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For: Singh A, Reddy D, Haris M, Cai K, Rajender Reddy K, Hariharan H, Reddy R. T1ρ MRI of healthy and fibrotic human livers at 1.5 T. J Transl Med 2015;13:292. [PMID: 26350896 DOI: 10.1186/s12967-015-0648-0] [Cited by in Crossref: 25] [Cited by in F6Publishing: 30] [Article Influence: 3.6] [Reference Citation Analysis]
Number Citing Articles
1 Shin YR, Kim SU, Lee S, Choi JY, Park HK, Yoo JE, Park YN. Noninvasive surrogates are poor predictors of liver fibrosis in patients with Fontan circulation. J Thorac Cardiovasc Surg 2022;164:1176-1185.e3. [PMID: 35034765 DOI: 10.1016/j.jtcvs.2021.12.028] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
2 Hou J, Wong VW, Qian Y, Jiang B, Chan AW, Leung HH, Wong GL, Yu SC, Chu WC, Chen W. Detecting Early-Stage Liver Fibrosis Using Macromolecular Proton Fraction Mapping Based on Spin-Lock MRI: Preliminary Observations. J Magn Reson Imaging 2022. [PMID: 35753084 DOI: 10.1002/jmri.28308] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Velasco C, Cruz G, Lavin B, Hua A, Fotaki A, Botnar RM, Prieto C. Simultaneous T1 , T2 , and T cardiac magnetic resonance fingerprinting for contrast agent-free myocardial tissue characterization. Magn Reson Med 2021. [PMID: 34799854 DOI: 10.1002/mrm.29091] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
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5 Serai SD. Basics of magnetic resonance imaging and quantitative parameters T1, T2, T2*, T1rho and diffusion-weighted imaging. Pediatr Radiol 2021. [PMID: 33856502 DOI: 10.1007/s00247-021-05042-7] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
6 Zhao F, Zhou N, Wang JL, Zhou H, Zou LQ, Zhong WX, He J, Zheng CJ, Yan SX, Wáng YXJ. Collagen deposition in the liver is strongly and positively associated with T1rho elongation while fat deposition is associated with T1rho shortening: an experimental study of methionine and choline-deficient (MCD) diet rat model. Quant Imaging Med Surg 2020;10:2307-21. [PMID: 33269229 DOI: 10.21037/qims-20-651] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
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11 Dillman JR, Trout AT, Tkach JA. Relaxometry: Applications in the Body. Advances in Magnetic Resonance Technology and Applications 2020. [DOI: 10.1016/b978-0-12-817057-1.00012-3] [Reference Citation Analysis]
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13 Stief JD, Haase M, Lüdemann L, Theilig D, Schmelzle M, Hamm B, Denecke T, Geisel D. Combined morphological and functional liver MRI using spin-lattice relaxation in the rotating frame (T1ρ) in conjunction with Gadoxetic Acid-enhanced MRI. Sci Rep 2019;9:2083. [PMID: 30765741 DOI: 10.1038/s41598-018-37689-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
14 Hectors SJ, Bane O, Kennedy P, El Salem F, Menon M, Segall M, Khaim R, Delaney V, Lewis S, Taouli B. T mapping for assessment of renal allograft fibrosis. J Magn Reson Imaging 2019;50:1085-91. [PMID: 30666744 DOI: 10.1002/jmri.26656] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 2.7] [Reference Citation Analysis]
15 Li S, Sun X, Chen M, Ying Z, Wan Y, Pi L, Ren B, Cao Q. Liver Fibrosis Conventional and Molecular Imaging Diagnosis Update. J Liver 2019;8:236. [PMID: 31341723] [Reference Citation Analysis]
16 Mathew RP, Venkatesh SK. Imaging of Hepatic Fibrosis. Curr Gastroenterol Rep 2018;20. [DOI: 10.1007/s11894-018-0652-7] [Cited by in Crossref: 24] [Cited by in F6Publishing: 21] [Article Influence: 6.0] [Reference Citation Analysis]
17 Serai SD, Trout AT, Miethke A, Diaz E, Xanthakos SA, Dillman JR. Putting it all together: established and emerging MRI techniques for detecting and measuring liver fibrosis. Pediatr Radiol. 2018;48:1256-1272. [PMID: 30078038 DOI: 10.1007/s00247-018-4083-2] [Cited by in Crossref: 22] [Cited by in F6Publishing: 21] [Article Influence: 5.5] [Reference Citation Analysis]
18 Petitclerc L, Gilbert G, Nguyen BN, Tang A. Liver Fibrosis Quantification by Magnetic Resonance Imaging. Top Magn Reson Imaging 2017;26:229-41. [PMID: 28858038 DOI: 10.1097/RMR.0000000000000149] [Cited by in Crossref: 24] [Cited by in F6Publishing: 29] [Article Influence: 6.0] [Reference Citation Analysis]
19 Li RK, Ren XP, Yan FH, Qiang JW, Lin HM, Tao Wang, Zhao HF, Chen WB. Liver fibrosis detection and staging: a comparative study of T1ρ MR imaging and 2D real-time shear-wave elastography. Abdom Radiol (NY) 2018;43:1713-22. [PMID: 29198003 DOI: 10.1007/s00261-017-1381-3] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 3.5] [Reference Citation Analysis]
20 Wáng YXJ, Deng M, Lo GG, Liang D, Yuan J, Chen W. Breath-hold black-blood T1rho mapping improves liver T1rho quantification in healthy volunteers. Acta Radiol 2018;59:257-65. [PMID: 28679324 DOI: 10.1177/0284185117717764] [Cited by in Crossref: 10] [Cited by in F6Publishing: 13] [Article Influence: 2.5] [Reference Citation Analysis]
21 Wáng YXJ, Deng M, Lin J, Kwok AWL, Liu EKW, Chen W. Age- and Gender-Associated Liver Physiological T1rho Dynamics Demonstrated with a Clinically Applicable Single-Breathhold Acquisition. SLAS Technol 2018;23:179-87. [PMID: 29241024 DOI: 10.1177/2472630317747198] [Cited by in Crossref: 3] [Cited by in F6Publishing: 9] [Article Influence: 0.6] [Reference Citation Analysis]
22 Chen W, Chen X, Yang L, Wang G, Li J, Wang S, Chan Q, Xu D. Quantitative assessment of liver function with whole-liver T1rho mapping at 3.0T. Magn Reson Imaging 2018;46:75-80. [PMID: 29109053 DOI: 10.1016/j.mri.2017.10.009] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 2.6] [Reference Citation Analysis]
23 Wáng YXJ, Chen W, Deng M. How liver pathologies contribute to T1rho contrast require more careful studies. Quant Imaging Med Surg 2017;7:608-13. [PMID: 29184772 DOI: 10.21037/qims.2017.10.02] [Cited by in Crossref: 10] [Cited by in F6Publishing: 14] [Article Influence: 2.0] [Reference Citation Analysis]
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27 Unal E, Idilman IS, Karçaaltıncaba M. Multiparametric or practical quantitative liver MRI: towards millisecond, fat fraction, kilopascal and function era. Expert Rev Gastroenterol Hepatol 2017;11:167-82. [PMID: 27937040 DOI: 10.1080/17474124.2017.1271710] [Cited by in Crossref: 20] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
28 Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A. Liver fibrosis: Review of current imaging and MRI quantification techniques. J Magn Reson Imaging. 2017;45:1276-1295. [PMID: 27981751 DOI: 10.1002/jmri.25550] [Cited by in Crossref: 117] [Cited by in F6Publishing: 129] [Article Influence: 19.5] [Reference Citation Analysis]
29 Koon CM, Zhang X, Chen W, Chu ES, San Lau CB, Wáng YX. Black blood T1rho MR imaging may diagnose early stage liver fibrosis: a proof-of-principle study with rat biliary duct ligation model. Quant Imaging Med Surg 2016;6:353-63. [PMID: 27709071 DOI: 10.21037/qims.2016.08.11] [Cited by in Crossref: 16] [Cited by in F6Publishing: 23] [Article Influence: 2.7] [Reference Citation Analysis]
30 Chen W, Chan Q, Wáng YX. Breath-hold black blood quantitative T1rho imaging of liver using single shot fast spin echo acquisition. Quant Imaging Med Surg 2016;6:168-77. [PMID: 27190769 DOI: 10.21037/qims.2016.04.05] [Cited by in Crossref: 19] [Cited by in F6Publishing: 22] [Article Influence: 3.2] [Reference Citation Analysis]
31 Wáng YX, Zhang Q, Li X, Chen W, Ahuja A, Yuan J. T1ρ magnetic resonance: basic physics principles and applications in knee and intervertebral disc imaging. Quant Imaging Med Surg 2015;5:858-85. [PMID: 26807369 DOI: 10.3978/j.issn.2223-4292.2015.12.06] [Cited by in F6Publishing: 31] [Reference Citation Analysis]