Literature DB >> 28050473

Evaluation of Sinonasal Diseases by Computed Tomography.

Rashmi Kandukuri1, Suresh Phatak2.   

Abstract

INTRODUCTION: Computed Tomography (CT) plays an important diagnostic role in patients with sinonasal diseases and determines the treatment. The CT images clearly show fine structural architecture of bony anatomy thereby determining various anatomical variation, extent of disease and characterization of various inflammatory, benign and malignant sinonasal diseases. AIM: To evaluate sensitivity and specificity of CT in diagnosis of sinonasal diseases and to characterise the benign and malignant lesions with the help of various CT parameters. Also, to correlate findings of CT with histo-pathological and diagnostic nasal endoscopy/ Functional Endoscopic Sinus Surgery (FESS) findings.
MATERIALS AND METHODS: In this hospital based prospective study 175 patients with symptomatic sinonasal diseases were evaluated by clinical diagnosis and 16 slice Multi Detector Computed Tomography (MDCT). The details of findings of nasal endoscopy, Functional Endoscopic Sinus Surgery (FESS), histopathological examination and fungal culture were collected in all those cases where those investigations were done. All those findings were correlated with CT findings and statistical analysis was done by using Test statistics (sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and accuracy), Chi-Square test and Z-test for single proportions. Software used in the analysis was SPSS 17.0 version and graph pad prism 6.0 version and p < 0.05 was considered as statistically significant.
RESULTS: CT diagnosis had higher sensitivity, specificity, PPV and NPV in diagnosing various sinonasal diseases in comparison to clinical diagnosis. On correlating CT diagnosis with final diagnosis, congenital conditions have 100% sensitivity and specificity. Chronic sinusitis has 98.3% sensitivity and 97.8% specificity. For fungal sinusitis the sensitivity was 60% and specificity was 99.3%. Polyps have sensitivity of 94.4% and specificity of 98.1%. Benign neoplasms have sensitivity of 90.9% and specificity of 99.2%, malignant neoplasms have sensitivity of 94.1% and specificity of 99.3%. The p-value in all instances was <0.05, i.e. <0.0001 indicating the significance of the findings.
CONCLUSION: CT is the modality of choice in imaging the sinonasal region for evaluating various congenital, inflammatory, benign and malignant pathologies and associated complications thereby planning the further management of the patient. CT is the best modality of choice for evaluating the bone erosion or destruction. The potential pitfalls to differentiate on CT are fungal sinusitis and dense secretions.

Entities:  

Keywords:  Diagnostic nasal endoscopy; Functional endoscopic sinus surgery; Sinonasal pathologies

Year:  2016        PMID: 28050473      PMCID: PMC5198426          DOI: 10.7860/JCDR/2016/23197.8826

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  21 in total

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Authors:  Girish M Fatterpekar; Bradley N Delman; Peter M Som
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9.  Magnetic resonance imaging versus computed tomography and different imaging modalities in evaluation of sinonasal neoplasms diagnosed by histopathology.

Authors:  Mohammed A Gomaa; Moustafa S Hammad; Abobakr Abdelmoghny; Ashraf M Elsherif; Heba M Tawfik
Journal:  Clin Med Insights Ear Nose Throat       Date:  2013-06-26

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Authors:  S S Bist; Saurabh Varshney; Vijay Baunthiyal; Sanjeev Bhagat; Anuradha Kusum
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  2 in total

1.  Possibilities of Automated Diagnostics of Odontogenic Sinusitis According to the Computer Tomography Data.

Authors:  Oleg G Avrunin; Yana V Nosova; Ibrahim Younouss Abdelhamid; Sergii V Pavlov; Natalia O Shushliapina; Waldemar Wójcik; Piotr Kisała; Aliya Kalizhanova
Journal:  Sensors (Basel)       Date:  2021-02-08       Impact factor: 3.576

2.  Histopathological analysis of sinonasal lesions associated with chronic rhinosinusitis and comparison with computed tomography diagnoses.

Authors:  Sultan Abdulwadoud Alshoabi; Abdulkhaleq Ayedh Binnuhaid; Moawia Bushra Gameraddin; Kamal Dahhan Alsultan
Journal:  Pak J Med Sci       Date:  2020 Jan-Feb       Impact factor: 1.088

  2 in total

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