CC BY-NC-ND 4.0 · Thorac Cardiovasc Surg Rep 2021; 10(01): e42-e44
DOI: 10.1055/s-0041-1723836
Case Report: Thoracic

Robotic Resection of Pulmonary Epithelial Myoepithelial Carcinoma: A Case Report

1  Department of Surgery, University of Miami Miller School of Medicine, Miami, Florida, United States
,
Michael A. Lopez
1  Department of Surgery, University of Miami Miller School of Medicine, Miami, Florida, United States
2  Department of Thoracic Surgery, JFK Medical Center, Atlantis, Florida, United States
,
Tatiana P. Miquel
3  Department of Pathology, JFK Medical Center, Atlantis, Florida, United States
,
Erik Sylvin
1  Department of Surgery, University of Miami Miller School of Medicine, Miami, Florida, United States
2  Department of Thoracic Surgery, JFK Medical Center, Atlantis, Florida, United States
› Author Affiliations

Abstract

Background Pulmonary epithelial–myoepithelial carcinoma (P-EMC) is an extremely rare, well-differentiated, and malignant neoplasm originating from submucosal bronchial glands in the lung. EMCs arise mainly in the salivary glands.

Case Description This case represents an asymptomatic 78-year-old male with a remote 75-pack-year history of smoking who presents with a solitary endobronchial lesion, which is suggestive of a primary lung EMC, detected on annual screening chest computed tomography (CT) scan.

Conclusion A recent review of literature reveals less than 50 documented cases of the pulmonary subtype of this tumor worldwide. We are reporting a unique case of robot-assisted pulmonary lobectomy for a P-EMC.

Disclaimer

This research was supported (in whole or in part) by HCA Healthcare and/or an HCA Healthcare affiliated entity. The views expressed in this publication represent those of the author(s) and do not necessarily represent the official views of HCA Healthcare or any of its affiliated entities.




Publication History

Received: 19 September 2020

Accepted: 28 October 2020

Publication Date:
27 June 2021 (online)

© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany