Ultrasound elastography in chronic kidney disease: a systematic review and meta-analysis.
Chronic kidney disease
Kidney elasticity
Kidney elastography
Shear wave elastography
Transplantation
Ultrasound elastography
Journal
Journal of medical ultrasonics (2001)
ISSN: 1613-2254
Titre abrégé: J Med Ultrason (2001)
Pays: Japan
ID NLM: 101128385
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
received:
16
11
2022
accepted:
07
03
2023
medline:
21
7
2023
pubmed:
15
5
2023
entrez:
15
5
2023
Statut:
ppublish
Résumé
Ultrasound elastography (USE) is a noninvasive technique for assessing tissue elasticity, and its application in nephrology has aroused growing interest in recent years. The purpose of this article is to systematically review the clinical application of USE in patients with chronic kidney disease (CKD), including native and transplanted kidneys, and quantitatively investigate differences in elasticity values between healthy individuals and CKD patients. Furthermore, we provide a qualitative analysis of the studies included, discussing the potential interplay between renal stiffness, estimated glomerular filtration rate, and fibrosis. In January 2022, a systematic search was carried out on the MEDLINE (PubMed) database, concerning studies on the application of USE in patients with CKD, including patients with transplanted kidneys. The results of the included studies were extracted by two independent researchers and presented mainly through a formal narrative summary. A meta-analysis of nine study parts from six studies was performed. A total of 647 studies were screened for eligibility and, after applying the exclusion and inclusion criteria, 69 studies were included, for a total of 6728 patients. The studies proved very heterogeneous in terms of design and results. The shear wave velocity difference of - 0.82 m/s (95% CI: - 1.72-0.07) between CKD patients and controls was not significant. This result agrees with the qualitative evaluation of included studies that found controversial results for the relationship between renal stiffness and glomerular filtration rate. On the contrary, a clear relationship seems to emerge between USE values and the degree of fibrosis. At present, due to the heterogeneity of results and technical challenges, large-scale application in the monitoring of CKD patients remains controversial.
Identifiants
pubmed: 37186192
doi: 10.1007/s10396-023-01304-z
pii: 10.1007/s10396-023-01304-z
doi:
Types de publication
Meta-Analysis
Systematic Review
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
381-415Informations de copyright
© 2023. The Author(s), under exclusive licence to The Japan Society of Ultrasonics in Medicine.
Références
Webster AC, Nagler EV, Morton RL, et al. Chronic kidney disease. Lancet. 2017;389:1238–52.
pubmed: 27887750
doi: 10.1016/S0140-6736(16)32064-5
Kalantar-Zadeh K, Jafar TH, Nitsch D, et al. Chronic kidney disease. Lancet. 2021;398:786–802.
pubmed: 34175022
doi: 10.1016/S0140-6736(21)00519-5
Abramyan S, Hanlon M. Kidney Transplantation. [Updated 2022 Jan 4]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK567755 .
de Fijter JW. Rejection and function and chronic allograft dysfunction. Kidney Int Suppl. 2010;119:S38-41.
doi: 10.1038/ki.2010.421
Joosten SA, Sijpkens YW, van Kooten C, et al. Chronic renal allograft rejection: pathophysiologic considerations. Kidney Int. 2005;68:1–13.
pubmed: 15954891
doi: 10.1111/j.1523-1755.2005.00376.x
Nangaku M. Chronic hypoxia and tubulointerstitial injury: a final common pathway to end-stage renal failure. J Am Soc Nephrol. 2006;17:17–25.
pubmed: 16291837
doi: 10.1681/ASN.2005070757
Panizo S, Martínez-Arias L, Alonso-Montes C, et al. Fibrosis in chronic kidney disease: pathogenesis and consequences. Int J Mol Sci. 2021;22:408.
pubmed: 33401711
pmcid: 7795409
doi: 10.3390/ijms22010408
Dhaun N, Bellamy CO, Cattran DC, et al. Utility of renal biopsy in the clinical management of renal disease. Kidney Int. 2014;85:1039–48.
pubmed: 24402095
doi: 10.1038/ki.2013.512
Solez K, Colvin RB, Racusen LC, et al. Banff 07 classification of renal allograft pathology: updates and future directions. Am J Transplant. 2008;8:753–60.
pubmed: 18294345
doi: 10.1111/j.1600-6143.2008.02159.x
Ferraioli G. Review of liver elastography guidelines. J Ultrasound Med. 2019;38:9–14.
pubmed: 30444274
doi: 10.1002/jum.14856
Sigrist RMS, Liau J, Kaffas AE, et al. Ultrasound elastography: review of techniques and clinical applications. Theranostics. 2017;7:1303–29.
pubmed: 28435467
pmcid: 5399595
doi: 10.7150/thno.18650
Floridi C, Cellina M, Buccimazza G, et al. Ultrasound imaging classifications of thyroid nodules for malignancy risk stratification and clinical management: state of the art. Gland Surg. 2019;8:S233–44.
pubmed: 31559190
pmcid: 6755949
doi: 10.21037/gs.2019.07.01
Iyama T, Sugihara T, Takata T, et al. Renal ultrasound elastography: a review of the previous reports on chronic kidney diseases. Appl Sci. 2021;11:9677.
doi: 10.3390/app11209677
Wang Z, Yang H, Suo C, et al. Application of ultrasound elastography for chronic allograft dysfunction in kidney transplantation. J Ultrasound Med. 2017;36:1759–69.
pubmed: 28503746
doi: 10.1002/jum.14221
Wang L. New insights on the role of anisotropy in renal ultrasonic elastography: from trash to treasure. Med Hypotheses. 2020;143:110–46.
doi: 10.1016/j.mehy.2020.110146
Singh H, Panta OB, Khanal U, et al. Renal cortical elastography: normal values and variations. J Med Ultrasound. 2017;25:215–20.
pubmed: 30065495
pmcid: 6029337
doi: 10.1016/j.jmu.2017.04.003
Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev. 2021;10:89.
pubmed: 33781348
pmcid: 8008539
doi: 10.1186/s13643-021-01626-4
Alan B, Göya C, Aktan A, et al. Renal acoustic radiation force impulse elastography in the evaluation of coronary artery disease. Acta Radiol. 2017;58:156–63.
pubmed: 27012278
doi: 10.1177/0284185116638569
Asano K, Ogata A, Tanaka K, et al. Acoustic radiation force impulse elastography of the kidneys: is shear wave velocity affected by tissue fibrosis or renal blood flow? J Ultrasound Med. 2014;33:793–801.
pubmed: 24764334
doi: 10.7863/ultra.33.5.793
Bob F, Bota S, Sporea I, et al. Relationship between the estimated glomerular filtration rate and kidney shear wave speed values assessed by acoustic radiation force impulse elastography: a pilot study. J Ultrasound Med. 2015;34:649–54.
pubmed: 25792580
doi: 10.7863/ultra.34.4.649
Bob F, Grosu I, Sporea I, et al. Ultrasound-based shear wave elastography in the assessment of patients with diabetic kidney disease. Ultrasound Med Biol. 2017;43:2159–66.
pubmed: 28720285
doi: 10.1016/j.ultrasmedbio.2017.04.019
Bob F, Grosu I, Sporea I, et al. Is kidney stiffness measured using elastography influenced mainly by vascular factors in patients with diabetic kidney disease? Ultrason Imaging. 2018;40:300–9.
pubmed: 29848202
doi: 10.1177/0161734618779789
Cui G, Yang Z, Zhang W, et al. Evaluation of acoustic radiation force impulse imaging for the clinicopathological typing of renal fibrosis. Exp Ther Med. 2014;7:233–5.
pubmed: 24348796
doi: 10.3892/etm.2013.1377
Goya C, Kilinc F, Hamidi C, et al. Acoustic radiation force impulse imaging for evaluation of renal parenchyma elasticity in diabetic nephropathy. AJR Am J Roentgenol. 2015;204:324–9.
pubmed: 25615754
doi: 10.2214/AJR.14.12493
Grosu I, Bob F, Sporea I, et al. Two-dimensional shear-wave elastography for kidney stiffness assessment. Ultrasound Q. 2019;37:144–8.
pubmed: 31166295
doi: 10.1097/RUQ.0000000000000461
Gunduz N, Buz A, Kabaalioglu A. Does early diabetic kidney damage alter renal elasticity? An ultrasound-based, two-dimensional shear wave elastography study. Medeni Med J. 2021;36:209–16.
pubmed: 34915678
pmcid: 8565583
Gungor O, Guzel FB, Sarica MA, et al. Ultrasound elastography evaluations in patient populations with various kidney diseases. Ultrasound Q. 2019;35:169–72.
pubmed: 30601446
doi: 10.1097/RUQ.0000000000000404
Guo LH, Xu HX, Fu HJ, et al. Acoustic radiation force impulse imaging for noninvasive evaluation of renal parenchyma elasticity: preliminary findings. PLoS ONE. 2013;8: e68925.
pubmed: 23874814
pmcid: 3708904
doi: 10.1371/journal.pone.0068925
Hassan K, Loberant N, Abbas N, et al. Shear wave elastography imaging for assessing the chronic pathologic changes in advanced diabetic kidney disease. Ther Clin Risk Manag. 2016;12:1615–22.
pubmed: 27853373
pmcid: 5106220
doi: 10.2147/TCRM.S118465
Hu Q, Wang XY, He HG, et al. Acoustic radiation force impulse imaging for non-invasive assessment of renal histopathology in chronic kidney disease. PLoS ONE. 2014;9: e115051.
pubmed: 25546304
pmcid: 4278890
doi: 10.1371/journal.pone.0115051
Islamoglu MS, Gulcicek S, Seyahi N. Kidney tissue elastography and interstitial fibrosis observed in kidney biopsy. Ren Fail. 2022;44:314–9.
pubmed: 35166179
pmcid: 8856082
doi: 10.1080/0886022X.2022.2035763
Iyama T, Takata T, Koda M, et al. Renal shear wave elastography for the assessment of nephron hypertrophy: a cross-sectional study in chronic kidney disease. J Med Ultrason. 2018;45:571–6.
doi: 10.1007/s10396-018-0866-1
Koc AS, Sumbul HE, Gülümsek E. Increased renal cortical stiffness in patients with advanced diabetic kidney disease. Saudi J Kidney Dis Transpl. 2019;30:138–50.
pubmed: 30804275
doi: 10.4103/1319-2442.252903
Leong SS, Wong JHD, Md Shah MN, et al. Shear wave elastography in the evaluation of renal parenchymal stiffness in patients with chronic kidney disease. Br J Radiol. 2018;91:20180235.
pubmed: 29869920
pmcid: 6223162
doi: 10.1259/bjr.20180235
Leong SS, Wong JHD, Md Shah MN, et al. Comparison of shear wave elastography and conventional ultrasound in assessing kidney function as measured using 51Cr-ethylenediaminetetraacetic acid and 99Tc-dimercaptosuccinic acid. Ultrasound Med Biol. 2019;45:1417–26.
pubmed: 30962016
doi: 10.1016/j.ultrasmedbio.2019.01.024
Leong SS, Wong JHD, Md Shah MN, et al. Shear wave elastography accurately detects chronic changes in renal histopathology. Nephrology (Carlton). 2021;26:38–45.
pubmed: 33058334
doi: 10.1111/nep.13805
Lin HY, Lee YL, Lin KD, et al. Association of renal elasticity and renal function progression in patients with chronic kidney disease evaluated by real-time ultrasound elastography. Sci Rep. 2017;7:43303.
pubmed: 28240304
pmcid: 5327389
doi: 10.1038/srep43303
Liu QY, Duan Q, Fu XH, et al. Value of elastography point quantification in improving the diagnostic accuracy of early diabetic kidney disease. World J Clin Cases. 2019;7:3945–56.
pubmed: 31832396
pmcid: 6906554
doi: 10.12998/wjcc.v7.i23.3945
Makita A, Nagao T, Miyoshi KI, et al. The association between renal elasticity evaluated by real-time tissue elastography and renal fibrosis. Clin Exp Nephrol. 2021;25:981–7.
pubmed: 33963937
doi: 10.1007/s10157-021-02063-2
Menzilcioglu MS, Duymus M, Citil S, et al. Strain wave elastography for evaluation of renal parenchyma in chronic kidney disease. Br J Radiol. 2015;88:20140714.
pubmed: 25806412
pmcid: 4628447
doi: 10.1259/bjr.20140714
Menzilcioglu MS, Duymus M, Citil S, et al. The comparison of resistivity index and strain index values in the ultrasonographic evaluation of chronic kidney disease. Radiol Med. 2016;121:681–7.
pubmed: 27290720
doi: 10.1007/s11547-016-0652-3
Radulescu D, Peride I, Petcu LC, et al. Supersonic shear wave ultrasonography for assessing tissue stiffness in native kidney. Ultrasound Med Biol. 2018;44:2556–68.
pubmed: 30154036
doi: 10.1016/j.ultrasmedbio.2018.07.001
Samir AE, Allegretti AS, Zhu Q, et al. Shear wave elastography in chronic kidney disease: a pilot experience in native kidneys. BMC Nephrol. 2015;16:119.
pubmed: 26227484
pmcid: 4521488
doi: 10.1186/s12882-015-0120-7
Sasaki Y, Hirooka Y, Kawashima H, et al. Measurements of renal shear wave velocities in chronic kidney disease patients. Acta Radiol. 2018;59:884–90.
pubmed: 28949258
doi: 10.1177/0284185117734417
Shi LQ, Sun JW, Miao HH, et al. Comparison of supersonic shear wave imaging-derived renal parenchyma stiffness between diabetes mellitus patients with and without diabetic kidney disease. Ultrasound Med Biol. 2020;46:1630–40.
pubmed: 32404297
doi: 10.1016/j.ultrasmedbio.2020.03.026
Sumbul HE, Koc AS, Demirtas D, et al. Increased renal cortical stiffness obtained by share-wave elastography imaging significantly predicts the contrast-induced nephropathy in patients with preserved renal function. J Ultrasound. 2019;22:185–91.
pubmed: 30877661
pmcid: 6531566
doi: 10.1007/s40477-019-00373-6
Takata T, Koda M, Sugihara T, et al. Renal shear wave velocity by acoustic radiation force impulse did not reflect advanced renal impairment. Nephrology (Carlton). 2016;21:1056–62.
pubmed: 26667380
doi: 10.1111/nep.12701
Wang L, Xia P, Lv K, et al. Assessment of renal tissue elasticity by acoustic radiation force impulse quantification with histopathological correlation: preliminary experience in chronic kidney disease. Eur Radiol. 2014;24:1694–9.
pubmed: 24744199
doi: 10.1007/s00330-014-3162-5
Zhu M, Ma L, Yang W, et al. Elastography ultrasound with machine learning improves the diagnostic performance of traditional ultrasound in predicting kidney fibrosis. J Formos Med Assoc. 2022;121:1062–72.
pubmed: 34452784
doi: 10.1016/j.jfma.2021.08.011
Bob F, Bota S, Sporea I, et al. Kidney shear wave speed values in subjects with and without renal pathology and inter-operator reproducibility of acoustic radiation force impulse elastography (ARFI)–preliminary results. PLoS ONE. 2014;9: e113761.
pubmed: 25426849
pmcid: 4245225
doi: 10.1371/journal.pone.0113761
Bota S, Bob F, Sporea I, et al. Factors that influence kidney shear wave speed assessed by acoustic radiation force impulse elastography in patients without kidney pathology. Ultrasound Med Biol. 2015;41:1–6.
pubmed: 25438855
doi: 10.1016/j.ultrasmedbio.2014.07.023
Koc AS, Sumbul HE. Renal cortical stiffness obtained by shear wave elastography imaging is increased in patients with type 2 diabetes mellitus without diabetic nephropathy. J Ultrasound. 2018;21:279–85.
pubmed: 30051234
pmcid: 6237718
doi: 10.1007/s40477-018-0315-4
Lee A, Joo DJ, Han WK, et al. Renal tissue elasticity by acoustic radiation force impulse: a prospective study of healthy kidney donors. Medicine (Baltimore). 2021;100: e23561.
pubmed: 33545931
doi: 10.1097/MD.0000000000023561
Marticorena GSR, Grossmann M, Lang ST, et al. Full-field-of-view time-harmonic elastography of the native kidney. Ultrasound Med Biol. 2018;44:949–54.
doi: 10.1016/j.ultrasmedbio.2018.01.007
Sandhu RS, Shin J, Wehrli NE, et al. Establishing normal values for shear-wave elastography of the renal cortex in healthy adults. J Med Ultrasound. 2018;26:81–4.
pubmed: 30065524
pmcid: 6029207
doi: 10.4103/JMU.JMU_9_17
Arndt R, Schmidt S, Loddenkemper C, et al. Noninvasive evaluation of renal allograft fibrosis by transient elastography-a pilot study. Transpl Int. 2010;23:871–7.
pubmed: 20158692
Bolboacă SD, Elec FI, Elec AD, et al. Shear-wave elastography variability analysis and relation with kidney allograft dysfunction: a single-center study. Diagnostics (Basel). 2020;10:41.
pubmed: 31941112
doi: 10.3390/diagnostics10010041
Chhajer G, Arunachalam VK, Ramasamy R, et al. Elastography: a surrogate marker of renal allograft fibrosis—quantification by shear-wave technique. Pol J Radiol. 2021;86:e151–6.
pubmed: 33828625
pmcid: 8018265
doi: 10.5114/pjr.2021.104582
Chiocchini ALC, Sportoletti C, Comai G, et al. Correlation between renal cortical stiffness and histological determinants by point shear-wave elastography in patients with kidney transplantation. Prog Transplant. 2017;27:346–53.
pubmed: 29187134
doi: 10.1177/1526924817731882
Early HM, Cheang EC, Aguilera JM, et al. Utility of shear wave elastography for assessing allograft fibrosis in renal transplant recipients: a pilot study. J Ultrasound Med. 2018;37:1455–65.
pubmed: 29143363
doi: 10.1002/jum.14487
Gao J, Min R, Hamilton J, et al. Corticomedullary strain ratio: a quantitative marker for assessment of renal allograft cortical fibrosis. J Ultrasound Med. 2013;32:1769–75.
pubmed: 24065258
doi: 10.7863/ultra.32.10.1769
Gao J, Weitzel W, Rubin JM, et al. Renal transplant elasticity ultrasound imaging: correlation between normalized strain and renal cortical fibrosis. Ultrasound Med Biol. 2013;39:1536–42.
pubmed: 23849389
doi: 10.1016/j.ultrasmedbio.2013.04.007
Gao J, Rubin JM, Weitzel W, et al. Comparison of ultrasound corticomedullary strain with Doppler parameters in assessment of renal allograft interstitial fibrosis/tubular atrophy. Ultrasound Med Biol. 2015;41:2631–9.
pubmed: 26219696
doi: 10.1016/j.ultrasmedbio.2015.06.009
Gao J, Hentel K, Kazam J, et al. Ultrasound strain relaxation time ratio: a quantitative marker for the assessment of cortical inflammation/Edema in renal allografts. Quotient der Ultraschall-Strain-Relaxationszeit: Ein quantitativer Marker für die Bewertung von kortikaler Inflammation/Ödem bei Nierenallotransplantaten. Ultraschall Med. 2016;37:509–15.
pubmed: 26251993
Ghonge NP, Mohan M, Kashyap V, et al. Renal allograft dysfunction: evaluation with shear-wave sonoelastography. Radiology. 2018;288:146–52.
pubmed: 29634441
doi: 10.1148/radiol.2018170577
Gokalp C, Oytun MG, Gunay E, et al. Acoustic radiation force impulse elastography may predict acute rejection in kidney transplantation. Transplant Proc. 2020;52:3097–102.
pubmed: 32507711
doi: 10.1016/j.transproceed.2020.02.174
Grenier N, Poulain S, Lepreux S, et al. Quantitative elastography of renal transplants using supersonic shear imaging: a pilot study. Eur Radiol. 2012;22:2138–46.
pubmed: 22588518
doi: 10.1007/s00330-012-2471-9
He WY, Jin YJ, Wang WP, et al. Tissue elasticity quantification by acoustic radiation force impulse for the assessment of renal allograft function. Ultrasound Med Biol. 2014;40:322–9.
pubmed: 24315391
doi: 10.1016/j.ultrasmedbio.2013.10.003
Järv L, Kull I, Riispere Z, et al. Ultrasound elastography correlations between anthropometrical parameters in kidney transplant recipients. J Investig Med. 2019;67:1137–41.
pubmed: 31127005
doi: 10.1136/jim-2018-000970
Kahn J, Slowinski T, Thomas A, et al. TSI ultrasound elastography for the diagnosis of chronic allograft nephropathy in kidney transplanted patients. J Ultrason. 2013;13:253–62.
pubmed: 26674928
pmcid: 4603225
doi: 10.15557/JoU.2013.0027
Kim BJ, Kim CK, Park JJ. Non-invasive evaluation of stable renal allograft function using point shear-wave elastography. Br J Radiol. 2018;91:20170372.
pubmed: 29022743
doi: 10.1259/bjr.20170372
Lee J, Oh YT, Joo DJ, Ma BG, Lee A-l, Lee JG, Song SH, Kim SU, Jung DC, Chung YE, Kim YS. Acoustic radiation force impulse measurement in renal transplantation. Medicine 2015;94(39):e1590. https://doi.org/10.1097/MD.0000000000001590 .
Lukenda V, Mikolasevic I, Racki S, et al. Transient elastography: a new noninvasive diagnostic tool for assessment of chronic allograft nephropathy. Int Urol Nephrol. 2014;46:1435–40.
pubmed: 24966148
doi: 10.1007/s11255-014-0697-y
Ma MK, Law HK, Tse KS, et al. Non-invasive assessment of kidney allograft fibrosis with shear wave elastography: a radiological-pathological correlation analysis. Int J Urol. 2018;25:450–5.
pubmed: 29444550
doi: 10.1111/iju.13536
Nakao T, Ushigome H, Nakamura T, et al. Evaluation of renal allograft fibrosis by transient elastography (Fibro Scan). Transplant Proc. 2015;47:640–3.
pubmed: 25891702
doi: 10.1016/j.transproceed.2014.12.034
Orlacchio A, Chegai F, Del Giudice C, et al. Kidney transplant: usefulness of real-time elastography (RTE) in the diagnosis of graft interstitial fibrosis. Ultrasound Med Biol. 2014;40:2564–72.
pubmed: 25218454
doi: 10.1016/j.ultrasmedbio.2014.06.002
Qin C, Jin H, Zhang H, et al. Noninvasive assessment of interstitial fibrosis and tubular atrophy in renal transplant by combining point-shear wave elastography and estimated glomerular filtration rate. Diagnostics (Basel). 2021;12:18.
pubmed: 35054186
pmcid: 8774870
doi: 10.3390/diagnostics12010018
Sommerer C, Scharf M, Seitz C, et al. Assessment of renal allograft fibrosis by transient elastography. Transpl Int. 2013;26:545–51.
pubmed: 23383606
doi: 10.1111/tri.12073
Stock KF, Klein BS, Vo Cong MT, et al. ARFI-based tissue elasticity quantification in comparison to histology for the diagnosis of renal transplant fibrosis. Clin Hemorheol Microcirc. 2010;46:139–48.
pubmed: 21135489
doi: 10.3233/CH-2010-1340
Stock KF, Klein BS, Cong MT, et al. ARFI-based tissue elasticity quantification and kidney graft dysfunction: first clinical experiences. Clin Hemorheol Microcirc. 2011;49:527–35.
pubmed: 22214724
doi: 10.3233/CH-2011-1503
Syversveen T, Brabrand K, Midtvedt K, et al. Assessment of renal allograft fibrosis by acoustic radiation force impulse quantification–a pilot study. Transpl Int. 2011;24:100–5.
pubmed: 20819192
doi: 10.1111/j.1432-2277.2010.01165.x
Syversveen T, Midtvedt K, Berstad AE, Brabrand K, Strøm EH, Abildgaard A. Tissue elasticity estimated by acoustic radiation force impulse quantification depends on the applied transducer force: an experimental study in kidney transplant patients. Eur Radiol. 2012;22(10):2130–7. https://doi.org/10.1007/s00330-012-2476-4 .
Tatar IG, Teber MA, Ogur T, et al. Real time sonoelastographic evaluation of renal allografts in correlation with clinical prognostic parameters: comparison of linear and convex transducers according to segmental anatomy. Med Ultrason. 2014;16:229–35.
pubmed: 25110764
Wang HK, Lai YC, Lin YH, et al. Acoustic radiation force impulse imaging of the transplant kidney: correlation between cortical stiffness and arterial resistance in early post-transplant period. Transplant Proc. 2017;49:1001–4.
pubmed: 28583515
doi: 10.1016/j.transproceed.2017.03.045
Yang C, Jin Y, Wu S, et al. Prediction of renal allograft acute rejection using a novel non-invasive model based on acoustic radiation force impulse. Ultrasound Med Biol. 2016;42:2167–79.
pubmed: 27267289
doi: 10.1016/j.ultrasmedbio.2016.05.003
Yang X, Hou FL, Zhao C, et al. The role of real-time shear wave elastography in the diagnosis of idiopathic nephrotic syndrome and evaluation of the curative effect. Abdom Radiol (NY). 2020;45:2508–17.
pubmed: 32107581
doi: 10.1007/s00261-020-02460-3
Hwang J, Kim HW, Kim PH, et al. Technical performance of acoustic radiation force impulse imaging for measuring renal parenchymal stiffness: a systematic review and meta-analysis. J Ultrasound Med. 2021;40:2639–53.
pubmed: 33599306
doi: 10.1002/jum.15654
Gennisson JL, Grenier N, Combe C, et al. Supersonic shear wave elastography of in vivo pig kidney: influence of blood pressure, urinary pressure and tissue anisotropy. Ultrasound Med Biol. 2012;38:1559–67.
pubmed: 22698515
doi: 10.1016/j.ultrasmedbio.2012.04.013
Leong SS, Wong JHD, Md Shah MN, et al. Stiffness and anisotropy effect on shear wave elastography: a phantom and in vivo renal study. Ultrasound Med Biol. 2020;46:34–45.
pubmed: 31594681
doi: 10.1016/j.ultrasmedbio.2019.08.011
Lee SM, Kim MJ, Yoon JH, et al. Comparison of point and 2-dimensional shear wave elastography for the evaluation of liver fibrosis. Ultrasonography. 2020;39:288–97.
pubmed: 32311869
pmcid: 7315295
doi: 10.14366/usg.19090
Bamber J, Cosgrove D, Dietrich CF, et al. EFSUMB guidelines and recommendations on the clinical use of ultrasound elastography. Part 1: Basic principles and technology. Ultraschall Med. 2013;34:169–84.
pubmed: 23558397
doi: 10.1055/s-0033-1335205
Yaprak M, Çakır Ö, Turan MN, et al. Role of ultrasonographic chronic kidney disease score in the assessment of chronic kidney disease. Int Urol Nephrol. 2017;49:123–31.
pubmed: 27796695
doi: 10.1007/s11255-016-1443-4
Lucisano G, Comi N, Pelagi E, et al. Can renal sonography be a reliable diagnostic tool in the assessment of chronic kidney disease? J Ultrasound Med. 2015;34:299–306.
pubmed: 25614403
doi: 10.7863/ultra.34.2.299
Tonneijck L, Muskiet MH, Smits MM, et al. Glomerular hyperfiltration in diabetes: mechanisms, clinical significance, and treatment. J Am Soc Nephrol. 2017;28:1023–39.
pubmed: 28143897
pmcid: 5373460
doi: 10.1681/ASN.2016060666
Qian Y, Feldman E, Pennathur S, et al. From fibrosis to sclerosis: mechanisms of glomerulosclerosis in diabetic nephropathy. Diabetes. 2008;57:1439–45.
pubmed: 18511444
doi: 10.2337/db08-0061
Deffieux T, Gennisson JL, Bousquet L, et al. Investigating liver stiffness and viscosity for fibrosis, steatosis and activity staging using shear wave elastography. J Hepatol. 2015;62:317–24.
pubmed: 25251998
doi: 10.1016/j.jhep.2014.09.020
Moon SK, Kim SY, Cho JY, et al. Quantification of kidney fibrosis using ultrasonic shear wave elastography: experimental study with a rabbit model. J Ultrasound Med. 2015;34:869–77.
pubmed: 25911705
doi: 10.7863/ultra.34.5.869
Derieppe M, Delmas Y, Gennisson JL, et al. Detection of intrarenal microstructural changes with supersonic shear wave elastography in rats. Eur Radiol. 2012;22:243–50.
pubmed: 21845464
doi: 10.1007/s00330-011-2229-9
Liu X, Li N, Xu T, et al. Effect of renal perfusion and structural heterogeneity on shear wave elastography of the kidney: an in vivo and ex vivo study. BMC Nephrol. 2017;18:265.
pubmed: 28789641
pmcid: 5547675
doi: 10.1186/s12882-017-0679-2
Grosu I, Bob F, Sporea I, et al. Assessment of renal vein thrombosis using renal acoustic radiation force impulse (ARFI) imaging in a systemic lupus erythematosus (SLE) patient: a case report. The 17th National Conference of the Romanian Society of Ultrasound in Medicine and Biology. Timisoara, Romania: Congress abstract book. 2014.
Li ZL, Liu BC. Hypoxia and renal tubulointerstitial fibrosis. Adv Exp Med Biol. 2019;1165:467–85.
pubmed: 31399980
doi: 10.1007/978-981-13-8871-2_23
Poznyak A, Grechko AV, Poggio P, et al. The diabetes mellitus-atherosclerosis connection: the role of lipid and glucose metabolism and chronic inflammation. Int J Mol Sci. 2020;21:1835.
pubmed: 32155866
pmcid: 7084712
doi: 10.3390/ijms21051835
Kashani KB, Mao SA, Safadi S, et al. Association between kidney intracapsular pressure and ultrasound elastography. Crit Care. 2017;21:251.
pubmed: 29047410
pmcid: 5648471
doi: 10.1186/s13054-017-1847-2