Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Incidental detection of sinus mucosal abnormalities on CT and MRI imaging of the head

    195872_104705_QIMS_2013.pdf (462.6Kb)
    Access Status
    Open access
    Authors
    Nazri, M
    Bux, S
    Tengku-Kamalden, T
    Ng, K
    Sun, Zhonghua
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Nazri, Mohammad and Bux, Shaik Ismail and Tengku-Kamalden, Tengku and Ng, Kwan-Hoong and Sun, Zhonghua. 2013. Incidental detection of sinus mucosal abnormalities on CT and MRI imaging of the head. Quantitative Imaging in Medicine and Surgery. 3 (2): pp. 82-88.
    Source Title
    Quantitative Imaging in Medicine and Surgery
    DOI
    10.3978/j.issn.2223-4292.2013.03.06
    ISSN
    2223-4292
    Remarks

    Copyright © 2013 AME Publishing Company

    URI
    http://hdl.handle.net/20.500.11937/20699
    Collection
    • Curtin Research Publications
    Abstract

    Purpose: To investigate the prevalence of incidental sinus abnormalities on CT and MRI imaging of the head, and identify if there is any correlation between patient symptomatology and image findings. Materials and methods: One hundred and fifteen patients who underwent head CT or MRI for non-sinus related indications were included in this study, with image findings being analysed based on the Lund-Mackay Grading System (LMS). These were compared with their symptomatology based on theSNAQ-11 questionnaire. Two reviewers who were blinded to the patients’ SNAQ-11 scores analysed the images. Patients were also referred to an ENT surgeon for anterior rhinoscopy in an attempt to seek a correlation between symptomatology and/or imaging findings against clinical assessment. Results: The prevalence of incidental sinus abnormalities is between 14.8% and 37% for CT and 29.5%and 85.2% for MRI, depending upon the cutoff LMS used. There was no significant difference in the incidence rate between the different age groups or genders. Asymptomatic patients had a significantly lower incidence rate of sinus mucosal abnormalities (8.2-57.1%) when compared to the symptomatic patients (33.3-66.7%) (P<0.01). A significant correlation was found between the MRI sinus findings and patients’ symptoms (r=0.59, P<0.001) with no correlation demonstrated in the CT group. The mean LM score for the patients with clinical sinusitis was 6.2, while the normal patients had a mean LM score of 2.2. Conclusions: MRI is more sensitive than CT to detect sinus mucosal abnormalities. A significant correlation is noticed between MRI findings and patients’ symptomatology.

    Related items

    Showing items related by title, author, creator and subject.

    • A systematic review of chest imaging findings in COVID-19
      Sun, Zhonghua ; Zhang, N.; Li, Y.; Xu, X. (2020)
      Chest computed tomography (CT) is frequently used in diagnosing coronavirus disease 2019 (COVID-19) for detecting abnormal changes in the lungs and monitoring disease progression during the treatment process. Furthermore, ...
    • Computed tomography imaging of patients with headache: Findings and clinical indications
      Sun, Zhonghua; Cao, Y. (2011)
      Purpose: To evaluate the diagnostic application of CT imaging in patients presenting with headache in an outpatient department. Materials and Methods: Medical records from a tertiary teaching hospital were retrospectively ...
    • Use of coronary CT angiography in the diagnosis of patients with suspected coronary artery disease: findings and clinical indications
      Sun, Zhonghua; Liu, Y.; Zhou, D.; Qi, Y. (2012)
      Objective: To investigate the clinical applications of coronary CT angiography in patients with suspected coronary artery disease and identify factors that affect CT findings. Methods: Medical records of patients suspected ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.