Information de reference pour ce titreAccession Number: | 01445455-201904000-00002.
|
Author: | Schieda, Nicola MD *,1; Davenport, Matthew S. MD, PhD 2; Pedrosa, Ivan MD 3; Shinagare, Atul MD 4; Chandarana, Hersch MD, PhD 5; Curci, Nicole MD 2; Doshi, Ankur MD 5; Israel, Gary MD 6; Remer, Erick MD 7; Wang, Jane MD 8; Silverman, Stuart G. MD 4
|
Institution: | (1) Department of Medical Imaging From the University of Ottawa, Ottawa Hospital Ottawa Ontario Canada (2) Department of Radiology Michigan University Ann Arbor Michigan USA (3) Department of Radiology UT Southwestern Dallas Texas USA (4) Department of Radiology Brigham and Women's Hospital Boston Massachusetts USA (5) Department of Radiology NYU School of Medicine New York New York USA (6) Department of Radiology Yale University New Haven Connecticut USA (7) Department Radiology and Diagnostic Imaging Cleveland Clinic Cleveland Ohio USA (8) Department of Radiology UCSF San Francisco, California USA
|
Title: | |
Source: | Journal of Magnetic Resonance Imaging. 49(4):917-926, April 2019.
|
Author Keywords: | fat; lipid; renal; adrenal; carcinoma; magnetic resonance imaging; MRI.
|
References: | 1. Ramamurthy NK, Moosavi B, McInnes MD, Flood TA, Schieda N. Multiparametric MRI of solid renal masses: Pearls and pitfalls. Clin Radiol 2015;70:304-316.
2. Schieda N, Siegelman ES. Update on CT and MRI of adrenal nodules. AJR Am J Roentgenol 2017;208:1206-1217.
3. Jinzaki M, Silverman SG, Akita H, Nagashima Y, Mikami S, Oya M. Renal angiomyolipoma: A radiological classification and update on recent developments in diagnosis and management. Abdom Imaging 2014;39:588-604.
4. Bosniak MA. Angiomyolipoma (hamartoma) of the kidney: A preoperative diagnosis is possible in virtually every case. Urol Radiol 1981;3:135-142.
5. Israel GM, Bosniak MA. How I do it: Evaluating renal masses. Radiology 2005;236:441-450.
6. Elsayes KM, Mukundan G, Narra VR, et al. Adrenal masses: MR imaging features with pathologic correlation. Radiographics 2004;24(Suppl 1):S73-86.
7. Schieda N, Al Dandan O, Kielar AZ, Flood TA, McInnes MD, Siegelman ES. Pitfalls of adrenal imaging with chemical shift MRI. Clin Radiol 2014;69:1186-1197.
8. Taner AT, Schieda N, Siegelman ES. Pitfalls in adrenal imaging. Semin Roentgenol 2015;50:260-272.
9. Lim RS, Flood TA, McInnes MD, Lavallee LT, Schieda N. Renal angiomyolipoma without visible fat: Can we make the diagnosis using CT and MRI? Eur Radiol 2018;28:542-553.
10. Siegelman ES. Adrenal MRI: Techniques and clinical applications. J Magn Reson Imaging 2012;36:272-285.
11. Hakim SW, Schieda N, Hodgdon T, McInnes MD, Dilauro M, Flood TA. Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation. Eur Radiol 2016;26:592-600.
12. Gurr MI, Harwood J, Frayn KN. Lipid biochemistry: An introduction. New York: John Wiley & Sons; 2002.
13. Del Grande F, Santini F, Herzka DA, et al. Fat-suppression techniques for 3-T MR imaging of the musculoskeletal system. Radiographics 2014;34:217-233.
14. Zhang J, Pedrosa I, Rofsky NM. MR techniques for renal imaging. Radiol Clin N Am 2003;41:877-907.
15. Merkle EM, Nelson RC. Dual gradient-echo in-phase and opposed-phase hepatic MR imaging: A useful tool for evaluating more than fatty infiltration or fatty sparing. Radiographics 2006;26:1409-1418.
16. Adam SZ, Nikolaidis P, Horowitz JM, et al. Chemical shift MR imaging of the adrenal gland: Principles, pitfalls, and applications. Radiographics 2016;36:414-432.
17. Israel GM, Hindman N, Hecht E, Krinsky G. The use of opposed-phase chemical shift MRI in the diagnosis of renal angiomyolipomas. AJR Am J Roentgenol 2005;184:1868-1872.
18. Schieda N, Avruch L, Flood TA. Small (<1 cm) incidental echogenic renal cortical nodules: Chemical shift MRI outperforms CT for confirmatory diagnosis of angiomyolipoma (AML). Insights Imaging 2014;5:295-299.
19. Rosenkrantz AB, Raj S, Babb JS, Chandarana H. Comparison of 3D two-point Dixon and standard 2D dual-echo breath-hold sequences for detection and quantification of fat content in renal angiomyolipoma. Eur J Radiol 2012;81:47-51.
20. Outwater EK, Bhatia M, Siegelman ES, Burke MA, Mitchell DG. Lipid in renal clear cell carcinoma: Detection on opposed-phase gradient-echo MR images. Radiology 1997;205:103-107.
21. Outwater EK, Mitchell DG. Differentiation of adrenal masses with chemical shift MR imaging. Radiology 1994;193:877-878.
22. Outwater EK, Siegelman ES, Radecki PD, Piccoli CW, Mitchell DG. Distinction between benign and malignant adrenal masses: Value of T1-weighted chemical-shift MR imaging. AJR Am J Roentgenol 1995;165:579-583.
23. Schieda N, Kiezlar AZ, Al Dandan O, McInnes MD, Flood TA. Ten uncommon and unusual variants of renal angiomyolipoma (AML): Radiologic-pathologic correlation. Clin Radiol 2015;70:206-220.
24. Helenon O, Merran S, Paraf F, et al. Unusual fat-containing tumors of the kidney: A diagnostic dilemma. Radiographics 1997;17:129-144.
25. D'Angelo PC, Gash JR, Horn AW, Klein FA. Fat in renal cell carcinoma that lacks associated calcifications. AJR Am J Roentgenol 2002;178:931-932.
26. Schuster TG, Ferguson MR, Baker DE, Schaldenbrand JD, Solomon MH. Papillary renal cell carcinoma containing fat without calcification mimicking angiomyolipoma on CT. AJR Am J Roentgenol 2004;183:1402-1404.
27. Richmond L, Atri M, Sherman C, Sharir S. Renal cell carcinoma containing macroscopic fat on CT mimics an angiomyolipoma due to bone metaplasia without macroscopic calcification. Br J Radiol 2010;83:e179-181.
28. Heye S, Woestenborghs H, Van Kerkhove F, Oyen R. Adrenocortical carcinoma with fat inclusion: Case report. Abdom Imaging 2005;30:641-643.
29. Egbert N, Elsayes KM, Azar S, Caoili EM. Computed tomography of adrenocortical carcinoma containing macroscopic fat. Cancer Imaging 2010;10:198-200.
30. Kenney PJ, Wagner BJ, Rao P, Heffess CS. Myelolipoma: CT and pathologic features. Radiology 1998;208:87-95.
31. Shaaban AM, Rezvani M, Tubay M, Elsayes KM, Woodward PJ, Menias CO. Fat-containing retroperitoneal lesions: Imaging characteristics, localization, and differential diagnosis. Radiographics 2016;36:710-734.
32. Blake MA, Kalra MK, Maher MM, et al. Pheochromocytoma: An imaging chameleon. Radiographics 2004;24(Suppl 1):S87-99.
33. Newhouse JH, Heffess CS, Wagner BJ, Imray TJ, Adair CF, Davidson AJ. Large degenerated adrenal adenomas: Radiologic-pathologic correlation. Radiology 1999;210:385-391.
34. Montone KT, Rosen M, Siegelman ES, Fogt F, Livolsi VA. Adrenocortical neoplasms with myelolipomatous and lipomatous metaplasia: Report of 3 cases. Endocr Pract 2009;15:128-133.
35. Eble JN SG, Epstein JI, Sesterhenn IA. World Health Organization classification of tumors: Pathology and genetics of tumors of the urinary system and male genital organs. World Health Organization Classification of Tumors. Vol. 2013. Lyon, France; 2004.
36. Chen CL, Tang SH, Wu ST, et al. Calcified, minimally fat-contained angiomyolipoma clinically indistinguishable from a renal cell carcinoma. BMC Nephrol 2013;14:160.
37. Cholet C, Eiss D, Cohen D, Verkarre V, Helenon O. Calcified renal angiomyolipoma: A case report. Urology 2016;97:e7-e8.
38. Deeths TM, Melson GL. Calcification in an angiomyolipoma: A case report. J Urol 1975;114:613-614.
39. Ferrozzi F, Bova D. CT and MR demonstration of fat within an adrenal cortical carcinoma. Abdom Imaging 1995;20:272-274.
40. Rofsky NM, Bosniak MA, Megibow AJ, Schlossberg P. Adrenal myelolipomas: CT appearance with tiny amounts of fat and punctate calcification. Urol Radiol 1989;11:148-152.
41. Cornelis F, Tricaud E, Lasserre AS, et al. Routinely performed multiparametric magnetic resonance imaging helps to differentiate common subtypes of renal tumours. Eur Radiol 2014;24:1068-1080.
42. Cornelis F, Grenier N. Multiparametric magnetic resonance imaging of solid renal tumors: A practical algorithm. Semin Ultrasound CT MR 2017;38:47-58.
43. Hindman N, Ngo L, Genega EM, et al. Angiomyolipoma with minimal fat: Can it be differentiated from clear cell renal cell carcinoma by using standard MR techniques? Radiology 2012;265:468-477.
44. Canvasser NE, Kay FU, Xi Y, et al. Diagnostic accuracy of multiparametric magnetic resonance imaging to identify clear cell renal cell carcinoma in cT1a renal masses. J Urol 2017;198:780-786.
45. Sasiwimonphan K, Takahashi N, Leibovich BC, Carter RE, Atwell TD, Kawashima A. Small (<4 cm) renal mass: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma utilizing MR imaging. Radiology 2012;263:160-168.
46. Schieda N, Dilauro M, Moosavi B, et al. MRI evaluation of small (<4cm) solid renal masses: Multivariate modeling improves diagnostic accuracy for angiomyolipoma without visible fat compared with univariate analysis. Eur Radiol 2016;26:2242-2251.
47. Murray CA, Quon M, McInnes MD, et al. Evaluation of T1-weighted MRI to detect intratumoral hemorrhage within papillary renal cell carcinoma as a feature differentiating from angiomyolipoma without visible fat. AJR Am J Roentgenol 2016;207:585-591.
48. Schieda N, Hodgdon T, El-Khodary M, Flood TA, McInnes MD. Unenhanced CT for the diagnosis of minimal-fat renal angiomyolipoma. AJR Am J Roentgenol 2014;203:1236-1241.
49. Hodgdon T MM, Schieda N, Lamb L, Flood TA, Thornhill R. Quantitative CT texture analysis: Can it differentiate between minimal fat renal angiomyolipoma (mfAML) and renal cell carcinoma on non-contrast enhanced computed tomography (NECT)? Radiology 2015;276:787-796.
50. Sun MR, Ngo L, Genega EM, et al. Renal cell carcinoma: Dynamic contrast-enhanced MR imaging for differentiation of tumor subtypes-Correlation with pathologic findings. Radiology 2009;250:793-802.
51. Herts BR, Coll DM, Novick AC, et al. Enhancement characteristics of papillary renal neoplasms revealed on triphasic helical CT of the kidneys. AJR Am J Roentgenol 2002;178:367-372.
52. Kim JK, Kim SH, Jang YJ, et al. Renal angiomyolipoma with minimal fat: Differentiation from other neoplasms at double-echo chemical shift FLASH MR imaging. Radiology 2006;239:174-180.
53. Jhaveri KS, Elmi A, Hosseini-Nik H, et al. Predictive value of chemical-shift MRI in distinguishing clear cell renal cell carcinoma from non-clear cell renal cell carcinoma and minimal-fat angiomyolipoma. AJR Am J Roentgenol 2015;205:W79-86.
54. Ferre R, Cornelis F, Verkarre V, et al. Double-echo gradient chemical shift MR imaging fails to differentiate minimal fat renal angiomyolipomas from other homogeneous solid renal tumors. Eur J Radiol 2015;84:360-365.
55. Chen LS, Zhu ZQ, Wang ZT, et al. Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: A meta-analysis. Eur Radiol 2018;28:1854-1861.
56. Gabriel H, Pizzitola V, McComb EN, Wiley E, Miller FH. Adrenal lesions with heterogeneous suppression on chemical shift imaging: Clinical implications. J Magn Reson Imaging 2004;19:308-316.
57. Schwartz LH, Macari M, Huvos AG, Panicek DM. Collision tumors of the adrenal gland: Demonstration and characterization at MR imaging. Radiology 1996;201:757-760.
58. Haider MA, Ghai S, Jhaveri K, Lockwood G. Chemical shift MR imaging of hyperattenuating (>10 HU) adrenal masses: Does it still have a role? Radiology 2004;231:711-716.
59. Weiss LM, Medeiros LJ, Vickery AL Jr. Pathologic features of prognostic significance in adrenocortical carcinoma. Am J Surg Pathol 1989;13:202-206.
60. Blake MA, Krishnamoorthy SK, Boland GW, et al. Low-density pheochromocytoma on CT: A mimicker of adrenal adenoma. AJR Am J Roentgenol 2003;181:1663-1668.
61. Schieda N, Alrashed A, Flood TA, Samji K, Shabana W, McInnes MD. Comparison of quantitative MRI and CT washout analysis for differentiation of adrenal pheochromocytoma from adrenal adenoma. AJR Am J Roentgenol 2016;206:1141-1148.
62. Borhani AA, Hosseinzadeh K. Quantitative versus qualitative methods in evaluation of T2 signal intensity to improve accuracy in diagnosis of pheochromocytoma. AJR Am J Roentgenol 2015;205:302-310.
63. Choi YA, Kim CK, Park BK, Kim B. Evaluation of adrenal metastases from renal cell carcinoma and hepatocellular carcinoma: Use of delayed contrast-enhanced CT. Radiology 2013;266:514-520.
64. Schieda N, Krishna S, McInnes MD, et al. Utility of MRI to differentiate clear cell renal cell carcinoma adrenal metastases from adrenal adenomas. AJR Am J Roentgenol 2017;209:W152-W159.
65. Sasaguri K, Takahashi N, Takeuchi M, Carter RE, Leibovich BC, Kawashima A. Differentiation of benign from metastatic adrenal masses in patients with renal cell carcinoma on contrast-enhanced CT. AJR Am J Roentgenol 2016;207:1031-1038.
66. Qiu B, Ackerman D, Sanchez DJ, et al. HIF2alpha-dependent lipid storage promotes endoplasmic reticulum homeostasis in clear-cell renal cell carcinoma. Cancer Discov 2015;5:652-667.
67. Kay FU, Canvasser NE, Xi Y, et al. Diagnostic performance and interreader agreement of a standardized MR imaging approach in the prediction of small renal mass histology. Radiology 2018;287:543-553.
68. Karlo CA, Donati OF, Burger IA, et al. MR imaging of renal cortical tumours: Qualitative and quantitative chemical shift imaging parameters. Eur Radiol 2013;23:1738-1744.
69. Schieda N, van der Pol CB, Moosavi B, McInnes MD, Mai KT, Flood TA. Intracellular lipid in papillary renal cell carcinoma (RCC) at chemical-shift MRI: Radiologic-pathologic correlation. Eur Radiol 2015;25:2134-2142.
70. Dixon WT. Simple proton spectroscopic imaging. Radiology 1984;153:189-194.
71. Reeder SB, Sirlin CB. Quantification of liver fat with magnetic resonance imaging. Magn Reson Imaging Clin N Am 2010;18:337-357, ix.
72. Reeder SB, McKenzie CA, Pineda AR, et al. Water-fat separation with IDEAL gradient-echo imaging. J Magn Reson Imaging 2007;25:644-652.
73. Reeder SB, Wen Z, Yu H, et al. Multicoil Dixon chemical species separation with an iterative least-squares estimation method. Magn Reson Med 2004;51:35-45.
74. Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB. Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med 2008;60:1122-1134.
75. Costa DN, Pedrosa I, McKenzie C, Reeder SB, Rofsky NM. Body MRI using IDEAL. AJR Am J Roentgenol 2008;190:1076-1084.
76. Zhang Y, Udayakumar D, Cai L, et al. Addressing metabolic heterogeneity in clear cell renal cell carcinoma with quantitative Dixon MRI. JCI Insight 2017;2:15.
77. van Zijl PC, Jones CK, Ren J, Malloy CR, Sherry AD. MRI detection of glycogen in vivo by using chemical exchange saturation transfer imaging (glycoCEST). Proc Natl Acad Sci U S A 2007;104:4359-4364.
|
Language: | English.
|
Document Type: | CME Article.
|
Journal Subset: | Clinical Medicine.
|
ISSN: | 1053-1807
|
DOI Number: | https://dx.doi.org/10.1002/jmri....- ouverture dans une nouvelle fenêtre
|
Annotation(s) | |
|
|