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在ECOG-ACRIN EA1151 TMIST试验中进行数字图片合成的质量控制

Aili K Maki¹, Gordon E Mawdsley¹, James G Mainprize¹

¹Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.

Medical physics

|October 13, 2023

概括

图解合成乳房成像查试验 (TMIST) 发现大多数数字乳房图解合成 (DBT) 和数字乳房造影 (DM) 系统的性能一致. 与基线值相对偏差对于质量控制来说比通用指标更有用.

科学领域:

医疗成像医学成像
放射学放射学是一门学科.
乳腺癌查乳腺癌查

背景情况:

断层合成乳腺成像查试验 (TMIST) 是一项随机临床试验,将数字乳腺断层合成 (DBT) 与用于乳腺癌查的数字乳腺造影 (DM) 进行比较.
该研究涉及多家设备供应商和120多个试验场所.

研究的目的:

为了确保TMIST发现的有效性,制定了一项协调的质量控制 (QC) 计划,以监测图像质量和辐射剂量.
由于大量的试验场所,实施了一个集中式的,自动化的质量控制计划.

主要方法:

一个核心物理团队开发了一套最小的QC测试,用于断层合成和乳房图像系统.
每周的质量控制测试包括信号噪声比 (SDNR),文物传播,空间分辨率,技术因素和噪声功率频谱.
每个站点的乳房影像技术人员都会进行测试,并通过"TRIAD"应用程序将图像提交到物理核心.

主要成果:

在5年的时间里,145个站点和411台机器提交了QC数据,用于136,742项查研究.
图莫合成的平均腺体剂量在1.24至1.68mGy之间.
常见的QC不符合问题包括操作员错误,协议偏差,软件更新和维护活动.

结论:

大多数系统都表现出一致的性能.
由于不同的重建算法和过器,通用性能指标不适用于不同的机器类型.
评估与基线值相对偏差是一种更有效的质量控制方法.

关键词:

数字乳房造 mammography 数字乳房造 mammography 数字乳房造 mammography 是一个很好的方法.图像质量图像质量图像质量质量控制质量控制质量控制图莫合成 (tomosynthesis) 是一种体内合成的方法.

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