Alzahrani Meshal, Broadbent David A, Teh Irvin, Al-Qaisieh Bashar, Johnstone Emily, Speight Richard
Department of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Phys Imaging Radiat Oncol. 2025 Jan 25;33:100707. doi: 10.1016/j.phro.2025.100707. eCollection 2025 Jan.
The use of magnetic resonance imaging (MRI) for radiotherapy (RT) simulation has grown, prompting quality assurance (QA) guidelines by the Institute of Physics and Engineering in Medicine (IPEM) and the American Association of Physicists in Medicine (AAPM). This study compares a novel multimodality anthropomorphic phantom to an American College of Radiology (ACR) phantom for a subset of these MRI-specific QA tests in RT.
A novel 3D-printed multimodality head-and-neck anthropomorphic phantom was compared to an ACR large MRI phantom. IPEM and AAPM-recommended QA tests were conducted, including informatics/connectivity/data transfer, MRI-CT registration, end-to-end QA, and signal-to-noise ratio (SNR)/percentage integral uniformity (PIU) assessments using RT accessories.
Both phantoms were suitable for informatics/connectivity/data transfer. In MRI-CT registration, no errors were found; the ACR phantom offered more quantitative landmarks, while the anthropomorphic phantom provided limited structures. Both phantoms achieved target registration errors (TREs) below 0.97 mm and dice similarity coefficient (DSC) values above 0.9, meeting guidelines. For end-to-end QA, the anthropomorphic phantom facilitated dose measurements of 1.994 Gy versus a calculated 2.01 Gy (-0.8 %). SNR and PIU assessments showed higher values in radiology setups compared to RT setups for both phantoms.
Multimodality anthropomorphic phantoms compatible with dosimetric equipment allow realistic end-to-end QA, unlike the ACR phantom. While the ACR phantom is suitable for informatics and MRI-CT registration, anthropomorphic phantoms better represent clinical scenarios. For comprehensive QA, both ACR and anthropomorphic phantoms are required. Additionally, large field-of-view (FOV) phantoms are crucial for evaluating large FOV MRI distortions.
磁共振成像(MRI)在放射治疗(RT)模拟中的应用日益广泛,促使医学物理与工程学会(IPEM)和美国医学物理学家协会(AAPM)制定了质量保证(QA)指南。本研究针对RT中这些特定MRI的QA测试的一个子集,将一种新型多模态人体模型与美国放射学会(ACR)人体模型进行了比较。
将一种新型3D打印的多模态头颈人体模型与一个ACR大型MRI人体模型进行比较。进行了IPEM和AAPM推荐的QA测试,包括信息学/连接性/数据传输、MRI-CT配准、端到端QA以及使用RT附件进行信噪比(SNR)/百分比积分均匀性(PIU)评估。
两种人体模型都适用于信息学/连接性/数据传输。在MRI-CT配准中,未发现错误;ACR人体模型提供了更多定量标志点,而人体模型提供的结构有限。两种人体模型的目标配准误差(TRE)均低于0.97毫米,骰子相似系数(DSC)值均高于0.9,符合指南要求。对于端到端QA,人体模型测得的剂量为1.994 Gy,而计算剂量为2.01 Gy(-0.8%)。SNR和PIU评估显示,与RT设置相比,两种人体模型在放射学设置中的值更高。
与剂量测定设备兼容的多模态人体模型能够实现逼真的端到端QA,这与ACR人体模型不同。虽然ACR人体模型适用于信息学和MRI-CT配准,但人体模型更能代表临床场景。为了进行全面的QA,ACR和人体模型都需要。此外,大视野(FOV)人体模型对于评估大FOV MRI畸变至关重要。