Correlation analysis of organ doses with dose metrics for patients undergoing organ dose-modulated head CT examinations.

IF 2.9 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Quantitative Imaging in Medicine and Surgery Pub Date : 2025-05-01 Epub Date: 2025-04-28 DOI:10.21037/qims-24-2061
Mengting Wang, Tian Qin, Yihan Fan, Zongyu Xie, Baohui Liang
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Abstract

Background: The rapid advancement of computed tomography (CT) has greatly improved clinical diagnosis but has also introduced new challenges in radiation protection. This study aimed to evaluate the relationship between organ doses from Monte Carlo (MC) simulations and CT dose metrics for head CT exams with organ dose modulation (ODM), and to develop a simplified method for estimating individual organ doses.

Methods: A CT source model including the X-ray energy spectrum, bowtie filter, fan beam shape, and rotational motion of the tube was constructed and validated. The modeling was divided into two different exposure regions based on the ODM technical principles: the 100° range on the anterior side of the skull (tube current reduction region) and the remaining 260° (tube current constant region). The source model was validated by comparing the error between the MC-simulated weighted CT dose index (CTDIw) and the measured CTDIw. A total of 40 patients were retrospectively collected, and each patient's voxelized head models were constructed and used for MC simulation to calculate organ doses. The global volume CTDI (CTDIvol), regional CTDIvol, size-specific dose estimate (SSDE), and organ-specific SSDE were derived based on the exposure (mAs) and water-equivalent diameters of each slice image. Linear regression fitting was used to explore the correlation between organ doses (including the brain, the eyeballs, the eye lens, and the salivary glands) and the four CT dose metrics mentioned above.

Results: Comparison results for CTDIw showed that the simulated source model error was within 5%, and the ODM model's error was below 0.05%. Organ doses correlated strongly with organ-specific SSDE (The R2 between each organ dose and corresponding organ-specific SSDE were 0.92 for the brain, 0.91 for eyeballs, 0.90 for the eye lens, and 0.90 for the salivary gland). Estimation coefficients for estimating organ doses of the brain, eyeballs, eye lens, and salivary glands from organ-specific SSDE were 0.34, 0.59, 0.48, and 0.26, respectively, as a mean across all patients.

Conclusions: There is a strong correlation between organ dose and organ-specific SSDE in ODM head CT examinations. However, activating the ODM results in significant differences in estimation coefficients for head CT exams with a fixed tube current, which provides a practical way to determine organ doses for individual patients undergoing head CT scans.

接受器官剂量调节头部CT检查患者的器官剂量与剂量指标的相关性分析。
背景:计算机断层扫描(CT)的快速发展极大地改善了临床诊断,但也给辐射防护带来了新的挑战。本研究旨在评估蒙特卡罗(MC)模拟的器官剂量与器官剂量调制(ODM)头部CT检查的CT剂量指标之间的关系,并开发一种简化的估计单个器官剂量的方法。方法:建立包括x射线能谱、领结滤波器、扇形光束形状和管的旋转运动在内的CT源模型并进行验证。根据ODM技术原理将建模分为两个不同的暴露区域:颅骨前部100°范围(管电流减少区)和其余260°范围(管电流恒定区)。通过比较mc模拟的加权CT剂量指数(CTDIw)与实测值的误差,对源模型进行了验证。回顾性收集40例患者,构建每个患者的体素化头部模型,用于MC模拟计算器官剂量。基于每个切片图像的暴露(mAs)和水当量直径,导出了全局体积CTDI (CTDIvol)、区域CTDIvol、尺寸特异性剂量估计(SSDE)和器官特异性SSDE。采用线性回归拟合探讨器官剂量(包括脑、眼球、眼晶状体和唾液腺)与上述四种CT剂量指标之间的相关性。结果:CTDIw的对比结果表明,模拟源模型误差在5%以内,ODM模型误差在0.05%以下。器官剂量与器官特异性SSDE密切相关(各器官剂量与相应器官特异性SSDE的R2分别为脑0.92、眼球0.91、眼球晶体0.90、唾液腺0.90)。所有患者的器官特异性SSDE对大脑、眼球、晶状体和唾液腺器官剂量的估计系数分别为0.34、0.59、0.48和0.26。结论:在ODM头部CT检查中,器官剂量与器官特异性SSDE有很强的相关性。然而,激活ODM会导致固定管电流的头部CT检查的估计系数有显著差异,这为接受头部CT扫描的个体患者确定器官剂量提供了一种实用的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Quantitative Imaging in Medicine and Surgery
Quantitative Imaging in Medicine and Surgery Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.20
自引率
17.90%
发文量
252
期刊介绍: Information not localized
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