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BPL: AML management

References

1. Eble JN. Angiomyolipoma of kidney. Semin Diagn Pathol. 1998;15(1):21-40
2. Fujii Y, Ajima J, Oka K, Tosaka A, Takehara Y. Benign renal tumors detected among healthy
adults by abdominal ultrasonography. Eur Urol. 1995;27(2):124‐127. doi:10.1159/000475142
3. Oesterling JE, Fishman EK, Goldman SM, Marshall FF. The management of renal
angiomyolipoma. J Urol. 1986;135(6):1121‐1124. doi:10.1016/s0022-5347(17)46013-7
4. Nelson CP, Sanda MG. Contemporary diagnosis and management of renal angiomyolipoma. J
Urol. 2002;168(4 Pt 1):1315‐1325. doi:10.1097/01.ju.0000028200.86216.b2
5. Bhatt JR, Richard PO, Kim NS, et al. Natural History of Renal Angiomyolipoma (AML): Most
Patients with Large AMLs >4cm Can Be Offered Active Surveillance as an Initial Management
Strategy. Eur Urol. 2016;70(1):85‐90. doi:10.1016/j.eururo.2016.01.048
6. Tchaprassian Z, Mognato G, Paradias G, D'Amore ES, Tregnaghi A, Cecchetto G. Renal
angiomyolipoma in children: diagnositc difficulty in 3 patients. J Urol. 1998;159(5):1654‐1656.
doi:10.1097/00005392-199805000-00083
7. Hartman DS, Goldman SM, Friedman AC, Davis CJ Jr, Madewell JE, Sherman JL.
Angiomyolipoma: ultrasonic-pathologic correlation. Radiology. 1981;139(2):451-458.
doi:10.1148/radiology.139.2.7220890
8. Forman HP, Middleton WD, Melson GL, McClennan BL. Hyperechoic renal cell carcinomas:
increase in detection at US. Radiology. 1993;188(2):431-434.
doi:10.1148/radiology.188.2.8327692
9. Kim JK, Park SY, Shon JH, Cho KS. Angiomyolipoma with minimal fat: differentiation from
renal cell carcinoma at biphasic helical CT. Radiology. 2004;230(3):677-684.
doi:10.1148/radiol.2303030003
10. Ascenti G, Zimbaro G, Mazziotti S, Gaeta M, Settineri N, Scribano E. Usefulness of power
Doppler and contrast-enhanced sonography in the differentiation of hyperechoic renal
masses. Abdom Imaging. 2001;26(6):654-660. doi:10.1007/s00261-001-0025-8
11. Lemaitre L, Claudon M, Dubrulle F, Mazeman E. Imaging of angiomyolipomas. Semin
Ultrasound CT MR. 1997;18(2):100‐114. doi:10.1016/s0887-2171(97)90054-8
12. Kurosaki Y, Tanaka Y, Kuramoto K, Itai Y. Improved CT fat detection in small kidney
angiomyolipomas using thin sections and single voxel measurements. J Comput Assist Tomogr.
1993;17(5):745-748. doi:10.1097/00004728-199309000-00015
13. Bosniak MA, Megibow AJ, Hulnick DH, Horii S, Raghavendra BN. CT diagnosis of renal
angiomyolipoma: the importance of detecting small amounts of fat. AJR Am J Roentgenol.
1988;151(3):497‐501. doi:10.2214/ajr.151.3.497
14. Woo S, Suh CH, Kim SY, Cho JY, Kim SH. Diagnostic Performance of Prostate Imaging
Reporting and Data System Version 2 for Detection of Prostate Cancer: A Systematic Review
and Diagnostic Meta-analysis. Eur Urol. 2017;72(2):177-188. doi:10.1016/j.eururo.2017.01.042
15. Israel GM, Bosniak MA, Slywotzky CM, Rosen RJ. CT differentiation of large exophytic renal
angiomyolipomas and perirenal liposarcomas. AJR Am J Roentgenol. 2002;179(3):769‐773.
doi:10.2214/ajr.179.3.1790769
16. Halpenny D, Snow A, McNeill G, Torreggiani WC. The radiological diagnosis and treatment of
renal angiomyolipoma-current status. Clin Radiol. 2010;65(2):99‐108.
doi:10.1016/j.crad.2009.09.014