Objectives To examine discrepancy rates over multiple annual cycles in reporting by consultant radiologists for the interpretation of acute Computerized Tomography (CT) examinations. Methods A prospective audit with peer review and second reading of acute CT scans was implemented in one radiology department in the UK. A longitudinal audit over 5 years was performed to determine the discrepancy rate of acute and emergency CT scans conducted on weekends. The examinations comprised CT head, thorax, abdomen and pelvis, CT Kidneys, Ureters, and Bladder (CT KUB), and CT angiography scans. Discrepancies were scored as no discrepancy (zero), minor discrepancy (one), moderate discrepancy (two), or significant discrepancy (three). Seventeen consultants took part in the audit as primary reporters and second readers. All consultants were on‐call radiologists, and the allocation of cases was randomized depending on the on‐call rota. Results were reported annually to one consultant radiologist. Results A significant discrepancy rate of 1.2% (p = 0.026) was found for consultant radiologists, interpreting acute CT examinations based on 2951 s read CT scans. Conclusions To the best of our knowledge, this is the first study to establish significant discrepancy rates among consultant radiologists, interpreting acute CT examinations over time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.