Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Labs, Clinical Imaging Physics Group, Departments of Radiology, Duke University Health System, 2424 Erwin Road, Suite 302, Durham, NC, 27710, USA.
Radiology Department, Massachusetts General Hospital, 175 Cambridge Str. Suite 0244, Boston, USA.
Sci Rep. 2024 Mar 14;14(1):6240. doi: 10.1038/s41598-024-56516-1.
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.
最近引入了有效剂量的一个更新扩展,即相对有效剂量( ),其中包含年龄和性别因素。在这项研究中,我们将 的应用扩展到了约 9000 名接受多次 CT 成像检查的患者群体,并根据与辐射风险的相关性,将其与其他常用的辐射防护指标进行了比较。使用蒙特卡罗方法,为每位患者计算了基于剂量长度乘积的有效剂量( )、基于器官剂量的有效剂量( )和基于器官剂量的风险指数( )。根据其敏感性和特异性,评估了每个指标对 的依赖性。 显示出最好的敏感性、特异性和与 的一致性(R = 0.97);而 的特异性最低,与 一起,敏感性最低。与其他指标相比, 提供了更接近患者和群体风险的表示,同时也在有效剂量的既定框架内纳入了年龄和性别因素。