Abstract

ABSTRACT A prospective study was conducted on 50 patients at the SGRD Institute of Medical Sciences and Research, Amritsar, suffering from paranasal sinus disease correlating the findings of computed tomography (CT) using Siemens SOMATOM Emotion 6 slice CT machine with diagnostic nasal endoscopy or functional endoscopic sinus surgery (FESS). Infection of the paranasal sinuses is very common. Surgical clearance of these chronically infected sinuses while maintaining their ventilation and drainage is the treatment of choice. To achieve this goal, there should be some diagnostic modality that guides us toward the exact diagnosis and safe intervention. Computed tomography proves to be the most reliable method of preoperative assessment of patients undergoing FESS as it delineates the extent of the disease and defines any anatomical variants and relationship of the sinuses with the surrounding important structures, thus providing a road map for sinus surgery. In our study, most patients were in the 3rd and 4th decades of their life with equal disease incidence in males and females. The most common sinus involved was anterior ethmoid sinus, while sphenoid sinus was the least commonly involved. The most common pattern of inflammation was sinonasal polyposis followed by osteomeatal unit pattern. On correlating CT diagnosis with the final diagnosis, chronic sinusitis had 86% sensitivity and 96.5% specificity. Polyps had sensitivity of 96.15% and specificity of 95.83%. Again for fungal sinusitis, CT had a lower sensitivity of 71.4% and specificity of 93.02%. For diagnosing benign and malignant lesions, CT had 100% sensitivity and specificity, which could be due to the small number of masses evaluated. This study proved that CT is the modality of choice for evaluating and planning the management of symptomatic patients of paranasal sinus pathologies. How to cite this article Rao K. Computed Tomography of Paranasal Sinus Pathologies with Functional Endoscopic Sinus Surgery/Nasal Endoscopy Correlation. Clin Rhinol An Int J 2016;9(1):1-5.

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