Share：
Share this content in WeChat
X
[Chinese][PDF]67667
• Clinical Article •
Assessment of glomerular filtration rate using diffusion weighted imaging: a comparative study of IVIM and mono-exponential models
YANG He-xia  JIANG Zhen-xing  YU Sheng-nan  DING Jiu-le  CHEN Jie  XING Wei 

DOI:10.12015/issn.1674-8034.2016.09.008.


[Abstract] Objective: To compare the clinical value of intra-voxel incoherent motion (IVIM) with a mono-exponential decay model in the analysis of diffusion weighted imaging for assessing glomerular filtration rate in vivo.Materials and Methods: In this study, 56 participants with albuminuria or persistent micro-albuminuria were included. A parameter of estimated glomerular filtration rate (eGFR) was calculated to classify the participants as having severe glomerular filtration rate injury (sRI, eGFR≤30 ml/min/1.73 m2) or not (non-sRI). A DWI sequence with seven b-factors was performed successfully on each participant. Image analysis was performed by a radiologist to generate diffusion coefficient (Dslow and Dfast) and fraction of fast diffusion (Ffast) in IVIM model, and to generate Dmon in mono-exponential decay model. The regions of interest were curved to cover the renal parenchyma for parameter measurements.Results: The four parameters (Dmon, Dslow, Dfast and Ffast) were (1.961±0.173)×10-3 mm2/s, (1.747±0.153)×10-3 mm2/s, (3.481±0.690)×10-3 mm2/s and (19.000±4.010)%, respectively, in sRI group, and were less than that (2.175±0.165)×10-3 mm2/s, (1.917±0.162)×10-3 mm2/s, (4.210±0.718)×10-3 mm2/s and (23.110±2.809)% in non-sRI group, respectively) in non-sRI (t≥3.793, P<0.05), and were positively related with eGFR (t≥0.356, P<0.05). For differentiating sRI from non-sRI, receiver operating characteristic curve (ROC) analysis indicated no significant difference between the four parameters (Z≤0.482, P>0.05) because the areasunder ROC of Dmon, Dslow, Dfast and Ffast were 0.796, 0.786, 0.773 and 0.806, respectively.Conclusions: The Dmon, a mono-exponential modelparameter with combining micro-perfusion and diffusion information, demonstrates the potential for assessing glomerular filtration rate in vivo.
[Keywords] Kidney；Glomerular filtration rate；Magnetic resonance imaging；Diffusion magnetic resonance imaging

YANG He-xia Department of Radiology, the Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu 213003, China

JIANG Zhen-xing Department of Radiology, the Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu 213003, China

YU Sheng-nan Department of Radiology, the Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu 213003, China

DING Jiu-le Department of Radiology, the Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu 213003, China

CHEN Jie Department of Radiology, the Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu 213003, China

XING Wei* Department of Radiology, the Third Affiliated Hospital of Suzhou University, Changzhou, Jiangsu 213003, China

*Correspondence to: Xing W, E-mail: suzhxingwei@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This study was funded by National Natural Science of China No. 81371513
Received  2016-06-14
Accepted  2016-08-15
DOI: 10.12015/issn.1674-8034.2016.09.008
DOI:10.12015/issn.1674-8034.2016.09.008.

[1]
Koh DM, Collins DJ, Orton MR. Intravoxel incoherentmotion in body diffusion-weighted MRI: reality and challenges. AJR Am J Roentgenol, 2011,196(6): 1351-1361.
[2]
Mannelli L, Nougaret S, Vargas HA, et al. Advances in diffusion-weighted imaging. Radiol Clin North Am, 2015, 53(3): 569-581.
[3]
车树楠，崔晓琳，李静,等. MR扩散加权成像体素内不相干运动模型对于乳腺良恶性病变诊断价值的研究.磁共振成像, 2015,37(7): 506-512.
[4]
张水兴，贾乾君，张忠平,等.基于体素内不相干运动的扩散加权成像对鼻咽癌与炎性增生性疾病的鉴别诊断.中华放射学杂志,2013, 47(7): 617-621.
[5]
Ma YC, Zuo L, Chen JH, et al. Modified glomerular filtration rate estimating equation for Chinese patients with chronic kidney disease. J Am Soc Nephrol, 2006, 17(10): 2937-2944.
[6]
徐学勤，陈克敏，方文强,等. MR扩散加权成像在慢性肾病诊断中的价值分析.临床放射学杂志, 2008, 27(10): 1343-1345.
[7]
李琼，张泉，孙浩然,等.肾脏皮、髓质ADC在慢性肾脏病分期中的应用.中国医学影像技术, 2012, 28(4): 751-755.
[8]
Doblas S, Wagner M, Leitao HS, et al. Determination ofmalignancy and characterization of hepatic tumor typewith diffusion-weighted magnetic resonance imaging: comparison of apparent diffusion coefficient and intravoxelincoherent motion-derived measurements. Invest Radiol, 2013, 48(10): 722-728.
[9]
Yoon JH, Lee JM, Baek JH, et al. Evaluation of hepaticfibrosis using intravoxel incoherent motion in diffusionweightedliver MRI. J Comput Assist Tomogr, 2014, 38(1): 110-116.
[10]
Carbone SF, Gaggioli E, Ricci V, et al. Diffusionweightedmagnetic resonance imaging in the evaluationof renal function: a preliminary study. Radiol Med, 2007, 112(8): 1201-1210.
[11]
Toya R, Naganawa S, Kawai H, et al. Correlationbetween estimated glomerular filtration rate (eGFR) and apparent diffusion coefficient (ADC) values of thekidneys. Magn Reson Med Sci, 2010, 9(2): 59-64.
[12]
Zhao J, Wang ZJ, Liu M, et al. Assessment of renal fibrosisin chronic kidney disease using diffusion-weighted MRI. Clin Radiol, 2014,69(11): 1117-1122.

PREV Imaging features of mass type invasive ductal breast cancer on dynamic MR imaging between different age groups
NEXT The relationship between DKI and pathological features of cervical cancer: a primary study
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn