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    Interobserver variability studies in diagnostic imaging: a methodological systematic review.

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    Author
    Quinn, Laura
    Tryposkiadis, Konstantinos
    Deeks, Jon
    De Vet, Henrica C W
    Mallett, Sue
    Mokkink, Lidwine B
    Takwoingi, Yemisi
    Taylor-Phillips, Sian
    Sitch, Alice
    Publication date
    2023-06-29
    Subject
    Radiology
    
    Metadata
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    Abstract
    Seventy-nine full-text studies were included covering various imaging tests and clinical areas. The median number of patients was 47 (IQR:23-88), and observers were 4 (IQR:2-7), with sample size justified in 12 (15%) studies. Most studies used static images (n = 75, 95%), where all observers interpreted images for all patients (n = 67, 85%). Intraclass correlation coefficients (ICC) (n = 41, 52%), Kappa (κ) statistics (n = 31, 39%) and percentage agreement (n = 15, 19%) were most commonly used. Interpretation of variability estimates often did not correspond with study conclusions. The COSMIN risk of bias tool gave a very good/adequate rating for 52 studies (66%) including any studies that used variability measures listed in the tool. For studies using static images, some study design standards were not applicable and did not contribute to the overall rating.
    Citation
    Quinn L, Tryposkiadis K, Deeks J, De Vet HCW, Mallett S, Mokkink LB, Takwoingi Y, Taylor-Phillips S, Sitch A. Interobserver variability studies in diagnostic imaging: a methodological systematic review. Br J Radiol. 2023 Aug;96(1148):20220972. doi: 10.1259/bjr.20220972. Epub 2023 Jun 29. PMID: 37399082; PMCID: PMC10392644.
    Type
    Article
    Handle
    http://hdl.handle.net/20.500.14200/2293
    Additional Links
    http://www.birpublications.org/toc/bjr/current
    DOI
    10.1259/bjr.20220972
    PMID
    37399082
    Journal
    British Journal of Radiology
    Publisher
    Oxford University Press
    ae974a485f413a2113503eed53cd6c53
    10.1259/bjr.20220972
    Scopus Count
    Collections
    Radiology

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