CME Article
Renal Functional MRI and Its Application
Jia-Ying Zhou MS,
Yuan-Cheng Wang MD,
Chu-Hui Zeng MS,
Sheng-Hong Ju PhD,
Jia-Ying Zhou MS
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Search for more papers by this authorYuan-Cheng Wang MD
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Search for more papers by this authorChu-Hui Zeng MS
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Search for more papers by this authorCorresponding Author
Sheng-Hong Ju PhD
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Address reprint requests to: S.J., Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, 87 Ding Jia Qiao Road, Nanjing 210009, China. E-mail: [email protected]Search for more papers by this authorJia-Ying Zhou MS,
Yuan-Cheng Wang MD,
Chu-Hui Zeng MS,
Sheng-Hong Ju PhD,
Jia-Ying Zhou MS
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Search for more papers by this authorYuan-Cheng Wang MD
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Search for more papers by this authorChu-Hui Zeng MS
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Search for more papers by this authorCorresponding Author
Sheng-Hong Ju PhD
Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Address reprint requests to: S.J., Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, 87 Ding Jia Qiao Road, Nanjing 210009, China. E-mail: [email protected]Search for more papers by this authorAbstract
Renal function varies according to the nature and stage of diseases. Renal functional magnetic resonance imaging (fMRI), a technique considered superior to the most common method used to estimate the glomerular filtration rate, allows for noninvasive, accurate measurements of renal structures and functions in both animals and humans. It has become increasingly prevalent in research and clinical applications. In recent years, renal fMRI has developed rapidly with progress in MRI hardware and emerging postprocessing algorithms. Function-related imaging markers can be acquired via renal fMRI, encompassing water molecular diffusion, perfusion, and oxygenation. This review focuses on the progression and challenges of the main renal fMRI methods, including dynamic contrast-enhanced MRI, blood oxygen level-dependent MRI, diffusion-weighted imaging, diffusion tensor imaging, arterial spin labeling, fat fraction imaging, and their recent clinical applications.
Level of Evidence: 5
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2018;48:863–881.
References
- 1 Bucaloiu ID, Kirchner HL, Norfolk ER, Hartle JE, Perkins RM. Increased risk of death and de novo chronic kidney disease following reversible acute kidney injury. Kidney Int 2012; 81: 477–485.
- 2 Mullins LJ, Conway BR, Menzies RI, Denby L, Mullins JJ. Renal disease pathophysiology and treatment: contributions from the rat. Disease Models & Mechanisms 2016; 9: 1419–1433.
- 3 Fani F, Regolisti G, Delsante M, et al. Recent advances in the pathogenetic mechanisms of sepsis-associated acute kidney injury. J Nephrol 2017 [Epub ahead of print].
- 4 Sigrist RMS, Liau J, El Kaffas A, Chammas MC, Willmann JK, Willmann JK. Ultrasound elastography: review of techniques and clinical applications. Theranostics 2017; 7: 1303–1329.
- 5 McDonald JS, McDonald RJ, Carter RE, Katzberg RW, Kallmes DF, Williamson EE. Risk of intravenous contrast material-mediated acute kidney injury: a propensity score-matched study stratified by baseline-estimated glomerular filtration rate. Radiology 2014; 271: 65–73.
- 6 Krishnan N, Perazella MA. The role of PET scanning in the evaluation of patients with kidney disease. Adv Chron Kidney Dis 2017; 24: 154–161.
- 7 Becker AS, Rossi C. Renal arterial spin labeling magnetic resonance imaging. Nephron 2017; 135: 1–5.
- 8 Wu W, Miller KL. Image formation in diffusion MRI: A review of recent technical developments. J Magn Reson Imaging 2017; 45: 1–17.
- 9 Pruijm M, Milani B, Burnier M. Blood oxygenation level-dependent MRI to assess renal oxygenation in renal diseases: Progresses and challenges. Front Physiol 2017; 7: 1–7.
- 10 Grenier N, Merville P, Combe C. Radiologic imaging of the renal parenchyma structure and function. Nat Rev Nephrol 2016; 12: 348–359.
- 11 Ebrahimi B, Textor SC, Lerman LO. Renal relevant radiology: renal functional magnetic resonance imaging. Clin J Am Soc Nephrol 2014; 9: 395–405.
- 12 Bex A, Fournier L, Lassau N, et al. Assessing the response to targeted therapies in renal cell carcinoma: Technical insights and practical considerations. Eur Urol 2014; 65: 766–777.
- 13 Han SH, Cho HJ. Temporal resolution improvement of calibration-free dynamic contrast-enhanced MRI with compressed sensing optimized turbo spin echo: The effects of replacing turbo factor with compressed sensing accelerations. J Magn Reson Imaging 2016; 44: 138–147.
- 14 Zeng M, Cheng Y, Zhao B. Measurement of single-kidney glomerular filtration function from magnetic resonance perfusion renography. Eur J Radiol 2015; 84: 1419–1423.
- 15 Attenberger UI, Sourbron SP, Michaely HJ, Reiser MF, Schoenberg SO. Retrospective respiratory triggering renal perfusion MRI. Acta Radiol 2010; 51: 1163–1171.
- 16 Riffel P, Zoellner FG, Budjan J, et al. Free-breathing dynamic contrast-enhanced magnetic resonance imaging of the kidney using iterative reconstruction and continuous golden-angle radial sampling. Invest Radiol 2016; 51: 714–719.
- 17 Hanson E, Eikefjord E, Rørvik J, Andersen E, Lundervold A, Hodneland E. Workflow sensitivity of post-processing methods in renal DCE-MRI. Magn Reson Imaging 2017; 42: 60–68.
- 18 Yang X, Le Minh H, Cheng KTT, Sung KH, Liu W. Renal compartment segmentation in DCE-MRI images. Med Image Anal 2016; 32: 269–280.
- 19 Hodneland E, Hanson EA, Lundervold A, Modersitzki J, Eikefjord E, Munthe-Kaas AZ. Segmentation-driven image registration-application to 4D DCE-MRI recordings of the moving kidneys. IEEE Trans Image Proc 2014; 23: 2392–2404.
- 20 Yang X, Ghafourian P, Sharma P, Salman K, Martin D, Fei B. Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images. Proc SPIE 2012; 8314: 83140B.
- 21 Braunagel M, Radler E, Ingrisch M, et al. Dynamic contrast-enhanced magnetic resonance imaging measurements in renal cell carcinoma: effect of region of interest size and positioning on interobserver and intraobserver variability. Invest Radiol 2015; 50: 57–66.
- 22 Khalifa F, Soliman A, El-Baz A, et al. Models and methods for analyzing DCE-MRI: A review. Med Phys 2014; 41: 124301.
- 23 Hahn OM, Yang C, Medved M, et al. Dynamic contrast-enhanced magnetic resonance imaging pharmacodynamic biomarker study of sorafenib in metastatic renal carcinoma. J Cl Oncol 2008; 26: 4572–4578.
- 24 Sourbron SP, Michaely HJ, Reiser MF, Schoenberg SO. MRI-measurement of perfusion and glomerular filtration in the human kidney with a separable compartment model. Invest Radiol 2008; 43: 40–48.
- 25 Shi L, Wang D, Liu W, et al. Automatic detection of arterial input function in dynamic contrast enhanced MRI based on affinity propagation clustering. J Magn Reson Imaging 2014; 39: 1327–1337.
- 26 Kratochvila J, Jirik R, Bartos M, Standara M, Starcuk Z, Taxt T. Distributed capillary adiabatic tissue homogeneity model in parametric multi-channel blind AIF estimation using DCE-MRI. Magn Reson Med 2016; 75: 1355–1365.
- 27 Cheng HLM, Haedicke IE, Cheng W, Nofiele JT, Zhang XA. Gadolinium-free T1 contrast agents for MRI: Tunable pharmacokinetics of a new class of manganese porphyrins. J Magn Reson Imaging 2014; 40: 1474–1480.
- 28 Notohamiprodjo M, Pedersen M, Glaser C, et al. Comparison of Gd-DTPA and Gd-BOPTA for studying renal perfusion and filtration. J Magn Reson Imaging 2011; 34: 595–607.
- 29 Egger C, Cannet C, Gérard C, et al. Adriamycin-induced nephropathy in rats: Functional and cellular effects characterized by MRI. J Magn Reson Imaging 2015; 41: 829–840.
- 30 Xie L, Layton AT, Wang N, et al. Dynamic contrast-enhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function. Am J Physiol Renal Physiol 2016; 310: F174–F182.
- 31 Prasad PV, Edelman RR, Epstein FH. Noninvasive evaluation of intrarenal oxygenation with BOLD MRI. Circulation 1996; 94: 3271–3275.
- 32 Chang D, Wang Y, Cai Y, Wang L. Noninvasive identification of renal hypoxia in experimental myocardial infarctions of different sizes by using BOLD MR imaging in a mouse model 1. Radiology 2017; 286: 1–11.
- 33 Prasad PV. Functional MRI of the kidney: tools for translational studies of pathophysiology of renal disease. AJP Renal Physiol 2006; 290: F958–F974.
- 34 Niendorf T, Pohlmann A, Arakelyan K, et al. How bold is blood oxygenation level-dependent (BOLD) magnetic resonance imaging of the kidney? Opportunities, challenges and future directions. Acta Physiol 2015; 213: 19–38.
- 35 Edwards A, Silldforff EP, Pallone TL. The renal medullary microcirculation. Front Biosci 2000; 5: E36–52.
- 36 Pruijm M, Hofmann L, Maillard M, et al. Effect of sodium loading/depletion on renal oxygenation in young normotensive and hypertensive men. Hypertension 2010; 55: 1116–1122.
- 37 Chandarana H, Lee VS. Renal functional MRI: Are we ready for clinical application? Am J Roentgenol 2009; 192: 1550–1557.
- 38 Rossi C, Sharma P, Pazahr S, Alkadhi H, Nanz D, Boss A. Blood oxygen level dependent magnetic resonance imaging of the kidneys relaxation rate of renal tissue. Invest Radiol 2013; 48: 671–677.
- 39 Pohlmann A, Arakelyan K, Hentschel J, et al. Detailing the relation between renal T2* and renal tissue pO2 using an integrated approach of parametric magnetic resonance imaging and invasive physiological measurements. Invest Radiol 2014; 49: 547–560.
- 40 Thacker J, Zhang JL, Franklin T, Prasad P. BOLD quantified renal pO2 is sensitive to pharmacological challenges in rats. Magn Reson Med 2016; 75: 1–6.
- 41 Piskunowicz M, Hofmann L, Zuercher E, et al. A new technique with high reproducibility to estimate renal oxygenation using BOLD-MRI in chronic kidney disease. Magn Reson Imaging 2015; 33: 253–261.
- 42 Milani B, Ansaloni A, Sousa-Guimaraes S, et al. Reduction of cortical oxygenation in chronic kidney disease: evidence obtained with a new analysis method of blood oxygenation level-dependent magnetic resonance imaging. Nephrol Dial Transpl 2016; 32: 2097–2105.
- 43 Saad A, Crane J, Glockner JF, et al. Human renovascular disease: estimating fractional tissue hypoxia to analyze blood oxygen level-dependent MR. Radiology 2013; 268: 770–778.
- 44 Friedli I, Crowe LA, Berchtold L, et al. New magnetic resonance imaging index for renal fibrosis assessment: a comparison between diffusion-weighted imaging and T1 mapping with histological validation. Sci Rep 2016; 6.
- 45 Ebrahimi B, Saad A, Jiang K, et al. Renal adiposity confounds quantitative assessment of markers of renal diffusion with MRI. Invest Radiol 2017; 51: 1.
- 46 Jin N, Deng J, Zhang L, et al. Targeted single-shot methods for diffusion-weighted imaging in the kidneys. J Magn Reson Imaging 2011; 33: 1517–1525.
- 47 Friedli I, Crowe LA, de Perrot T, et al. Comparison of readout-segmented and conventional single-shot for echo-planar diffusion-weighted imaging in the assessment of kidney interstitial fibrosis. J Magn Reson Imaging 2017; 46: 1631–1640.
- 48 Kenkel D, Barth BK, Piccirelli M, et al. Simultaneous multislice diffusion-weighted imaging of the kidney: a systematic analysis of image quality. Invest Radiol 2016; 51: 10–16.
- 49 Notohamiprodjo M, Dietrich O, Horger W, et al. Diffusion tensor imaging (DTI) of the kidney at 3 Tesla-feasibility, protocol evaluation and comparison to 1.5 Tesla. Invest Radiol 2010; 45: 245–254.
- 50 Li Q, Wu X, Qiu L, Zhang P, Zhang M, Yan F. Diffusion-weighted MRI in the assessment of split renal function: Comparison of navigator-triggered prospective acquisition correction and breath-hold acquisition. Am J Roentgenol 2013; 200: 113–119.
- 51 Liang L, Chen W-B, Chan KWY, et al. Using intravoxel incoherent motion MR imaging to study the renal pathophysiological process of contrast-induced acute kidney injury in rats: Comparison with conventional DWI and arterial spin labelling. Eur Radiol 2016; 26: 1597–1605.
- 52 Hueper K, Khalifa AA, Vo Chieu VD, et al. Diffusion-weighted imaging and diffusion tensor imaging detect delayed graft function and correlate with allograft fibrosis in patients early after kidney transplantation. J Magn Reson Imaging 2016; 44: 112–121.
- 53 Bane O, Wagner M, Zhang JL, et al. Assessment of renal function using intravoxel incoherent motion diffusion-weighted imaging and dynamic contrast-enhanced MRI. J Magn Reson Imaging 2016; 44: 317–326.
- 54 Zheng Z, Shi H, Zhang J, Zhang Y. Renal water molecular diffusion characteristics in healthy native kidneys: Assessment with diffusion tensor MR imaging. PLoS One 2014; 9: 1–18.
- 55 Gaudiano C, Clementi V, Busato F, et al. Diffusion tensor imaging and tractography of the kidneys: Assessment of chronic parenchymal diseases. Eur Radiol 2013; 23: 1678–1685.
- 56 Seif M, Mani LY, Lu H, et al. Diffusion tensor imaging of the human kidney: Does image registration permit scanning without respiratory triggering? J Magn Reson Imaging 2016; 44: 327–334.
- 57 Hilbert F, Wech T, Neubauer H, et al. Comparison of turbo spin echo and echo planar imaging for intravoxel incoherent motion and diffusion tensor imaging of the kidney at 3Tesla. Zeit Med Phys 2016: 1–9.
- 58 Chan RW, Von Deuster C, Stoeck CT, et al. High-resolution diffusion tensor imaging of the human kidneys using a free-breathing, multi-slice, targeted field of view approach. NMR Biomed 2014; 27: 1300–1312.
- 59 Notohamiprodjo M, Glaser C, Herrmann K, et al. Diffusion tensor imaging of the kidney with parallel imaging: initial clinical experience. Invest Radiol 2008; 43: 677–685.
- 60 Ye Q, Chen Z, Zhao Y, et al. Initial experience of generalized intravoxel incoherent motion imaging and diffusion tensor imaging (GIVIM-DTI) in healthy subjects. J Magn Reson Imaging 2016; 44: 732–738.
- 61 Hilbert F, Bock M, Neubauer H, et al. An intravoxel oriented flow model for diffusion-weighted imaging of the kidney. NMR Biomed 2016; 29: 1403–1413.
- 62 Winter JD, St. Lawrence KS, Margaret Cheng HL. Quantification of renal perfusion: Comparison of arterial spin labeling and dynamic contrast-enhanced MRI. J Magn Reson Imaging 2011; 34: 608–615.
- 63 Cutajar M, Thomas DL, Hales PW, Banks T, Clark CA, Gordon I. Comparison of ASL and DCE MRI for the non-invasive measurement of renal blood flow: Quantification and reproducibility. Eur Radiol 2014; 24: 1300–1308.
- 64 Kim DW, Shim WH, Yoon SK, et al. Measurement of arterial transit time and renal blood flow using pseudocontinuous ASL MRI with multiple post-labeling delays: Feasibility, reproducibility, and variation. J Magn Reson Imaging 2017; 46: 813–819.
- 65 Robson PM, Madhuranthakam AJ, Smith MP, et al. Volumetric arterial spin-labeled perfusion imaging of the kidneys with a three-dimensional fast spin echo acquisition. Acad Radiol 2016; 23: 144–154.
- 66 Prevost VH, Girard OM, Callot V, Cozzone PJ, Duhamel G. Fast imaging strategies for mouse kidney perfusion measurement with pseudocontinuous arterial spin labeling (pCASL) at ultra high magnetic field (11.75 Tesla). J Magn Reson Imaging 2015; 42: 999–1008.
- 67 Peng X-G, Bai Y-Y, Fang F, et al. Renal lipids and oxygenation in diabetic mice: noninvasive quantification with MR imaging. Radiology 2013; 269: 748–757.
- 68 Peng X-G, Ju S, Fang F, et al. Comparison of brown and white adipose tissue fat fractions in ob, seipin, and Fsp27 gene knockout mice by chemical shift-selective imaging and 1H-MR spectroscopy. AJP Endocrinol Metab 2013; 304: E160–E167.
- 69 Yokoo T, Clark HR, Pedrosa I, et al. Quantification of renal steatosis in type II diabetes mellitus using Dixon-based MRI. J Magn Reson Imaging 2016; 44: 1312–1319.
- 70 Wang Y, Feng Y, Lu C, Ju S. Renal fat fraction and diffusion tensor imaging in patients with early-stage diabetic nephropathy. Eur Radiol 2018 [Epub ahead of print].
- 71 de Boer A, Leiner T, Vink EE, Blankestijn PJ, van den Berg CAT. Modified Dixon-based renal dynamic contrast-enhanced MRI facilitates automated registration and perfusion analysis. Magn Reson Med 2017; 11: 15–18.
- 72 Jhaveri K, Guo L, DeVito T. Feasibility of in-vivo semi-LASER renal magnetic resonance spectroscopy (MRS): Pilot study in healthy volunteers. Magn Reson Imaging 2017; 40: 12–16.
- 73 Baligand C, Qin H, True-Yasaki A, et al. Hyperpolarized 13C magnetic resonance evaluation of renal ischemia reperfusion injury in a murine model. NMR Biomed 2017; 30: e3765.
- 74 Notohamiprodjo M, Staehler M, Steiner N, et al. Combined diffusion-weighted, blood oxygen level-dependent, and dynamic contrast-enhanced MRI for characterization and differentiation of renal cell carcinoma. Acad Radiol 2013; 20: 685–693.
- 75 Li H, Liang L, Li A, et al. Monoexponential, biexponential, and stretched exponential diffusion-weighted imaging models: Quantitative biomarkers for differentiating renal clear cell carcinoma and minimal fat angiomyolipoma. J Magn Reson Imaging 2017; 46: 240–247.
- 76 Park JJ, Kim CK. Small (< 4 cm) renal tumors with predominantly low signal intensity on T2-weighted images: Differentiation of minimal-fat angiomyolipoma from renal cell carcinoma. Am J Roentgenol 2017; 208: 124–130.
- 77
Feng Q,
Ma Z,
Zhang S,
Wu J. Usefulness of diffusion tensor imaging for the differentiation between low-fat angiomyolipoma and clear cell carcinoma of the kidney background. SpringerPlus 2016; 5.
10.1186/s40064-015-1627-x Google Scholar
- 78 Xi Y, Yuan Q, Zhang Y, et al. Statistical clustering of parametric maps from dynamic contrast enhanced MRI and an associated decision tree model for non-invasive tumour grading of T1b solid clear cell renal cell carcinoma. Eur Radiol 2017; 28: 124–132.
- 79 Inci E, Hocaoglu E, Aydin S, Cimilli T. Diffusion-weighted magnetic resonance imaging in evaluation of primary solid and cystic renal masses using the Bosniak classification. Eur J Radiol 2012; 81: 815–820.
- 80 Zhong Y, Wang H, Shen Y, et al. Diffusion-weighted imaging versus contrast-enhanced MR imaging for the differentiation of renal oncocytomas and chromophobe renal cell carcinomas. Eur Radiol 2017: 1–10.
- 81 Zhu Q, Ye J, Zhu W, Wu J, Chen W. Value of intravoxel incoherent motion in assessment of pathological grade of clear cell renal cell carcinoma. Acta Radiol 2017; 59: 121–127.
- 82 Lanzman RS, Robson PM, Sun MR, et al. Arterial spin-labeling MR imaging of renal masses: correlation with histopathologic findings. Radiology 2012; 265: 799–808.
- 83 Feng Q, Fang W, Sun XP, Sun SH, Zhang RM, Ma ZJ. Renal clear cell carcinoma: diffusion tensor imaging diagnostic accuracy and correlations with clinical and histopathological factors. Clin Radiol 2017; 72: 560–564.
- 84 Yuan Q, Kapur P, Zhang Y, et al. Intratumor heterogeneity of perfusion and diffusion in clear-cell renal cell carcinoma: correlation with tumor cellularity. Clin Genit Cancer 2016; 14: e585–e594.
- 85 Zhang Y, Kapur P, Yuan Q, et al. Tumor vascularity in renal masses: correlation of arterial spin-labeled and dynamic contrast-enhanced magnetic resonance imaging assessments. Clin Genit Cancer 2016; 14: e25–e36.
- 86 Rosen MA, Schnall MD. Dynamic contrast-enhanced magnetic resonance imaging for assessing tumor vascularity and vascular effects of targeted therapies in renal cell carcinoma. Clin Cancer Res 2007; 13.
- 87 Jeon TY, Kim CK, Kim JH, Im GH, Park BK, Lee JH. Assessment of early therapeutic response to sorafenib in renal cell carcinoma xenografts by dynamic contrastenhanced and diffusion-weighted MR imaging. Br J Radiol 2015; 88.
- 88 De Bazelaire C, Alsop DC, George D, et al. Magnetic resonance Imaging — Measured blood flow change after antiangiogenic therapy with PTK787/ZK 222584 correlates with clinical outcome in metastatic renal cell carcinoma. Clin Cancer Res 2008; 14: 5548–5554.
- 89 Khatir DS, Pedersen M, Jespersen B, Buus NH. Evaluation of renal blood flow and oxygenation in CKD using magnetic resonance imaging. Am J Kidney Dis 2015; 66: 402–411.
- 90 Cai Y, Li Z, Zuo P, et al. Diagnostic value of renal perfusion in patients with chronic kidney disease using 3D arterial spin labeling. J Magn Reson Imaging 2017; 46: 589–594.
- 91 Evans RG, Ince C, Joles JA, et al. Haemodynamic influences on kidney oxygenation: Clinical implications of integrative physiology. Clin Exp Pharmacol Physiol 2013; 40: 106–122.
- 92 Michaely HJ, Metzger L, Haneder S, Hansmann J, Schoenberg SO, Attenberger UI. Renal BOLD-MRI does not reflect renal function in chronic kidney disease. Kidney Int 2012; 81: 684–689.
- 93 Emre T, Kiliçkesmez Ö, Büker A, Ýnal BB, Dogan H, Ecder T. Renal function and diffusion-weighted imaging: a new method to diagnose kidney failure before losing half function. Radiol Med 2016; 121: 163–172.
- 94 Rossi C, Artunc F, Martirosian P, Schlemmer H-P, Schick F, Boss A. Histogram analysis of renal arterial spin labeling perfusion data reveals differences between volunteers and patients with mild chronic kidney disease. Invest Radiol 2012; 47: 490–496.
- 95 Yang L, Li X-M, Zhao S, Hu Y-J, Liu R-B. Diffusion-weighted imaging of the kidneys and its relationship with residual renal function in continuous ambulatory peritoneal dialysis patients. AJR Am J Roentgenol 2015; 204: 1008–1012.
- 96 Epstein FH, Prasad P. Effects of furosemide on medullary oxygenation in younger and older subjects. Kidney Int 2000; 57: 2080–2083.
- 97 Eikefjord E, Andersen E, Hodneland E, Svarstad E, Lundervold A, Rørvik J. Quantification of single-kidney function and volume in living kidney donors using dynamic contrast-enhanced MRI. Am J Roentgenol 2016; 207: 1022–1030.
- 98 Cutajar M, Hilton R, Olsburgh J, et al. Renal blood flow using arterial spin labelling MRI and calculated filtration fraction in healthy adult kidney donors Pre-nephrectomy and post-nephrectomy. Eur Radiol 2015; 25: 2390–2396.
- 99 Sade R, Kantarci M, Karaca L, et al. Value of dynamic MRI using the Ktrans technique for assessment of native kidneys in pre-emptive renal transplantation. Acta Radiol 2016; 58: 1–7.
- 100 Fan W, Ren T, Li Q, et al. Assessment of renal allograft function early after transplantation with isotropic resolution diffusion tensor imaging. Eur Radiol 2016; 26: 567–575.
- 101 Hueper K, Gutberlet M, Rodt T, et al. Diffusion tensor imaging and tractography for assessment of renal allograft dysfunction-initial results. Eur Radiol 2011; 21: 2427–2433.
- 102 Li Y, Lee MM, Worters PW, MacKenzie JD, Laszik Z, Courtier JL. Pilot study of renal diffusion tensor imaging as a correlate to histopathology in pediatric renal allografts. Am J Roentgenol 2017; 208: 1358–1364.
- 103 Khalifa F, Abou El-Ghar M, Abdollahi B, Frieboes HB, El-Diasty T, El-Baz A. A comprehensive non-invasive framework for automated evaluation of acute renal transplant rejection using DCE-MRI. NMR Biomed 2013; 26: 1460–1470.
- 104 Zimmer F, Klotz S, Hoeger S, et al. Quantitative arterial spin labelling perfusion measurements in rat models of renal transplantation and acute kidney injury at 3T. Zeit Med Physik 2017; 27: 39–48.
- 105 Abou-El-Ghar ME, El-Diasty TA, El-Assmy AM, Refaie HF, Refaie AF, Ghoneim MA. Role of diffusion-weighted MRI in diagnosis of acute renal allograft dysfunction: a prospective preliminary study. Br J Radiol 2012; 85: e206–e211.
- 106 Cheung JS, Fan SJ, Chow AM, Zhang J, Man K, Wu EX. Diffusion tensor imaging of renal ischemia reperfusion injury in an experimental model. NMR Biomed 2010; 23: 496–502.
- 107 Hueper K, Hartung D, Gutberlet M, et al. Magnetic resonance diffusion tensor imaging for evaluation of histopathological changes in a rat model of diabetic nephropathy. Invest Radiol 2012; 47: 430–437.
- 108 Chen X, Xiao W, Li X, He J, Huang X, Tan Y. In vivo evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2 diabetics with normoalbuminuria versus microalbuminuria. Front Med 2014; 8: 471–476.
- 109 Mora-Gutierrez JM, Garcia-Fernandez N, Slon Roblero MF, et al. Arterial spin labeling MRI is able to detect early hemodynamic changes in diabetic nephropathy. J Magn Reson Imaging 2017; 46: 1810–1817.
- 110 Kaimori J-Y, Isaka Y, Hatanaka M, et al. Visualization of kidney fibrosis in diabetic nephropathy by long diffusion tensor imaging MRI with spin-echo sequence. Sci Rep 2017; 7: 5731.
- 111 Yan YY, Hartono S, Hennedige T, et al. Intravoxel incoherent motion and diffusion tensor imaging of early renal fibrosis induced in a murine model of streptozotocin induced diabetes. Magn Reson Imaging 2017; 38: 71–76.
- 112 Gloviczki ML, Lerman LO, Textor SC. Blood oxygen level-dependent (BOLD) MRI in renovascular hypertension. Curr Hypertens Rep 2011; 13: 370–377.
- 113 Lim SW, Chrysochou C, Buckley DL, Kalra PA, Sourbron SP. Prediction and assessment of responses to renal artery revascularization with dynamic contrast-enhanced magnetic resonance imaging: a pilot study. Am J Physiol Renal Physiol 2013; 305: F672–678.
- 114 Claudon M, Durand E, Grenier N, et al. Chronic urinary obstruction: evaluation of dynamic contrast-enhanced MR urography for measurement of split renal function. Radiology 2014; 273: 801–812.
- 115 Ferré JC, Bannier E, Raoult H, Mineur G, Carsin-Nicol B, Gauvrit JY. Arterial spin labeling (ASL) perfusion: Techniques and clinical use. Diagn Intervent Imaging 2013; 94: 1211–1223.
