Are complex DCE-MRI models supported by clinical data?
Are complex DCE-MRI models supported by clinical data?
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DOI：
10.1002/mrm.26189
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发表时间：
2017-03
影响因子：
3.3
通讯作者：
Garbow JR
中科院分区：
文献类型：
--
作者：
Duan C;Kallehauge JF;Bretthorst GL;Tanderup K;Ackerman JJ;Garbow JR
确定复杂的DCE-MRI示踪剂动力学模型是否得到临床采集数据的支持，并确定有限对比度噪声的后果。检查了具有普遍代表性的计算机模拟和临床（宫颈癌）DCE-MRI数据。贝叶斯模型选择评价了对四个房室DCE-MRI模型的支持：Tofts模型（TM）、扩展Tofts模型（ETM）、房室组织摄取模型（CTUM）和双房室交换模型（2CXM）。复杂的DCE-MRI模型比简单的模型在模型选择和参数估计方面对噪声更敏感。事实上，随着噪声对比度的降低，复杂的DCE模型变得不太可能，而更简单的模型变得更可能。不太复杂的TM和CTUM是在临床上获得的DCE-MRI数据的最佳模型。[In放疗后Ktranss、Fp和PS增加（分别为P = 0.004、0.002和0.014）]。当考虑将复杂的DCE-MRI动力学模型应用于临床采集的数据时，建议谨慎。因此，数据驱动的模型选择是DCE-MRI分析的重要前提。当考虑高阶多参数模型时，模型选择尤为重要。（从宫颈癌临床DCE-MRI数据的动力学建模中获得的参数显示，在放射治疗的早期阶段发生了显著变化。
To ascertain whether complex DCE-MRI tracer kinetic models are supported by data acquired in the clinic and to determine the consequences of limited contrast-to-noise. Generically representative in silico and clinical (cervical cancer) DCE-MRI data were examined. Bayesian model selection evaluated support for four compartmental DCE-MRI models: the Tofts model (TM), Extended Tofts model (ETM), Compartmental Tissue Uptake model (CTUM), and Two-Compartment Exchange model (2CXM). Complex DCE-MRI models were more sensitive to noise than simpler models with respect to both model selection and parameter estimation. Indeed, as contrast-to-noise decreased, complex DCE models became less probable and simpler models more probable. The less complex TM and CTUM were the optimal models for the DCE-MRI data acquired in the clinic. [In cervical tumors, Ktrans, Fp, and PS increased after radiotherapy (P = 0.004, 0.002, and 0.014, respectively)]. Caution is advised when considering application of complex DCE-MRI kinetic models to data acquired in the clinic. It follows that data-driven model selection is an important prerequisite to DCE-MRI analysis. Model selection is particularly important when high-order, multi-parametric models are under consideration. (Parameters obtained from kinetic modelling of cervical cancer clinical DCE-MRI data showed significant changes at an early stage of radiotherapy.)
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DOI：
10.1002/jmri.24469
发表时间：
2014-11
期刊：
Journal of magnetic resonance imaging : JMRI
影响因子：
--
作者：
Chwang WB;Jain R;Bagher-Ebadian H;Nejad-Davarani SP;Iskander AS;VanSlooten A;Schultz L;Arbab AS;Ewing JR
通讯作者：
Ewing JR
影响因子：
2.5
作者：
Li, Xin;Huang, Wei;Rooney, William D.
通讯作者：
Rooney, William D.
影响因子：
3.3
作者：
Buckley, David L.;Kershaw, Lucy E.;Stanisz, Greg J.
通讯作者：
Stanisz, Greg J.
影响因子：
3.3
作者：
Donaldson, Stephanie B.;West, Catharine M. L.;Buckley, David L.
通讯作者：
Buckley, David L.
影响因子：
9.6
作者：
George, ML;Dzik-Jurasz, ASK;Swift, RI
通讯作者：
Swift, RI