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For: Selby NM, Blankestijn PJ, Boor P, Combe C, Eckardt KU, Eikefjord E, Garcia-Fernandez N, Golay X, Gordon I, Grenier N, Hockings PD, Jensen JD, Joles JA, Kalra PA, Krämer BK, Mark PB, Mendichovszky IA, Nikolic O, Odudu A, Ong ACM, Ortiz A, Pruijm M, Remuzzi G, Rørvik J, de Seigneux S, Simms RJ, Slatinska J, Summers P, Taal MW, Thoeny HC, Vallée JP, Wolf M, Caroli A, Sourbron S. Magnetic resonance imaging biomarkers for chronic kidney disease: a position paper from the European Cooperation in Science and Technology Action PARENCHIMA. Nephrol Dial Transplant 2018;33:ii4-ii14. [PMID: 30137584 DOI: 10.1093/ndt/gfy152] [Cited by in Crossref: 62] [Cited by in F6Publishing: 66] [Article Influence: 15.5] [Reference Citation Analysis]
Number Citing Articles
1 Guo J, Marticorena Garcia S, Sack I. Summary and overview of the first ISMRM workshop on magnetic resonance elastography, August 25-26, 2022, Berlin, Germany. Magn Reson Med 2023;89:898-907. [PMID: 36336828 DOI: 10.1002/mrm.29503] [Reference Citation Analysis]
2 Echeverria-Chasco R, Martin-Moreno PL, Garcia-Fernandez N, Vidorreta M, Aramendia-Vidaurreta V, Cano D, Villanueva A, Bastarrika G, Fernández-Seara MA. Multiparametric renal magnetic resonance imaging: A reproducibility study in renal allografts with stable function. NMR Biomed 2023;36:e4832. [PMID: 36115029 DOI: 10.1002/nbm.4832] [Reference Citation Analysis]
3 Sigmund EE, Mikheev A, Brinkmann IM, Gilani N, Babb JS, Basukala D, Benkert T, Veraart J, Chandarana H. Cardiac Phase and Flow Compensation Effects on REnal Flow and Microstructure AnisotroPy MRI in Healthy Human Kidney. Magnetic Resonance Imaging 2022. [DOI: 10.1002/jmri.28517] [Reference Citation Analysis]
4 Wolf M, Kommer S, Fembek S, Dröszler U, Körner T, Berg A, Schmid AI, Moser E, Meyerspeer M. Reproducible phantom for quality assurance in abdominal MRI focussing kidney imaging. Front Phys 2022;10:993241. [DOI: 10.3389/fphy.2022.993241] [Reference Citation Analysis]
5 Alex DM, Abraham Chandy D, Hepzibah Christinal A, Singh A, Pushkaran M. YSegNet: a novel deep learning network for kidney segmentation in 2D ultrasound images. Neural Comput & Applic. [DOI: 10.1007/s00521-022-07624-4] [Reference Citation Analysis]
6 Ruiz-Ortega M, Lamas S, Ortiz A. Antifibrotic Agents for the Management of CKD: A Review. Am J Kidney Dis 2022;80:251-63. [PMID: 34999158 DOI: 10.1053/j.ajkd.2021.11.010] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 8.0] [Reference Citation Analysis]
7 Zhang C, Schwartz M, Küstner T, Martirosian P, Seith F. Multiparametric Functional MRI of the Kidney: Current State and Future Trends with Deep Learning Approaches. Rofo 2022. [PMID: 35272360 DOI: 10.1055/a-1775-8633] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Liefke J, Steding-ehrenborg K, Asgeirsson D, Nordlund D, Kopic S, Morsing E, Hedström E. Non-contrast-enhanced magnetic resonance imaging can be used to assess renal cortical and medullary volumes—A validation study. Acta Radiologica Open 2022;11:205846012110722. [DOI: 10.1177/20584601211072281] [Reference Citation Analysis]
9 Inoue T, Kozawa E, Ishikawa M, Fukaya D, Amano H, Watanabe Y, Tomori K, Kobayashi N, Niitsu M, Okada H. Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease. Sci Rep 2021;11:22129. [PMID: 34764322 DOI: 10.1038/s41598-021-01147-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
10 Rankin AJ, Mayne K, Allwood-Spiers S, Hall Barrientos P, Roditi G, Gillis KA, Mark PB. Will advances in functional renal magnetic resonance imaging translate to the nephrology clinic? Nephrology (Carlton) 2021. [PMID: 34724286 DOI: 10.1111/nep.13985] [Reference Citation Analysis]
11 Hysi E, Kaur H, Young A. Evolving Medical Imaging Techniques for the Assessment of Delayed Graft Function: A Narrative Review. Can J Kidney Health Dis 2021;8:20543581211048341. [PMID: 34707880 DOI: 10.1177/20543581211048341] [Reference Citation Analysis]
12 Bones IK, Bos C, Moonen C, Hendrikse J, van Stralen M. Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning. Magn Reson Med 2022;87:800-9. [PMID: 34672029 DOI: 10.1002/mrm.29016] [Reference Citation Analysis]
13 Borrelli P, Zacchia M, Cavaliere C, Basso L, Salvatore M, Capasso G, Aiello M. Diffusion tensor imaging for the study of early renal dysfunction in patients affected by bardet-biedl syndrome. Sci Rep 2021;11:20855. [PMID: 34675323 DOI: 10.1038/s41598-021-00394-4] [Reference Citation Analysis]
14 Gladytz T, Millward JM, Cantow K, Hummel L, Zhao K, Flemming B, Periquito JS, Pohlmann A, Waiczies S, Seeliger E, Niendorf T. Reliable kidney size determination by magnetic resonance imaging in pathophysiological settings. Acta Physiol (Oxf) 2021;233:e13701. [PMID: 34089569 DOI: 10.1111/apha.13701] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
15 Shimizu M, Furuichi K, Kitajima S, Toyama T, Oshima M, Ogura H, Sato K, Nakagawa S, Yamamura Y, Miyagawa T, Hara A, Iwata Y, Sakai N, Kitagawa K, Yoshimura M, Yokoyama H, Wada T. Impact of the relationship between hemoglobin levels and renal interstitial fibrosis on long-term outcomes in type 2 diabetes with biopsy-proven diabetic nephropathy. BMC Nephrol 2021;22:319. [PMID: 34560842 DOI: 10.1186/s12882-021-02510-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
16 Schmidbauer M, Rong S, Gutberlet M, Chen R, Bräsen JH, Hartung D, Meier M, Wacker F, Haller H, Gueler F, Greite R, Derlin K. Diffusion-Weighted Imaging and Mapping of T1 and T2 Relaxation Time for Evaluation of Chronic Renal Allograft Rejection in a Translational Mouse Model. J Clin Med 2021;10:4318. [PMID: 34640336 DOI: 10.3390/jcm10194318] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
17 Østergaard JA, Cooper ME. The Discordance Between the Renal Histopathology and Clinical Presentation of Diabetic Nephropathy Calls for Novel Approaches for the Prediction and Monitoring of Kidney Failure in Diabetes. Kidney Int Rep 2021;6:2258-60. [PMID: 34514188 DOI: 10.1016/j.ekir.2021.07.029] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Rodríguez-Rodríguez R, Hojs R, Trevisani F, Morales E, Fernández G, Bevc S, Cases Corona CM, Cruzado JM, Quero M, Navarro Díaz M, Bettiga A, Di Marco F, López Martínez M, Moreso F, García Garro C, Khazim K, Ghanem F, Praga M, Ibernón M, Laranjinha I, Mendonça L, Bigotte Vieira M, Hornum M, Feldt-Rasmussen B, Fernández-Fernández B, Concepción PF, Negrín Mena N, Ortiz A, Porrini E; DIABESITY working group of the ERA. The Role of Vascular Lesions in Diabetes Across a Spectrum of Clinical Kidney Disease. Kidney Int Rep 2021;6:2392-403. [PMID: 34514200 DOI: 10.1016/j.ekir.2021.06.001] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
19 Alhummiany BA, Shelley D, Saysell M, Olaru MA, Kühn B, Buckley DL, Bailey J, Wroe K, Coupland C, Mansfield MW, Sourbron SP, Sharma K. Bias and Precision in Magnetic Resonance Imaging-Based Estimates of Renal Blood Flow: Assessment by Triangulation. J Magn Reson Imaging 2021. [PMID: 34397124 DOI: 10.1002/jmri.27888] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
20 Timms L, Zhou T, Lyu Y, Qiao J, Mishra V, Lahoud RM, Jayaraman GV, Allegretti AS, Drew D, Seethamraju RT, Harisinghani M, Sridhar S. Ferumoxytol-enhanced ultrashort TE MRA and quantitative morphometry of the human kidney vasculature. Abdom Radiol (NY) 2021;46:3288-300. [PMID: 33666735 DOI: 10.1007/s00261-021-02984-2] [Reference Citation Analysis]
21 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] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
22 Alex DM, Chandy DA. Exploration of a Framework for the Identification of Chronic Kidney Disease Based on 2D Ultrasound Images: A Survey. Curr Med Imaging 2021;17:464-78. [PMID: 32964826 DOI: 10.2174/1573405616666200923162600] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Caroli A, Remuzzi A, Lerman LO. Basic principles and new advances in kidney imaging. Kidney Int 2021:S0085-2538(21)00477-4. [PMID: 33984338 DOI: 10.1016/j.kint.2021.04.032] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
24 Zheng SS, He YM, Lu J. Noninvasive evaluation of diabetic patients with high fasting blood glucose using DWI and BOLD MRI. Abdom Radiol (NY) 2021;46:1659-69. [PMID: 32997155 DOI: 10.1007/s00261-020-02780-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
25 Hectors SJ, Garteiser P, Doblas S, Pagé G, Van Beers BE, Waterton JC, Bane O. MRI Mapping of Renal T1: Basic Concept. Methods Mol Biol 2021;2216:157-69. [PMID: 33475999 DOI: 10.1007/978-1-0716-0978-1_9] [Reference Citation Analysis]
26 Kannenkeril D, Janka R, Bosch A, Jung S, Kolwelter J, Striepe K, Ott C, Martirosian P, Schiffer M, Uder M, Schmieder RE. Detection of Changes in Renal Blood Flow Using Arterial Spin Labeling MRI. Am J Nephrol 2021;52:69-75. [PMID: 33677438 DOI: 10.1159/000513665] [Reference Citation Analysis]
27 Lee W, Kim B, Park H. Quantification of intravoxel incoherent motion with optimized b-values using deep neural network. Magn Reson Med 2021;86:230-44. [PMID: 33594783 DOI: 10.1002/mrm.28708] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
28 Zhang J, Yu Y, Liu X, Tang X, Xu F, Zhang M, Xie G, Zhang L, Li X, Liu ZH. Evaluation of Renal Fibrosis by Mapping Histology and Magnetic Resonance Imaging. Kidney Dis (Basel) 2021;7:131-42. [PMID: 33824869 DOI: 10.1159/000513332] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
29 Bones IK, Franklin SL, Harteveld AA, van Osch MJP, Schmid S, Hendrikse J, Moonen C, van Stralen M, Bos C. Exploring label dynamics of velocity-selective arterial spin labeling in the kidney. Magn Reson Med 2021;86:131-42. [PMID: 33538350 DOI: 10.1002/mrm.28683] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
30 Li LP, Thacker JM, Li W, Hack B, Wang C, Kohn O, Sprague SM, Prasad PV. Medullary Blood Oxygen Level-Dependent MRI Index (R2*) is Associated with Annual Loss of Kidney Function in Moderate CKD. Am J Nephrol 2020;51:966-74. [PMID: 33508835 DOI: 10.1159/000512854] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
31 Hockings P, Laustsen C, Joles JA, Mark PB, Sourbron S. Special issue on magnetic resonance imaging biomarkers of renal disease. MAGMA 2020;33:1-2. [PMID: 31897904 DOI: 10.1007/s10334-019-00822-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
32 Selby NM, Duranteau J. New imaging techniques in AKI. Curr Opin Crit Care 2020;26:543-8. [PMID: 33074946 DOI: 10.1097/MCC.0000000000000768] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
33 Hosszu A, Kaucsar T, Seeliger E, Fekete A. Animal Models of Renal Pathophysiology and Disease. Methods Mol Biol 2021;2216:27-44. [PMID: 33475992 DOI: 10.1007/978-1-0716-0978-1_2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
34 Zollner FG, Kocinski M, Hansen L, Golla A, Trbalic AS, Lundervold A, Materka A, Rogelj P. Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects. IEEE Access 2021;9:71577-605. [DOI: 10.1109/access.2021.3078430] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
35 Kaucsar T, Hosszu A, Seeliger E, Reimann HM, Fekete A. Preparation and Monitoring of Small Animals in Renal MRI. Methods Mol Biol 2021;2216:45-55. [PMID: 33475993 DOI: 10.1007/978-1-0716-0978-1_3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
36 Franklin SL, Bones IK, Harteveld AA, Hirschler L, van Stralen M, Qin Q, de Boer A, Hoogduin JM, Bos C, van Osch MJP, Schmid S. Multi-organ comparison of flow-based arterial spin labeling techniques: Spatially non-selective labeling for cerebral and renal perfusion imaging. Magn Reson Med 2021;85:2580-94. [PMID: 33251644 DOI: 10.1002/mrm.28603] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
37 Bechler E, Stabinska J, Thiel T, Jasse J, Zukovs R, Valentin B, Wittsack HJ, Ljimani A. Feasibility of quantitative susceptibility mapping (QSM) of the human kidney. MAGMA 2021;34:389-97. [PMID: 33230656 DOI: 10.1007/s10334-020-00895-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
38 Wang H, Wong A, Lewis LC, Nemeth GR, Jordan VC, Bacon JW, Caravan P, Shafaat HS, Gale EM. Rational Ligand Design Enables pH Control over Aqueous Iron Magnetostructural Dynamics and Relaxometric Properties. Inorg Chem 2020;59:17712-21. [PMID: 33216537 DOI: 10.1021/acs.inorgchem.0c02923] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
39 Caroli A, Remuzzi A, Ruggiero B, Carrara C, Rizzo P, Brambilla P, Ruggenenti P, Remuzzi G. Functional Magnetic Resonance Imaging Versus Kidney Biopsy to Assess Response to Therapy in Nephrotic Syndrome: A Case Report. Kidney Medicine 2020;2:804-809. [DOI: 10.1016/j.xkme.2020.07.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
40 de Boer A, Pieters TT, Harteveld AA, Blankestijn PJ, Bos C, Froeling M, Goldschmeding R, Hoogduin HJM, Joles JA, Petri BJ, Verhaar MC, Leiner T, Nguyen TQ, van Zuilen AD. Validation of multiparametric MRI by histopathology after nephrectomy: a case study. MAGMA 2021;34:377-87. [PMID: 32954447 DOI: 10.1007/s10334-020-00887-9] [Reference Citation Analysis]
41 Simms R, Sourbron S. Recent findings on the clinical utility of renal magnetic resonance imaging biomarkers. Nephrol Dial Transplant 2020;35:915-9. [PMID: 32516808 DOI: 10.1093/ndt/gfaa125] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
42 Mccafferty K, Caplin B, Knight S, Hockings P, Wheeler D, Fan SL, Hulthe J, Kleta R, Ashman N, Papastefanou V, Mehta H, Salama A, Hadzovic S, Chowdhury TA, Jarl L, Unwin R, Challis B, Sundgren AK, Yaqoob MM. HEROIC: a 5-year observational cohort study aimed at identifying novel factors that drive diabetic kidney disease: rationale and study protocol. BMJ Open 2020;10:e033923. [PMID: 32912939 DOI: 10.1136/bmjopen-2019-033923] [Reference Citation Analysis]
43 Deng Y, Yang BR, Luo JW, Du GX, Luo LP. DTI-based radiomics signature for the detection of early diabetic kidney damage. Abdom Radiol (NY) 2020;45:2526-31. [PMID: 32430512 DOI: 10.1007/s00261-020-02576-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
44 Gooding KM, Lienczewski C, Papale M, Koivuviita N, Maziarz M, Dutius Andersson AM, Sharma K, Pontrelli P, Garcia Hernandez A, Bailey J, Tobin K, Saunavaara V, Zetterqvist A, Shelley D, Teh I, Ball C, Puppala S, Ibberson M, Karihaloo A, Metsärinne K, Banks RE, Gilmour PS, Mansfield M, Gilchrist M, de Zeeuw D, Heerspink HJL, Nuutila P, Kretzler M, Welberry Smith M, Gesualdo L, Andress D, Grenier N, Shore AC, Gomez MF, Sourbron S; BEAt-DKD consortium. Prognostic imaging biomarkers for diabetic kidney disease (iBEAt): study protocol. BMC Nephrol 2020;21:242. [PMID: 32600374 DOI: 10.1186/s12882-020-01901-x] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
45 Pruijm M. Can COMBINED Magnetic Resonance Imaging Measure the Progression of Kidney Disease? Clin J Am Soc Nephrol 2020;15:747-9. [PMID: 32345748 DOI: 10.2215/CJN.04430420] [Reference Citation Analysis]
46 Adams LC, Bressem KK, Scheibl S, Nunninger M, Gentsch A, Fahlenkamp UL, Eckardt KU, Hamm B, Makowski MR. Multiparametric Assessment of Changes in Renal Tissue after Kidney Transplantation with Quantitative MR Relaxometry and Diffusion-Tensor Imaging at 3 T. J Clin Med 2020;9:E1551. [PMID: 32455558 DOI: 10.3390/jcm9051551] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
47 Srivastava A, Cai X, Lee J, Li W, Larive B, Kendrick C, Gassman JJ, Middleton JP, Carr J, Raphael KL, Cheung AK, Raj DS, Chonchol MB, Fried LF, Block GA, Sprague SM, Wolf M, Ix JH, Prasad PV, Isakova T. Kidney Functional Magnetic Resonance Imaging and Change in eGFR in Individuals with CKD. Clin J Am Soc Nephrol 2020;15:776-83. [PMID: 32345747 DOI: 10.2215/CJN.13201019] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
48 de Boer A, Harteveld AA, Stemkens B, Blankestijn PJ, Bos C, Franklin SL, Froeling M, Joles JA, Verhaar MC, van den Berg N, Hoogduin H, Leiner T. Multiparametric Renal MRI: An Intrasubject Test-Retest Repeatability Study. J Magn Reson Imaging 2021;53:859-73. [PMID: 32297700 DOI: 10.1002/jmri.27167] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 4.7] [Reference Citation Analysis]
49 Wilson MP, Katlariwala P, Low G. The utility of magnetic resonance elastography for native renal fibrosis is questionable and necessitates future research with rigorous methodology. Transl Res 2020;221:110-1. [PMID: 32283051 DOI: 10.1016/j.trsl.2020.03.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
50 Niendorf T, Seeliger E, Cantow K, Flemming B, Waiczies S, Pohlmann A. Probing renal blood volume with magnetic resonance imaging. Acta Physiol (Oxf) 2020;228:e13435. [PMID: 31876349 DOI: 10.1111/apha.13435] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
51 Bones IK, Franklin SL, Harteveld AA, van Osch MJP, Hendrikse J, Moonen C, van Stralen M, Bos C. Influence of labeling parameters and respiratory motion on velocity-selective arterial spin labeling for renal perfusion imaging. Magn Reson Med 2020;84:1919-32. [PMID: 32180263 DOI: 10.1002/mrm.28252] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
52 Ortiz A. PDGFR-β and kidney fibrosis. EMBO Mol Med 2020;12:e11729. [PMID: 32072759 DOI: 10.15252/emmm.201911729] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
53 Gooding KM, Lienczewski C, Papale M, Koivuviita N, Maziarz M, Andersson AD, Sharma K, Pontrelli P, Hernandez AG, Bailey J, Tobin K, Saunavaara V, Zetterqvist A, Shelley D, Teh I, Ball C, Puppala S, Ibberson M, Karihaloo A, Metsärinne K, Banks R, Gilmour PS, Mansfield M, Gilchrist M, de Zeeuw D, Heerspink HJ, Nuutila P, Kretzler M, Wellberry-smith M, Gesualdo L, Andress D, Grenier N, Shore AC, Gomez MF, Sourbron S, iBEAt investigators. Prognostic Imaging Biomarkers for Diabetic Kidney Disease (iBEAt): Study protocol.. [DOI: 10.1101/2020.01.13.20017228] [Reference Citation Analysis]
54 Francis S. Arterial Spin Labeling MRI: Basic Physics, Pulse Sequences, and Modeling. Advances in Magnetic Resonance Technology and Applications 2020. [DOI: 10.1016/b978-0-12-817057-1.00014-7] [Reference Citation Analysis]
55 Periquito JDS, Paul K, Huelnhagen T, Ku MC, Ji Y, Cantow K, Gladytz T, Grosenick D, Flemming B, Seeliger E, Waiczies S, Niendorf T, Pohlmann A. Diffusion-weighted Renal MRI at 9.4 Tesla Using RARE to Improve Anatomical Integrity. Sci Rep 2019;9:19723. [PMID: 31873155 DOI: 10.1038/s41598-019-56184-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
56 Rankin AJ, Allwood-Spiers S, Lee MMY, Zhu L, Woodward R, Kuehn B, Radjenovic A, Sattar N, Roditi G, Mark PB, Gillis KA. Comparing the interobserver reproducibility of different regions of interest on multi-parametric renal magnetic resonance imaging in healthy volunteers, patients with heart failure and renal transplant recipients. MAGMA 2020;33:103-12. [PMID: 31823275 DOI: 10.1007/s10334-019-00809-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
57 Harteveld AA, de Boer A, Franklin SL, Leiner T, van Stralen M, Bos C. Comparison of multi-delay FAIR and pCASL labeling approaches for renal perfusion quantification at 3T MRI. MAGMA 2020;33:81-94. [PMID: 31811490 DOI: 10.1007/s10334-019-00806-7] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
58 Mendichovszky I, Pullens P, Dekkers I, Nery F, Bane O, Pohlmann A, de Boer A, Ljimani A, Odudu A, Buchanan C, Sharma K, Laustsen C, Harteveld A, Golay X, Pedrosa I, Alsop D, Fain S, Caroli A, Prasad P, Francis S, Sigmund E, Fernández-Seara M, Sourbron S. Technical recommendations for clinical translation of renal MRI: a consensus project of the Cooperation in Science and Technology Action PARENCHIMA. MAGMA 2020;33:131-40. [PMID: 31628564 DOI: 10.1007/s10334-019-00784-w] [Cited by in Crossref: 23] [Cited by in F6Publishing: 24] [Article Influence: 5.8] [Reference Citation Analysis]
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