@inproceedings{8f58e256d8734a50927dae892acc242c,
title = "Choosing Statistically Safe, Variable-Thickness Margins in Robot-Assisted Partial Nephrectomy",
abstract = "In robot-Assisted partial nephrectomy, kidney tumors are removed surgically, along with a margin of healthy tissue around the tumor. This margin is taken to prevent positive margins (i.e.Tumor tissue accidentally left behind). Yet it is desirable to minimize the thickness of the margin, since the effectiveness of post-surgery kidney function is related to the volume of kidney tissue preserved. In this paper we use statistical information on robot-mediated surface-based registration to select variable-Thickness margins that optimally account for registration uncertainty. These margins can then be displayed in the surgeon console to provide enhanced information to the surgeon during robotic partial nephrectomy.",
keywords = "Image Guidance, Partial Nephrectomy, Robotic Surgery",
author = "Michael Siebold and James Ferguson and Bryn Pitt and Nicholas Kavoussi and Naren Nimmagadda and Duke Herrell and Webster, \{Robert J.\}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Symposium on Medical Robotics, ISMR 2020 ; Conference date: 18-11-2020 Through 20-11-2020",
year = "2020",
month = nov,
day = "18",
doi = "10.1109/ISMR48331.2020.9312947",
language = "English",
series = "2020 International Symposium on Medical Robotics, ISMR 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "152--158",
booktitle = "2020 International Symposium on Medical Robotics, ISMR 2020",
}