GBM-DSC-MRI-DRO

The standardization of dynamic susceptibility contrast (DSC)-magnetic resonance imaging (MRI) have been confounded by a lack of consensus on DSC-MRI methodology for preventing potential relative cerebral blood volume (CBV) inaccuracies, including the choice of acquisition protocols and postprocessing algorithms. Therefore, a digital reference object (DRO) was developed using physiological and kinetic parameters derived from a patient database, unique voxel-wise 3-dimensional tissue structures, and a validated MRI signal computational approach. The primary, intended use of the DRO is to validate image acquisition and analysis methods for accurately measuring relative cerebral blood volume in glioblastomas [1,2]. The DRO datasets have also been used as part of the QIN-challenge titled “DSC-DRO Challenge” to evaluate multisite rCBV consistency [3], and for systematic assessment of multi-echo DSC-MRI [4]. References[1] Semmineh NB, Stokes AM, Bell LC, Boxerman JL, Quarles CC. A Population-Based Digital Reference Object (DRO) for Optimizing Dynamic Susceptibility Contrast (DSC)-MRI Methods for Clinical Trials. Tomography 2017;3:41–9. doi:10.18383/j.tom.2016.00286.[2] Semmineh NB, Bell LC, Stokes AM, Hu LS, Boxerman JL, Quarles CC. Optimization of acquisition and analysis methods for clinical dynamic susceptibility contrast MRI using a population-based digital reference object. Am J Neuroradiol 2018. doi:10.3174/ajnr.A5827.[3] Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, et al. Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). Tomogr (Ann Arbor, Mich) 2019. doi:10.18383/j.tom.2018.00041.[4] Stokes AM, Semmineh NB, Nespodzany A, Bell LC, Quarles CC. Systematic assessment of multi-echo dynamic susceptibility contrast MRI using a digital reference object. Magn Reson Med 2020. doi:10.1002/mrm.27914.

动态磁化对比（dynamic susceptibility contrast, DSC）磁共振成像（magnetic resonance imaging, MRI）的标准化工作长期受阻，原因在于针对避免潜在相对脑血容量（relative cerebral blood volume, rCBV）测量误差的DSC-MRI方法学尚未形成统一共识，其中涉及采集方案与后处理算法的选择问题。为此，研究团队基于患者数据库提取的生理学与动力学参数、独特的逐体素三维组织结构，以及经过验证的MRI信号计算方法，开发了一款数字参考对象（digital reference object, DRO）。该DRO的核心预设用途为验证图像采集与分析方法，以实现胶质母细胞瘤（glioblastomas）患者的相对脑血容量精准测量[1,2]。此外，DRO数据集还被纳入题为"DSC-DRO挑战赛"的定量成像网络（Quantitative Imaging Network, QIN）挑战赛，用于评估多中心rCBV一致性[3]，同时也被用于系统评估多回波DSC-MRI技术[4]。参考文献[1] Semmineh NB, Stokes AM, Bell LC, Boxerman JL, Quarles CC. 面向优化临床试验动态磁化对比MRI方法的人群数字化参考对象（DRO）. 《断层成像》2017;3:41–9. doi:10.18383/j.tom.2016.00286.[2] Semmineh NB, Bell LC, Stokes AM, Hu LS, Boxerman JL, Quarles CC. 基于人群数字化参考对象优化临床动态磁化对比MRI的采集与分析方法. 《美国神经放射学杂志》2018. doi:10.3174/ajnr.A5827.[3] Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, et al. 基于数字参考对象（DRO）评估美国国家癌症研究所定量成像网络各站点间DSC-MRI成像方案与后处理软件的多中心rCBV一致性. 《断层成像》（密歇根州安阿伯）2019. doi:10.18383/j.tom.2018.00041.[4] Stokes AM, Semmineh NB, Nespodzany A, Bell LC, Quarles CC. 基于数字参考对象的多回波动态磁化对比MRI系统评估. 《磁共振医学杂志》2020. doi:10.1002/mrm.27914.