{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T01:51:17Z","timestamp":1791597077574,"version":"4.3.4"},"reference-count":89,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:00:00Z","timestamp":1791590400000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Radiation dose monitoring software (DMS) tools are increasingly used to support automated monitoring of radiation dose in medical imaging. This study evaluated the frequency and causes of high-dose events detected by a DMS in computed tomography (CT). All CT examinations performed at one hospital across three CT scanners over a one-year period were retrospectively analysed to establish the frequency and causes of high-dose alerts. Descriptive statistics summarized alert frequency and distribution, and multivariable logistic regression identified factors independently associated with high-dose alerts. Of 11,865 CT examinations, 851 (7%) exceeded predefined dose thresholds. High-dose alerts occurred most frequently in spine (17%), musculoskeletal joint (14%), abdomen\/pelvis (8%), vascular angiography (8%), chest\/lung (5%), and head\/face (4%) examinations. Reasons for high-dose alerts included high body mass index (29%), scan repetition (25%), additional scans (15%), patient malpositioning (12%), excess scan range (11%), and orthopaedic hardware (6%). Multivariable analysis showed that overweight status, scanner model, spine and joint examinations, and patients aged 45\u201374\u00a0years were independently associated with high-dose alert occurrence (P\u00a0&amp;lt;\u00a0.05). DMS is an effective tool that enables imaging facilities to automatically identify high-dose events, facilitating investigation of their causes, protocol review, and identification of opportunities for dose optimisation.<\/jats:p>","DOI":"10.1093\/rpd\/ncag120","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T11:58:45Z","timestamp":1790164725000},"source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of high-dose alerts in computed tomography using an automated dose monitoring system: a retrospective institutional study"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1123-6762","authenticated-orcid":false,"given":"Mohammed","family":"Alanazi","sequence":"first","affiliation":[{"name":"Medical Image Optimisation and Perceptions Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, Susan Wakil Health Building, Camperdown Campus, Western Avenue, The University of Sydney , Camperdown, Sydney, NSW 2006 ,","place":["Australia"]},{"name":"Department of Radiology Sciences, Faculty of Applied Medical Sciences, Majmaah University , Al Hadidah Street, University City District, Al Majmaah 11952 ,","place":["Saudi Arabia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Kench","sequence":"additional","affiliation":[{"name":"Medical Image Optimisation and Perceptions Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, Susan Wakil Health Building, Camperdown Campus, Western Avenue, The University of Sydney , Camperdown, Sydney, NSW 2006 ,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyedamir","family":"Tavakoli-Taba","sequence":"additional","affiliation":[{"name":"Medical Image Optimisation and Perceptions Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, Susan Wakil Health Building, Camperdown Campus, Western Avenue, The University of Sydney , Camperdown, 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