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Analysis of the main factors affecting quantitative dynamic contrast-enhanced MR imaging
DU Yong-hao  NIU Gang  YANG Jian 

DOI:10.12015/issn.1674-8034.2017.01.019.


[Abstract] DCE-MRI is based on the serial acquisition of the fast T1WI. Through multi-phase contrast enhanced scanning, the time-signal intensity curve of the region-of-interest (ROI) can be acquired. Meanwhile, the quantitative parameters reflecting tissue perfusion and vascular permeability are obtained by selecting the proper pharmacokinetic model. This method has been widely applied in many clinical aspects, including tumor diagnosis, assessment of therapeutic response and prognostic evaluation. In this paper, we conducted a systematic review focused on main factors that may influence DCE-MRI outcomes. These factors include scanning protocol, arterial input functions (AIF), the motion displacement and the pharmacokinetic models. Optimizing these main factors may improve the reproducibility and accuracy of the DCE-MRI results.
[Keywords] Magnetic resonance imaging；Dynamic contrast-enhanced；Quantitative analysis

DU Yong-hao Department of Radiology, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an 710061, China

NIU Gang* Department of Radiology, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an 710061, China

YANG Jian* Department of Radiology, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an 710061, China

*Correspondence to: NIU Gang, E-mail: niugang369@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Supported by the Project of Science and Technology of Social Development in Shaanxi Province.
Received  2016-09-03
Accepted  2016-11-20
DOI: 10.12015/issn.1674-8034.2017.01.019
DOI:10.12015/issn.1674-8034.2017.01.019.

[1]
Tofts PS. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J Magn Reson Imaging, 1997, 7(1): 91-101.
[2]
Jackson A, O'Connor JP, Parker GJ, et al. Imaging tumor vascular heterogeneity and angiogenesis using dynamic contrast-enhanced magnetic resonance imaging. Clin Cancer Res, 2007, 13(12): 3449-3459.
[3]
Zahra MA, Hollingsworth KG, Sala E, et al. Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy. Lancet Oncol, 2007, 8(1): 63-74.
[4]
卢光明．动态对比增强MRI的应用与进展．中华放射学杂志, 2015, 49(6): 406-409.
[5]
Khalifa F, Soliman A, El-Baz A, et al. Models and methods for analyzing DCE-MRI: a review. Med Phys, 2014, 41(12):1-32.
[6]
Studler U, White LM, Andreisek G, et al. Impact of motion on T1 mapping acquired with inversion recovery fast spin echo and rapid spoiled gradient recalled-echo pulse sequences for delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) in volunteers. J Magn Reson Imaging, 2010, 32(2): 394-398.
[7]
Yuan J, Chow SK, Yeung DK, et al. Quantitative evaluation of dual-flip-angle T1 mapping on DCE-MRI kinetic parameter estimation in head and neck. Quant Imaging Med Surg, 2012, 2(4): 245-253.
[8]
Azlan CA, Di Giovanni P, Ahearn TS, et al. B1 transmission-field inhomogeneity and enhancement ratio errors in dynamic contrast-enhanced MRI (DCE-MRI) of the breast at 3 T. J Magn Reson Imaging, 2010, 31(1): 234-239.
[9]
Leach MO, Morgan B, Tofts PS, et al. Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging. Eur Radiol, 2012, 22(7): 1451-1464.
[10]
Larsson C, Kleppestø M, Rasmussen I Jr, et al. Sampling requirements in DCE-MRI based analysis of high grade gliomas: simulations and clinical results. J Magn Reson Imaging, 2013, 37(4): 818-829.
[11]
Sourbron S. Technical aspects of MR perfusion. Eur J Radiol, 2010, 76(3): 304-313.
[12]
Mendichovszky IA, Cutajar M, Gordon I. Gordon. Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study. Eur J Radiol, 2009, 71(3): 576-581.
[13]
Cárdenas-Rodríguez J, Howison CM, Matsunaga TO, et al. A reference agent model for DCE MRI can be used to quantify the relative vascular permeability of two MRI contrast agents. Magn Reson Imaging, 2013, 31(6): 900-910.
[14]
Melbourne A, Hipwell J, Modat M, et al. The effect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI. Phys Med Biol, 2011, 56(24): 7693-7708.
[15]
Merrem AD, Zöllner FG, Reich M, et al. A variational approach to image registration in dynamic contrast-enhanced MRI of the human kidney. Magn Reson Imaging, 2013, 31(5): 771-777.
[16]
Zöllner FG, Sance R, Rogelj P, et al. Assessment of 3D DCE-MRI of the kidneys using non-rigid image registration and segmentation of voxel time courses. Comput Med Imaging Graph, 2009, 33(3): 171-181.
[17]
王珍，邱晓明，徐潇，等. DCE-MRI定量渗透性参数联合ADC值在肺部良恶性病变中鉴别诊断价值．磁共振成像, 2015, 6(8): 585-591.
[18]
沈君．积极开展定量动态增强磁共振成像研究．磁共振成像, 2015, 6(8): 561-565.
[19]
Tofts PS, Brix G, Buckley DL, et al. estimating kinetic parameters from dynamic contrast-enhanced T1-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging, 1999, 10(3):223-232.
[20]
贾龙威，牛蕾，马文帅，等．血流动力学双室模型Extended Tofts Linear在脑胶质瘤DCE-MRI渗透性定量分析的复测性及有效性研究．磁共振成像, 2015, 6(8): 571-574.
[21]
Sourbron SP, Buckley DL. Classic models for dynamic contrast-enhanced MRI. NMR Biomed, 2013, 26(8): 1004-1027.
[22]
Cárdenas-Rodríguez J, Howison CM, Pagel MD. A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution. Magn Reson Imaging, 2013, 31(4): 497-507.
[23]
Lee J, Platt S, Kent M, et al. An analysis of the pharmacokinetic parameter ratios in DCE-MRI using the reference region model. Magn Reson Imaging, 2012, 30(1): 26-35.
[24]
Yankeelov TE, Luci JJ, Lepage M, et al. Quantitative pharmacokinetic analysis of DCE-MRI data without an arterial input function: a reference region model. Magn Reson Imaging, 2005, 23(4): 519-529.
[25]
Koh TS, Bisdas S, Koh DM, et al. Fundamentals of tracer kinetics for dynamic contrast-enhanced MRI. J Magn Reson Imaging, 2011, 34(6): 1262-1276.
[26]
Duan C, Kallehauge JF, Bretthorst GL, et al. Are complex DCE-MRI models supported by clinical data? Magn Reson Med, 2016. DOI: .

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