Literature DB >> 26867923

Update on the imaging of malignant perivascular epithelioid cell tumors (PEComas).

Catherine H Phillips1, Abhishek R Keraliya1,2, Atul B Shinagare1,2, Nikhil H Ramaiya1,2, Sree Harsha Tirumani3,4.   

Abstract

Malignant perivascular epithelioid cell tumors (PEComas) are a histologic group of mesenchymal neoplasms that share a distinctive histological phenotype, the perivascular epithelioid cell. These tumors are known for their perivascular distribution. Malignant PEComas have a female predominance and are associated with aggressive disease and poor prognosis, making timely diagnosis critical to management. Imaging features of malignant PEComas are nonspecific and mimic other benign and malignant neoplasms. Surgery is the mainstay in the management of malignant PEComas. Promising novel molecular targeted therapies like m-TOR inhibitors have been shown to be effective in the metastatic setting. The aim of this review is to familiarize radiologists with the imaging appearances of and potential therapies for primary and metastatic malignant PEComa.

Entities:  

Keywords:  CT; MRI; Malignant PEComa; PET/CT

Mesh:

Year:  2016        PMID: 26867923     DOI: 10.1007/s00261-015-0568-8

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  3 in total

1.  Unresectable hepatic PEComa: a rare malignancy treated with stereotactic body radiation therapy (SBRT) followed by complete resection.

Authors:  Simon Kirste; Gian Kayser; Anne Zipfel; Anca-Ligia Grosu; Thomas Brunner
Journal:  Radiat Oncol       Date:  2018-02-20       Impact factor: 3.481

2.  Malignant perivascular epithelioid cell tumor of the ileum on 18F-fluorodeoxyglucose positron emission tomography/ computed tomography with pathological correlation.

Authors:  Jeeban Paul Das; Jad Bou-Ayache; Marc J Gollub; Christopher C Riedl; Gary A Ulaner
Journal:  World J Nucl Med       Date:  2020-10-23

3.  Liver Perivascular Epithelioid Cell Tumor with an Unusual Location: Diagnostic Characteristics with Multidetector Computed Tomography and Magnetic Resonance Imaging.

Authors:  Koray Hekimoglu; Murat Haberal
Journal:  J Clin Imaging Sci       Date:  2017-09-18
  3 in total

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