Brief Article
Copyright ©2012 Baishideng. All rights reserved.
World J Gastrointest Surg. Jun 27, 2012; 4(6): 141-145
Published online Jun 27, 2012. doi: 10.4240/wjgs.v4.i6.141
Virtual modeling of robot-assisted manipulations in abdominal surgery
Stanislav V Berelavichus, Grigory G Karmazanovsky, Vadim S Shirokov, Valeriy A Kubyshkin, Andrey G Kriger, Evgeny V Kondratyev, Olga P Zakharova
Stanislav V Berelavichus, Valeriy A Kubyshkin, Andrey G Kriger, Surgery Department of Vishnevsky Institute of Surgery, B. Serpukhovskaya Street, 27, Moscow 117997, Russia
Grigory G Karmazanovsky, Vadim S Shirokov, Evgeny V Kondratyev, Olga P Zakharova, Radiology Department of Vishnevsky Institute of Surgery, B. Serpukhovskaya Street, 27, Moscow 117997, Russia
Author contributions: All authors contributed to this manuscript.
Correspondence to: Grigory G Karmazanovsky, Professor, Radiology Department of Vishnevsky Institute of Surgery, B. Serpukhovskaya Street, 27, Moscow 117997, Russia. karmazanovsky@ixv.ru
Telephone: +7-499-2371048 Fax: +7-499-2370454
Received: June 16, 2011
Revised: June 22, 2012
Accepted: June 24, 2012
Published online: June 27, 2012
Abstract

AIM: To determine the effectiveness of using multidetector computed tomography (MDCT) data in preoperative planning of robot-assisted surgery.

METHODS: Fourteen patients indicated for surgery underwent MDCT using 64 and 256-slice MDCT. Before the examination, a specially constructed navigation net was placed on the patient’s anterior abdominal wall. Processing of MDCT data was performed on a Brilliance Workspace 4 (Philips). Virtual vectors that imitate robotic and assistant ports were placed on the anterior abdominal wall of the 3D model of the patient, considering the individual anatomy of the patient and the technical capabilities of robotic arms. Sites for location of the ports were directed by projection on the roentgen-positive tags of the navigation net.

RESULTS: There were no complications observed during surgery or in the post-operative period. We were able to reduce robotic arm interference during surgery. The surgical area was optimal for robotic and assistant manipulators without any need for reinstallation of the trocars.

CONCLUSION: This method allows modeling of the main steps in robot-assisted intervention, optimizing operation of the manipulator and lowering the risk of injuries to internal organs.

Keywords: Virtual modeling, Robotic surgery, Multidetector computed tomography, Abdominal surgery, Virtual surgery