Diagnostic Accuracy of Computed Tomography in Diagnosing Fungal Sinusitis Keeping Histopathology as Gold Standard
DOI:
https://doi.org/10.70749/ijbr.v3i6.2923Keywords:
Fungal Sinusitis, Histopathology, Paranasal Sinuses, Tomography X-Ray Computed.Abstract
Background: Fungal sinusitis is an infection of the paranasal sinuses caused by fungal organisms such as Aspergillus and Mucor. It can lead to serious complications if not diagnosed early. Clinical symptoms are often similar to other chronic sinus diseases, which makes early diagnosis difficult. Objective: To determine the diagnostic accuracy of computed tomography in diagnosing fungal sinusitis while keeping histopathology as the gold standard. Study Design: Cross sectional validation study. Duration and Place of Study: This research was conducted from 10 October 2023 to 10 April 2024 in the Department of Radiology, Liaquat University of Medical and Health Sciences, Jamshoro. Methodology: A total of 206 patients aged 25 to 80 years presenting with headache, nasal obstruction, or nasal discharge for two weeks or more were included. Computed tomography of the paranasal sinuses was performed using a 16 slice scanner with contrast administration. Data were analyzed using Statistical Package for the Social Sciences version 24. Results: The mean age of patients was 53.97 ± 16.33 years. Fungal sinusitis was detected in 64 patients (31.1%) on computed tomography and confirmed in 52 patients (25.2%) on histopathology. Sensitivity was 94.23%, specificity was 90.26%, positive predictive value was 76.56%, negative predictive value was 97.89%, and overall diagnostic accuracy was 91.26%. Conclusion: Computed tomography showed high diagnostic performance for detection of fungal sinusitis and can be considered a useful non invasive imaging method for early evaluation of patients with sinonasal symptoms.
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