Computed Tomographic Evaluation of Diseases Affecting Paranasal Sinuses

Journal Title: Scholars Journal of Applied Medical Sciences - Year 2017, Vol 5, Issue 6

Abstract

Abstract: The study was carried out in DVVPF Medical College and Hospital, Ahmednagar during a period of one year. In this study, a total of 50 cases were included, which were referred to our department for signs and symptoms referable to paranasal sinus disease. The main objective of our study is to delineate the various diseases affecting the paranasal sinuses and to study the computed tomographic anatomy and anatomical variations of the paranasal sinuses. After an elaborate discussion with the patient, who wished to take part voluntarily in our study, CT was performed using a GE LIGHTSPEED 16 SLICE SPIRAL CT scanner. A coronal plain 5mm sections were taken and intravenous contrast was injected wherever it was indicated. Out of the 50 patients, 40 were males and 10 were females. Chronic sinusitis (42 cases - 84%) formed the bulk of the cases, followed by tumors (5 cases-10%). The ethmoid sinus (60%) was the most commonly involved sinus followed by OM complex blockage. Chronic sinusitis manifested as mucosal thickening and polyp formation. Maxillary antral carcinoma (60%) was the most common tumor of the neoplasms found in our study. The most common anatomical variation found was deviated nasal septum (68.9%), followed by concha bullosa (46.67%), turbinate hypertrophy (40.0%), Haller cell (33.33%), Onodi cell (11.11%), internal carotid artery impinging on sphenoid sinus 2.2%) and Agger nasi cell (2.22%). CT is the preferred modality for evaluation of paranasal sinuses. It provider excellent map to help the sinus surgeon to operate. CT provides invaluable information to help in the diagnosis of atypical sinus infections, malignancy and in the management ol complications. Keywords:Paranasal sinuses (PNS); Computed Tomography (CT); Osteo meatal unit/complex (OMU)

Authors and Affiliations

Abhijeet Itai, Sushil Kachewar, Dilip Lakhkar, Soniya Daga, Kalyani Jethlia

Keywords

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  • EP ID EP373046
  • DOI -
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How To Cite

Abhijeet Itai, Sushil Kachewar, Dilip Lakhkar, Soniya Daga, Kalyani Jethlia (2017). Computed Tomographic Evaluation of Diseases Affecting Paranasal Sinuses. Scholars Journal of Applied Medical Sciences, 5(6), 2142-2149. https://europub.co.uk/articles/-A-373046