Radiological Comparison of X-ray and Computed Tomography in Diagnosing Fungal Sinusitis and Nasal Polyps
DOI:
https://doi.org/10.70749/ijbr.v4i4.3027Keywords:
Radiological Comparison, Diagnosis, Fungal Sinusitis, Nasal Polyps, HRCT, X-ray, Diagnostic Accuracy.Abstract
Introduction: Sinonasal diseases, mainly fungal sinusitis and nasal polyps, are found in a large percentage of chronic rhinosinusitis and have an important impact on patient quality of life. Early management and prevention of complications depend on accurate radiological diagnosis. Plain X-ray of Paranasal Sinuses (PNS) is commonly made more due to availability, being relatively less expensive; the Computed Tomography (CT) provides better anatomic characterization and is the basis of comparison for sino-nasal assessment. Objective: To evaluate radiological comparison of X-Ray and Computed Tomography in diagnosing Fungal Sinusitis and Nasal Polyps. Methodology: The study was a cross-sectional analytical study comprises of 60 patients of both sexes male/female between 12 to70 years suspected with fungal sinusitis or nasal polyp are included. Both X-ray PNS and CT-PNS were performed in all subjects. Results of imaging were correlated with endoscopy and histopathological diagnosis (gold standard). SPSS version 26 was used to measure sensitivity, specificity, PPV, NPV and the diagnostic accuracy. Results: The diagnosis of fungal sinusitis was made in 46.7% patients, and nasal polyps in 36.7%. X-ray had marginal sensitivity (64.3%) and specificity (70.8%), with overall accuracy of 67.5 %. On CT, the sensitivity and specificity were significantly higher (92.9% and 90.9%, respectively) with a diagnostic accuracy of 91.7% (p < 0.001). CT efficiently demonstrated typical signs including heterogeneous opacity, hyper attenuation foci, double-density sign and bone erosion. Conclusion: CT scan is far more accurate than X-ray in the diagnosis of fungal sinusitis and its distinction from nasal polyps. While X-ray might be used as a primary screening modality, CT is the optimal choice for final diagnosis and surgical planning.
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