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儿童脑肿瘤协作组使用冰水模体对表观扩散系数z轴变化进行的多中心评估。

Pediatric brain tumor consortium multisite assessment of apparent diffusion coefficient z-axis variation assessed with an ice-water phantom.

作者信息

Mulkern Robert V, Ricci Kelsey I, Vajapeyam Sridhar, Chenevert Thomas L, Malyarenko Dariya I, Kocak Mehmet, Poussaint Tina Young

机构信息

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.

出版信息

Acad Radiol. 2015 Mar;22(3):363-9. doi: 10.1016/j.acra.2014.10.006. Epub 2014 Nov 27.

DOI:10.1016/j.acra.2014.10.006
PMID:25435183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4323850/
Abstract

RATIONALE AND OBJECTIVES

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).

MATERIALS AND METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

原理与目的

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。

材料与方法

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。

结果

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)。

结论

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。

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1
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Magn Reson Med. 2014 Mar;71(3):1312-23. doi: 10.1002/mrm.24773.
2
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J Magn Reson Imaging. 2013 May;37(5):1238-46. doi: 10.1002/jmri.23825. Epub 2012 Sep 28.
3
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梯度特征的长期稳定性保证了基于模型的扩散加权偏倚校正。
Tomography. 2022 Feb 4;8(1):364-375. doi: 10.3390/tomography8010030.
4
Empirical validation of gradient field models for an accurate ADC measured on clinical 3T MR systems in body oncologic applications.梯度场模型在体部肿瘤临床 3TMR 系统上精确 ADC 测量中的实证验证。
Phys Med. 2021 Jun;86:113-120. doi: 10.1016/j.ejmp.2021.05.030. Epub 2021 Jun 6.
5
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Tomography. 2019 Mar;5(1):36-43. doi: 10.18383/j.tom.2018.00030.
6
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Tomography. 2019 Mar;5(1):7-14. doi: 10.18383/j.tom.2018.00049.
7
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J Magn Reson Imaging. 2019 Jun;49(7):e101-e121. doi: 10.1002/jmri.26518. Epub 2018 Nov 19.
8
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9
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5
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6
Establishment and results of a magnetic resonance quality assurance program for the pediatric brain tumor consortium.儿童脑肿瘤联盟磁共振质量保证计划的建立与结果
Acad Radiol. 2008 Sep;15(9):1099-110. doi: 10.1016/j.acra.2008.04.004.
7
The Neuroimaging Center of the Pediatric Brain Tumor Consortium-collaborative neuroimaging in pediatric brain tumor research: a work in progress.儿童脑肿瘤联盟神经影像中心——儿童脑肿瘤研究中的协作神经影像:一项正在进行的工作。
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9
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10
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AJR Am J Roentgenol. 2001 Aug;177(2):449-54. doi: 10.2214/ajr.177.2.1770449.