Nasal Endoscopy and Computed Tomography Findings in Patients of Chronic Rhinosinusitis - A Correlation Study
DOI:
https://doi.org/10.62046/gijams.2026.v04i03.005Keywords:
Chronic rhinosinusitis, Diagnostic nasal endoscopy, Computed tomography, Osteomeatal complex, CorrelationAbstract
Background: Chronic rhinosinusitis (CRS) is a common inflammatory condition affecting the nasal cavity and paranasal sinuses, significantly impairing quality of life. Accurate diagnosis is essential for effective management and prevention of complications. Diagnostic nasal endoscopy (DNE) and computed tomography (CT) are essential tools in its evaluation. Correlating findings from these two modalities is crucial for comprehensive evaluation and appropriate treatment planning in patients with CRS.Aim: To correlate computed tomographic findings with endoscopic findings in patients of chronic rhinosinusitis.Materials and Methods: A cross-sectional observational study was conducted on 170 patients diagnosed with CRS. The patients above 15 years fulfilling inclusion criteria were included. Each patient underwent detailed clinical evaluation, diagnostic nasal endoscopy, and CT scan of paranasal sinuses. Data were analyzed using SPSS software, and correlation was assessed using Spearman’s correlation coefficient.Results: Significant correlation was observed between endoscopic and CT findings in mucosal edema, polyps, and middle meatal obstruction (p < 0.05). A statistically significant correlation was found between endoscopic and CT findings for septum (rs=1.000, p=0.01), turbinate hypertrophy, ethmoid bulla, and osteomeatal complex on both sides. A strong correlation was also observed for left osteomeatal complex (rs=0.995, p=0.001). CT scan showed superior detection of anatomical variations and sinus involvement, while endoscopy better identified mucosal changes and secretions.Conclusion: There is a strong and statistically significant correlation between diagnostic nasal endoscopy and CT findings in CRS. Both modalities are complementary, and their combined use provides accurate diagnosis and better management planning.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Dr. Pooja Handique, Dr. Shalini Jadia, Dr. Sadat Qureshi, Dr. Sandeep Sharma (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Greenfort International Journal of Applied Medical Science is published under the Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0) license. This license permits any non-commercial use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and the source.






