Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Evaluation of high-dose alerts in computed tomography using an automated dose monitoring system: a retrospective institutional study.

Created on 10 Oct 2026

Authors

Mohammed Alanazi, Peter Kench, Seyedamir Tavakoli-Taba, Matthew Russell, Ernest Ekpo

Published in

Radiation protection dosimetry. Oct 09, 2026. Epub Oct 09, 2026.

Abstract

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 45-74 years were independently associated with high-dose alert occurrence (P < .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.

PMID:
42855290
Bibliographic data and abstract were imported from PubMed on 10 Oct 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 7
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement