Mulkern Robert V, Ricci Kelsey I, Vajapeyam Sridhar, Chenevert Thomas L, Malyarenko Dariya I, Kocak Mehmet, Poussaint Tina Young
Department of Radiology, Harvard Medical School, Boston, Massachusetts; Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.
Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.
Acad Radiol. 2015 Mar;22(3):363-9. doi: 10.1016/j.acra.2014.10.006. Epub 2014 Nov 27.
Magnetic resonance diffusion imaging can characterize physiologic characteristics of pediatric brain tumors used to assess therapy response. The purpose of this study was to assess the variability of the apparent diffusion coefficient (ADC) along z-axis of scanners in the multicenter Pediatric Brain Tumor Consortium (PBTC).
Ice-water diffusion phantoms for each PBTC site were distributed with a specific diffusion imaging protocol. The phantom was scanned four successive times to 1) confirm water in the tube reached thermal equilibrium and 2) allow for assessment of intra-examination ADC repeatability. ADC profiles across slice positions for each vendor and institution combination were characterized using linear regression modeling with a quadratic fit.
Eleven sites collected data with a high degree of compliance to the diffusion protocol for each scanner. The mean ADC value at slice position zero for vendor A was 1.123 × 10(-3) mm(2)/s, vendor B was 1.0964 × 10(-3) mm(2)/s, and vendor C was 1.110 × 10(-3) mm(2)/s. The percentage coefficient of variation across all sites was 0.309% (standard deviation = 0.322). The ADC values conformed well to a second-order polynomial along the z-axis, (ie, following a linear model pattern with quadratic fit) for vendor-institution combinations and across vendor-institution combinations as shown in the longitudinal model.
Assessment of the variability of diffusion metrics is essential for establishing the validity of using these quantitative metrics in multicenter trials. The low variability in ADC values across vendors and institutions and validates the use of ADC as a quantitative tumor marker in pediatric multicenter trials.
磁共振扩散成像能够描述小儿脑肿瘤的生理特征,用于评估治疗反应。本研究的目的是评估多中心小儿脑肿瘤协作组(PBTC)中各扫描仪z轴方向上表观扩散系数(ADC)的变异性。
按照特定的扩散成像方案为每个PBTC站点分发冰水扩散体模。对体模进行连续4次扫描,以1)确认管内水达到热平衡,2)评估检查内ADC的可重复性。使用二次拟合的线性回归模型对每个供应商和机构组合的切片位置的ADC剖面图进行特征描述。
11个站点收集的数据高度符合各扫描仪的扩散方案。供应商A在切片位置0处的平均ADC值为1.123×10⁻³mm²/s,供应商B为1.0964×10⁻³mm²/s,供应商C为1.110×10⁻³mm²/s。所有站点的变异系数百分比为0.309%(标准差 = 0.322)。如纵向模型所示,对于供应商 - 机构组合以及跨供应商 - 机构组合,ADC值沿z轴很好地符合二阶多项式(即遵循二次拟合的线性模型模式)。
评估扩散指标的变异性对于在多中心试验中确立使用这些定量指标的有效性至关重要。各供应商和机构间ADC值的低变异性验证了ADC在小儿多中心试验中作为定量肿瘤标志物的应用。