Literature DB >> 30225532

[Navigated liver surgery : Current state and importance in the future].

K J Oldhafer1,2, M Peterhans3, A Kantas4,5, A Schenk6, G Makridis4,5, S Pelzl7, K C Wagner4,5, S Weber8, G A Stavrou9, M Donati5,10.   

Abstract

The preoperative computer-assisted resection planning is the basis for every navigation. Thanks to modern algorithms, the prerequisites have been created to carry out a virtual resection planning and a risk analysis. Thus, individual segment resections can be precisely planned in any conceivable combination. The transfer of planning information and resection suggestions to the operating theater is still problematic. The so-called stereotactic liver navigation supports the exact intraoperative implementation of the planned resection strategy and provides the surgeon with real-time three-dimensional information on resection margins and critical structures during the resection. This is made possible by a surgical navigation system that measures the position of surgical instruments and then presents them together with the preoperative surgical planning data. Although surgical navigation systems have been indispensable in neurosurgery and spinal surgery for many years, these procedures have not yet become established as standard in liver surgery. This is mainly due to the technical challenge of navigating a moving organ. As the liver is constantly moving and deforming during surgery due to respiration and surgical manipulation, the surgical navigation system must be able to measure these alterations in order to adapt the preoperative navigation data to the current situation. Despite these advances, further developments are required until navigated liver resection enters clinical routine; however, it is already clear that laparoscopic liver surgery and robotic surgery will benefit most from navigation technology.

Keywords:  3D technology; Augmented reality; Liver Resection; Planning; Risk analysis

Mesh:

Year:  2018        PMID: 30225532     DOI: 10.1007/s00104-018-0713-3

Source DB:  PubMed          Journal:  Chirurg        ISSN: 0009-4722            Impact factor:   0.955


  24 in total

1.  Surface registration for use in interactive, image-guided liver surgery.

Authors:  A J Herline; J L Herring; J D Stefansic; W C Chapman; R L Galloway; B M Dawant
Journal:  Comput Aided Surg       Date:  2000

2.  Analysis of vasculature for liver surgical planning.

Authors:  Dirk Selle; Bernhard Preim; Andrea Schenk; Heinz-Otto Peitgen
Journal:  IEEE Trans Med Imaging       Date:  2002-11       Impact factor: 10.048

3.  Graft selection algorithm based on congestion volume for adult living donor liver transplantation.

Authors:  M Asakuma; Y Fujimoto; H Bourquain; K Uryuhara; M Hayashi; N Tanigawa; H-O Peitgen; K Tanaka
Journal:  Am J Transplant       Date:  2007-05-25       Impact factor: 8.086

4.  Feasibility of navigated resection of liver tumors using multiplanar visualization of intraoperative 3-dimensional ultrasound data.

Authors:  Siegfried Beller; Michael Hünerbein; Sebastian Eulenstein; Thomas Lange; Peter M Schlag
Journal:  Ann Surg       Date:  2007-08       Impact factor: 12.969

5.  Evaluation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound.

Authors:  Logan W Clements; Jarrod A Collins; Jared A Weis; Amber L Simpson; Lauryn B Adams; William R Jarnagin; Michael I Miga
Journal:  J Med Imaging (Bellingham)       Date:  2016-03-23

6.  Augmented Reality Navigation Surgery Facilitates Laparoscopic Rescue of Failed Portal Vein Embolization.

Authors:  Claudius Conrad; Matteo Fusaglia; Matthias Peterhans; Huanxiang Lu; Stefan Weber; Brice Gayet
Journal:  J Am Coll Surg       Date:  2016-07-20       Impact factor: 6.113

7.  Fast elastic registration of soft tissues under large deformations.

Authors:  Igor Peterlík; Hadrien Courtecuisse; Robert Rohling; Purang Abolmaesumi; Christopher Nguan; Stéphane Cotin; Septimiu Salcudean
Journal:  Med Image Anal       Date:  2017-12-20       Impact factor: 8.545

8.  Physics-based shape matching for intraoperative image guidance.

Authors:  Stefan Suwelack; Sebastian Röhl; Sebastian Bodenstedt; Daniel Reichard; Rüdiger Dillmann; Thiago dos Santos; Lena Maier-Hein; Martin Wagner; Josephine Wünscher; Hannes Kenngott; Beat P Müller; Stefanie Speidel
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

9.  A multiple microwave ablation strategy in patients with initially unresectable colorectal cancer liver metastases - A safety and feasibility study of a new concept.

Authors:  J Engstrand; H Nilsson; A Jansson; B Isaksson; J Freedman; L Lundell; E Jonas
Journal:  Eur J Surg Oncol       Date:  2014-05-20       Impact factor: 4.424

10.  Donor/recipient algorithm for management of the middle hepatic vein in right graft live donor liver transplantation.

Authors:  A Radtke; G Sgourakis; G C Sotiropoulos; S Beckebaum; E P Molmenti; F H Saner; T Schroeder; S Nadalin; A Schenk; H Lang; M Malagó; C E Broelsch
Journal:  Am J Surg       Date:  2010-01-15       Impact factor: 2.565

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  3 in total

Review 1.  [Robotics and augmented reality : Current state of development and future perspectives].

Authors:  H Feußner; D Ostler; D Wilhelm
Journal:  Chirurg       Date:  2018-10       Impact factor: 0.955

2.  The future of robotic liver surgery.

Authors:  Pier Cristoforo Giulianotti
Journal:  Hepatobiliary Surg Nutr       Date:  2020-08       Impact factor: 7.293

3.  [Surgical Education in the Digital Age - Virtual Reality, Augmented Reality and Robotics in the Medical School].

Authors:  Sebastian Kuhn; Florentine Huettl; Kim Deutsch; Elisa Kirchgässner; Tobias Huber; Werner Kneist
Journal:  Zentralbl Chir       Date:  2021-02-15       Impact factor: 0.942

  3 in total

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