CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2021; 31(02): 265-269
DOI: 10.1055/s-0041-1733814
Original Article

Analysis of Factors Affecting Air Kerma Area Product Obtained during Uterine Artery Embolization Procedures Using Logistic Regression

1  Department of Medical Physics, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
,
Ahmed Almutairi
2  Department of Radiodiagnostic and Medical Imaging, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
,
Murdhi AlHarbi
2  Department of Radiodiagnostic and Medical Imaging, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
,
Khaleel Almutairi
2  Department of Radiodiagnostic and Medical Imaging, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
,
Turky Almutairi
2  Department of Radiodiagnostic and Medical Imaging, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
,
Mousa Bakkari
1  Department of Medical Physics, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
› Author Affiliations
Funding None.

Abstract

Purpose Uterine artery embolization (UAE) is a common interventional radiology procedure used in medicine; the procedure is safe but there is always a concern regarding radiation dose received by the patient. The aim of this study was to use multivariable logistic regression analysis (MLRA) to study a certain number of independent prognostic variables believed to provide an estimate of the likelihood of obtaining a high kerma area product (P KA) at the end of the procedure.

Method Radiation dose indices registered by the angiographic system structured dose report, the total fluoroscopy time (FT), the patient’ body mass index (BMI), the number of images taken during the procedures (IMGS), and the performing physician experience (EXPER) were used to drive a logistic regression model (LRM).

Results The LRM found was: Logit (P KA) = −6.1525 + 0.0416 (FT) + 0.1028 (IMGS) + 0.1675 (BMI) – 0.1012 (EXPER). The prediction accuracy of the LRM was assessed using receiver operating characteristic (ROC) curve; by calculating the area under the curve (AUC), we found AUC = 0.7896, with optimal ROC point of 0.3261, 0.8036.

Conclusion The suggested LRM seems to indicate that patients with higher BMI, have taken longer FT, acquired higher IMGS and the procedure done by a less experienced performing physician is more susceptible to receive a higher P KA at the end. The proposed LRM is useful in predicting the occurrence of higher radiation exposure interventions and can be used in patients’ radiation dose optimization strategies during UAE procedures.



Publication History

Publication Date:
28 July 2021 (online)

© 2021. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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