Predictors of radiation dose for uterine artery embolisation are angiography system-dependent

Nocum, D; Robinson, J; Halaki, M; Båth, M; Thompson, JD; Thompson, N; Moscova, M; Liang, E; Mekiš, N; Reed, W

Abstract

This study sought to achieve radiation dose reductions for patients receiving uterine artery embolisation (UAE) by evaluating radiation dose measurements for the preceding generation (Allura) and upgraded (Azurion) angiography system. Previous UAE regression models in the literature could not be applied to this centre’s practice due to being based on different angiography systems and radiation dose predictor variables. The aims of this study were to establish whether radiation dose is reduced with the upgraded angiography system and to develop a regression model to determine predictors of radiation dose specific to the upgraded angiography system. A comparison between Group I (Allura, n = 95) and Group II (Azurion, n = 95) demonstrated a significant reduction in KAP (kerma-area product) and Ka, r (reference air kerma) by 63% (143.2 Gy·cm2 vs 52.9 Gy·cm2; P < 0.001, d = 0.8) and 67% (0.6 Gy vs 0.2 Gy; P < 0.001, d = 0.8), respectively. The multivariable linear regression (MLR) model identified the UAE radiation dose predictors for KAP on the upgraded angiography system as total fluoroscopy dose, Ka, r, and total uterus volume. The predictive accuracy of the MLR model was assessed using a Bland-Altman plot. The mean difference was 0.39 Gy·cm2 and the limits of agreement (LoA) were +28.49 and -27.71 Gy·cm2, and thus illustrated no proportional bias. The resultant MLR model was considered system-dependent and validated the upgraded angiography system and its advance capabilities to significantly reduce radiation dose. Interventional radiologist and interventional radiographer familiarisation of the system’s features and the implementation of the newly established MLR model would further facilitate dose optimisation for all centres performing UAE procedures using the upgraded angiography system.

Citation

Nocum, D., Robinson, J., Halaki, M., Båth, M., Thompson, J., Thompson, N., …Reed, W. (2022). Predictors of radiation dose for uterine artery embolisation are angiography system-dependent. Journal of Radiological Protection, 42(1), 011502. https://doi.org/10.1088/1361-6498/ac480b

• Journal Article Type: Article
• Acceptance Date: Jan 4, 2022
• Online Publication Date: Jan 17, 2022
• Publication Date: Mar 1, 2022
• Deposit Date: Jan 6, 2022
• Publicly Available Date: Jan 17, 2023
• Journal: Journal of Radiological Protection
• Print ISSN: 0952-4746
• Electronic ISSN: 1361-6498
• Publisher: IOP Publishing
• Volume: 42
• Issue: 1
• Pages: 011502
• DOI: https://doi.org/10.1088/1361-6498/ac480b
• Publisher URL: https://doi.org/10.1088/1361-6498/ac480b
• Related Public URLs: http://iopscience.iop.org/0952-4746