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For: Ebrahimi B, Textor SC, Lerman LO. Renal relevant radiology: renal functional magnetic resonance imaging. Clin J Am Soc Nephrol 2014;9:395-405. [PMID: 24370767 DOI: 10.2215/CJN.02900313] [Cited by in Crossref: 48] [Cited by in F6Publishing: 24] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Jiang K, Ferguson CM, Woollard JR, Zhu X, Lerman LO. Magnetization Transfer Magnetic Resonance Imaging Noninvasively Detects Renal Fibrosis in Swine Atherosclerotic Renal Artery Stenosis at 3.0 T. Invest Radiol 2017;52:686-92. [PMID: 28542095 DOI: 10.1097/RLI.0000000000000390] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 4.5] [Reference Citation Analysis]
2 Li X, Xu X, Zhang Q, Ren H, Zhang W, Liu Y, Yan F, Chen N. Diffusion weighted imaging and blood oxygen level-dependent MR imaging of kidneys in patients with lupus nephritis. J Transl Med 2014;12:295. [PMID: 25342208 DOI: 10.1186/s12967-014-0295-x] [Cited by in Crossref: 19] [Cited by in F6Publishing: 12] [Article Influence: 2.4] [Reference Citation Analysis]
3 Sharkey J, Scarfe L, Santeramo I, Garcia-Finana M, Park BK, Poptani H, Wilm B, Taylor A, Murray P. Imaging technologies for monitoring the safety, efficacy and mechanisms of action of cell-based regenerative medicine therapies in models of kidney disease. Eur J Pharmacol 2016;790:74-82. [PMID: 27375077 DOI: 10.1016/j.ejphar.2016.06.056] [Cited by in Crossref: 23] [Cited by in F6Publishing: 17] [Article Influence: 3.8] [Reference Citation Analysis]
4 Shin SH, Wendland MF, Zhang B, Tran A, Tang A, Vandsburger MH. Noninvasive imaging of renal urea handling by CEST-MRI. Magn Reson Med 2020;83:1034-44. [PMID: 31483529 DOI: 10.1002/mrm.27968] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
5 Jiang K, Ferguson CM, Ebrahimi B, Tang H, Kline TL, Burningham TA, Mishra PK, Grande JP, Macura SI, Lerman LO. Noninvasive Assessment of Renal Fibrosis with Magnetization Transfer MR Imaging: Validation and Evaluation in Murine Renal Artery Stenosis. Radiology 2017;283:77-86. [PMID: 27697008 DOI: 10.1148/radiol.2016160566] [Cited by in Crossref: 41] [Cited by in F6Publishing: 40] [Article Influence: 6.8] [Reference Citation Analysis]
6 Chu C, Zhou N, Zhang H, Dou X, Li M, Liu S, Wang J, Chen W, Chan Q, Sun L, He J, Zhou Z. Added Value of Parotid R2* Values for Evaluation of Sjögren Syndrome: A Preliminary Study. Journal of Computer Assisted Tomography 2017;41:547-52. [DOI: 10.1097/rct.0000000000000554] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
7 Manaktala R, Tafur-Soto JD, White CJ. Renal Artery Stenosis in the Patient with Hypertension: Prevalence, Impact and Management. Integr Blood Press Control 2020;13:71-82. [PMID: 32581575 DOI: 10.2147/IBPC.S248579] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 van Eijs MJM, van Zuilen AD, de Boer A, Froeling M, Nguyen TQ, Joles JA, Leiner T, Verhaar MC. Innovative Perspective: Gadolinium-Free Magnetic Resonance Imaging in Long-Term Follow-Up after Kidney Transplantation. Front Physiol 2017;8:296. [PMID: 28559850 DOI: 10.3389/fphys.2017.00296] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
9 Shi H, Jia J, Li D, Wei L, Shang W, Zheng Z. Blood oxygen level dependent magnetic resonance imaging for detecting pathological patterns in lupus nephritis patients: a preliminary study using a decision tree model. BMC Nephrol 2018;19:33. [PMID: 29426280 DOI: 10.1186/s12882-017-0787-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
10 Xie L, Bennett KM, Liu C, Johnson GA, Zhang JL, Lee VS. MRI tools for assessment of microstructure and nephron function of the kidney. Am J Physiol Renal Physiol 2016;311:F1109-24. [PMID: 27630064 DOI: 10.1152/ajprenal.00134.2016] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 3.2] [Reference Citation Analysis]
11 Jerome NP, Boult JK, Orton MR, d'Arcy J, Collins DJ, Leach MO, Koh DM, Robinson SP. Modulation of renal oxygenation and perfusion in rat kidney monitored by quantitative diffusion and blood oxygen level dependent magnetic resonance imaging on a clinical 1.5T platform. BMC Nephrol 2016;17:142. [PMID: 27716094 DOI: 10.1186/s12882-016-0356-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
12 Pruijm M, Milani B, Burnier M. Blood Oxygenation Level-Dependent MRI to Assess Renal Oxygenation in Renal Diseases: Progresses and Challenges. Front Physiol 2016;7:667. [PMID: 28105019 DOI: 10.3389/fphys.2016.00667] [Cited by in Crossref: 22] [Cited by in F6Publishing: 24] [Article Influence: 4.4] [Reference Citation Analysis]
13 Zhou S, Zhang Y, Wang T, Huang S, Gong S, Wang J, Yu P. Canagliflozin could improve the levels of renal oxygenation in newly diagnosed type 2 diabetes patients with normal renal function. Diabetes Metab 2021;47:101274. [PMID: 34481963 DOI: 10.1016/j.diabet.2021.101274] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Mora-Gutiérrez JM, Fernández-Seara MA, Echeverria-Chasco R, Garcia-Fernandez N. Perspectives on the Role of Magnetic Resonance Imaging (MRI) for Noninvasive Evaluation of Diabetic Kidney Disease. J Clin Med 2021;10:2461. [PMID: 34199385 DOI: 10.3390/jcm10112461] [Reference Citation Analysis]
15 Feng YZ, Dong XN, Lin QT, Chen PK, Xiong XQ, DingKun S, Qian L, Cheng ZY, Cai XR. Multiparametric MRI analysis for the evaluation of renal function in patients with hyperuricemia: a preliminary study. BMC Med Imaging 2021;21:139. [PMID: 34583652 DOI: 10.1186/s12880-021-00675-4] [Reference Citation Analysis]
16 Schley G, Jordan J, Ellmann S, Rosen S, Eckardt KU, Uder M, Willam C, Bäuerle T. Multiparametric magnetic resonance imaging of experimental chronic kidney disease: A quantitative correlation study with histology. PLoS One 2018;13:e0200259. [PMID: 30011301 DOI: 10.1371/journal.pone.0200259] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.8] [Reference Citation Analysis]
17 Jiang K, Fang Y, Ferguson CM, Tang H, Mishra PK, Macura SI, Lerman LO. Quantitative Magnetization Transfer Detects Renal Fibrosis in Murine Kidneys With Renal Artery Stenosis. J Magn Reson Imaging 2020. [PMID: 32964585 DOI: 10.1002/jmri.27370] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Ebrahimi B, Saad A, Jiang K, Ferguson CM, Tang H, Woollard JR, Glockner JF, Textor SC, Lerman LO. Renal Adiposity Confounds Quantitative Assessment of Markers of Renal Diffusion With MRI: A Proposed Correction Method. Invest Radiol 2017;52:672-9. [PMID: 28562413 DOI: 10.1097/RLI.0000000000000389] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
19 Su CH, Hsu YC, Thangudu S, Chen WY, Huang YT, Yu CC, Shih YH, Wang CJ, Lin CL. Application of multiparametric MR imaging to predict the diversification of renal function in miR29a-mediated diabetic nephropathy. Sci Rep 2021;11:1909. [PMID: 33479331 DOI: 10.1038/s41598-021-81519-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Daloul R, Morrison AR. Approach to atherosclerotic renovascular disease: 2016. Clin Kidney J 2016;9:713-21. [PMID: 27679718 DOI: 10.1093/ckj/sfw079] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
21 Kirsch H, Mentzel HJ. [Renal functional diagnostics using magnetic resonance imaging]. Radiologe 2018;58:914-24. [PMID: 30225770 DOI: 10.1007/s00117-018-0451-z] [Reference Citation Analysis]
22 Takahashi T, Wang F, Quarles CC. Current MRI techniques for the assessment of renal disease. Curr Opin Nephrol Hypertens 2015;24:217-23. [PMID: 26066472 DOI: 10.1097/MNH.0000000000000122] [Cited by in Crossref: 27] [Cited by in F6Publishing: 15] [Article Influence: 4.5] [Reference Citation Analysis]
23 Kim SR, Lerman LO. Diagnostic imaging in the management of patients with metabolic syndrome. Transl Res 2018;194:1-18. [PMID: 29175480 DOI: 10.1016/j.trsl.2017.10.009] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
24 Zhang JL. Functional Magnetic Resonance Imaging of the Kidneys-With and Without Gadolinium-Based Contrast. Adv Chronic Kidney Dis 2017;24:162-8. [PMID: 28501079 DOI: 10.1053/j.ackd.2017.03.006] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
25 Leung G, Kirpalani A, Szeto SG, Deeb M, Foltz W, Simmons CA, Yuen DA. Could MRI Be Used To Image Kidney Fibrosis? A Review of Recent Advances and Remaining Barriers. Clin J Am Soc Nephrol 2017;12:1019-28. [PMID: 28298435 DOI: 10.2215/CJN.07900716] [Cited by in Crossref: 37] [Cited by in F6Publishing: 21] [Article Influence: 7.4] [Reference Citation Analysis]
26 Faubel S. Renal relevant radiology: introduction. Clin J Am Soc Nephrol 2014;9:371-2. [PMID: 24510108 DOI: 10.2215/CJN.10211013] [Reference Citation Analysis]
27 Ferguson CM, Eirin A, Abumoawad A, Saad A, Jiang K, Hedayat AF, Misra S, Glockner J, Textor SC, Lerman LO. Renal fibrosis detected by diffusion-weighted magnetic resonance imaging remains unchanged despite treatment in subjects with renovascular disease. Sci Rep 2020;10:16300. [PMID: 33004888 DOI: 10.1038/s41598-020-73202-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
28 Asaturyan H, Villarini B, Sarao K, Chow JS, Afacan O, Kurugol S. Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. Sensors (Basel) 2021;21:7942. [PMID: 34883946 DOI: 10.3390/s21237942] [Reference Citation Analysis]