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2023 Vol.4, Issue 1 Preview Page

Review article

31 March 2023. pp. 7-14
Abstract
References
1
Sim KC, Ultrasonography of acute flank pain: a focus on renal stones and acute pyelonephritis, Ultrasonography, 2018 10.14366/usg.1705129382187PMC6177687
2
Park BK, Ultrasound-guided genitourinary interventions: principles and techniques, Ultrasonography, 2017 10.14366/usg.1702628736429PMC5621800
3
Cova M, Diagnostic imaging of chronic renal infections and renal infections in diabetes, Radiol Med, 2003
4
Tamburrini S et al., Pyonephrosis Ultrasound and Computed Tomography Features: A Pictorial Review, Diagnostics (Basel), 2021 10.3390/diagnostics1102033133671431PMC7921924
5
Kay CJ et al., Ultrasonic characteristics of chronic atrophic pyelonephritis, AJR Am J Roentgenol, 1979 10.2214/ajr.132.1.47103402
6
Zulfiqar M et al., Imaging of Renal Infections and Inflammatory Disease, Radiol Clin North Am, 2020 10.1016/j.rcl.2020.05.00432792123
7
Patel PJ, Renal parenchymal disease: histopathologic-sonographic correlation, Urol Int, 1986 10.1159/0002812203538594
8
Page JE et al., Ultrasound findings in renal parenchymal disease: comparison with histological appearances, Clin Radiol, 1994 10.1016/S0009-9260(05)82877-67828393
9
Park BK, Gray-Scale, Color Doppler, Spectral Doppler, and Contrast-Enhanced Renal Artery Ultrasound: Imaging Techniques and Features, J Clin Med, 2022 10.3390/jcm1114396135887726PMC9318477
10
Granata A et al., Doppler ultrasound and renal artery stenosis: An overview, J Ultrasound, 2009 10.1016/j.jus.2009.09.00623397022PMC3567456
11
Li JC et al., Evaluation of renal artery stenosis with hemodynamic parameters of Doppler sonography, J Vasc Surg, 2008 10.1016/j.jvs.2008.03.04818644479
12
Silverman SG et al., Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessment, Radiology, 2019 10.1148/radiol.201918264631210616PMC6677285
13
Park BK et al., Assessment of cystic renal masses based on Bosniak classification: comparison of CT and contrast-enhanced US, Eur J Radiol, 2007 10.1016/j.ejrad.2006.10.00417097844
14
Park BK, Renal Angiomyolipoma: Radiologic Classification and Imaging Features According to the Amount of Fat, AJR Am J Roentgenol, 2017 10.2214/AJR.17.1797328726505
15
Park BK, Renal Angiomyolipoma Based on New Classification: How to Differentiate It From Renal Cell Carcinoma, AJR Am J Roentgenol, 2019 10.2214/AJR.18.2040830620673
16
Park SG et al., New radiologic classification of renal angiomyolipoma: frequently asked questions, Clin Imaging, 2019 10.1016/j.clinimag.2019.01.02530825810
17
Park BK, Renal Angiomyolipoma: Radiologic Classification and Imaging Features According to the Amount of Fat, American Journal of Roentgenology, 2017 10.2214/AJR.17.1797328726505
18
Sim JS et al., Differentiation of small hyperechoic renal cell carcinoma from angiomyolipoma: computer- aided tissue echo quantification, Journal of Ultrasound in Medicine, 1999 10.7863/jum.1999.18.4.26110206212
19
Lee MS et al., Ultrasonographic Differentiation of Small Angiomyolipoma from Renal Cell Carcinoma by Measuring Relative Echogenicity on PACS, Ultrasonography, 2010
20
Sidhar K et al., Renal Cell Carcinomas: Sonographic Appearance Depending on Size and Histologic Type, J Ultrasound Med, 2016 10.7863/ultra.15.0305126740493
21
Algin O et al., Hypertrophic columns of bertin: imaging findings, Eurasian J Med, 2014 10.5152/eajm.2014.1225610298PMC4261443
22
Indiran V, Magnetic resonance imaging as problem-solving tool in renal pseudotumor in chronic kidney disease: A case of nodular compensatory hypertrophy, Indian J Nephrol, 2016 10.4103/0971-4065.17714027942185PMC5131392
23
Koratala A et al., Kidney hump, no need to jump!, Clin Case Rep, 2018 10.1002/ccr3.163330147922PMC6099045
24
Zebedin D et al., Criteria for ultrasound differentiation of small angiomyolipomas (< or = 3 cm) and renal cell carcinomas, Rofo, 1998
25
Siegel CL et al., Angiomyolipoma and renal cell carcinoma: US differentiation, Radiology, 1996 10.1148/radiology.198.3.86288738628873
26
Park KJ et al., Sonographic Features of Small (< 4 cm) Renal Tumors With Low Signal Intensity on T2-Weighted MR Images: Differentiating Minimal-Fat Angiomyolipoma From Renal Cell Carcinoma, AJR Am J Roentgenol, 2018 10.2214/AJR.17.1890930040467
27
Park BK et al., Characterization of renal cell carcinoma using agent detection imaging: comparison with gray-scale US, Korean J Radiol, 2005 10.3348/kjr.2005.6.3.17316145293PMC2685041
28
Kay FU et al., Imaging of Solid Renal Masses, Radiol Clin North Am, 2017 10.1016/j.rcl.2016.10.00328126214PMC5607740
29
Habboub HK et al., Accuracy of color Doppler sonography in assessing venous thrombus extension in renal cell carcinoma, AJR Am J Roentgenol, 1997 10.2214/ajr.168.1.89769588976958
Information
  • Publisher :The Association of Korean Urologists
  • Publisher(Ko) :대한비뇨의학과의사회
  • Journal Title :비뇨의학 Urology Digest
  • Volume : 4
  • No :1
  • Pages :7-14