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Three-dimensional computed tomography reconstruction for operative planning in robotic segmentectomy: a pilot study.

Authors :
Le Moal J
Peillon C
Dacher JN
Baste JM
Source :
Journal of thoracic disease [J Thorac Dis] 2018 Jan; Vol. 10 (1), pp. 196-201.
Publication Year :
2018

Abstract

Background: The objective of our pilot study was to assess if three-dimensional (3D) reconstruction performed by Visible Patientâ„¢ could be helpful for the operative planning, efficiency and safety of robot-assisted segmentectomy.<br />Methods: Between 2014 and 2015, 3D reconstructions were provided by the Visible Patientâ„¢ online service and used for the operative planning of robotic segmentectomy. To obtain 3D reconstruction, the surgeon uploaded the anonymized computed tomography (CT) image of the patient to the secured Visible Patientâ„¢ server and then downloaded the model after completion.<br />Results: Nine segmentectomies were performed between 2014 and 2015 using a pre-operative 3D model. All 3D reconstructions met our expectations: anatomical accuracy (bronchi, arteries, veins, tumor, and the thoracic wall with intercostal spaces), accurate delimitation of each segment in the lobe of interest, margin resection, free space rotation, portability (smartphone, tablet) and time saving technique.<br />Conclusions: We have shown that operative planning by 3D CT using Visible Patientâ„¢ reconstruction is useful in our practice of robot-assisted segmentectomy. The main disadvantage is the high cost. Its impact on reducing complications and improving surgical efficiency is the object of an ongoing study.<br />Competing Interests: Conflicts of Interest: JM Baste discloses fees for lecturing and proctoring for Intuitive Surgical. This work was presented at the French Thoracic and Cardio-Vascular Society autumn 2017 meeting.

Details

Language :
English
ISSN :
2072-1439
Volume :
10
Issue :
1
Database :
MEDLINE
Journal :
Journal of thoracic disease
Publication Type :
Academic Journal
Accession number :
29600049
Full Text :
https://doi.org/10.21037/jtd.2017.11.144