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Published in: Journal of Robotic Surgery 1/2018

01-03-2018 | Original Article

Robotic video-assisted thoracoscopy: minimally invasive approach for management of mediastinal tumors

Authors: Pejman Radkani, Devendra Joshi, Tushar Barot, Roy Williams

Published in: Journal of Robotic Surgery | Issue 1/2018

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Abstract

In spite of difficult anatomic access for tumors of mediastinum, surgical resection remains the best diagnostic and therapeutic approach. Widespread acceptance of video-assisted thoracoscopy (VATS) is restricted by the limiting nature of instruments and suboptimal visualization. Robotic assisted minimally invasive surgery seems to hold most promise in remote, narrow anatomical regions. After obtaining approval from Institutional Review Board (IRB), a retrospective review of prospectively collected database on patients that underwent Robotic VATS between 2009 and 2013 was conducted. Forty-eight patients underwent RVATS resection of mediastinal tumor. One procedure (2.1%) was converted to open. The size of the mass ranged from 0.6 to 12.5 cm in greatest dimension (mean 5.16 cm). The mean duration of procedure was 127.96 min (60–240 min). Five patients (10.4%) had early postoperative complications including chylothorax (1 patient), new onset atrial fibrillation (1 patient), pleural effusion (1 patient), empyema (1 patient), and bleeding (1 patient). Mean follow-up time was 186 days (10–1300 days). Two patients (4%) with invasive thymoma developed local recurrence. The present study documents the feasibility of RVATS in the management of mediastinal tumors irrespective of the location in various mediastinal compartments. The role for careful and complete excision of the tumor, and surveillance afterward on invasive thymoma, was noted in our study, as in literature.
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Metadata
Title
Robotic video-assisted thoracoscopy: minimally invasive approach for management of mediastinal tumors
Authors
Pejman Radkani
Devendra Joshi
Tushar Barot
Roy Williams
Publication date
01-03-2018
Publisher
Springer London
Published in
Journal of Robotic Surgery / Issue 1/2018
Print ISSN: 1863-2483
Electronic ISSN: 1863-2491
DOI
https://doi.org/10.1007/s11701-017-0692-2

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