ArticleJournal of medical radiation sciences2021
Identifying predictors of patient radiation dose during uterine artery embolisation.
Article in Journal of medical radiation sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Uterine artery embolisation in symptomatic patients with placenta accreta spectrum disorders.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2026Article
- Possible use of digital variance angiography in uterine fibroid embolization: a retrospective observational study.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Observational
- The role of quality improvement in radiography.Journal of medical radiation sciences · 2021Article
- Identifying predictors of patient radiation dose during uterine artery embolisation.Journal of medical radiation sciences · 2021Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionUterine artery embolisation (UAE) is regarded as a safe and effective treatment for symptomatic uterine fibroids and/or adenomyosis. Dose reduction during UAE is critical for this reproductive-age patient population to minimise the risks of radiation-induced effects. The aim of this study was to identify the predictors of radiation dose which can be controlled and optimised for patients during UAE.
methodsA total of 150 patients between June 2018 and August 2019 were included in this study. Demographic and clinical information such as age, body mass index (BMI), total number of fibroids, total fibroid volume, total uterus volume and dosimetric measurements on Dose Area Product (DAP), Air Kerma (AK) and fluoroscopy time were recorded. Total digital subtraction angiography (DSA), total conventional roadmap (CRM), total last-image hold (LIH) and total fluoroscopy were calculated from the dose report. Multiple linear regression analysis was used to identify the independent predictor variables of total dose (DAP) using a regression model.
resultsTotal DSA, total CRM and total LIH were identified as the determinants of dose for UAE (P < 0.05) and together accounted for 95.2% of the variance.
conclusionsThis study identified the key imaging predictors of dose for UAE. Total DSA, total CRM and total LIH were shown to have a greater impact on the outcome DAP compared to other demographic or dosimetric measurements. Optimisation of these predictors during future UAE procedures can facilitate radiation dose reduction to the pelvis and reproductive organs.
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