» Articles » PMID: 38485712

Characterizing Imaging Radiation Risk in a Population of 8918 Patients with Recurrent Imaging for a Better Effective Dose

Overview
Journal Sci Rep
Specialty Science
Date 2024 Mar 15
PMID 38485712
Authors
Affiliations
Soon will be listed here.
Abstract

An updated extension of effective dose was recently introduced, namely relative effective dose ( ), incorporating age and sex factors. In this study we extended application to a population of about 9000 patients who underwent multiple CT imaging exams, and we compared it with other commonly used radiation protection metrics in terms of their correlation with radiation risk. Using Monte Carlo methods, , dose-length-product based effective dose ( ), organ-dose based effective dose ( ), and organ-dose based risk index ( ) were calculated for each patient. Each metric's dependency to was assessed in terms of its sensitivity and specificity. showed the best sensitivity, specificity, and agreement with (R = 0.97); while yielded the lowest specificity and, along with , the lowest sensitivity. Compared to other metrics, provided a closer representation of patient and group risk also incorporating age and sex factors within the established framework of effective dose.

References
1.
Harrison J, Balonov M, Bochud F, Martin C, Menzel H, Ortiz-Lopez P . ICRP Publication 147: Use of Dose Quantities in Radiological Protection. Ann ICRP. 2021; 50(1):9-82. DOI: 10.1177/0146645320911864. View

2.
McCollough C, Bakalyar D, Bostani M, Brady S, Boedeker K, Boone J . Use of Water Equivalent Diameter for Calculating Patient Size and Size-Specific Dose Estimates (SSDE) in CT: The Report of AAPM Task Group 220. AAPM Rep. 2016; 2014:6-23. PMC: 4991550. View

3.
Rehani M, Yang K, Melick E, Heil J, Salat D, Sensakovic W . Patients undergoing recurrent CT scans: assessing the magnitude. Eur Radiol. 2019; 30(4):1828-1836. DOI: 10.1007/s00330-019-06523-y. View

4.
Ria F, DErcole L, Origgi D, Paruccini N, Pierotti L, Rampado O . Statement of the Italian Association of Medical Physics (AIFM) task group on radiation dose monitoring systems. Insights Imaging. 2022; 13(1):23. PMC: 8818083. DOI: 10.1186/s13244-022-01155-1. View

5.
Samei E, Ria F, Tian X, Segars P . A database of 40 patient-based computational models for benchmarking organ dose estimates in CT. Med Phys. 2020; 47(12):6562-6566. DOI: 10.1002/mp.14373. View