Abstract
Background: Renal leiomyoma is a challenging diagnostic and therapeutic condition. Given that 90% of leiomyomas originate from the renal capsule, leiomyoma presenting as a renal parenchymal mass is extraordinarily rare.
Case Presentation: Herein, we report the clinical and imaging features of a patient with renal leiomyoma occurring in the renal parenchyma and mimicking renal cell carcinoma. We also review the clinical, imaging, and histological features of renal leiomyoma.
Conclusion: An initial partial, simple or radical nephrectomy according to tumor size and patient’s underlying condition is suitable for larger, heterogeneous, and non-peripherally located tumors, even if they demonstrate hypointensity on T1- and T2-weighted images, considering the possibility of other diagnoses.
Keywords: Leiomyoma, kidney, kidney neoplasms, multidetector computed tomography, magnetic resonance imaging.
Graphical Abstract
[http://dx.doi.org/10.1148/rg.306105517] [PMID: 21071373]
[http://dx.doi.org/10.2214/AJR.07.2724] [PMID: 18094306]
[http://dx.doi.org/10.1007/s00261-012-9903-5] [PMID: 22581271]
[http://dx.doi.org/10.3348/jkrs.1999.40.6.1193]
[http://dx.doi.org/10.1016/S0022-5347(17)40163-7] [PMID: 2184259]
[http://dx.doi.org/10.5489/cuaj.11159] [PMID: 22511443]
[http://dx.doi.org/10.1016/j.urology.2005.06.078] [PMID: 16360467]
[http://dx.doi.org/10.22465/kjuo.2016.14.3.130]
[http://dx.doi.org/10.1007/s00261-017-1097-4] [PMID: 28260171]
[http://dx.doi.org/10.4103/2156-7514.120776] [PMID: 24228211]
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