Evaluation of paranasal sinus diseases and its histopathological correlation with computed tomography

---

Original Article

Author Details : Krishnakant Vaghela, Bhaven Shah

Volume : 4, Issue : 1, Year : 2018

Article Page : 11-13

https://doi.org/10.18231/2395-6194.2018.0002

Suggest article by email

Get Permission

---

Abstract

Introduction: Computerized tomography (CT) is considered the gold standard for preoperative evaluation of PNS diseases for appropriate patient selection for functional endoscopic sinus surgery. The present study was aimed to evaluate the spectrum of PNS diseases on CT and correlate their clinical and histopathological findings.
Materials & Methods: After fulfilling the necessary criteria for enrollment, 100 patients with PNS diseases were included in the study. Patients who have failed medical management i.e., prolonged course of broad spectrum antibiotics for 3 weeks and trial of corticosteroid nasal spray, were included in the study. Patients with revision surgery were excluded from the study.
Results: The most common CT diagnosis was found to be chronic sinusitius (57/100), followed by fungal sinusitis (28/100) and lastly 10 cases of nasal polyp. The entire specimens were sent for histopathological examination.
Discussion & Conclusion: CT helps to delineate the anatomy of nose and sinuses, and drainage pathways of sinuses preoperatively. It is helpful in evaluating the site and extent of sinus pathology. Preoperative CT enabled the surgeon to visualize the drainage pathways, anatomical and critical variants in PNSs thus allowing effective management of the patient. However, a potential pitfall was its inability to accurately differentiate in cases of fungal sinusitis and high‑density secretions.

Keywords: CT, Paranasal Sinus, Pathologies, Biopsy, Histopathology.

How to cite : Vaghela K, Shah B, Evaluation of paranasal sinus diseases and its histopathological correlation with computed tomography. J Oral Med Oral Surg Oral Pathol Oral Radiol 2018;4(1):11-13

This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.