• Login
    View Item 
    •   Mak IR Home
    • College of Health Sciences (CHS)
    • School of Medicine (Sch. of Med.)
    • School of Medicine (Sch. of Med.) Collections
    • View Item
    •   Mak IR Home
    • College of Health Sciences (CHS)
    • School of Medicine (Sch. of Med.)
    • School of Medicine (Sch. of Med.) Collections
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Correlation of ultrasound thyroid imaging reporting and data system with cytology among patients at Mulago national referral and teaching hospital

    Thumbnail
    View/Open
    masters dissertation (2.487Mb)
    Date
    2022-01-10
    Author
    Isse, Hamdi Mohamed
    Metadata
    Show full item record
    Abstract
    Background: Ultrasonography (US) is noninvasive modality for initial assessment of thyroid nodule. Thyroid Imaging Reporting and Data System (TI-RADS) classify the risk for malignancy has demonstrated good performance in differentiating malignant thyroid nodules. However, the combination of TI-RADS categories and cytology had not been studies extensively. Objective: To correlate Thyroid Imaging Reporting and Data System (TI-RADS) with cytology among patients referred for US guided-FNNA cytology at Mulago hospital. Methodology: This was a descriptive cross-sectional study involving patients who were referred for US guided-FNNA cytology of thyroid nodules at Mulago NRTH. Nodule sonographic appearance was documented and categorized into five TI-RADS levels. For Nodules ≥1cm, FNNA cytology was done. A standardized questionnaire was used to obtain data. Spearman’s correlation coefficient was used to establish correlation between TI-RADS and FNNA cytology findings. The Sensitivity, Specificity, Positive predictive values (PPV), Negative predictive values (NPV), Positive Likelihood ratios (PLR) and Negative likelihood ratios (NLR) was determined by comparing ACR-TIRADS with Bethesda system of thyroid classification as a gold standard. Results; Majority of the participants were females 117/130 (90%). The mean age was 41 years with a standard deviation of 13 years. The majority were solid or almost solid 87(54.7%), shaped wider than tall 154(96.9%), with nodules having smooth margins 37(57.2%), 133(83.7%) hyperechoic or isoechoic and 141(88.7%) having none or large comet tail artifact. TIRADS 3 was the commonest (42.9%). The proportion of malignancy for TIRADS 4, and TIRADS 5 was 73.3% and 85.7%. The correlation between ACR-TIRADS and the Bethesda system of thyroid classification scores was r=0.577 and this was statistically significant (p<0.001). The Sensitivity, Specificity, PPV, NPV, PLR and NLR of ACR-TIRADS to detect malignancy was 94.4% with 95% CI of 0.944, 96.5% with 95% CI of 0.965, 77.3%, 99.3%, 27 and 0.06 respectively. Conclusion and Recommendation: We found that ACR-TIRADS classification is appropriate and non-invasive method for assessing thyroid nodules in routine practice. Also, ACR-TIRADS can safely reduce number of unnecessary FNNA in a significant proportion of benign thyroid lesions. Thyroid nodules classified as TIRADS 3 should be followed routinely. ACR-TIRADS should be standardized as the screening tool in resource limited areas.
    URI
    http://hdl.handle.net/10570/9265
    Collections
    • School of Medicine (Sch. of Med.) Collections

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of Mak IRCommunities & CollectionsTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy TypeThis CollectionTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV