IR@PKUHSC  > 北京大学第一临床医学院  > 放射治疗科
学科主题临床医学
Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model
Chen, Bin1; Zhang, Yudong2; Song, Xiaojian1,3; Wang, Xiaoying1,2; Zhang, Jue1,4; Fang, Jing1,4
刊名PLOS ONE
2014-08-20
DOI10.1371/journal.pone.0105087
9期:8
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Multidisciplinary Sciences
研究领域[WOS]Science & Technology - Other Topics
关键词[WOS]GLOMERULAR-FILTRATION-RATE ; NEPHROGENIC SYSTEMIC FIBROSIS ; FRACTIONAL VASCULAR VOLUME ; PATLAK PLOT TECHNIQUE ; COMPUTED-TOMOGRAPHY ; MAGNETIC-RESONANCE ; COMPARTMENT MODEL ; GRADIENT-ECHO ; HUMAN KIDNEY ; DCE-MRI
英文摘要

Objective: To establish a simple two-compartment model for glomerular filtration rate (GFR) and renal plasma flow (RPF) estimations by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Materials and

Methods: A total of eight New Zealand white rabbits were included in DCE-MRI. The two-compartment model was modified with the impulse residue function in this study. First, the reliability of GFR measurement of the proposed model was compared with other published models in Monte Carlo simulation at different noise levels. Then, functional parameters were estimated in six healthy rabbits to test the feasibility of the new model. Moreover, in order to investigate its validity of GFR estimation, two rabbits underwent acute ischemia surgical procedure in unilateral kidney before DCE-MRI, and pixel-wise measurements were implemented to detect the cortical GFR alterations between normal and abnormal kidneys.

Results: The lowest variability of GFR and RPF measurements were found in the proposed model in the comparison. Mean GFR was 3.03 +/- 1.1 ml/min and mean RPF was 2.64 +/- 0.5 ml/g/min in normal animals, which were in good agreement with the published values. Moreover, large GFR decline was found in dysfunction kidneys comparing to the contralateral control group.

Conclusion: Results in our study demonstrate that measurement of renal kinetic parameters based on the proposed model is feasible and it has the ability to discriminate GFR changes in healthy and diseased kidneys.

语种英语
WOS记录号WOS:000342687200051
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/51581
Collection北京大学第一临床医学院_放射治疗科
作者单位1.Peking Univ, Coll Engn, Beijing 100871, Peoples R China
2.Peking Univ, Acad Adv Interdisciplinary Studies, Beijing 100871, Peoples R China
3.Peking Univ, Hosp 1, Dept Radiol, Beijing 100871, Peoples R China
4.Chengdu Univ Informat Technol, Dept Elect Engn, Chengdu, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Chen, Bin,Zhang, Yudong,Song, Xiaojian,et al. Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model[J]. PLOS ONE,2014,9(8).
APA Chen, Bin,Zhang, Yudong,Song, Xiaojian,Wang, Xiaoying,Zhang, Jue,&Fang, Jing.(2014).Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model.PLOS ONE,9(8).
MLA Chen, Bin,et al."Quantitative Estimation of Renal Function with Dynamic Contrast-Enhanced MRI Using a Modified Two-Compartment Model".PLOS ONE 9.8(2014).
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