Abstract
Background & Objective:Chronic rhino sinusitis (CRS) is an inflammatory condition of the paranasal sinuses and the nasal passage lasting more than three months either with or without sinonasal polyps. This study aimed to report the common sinonasal lesions associated with CRS according to the histopathology results, to compare between clinical and histopathological diagnoses, and to compare between radiological and histopathological diagnoses of the sinonasal lesions.Methods:A retrospective study of the electronic records of 82 patients diagnosed with CRS with nasal polyps. All patients underwent endoscopic sinus surgery and histopathological examination of surgical biopsies.The collected data were analyzed using SPSSprogram. Coparison between clinical and histopathological diagnoses was done. This study was conducted at Alsafwa Consultative Medical center (ACMC) in Almukalla city, Hadhramout province in Republic of Yemen.Results:Out of 82 patients, the ages ranged from 4 to 90 years (mean: 34.48±17.74 years), and 54.88% were females. Inflammatory polyps were the most common lesion (31.4%), then allergic polyps (30.5%). Nasopharyngeal carcinoma (NPC) was reported in 9.8% of the lesions and all were unilateral. The results revealed strong compatibility between clinical and histopathological diagnoses (p<0.001, kappa= 0.215), and significant compatibility between radiological and histopathology diagnoses (p=0.007).Conclusion:Inflammatory and allergic polyps are the most common benign bilateral lesions associated with chronic rhinosinusitis, which can be correctly diagnosed clinically in most cases. Unilateral nasal polyps have high rates of malignancies and should be check carefully by endoscopy and histopathology. Computed tomography has some pitfalls in diagnosing of fungal sinusitis.

Sultan Abdulwadoud Alshoabi, Abdulkhaleq Ayedh Binnuhaid, Moawia Bushra Gameraddin, Kamal Dahhan Alsultan. (2020) Histopathological analysis of sinonasal lesions associated with chronic rhinosinusitis and comparison with computed tomography diagnoses, Pakistan Journal of Medical Sciences, Volume -36, Issue 2.
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