal Sinus Anatomy Classification (IFAC) and to assess interobserver agreement in a Paraguayan population.


Methods: An observational, descriptive, analytical, cross-sectional study was conducted in 203 patients (406 FSDPs) with paranasal sinus computed tomography. Two otolaryngologists independently classified frontal-ethmoidal cells following the IFAC system. Frequencies, 95 % confidence intervals (CI95 %), and interobserver agreement were analyzed using Cohen’s κ, PABAK, and Gwet’s AC1, with clustering adjustment for paired sides per patient.


Results: Mean age was 37.3 ± 16.3 years; 54.7 % were female. The most frequent cells were agger nasi (95.1 %), suprabullar (85.2 %), and supra-agger nasi (50.3 %). Less frequent variants included frontal suprabullar (18.7 %) and frontal supra-agger nasi (17.5 %). No significant differences were found by sex, age group, or laterality (p > 0.05). Overall interobserver agreement was moderate-to-good (κ = 0.693; 95 % CI 0.64–0.74), with high consistency confirmed by PABAK (0.74) and Gwet’s AC1 (0.77).


Conclusion: The most frequently identified anatomical variations of the frontal sinus drainage pathway according to the IFAC classification were the agger nasi cell (95.1%), the suprabullar cell (85.2%), and the supra-agger nasi cell (50.3%). Application of the IFAC classification demonstrated moderate to good interobserver agreement (κ = 0.693), confirmed by the PABAK and AC1 indices, supporting its reproducibility and usefulness for anatomical assessment of the frontal recess in clinical practice and endoscopic surgical planning.

References

Bent JP, Cuilty-Siller C, Kuhn FA. The frontal sinus ostium: anatomical subdivisions. Otolaryngology–Head and Neck Surgery. 1994;110(3):323–9. doi:10.1177/019459989411000321

Wormald PJ. Surgery of the frontal recess and frontal sinus. Rhinology. 2005;43(2):82–5.

Keros P. Über die praktische Bedeutung der Niveauunterschiede der Lamina cribrosa des Ethmoids. Zeitschrift für Laryngologie Rhinologie Otologie. 1962;809–13.

Stammberger HR, Kennedy DW. Paranasal sinuses: anatomic terminology and nomenclature. Annals of Otology, Rhinology & Laryngology Supplement. 1995. DOI: 10.1177/000348949510410s01

Wormald PJ, Hoseman W, Callejas C. The International Frontal Sinus Anatomy Classification (IFAC). Int Forum Allergy Rhinol. 2016;6(7):677–96. doi:10.1002/alr.21738 DOI: 10.1002/alr.21738

Dantas EMS, Macedo TL. Anatomical variations of the frontal sinus drainage pathway according to the IFAC. Braz J Otorhinolaryngol. 2023. doi:10.1016/j.bjorl.2022.10.007 DOI: 10.1016/j.bjorl.2022.10.007

Wormald PJ. Endoscopic Sinus Surgery: Anatomy, Three-Dimensional Reconstruction, and Surgical Technique. Thieme; 2017. DOI: 10.1055/b-0038-149997

Mafee MF. Preoperative imaging of the paranasal sinuses. Role of CT and MRI. Otolaryngol Clin North Am. 1993;26(4):535–59.

Ting JY, Wu A, Metson R. Frontal Sinus Cell Prevalence by Computed Tomography Analysis. Otolaryngology–Head and Neck Surgery. 2017;156(2):312–9. doi:10.1177/0194599816676458

Villarreal-Guerra AJ. Interobserver Reliability of Kuhn vs. IFAC Classification in Paranasal Sinus Computed Tomography. Int Arch Otorhinolaryngol. 2019. doi:10.1055/s-0039-1694042 DOI: 10.1055/s-0039-1694042

Mena Canata C. Variantes anatómicas rinosinusales más frecuentes identificadas por tomografía computarizada. Anales de la Facultad de Ciencias Médicas (Asunción). 2013.

Instituto Nacional de Estadística (INE). https://www.ine.gov.py/. 2023. Paraguay. Censo Nacional de Población y Viviendas 2022: Resultados Finales.

Hulley SB, Cummings SR. Designing Clinical Research. Lippincott Williams & Wilkins; 2013.

Fagerland MW, Lydersen S, Laake P. The McNemar test for binary matched-pairs data. BMC Med Res Methodol. 2013. doi:10.1186/1471-2288-13-91 DOI: 10.1186/1471-2288-13-91

Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13–22. DOI: 10.1093/biomet/73.1.13

Watson PF, Petrie A. Method agreement analysis: A review of correct methodology. Veterinary Journal. 2010;184(2):127–32. doi:10.1016/j.tvjl.2010.01.003 DOI: 10.1016/j.tvjl.2010.01.003

Byrt T, Bishop J, Carlin JB. Bias, prevalence and kappa. J Clin Epidemiol. 1993;46(5):423–9. doi:10.1016/0895-4356(93)90018-v DOI: 10.1016/0895-4356(93)90018-V

Gwet KL. Computing inter-rater reliability and its variance in the presence of high agreement. British Journal of Mathematical and Statistical Psychology. 2008. doi:10.1348/000711006X126600 DOI: 10.1348/000711006X126600

von Elm E, Altman DG, Egger M. The STROBE statement: guidelines for reporting observational studies. International Journal of Surgery. 2014. doi:10.1016/j.ijsu.2014.07.013 DOI: 10.1016/j.ijsu.2014.07.013

Bravo-Gutiérrez A, Low-López N, Revilla-Rodríguez E. Anatomía del complejo etmoidal frontal en población mexicana según la clasificación IFAC. Anales de Otorrinolaringología Mexicana. 2021.

Ulloque-Caamaño L, Reyes-Guevara R. Variaciones anatómicas del receso frontal: evaluación tomográfica mediante la clasificación IFAC en una población colombiana. Revista de la Facultad de Medicina. 2020. doi:10.15446/revfacmed.v68n4.79584

Sabido-Bollain C. Prevalencia de celdas frontoetmoidales según la clasificación IFAC en pacientes con rinosinusitis crónica. Anales de Otorrinolaringología Mexicana. 2018.