Literature DB >> 26429785

Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer.

Yuichiro Hayashi1, Kazunari Misawa2, Masahiro Oda3, David J Hawkes4,5, Kensaku Mori6,3.   

Abstract

PURPOSE: Knowledge of the specific anatomical information of a patient is important when planning and undertaking laparoscopic surgery due to the restricted field of view and lack of tactile feedback compared to open surgery. To assist this type of surgery, we have developed a surgical navigation system that presents the patient's anatomical information synchronized with the laparoscope position. This paper presents the surgical navigation system and its clinical application to laparoscopic gastrectomy for gastric cancer.
METHODS: The proposed surgical navigation system generates virtual laparoscopic views corresponding to the laparoscope position recorded with a three-dimensional (3D) positional tracker. The virtual laparoscopic views are generated from preoperative CT images. A point-based registration aligns coordinate systems between the patient's anatomy and image coordinates. The proposed navigation system is able to display the virtual laparoscopic views using the registration result during surgery.
RESULTS: We performed surgical navigation during laparoscopic gastrectomy in 23 cases. The navigation system was able to present the virtual laparoscopic views in synchronization with the laparoscopic position. The fiducial registration error was calculated in all 23 cases, and the average was 14.0 mm (range 6.1-29.8).
CONCLUSION: The proposed surgical navigation system can provide CT-derived patient anatomy aligned to the laparoscopic view in real time during surgery. This system enables accurate identification of vascular anatomy as a guide to vessel clamping prior to total or partial gastrectomy.

Entities:  

Keywords:  Gastric cancer; Laparoscopic gastrectomy; Laparoscopy; Stomach; Surgical navigation; Virtual laparoscopy

Mesh:

Year:  2015        PMID: 26429785     DOI: 10.1007/s11548-015-1293-z

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  23 in total

1.  Preoperative simulation of vascular anatomy by three-dimensional computed tomography imaging in laparoscopic gastric cancer surgery.

Authors:  Sang-Woong Lee; Hisashi Shinohara; Mitsuru Matsuki; Junji Okuda; Eiji Nomura; Hideaki Mabuchi; Kanji Nishiguchi; Kyoichi Takaori; Isamu Narabayashi; Nobuhiko Tanigawa
Journal:  J Am Coll Surg       Date:  2003-12       Impact factor: 6.113

2.  Augmented reality navigation system for laparoscopic splenectomy in children based on preoperative CT image using optical tracking device.

Authors:  Satoshi Ieiri; Munenori Uemura; Kouzou Konishi; Ryota Souzaki; Yoshihiro Nagao; Norifumi Tsutsumi; Tomohiko Akahoshi; Kenoki Ohuchida; Takeshi Ohdaira; Morimasa Tomikawa; Kazuo Tanoue; Makoto Hashizume; Tomoaki Taguchi
Journal:  Pediatr Surg Int       Date:  2011-12-01       Impact factor: 1.827

3.  Navigation in laparoscopy--prototype research platform for improved image-guided surgery.

Authors:  T Langø; G A Tangen; R Mårvik; B Ystgaard; Y Yavuz; J H Kaspersen; O V Solberg; T A N Hernes
Journal:  Minim Invasive Ther Allied Technol       Date:  2008       Impact factor: 2.442

4.  Weights and topology: a study of the effects of graph construction on 3D image segmentation.

Authors:  Leo Grady; Marie-Pierre Jolly
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

5.  Predicting error in rigid-body point-based registration.

Authors:  J M Fitzpatrick; J B West; C R Maurer
Journal:  IEEE Trans Med Imaging       Date:  1998-10       Impact factor: 10.048

6.  A navigation system for open liver surgery: design, workflow and first clinical applications.

Authors:  M Peterhans; A vom Berg; B Dagon; D Inderbitzin; C Baur; D Candinas; S Weber
Journal:  Int J Med Robot       Date:  2010-10-29       Impact factor: 2.547

7.  Usefulness of three-dimensional angiographic analysis of perigastric vessels before laparoscopic gastrectomy.

Authors:  Ichirota Iino; Takanori Sakaguchi; Hirotoshi Kikuchi; Shinichiro Miyazaki; Takeshi Fujita; Yoshihiro Hiramatsu; Manabu Ohta; Kinji Kamiya; Takasuke Ushio; Yasuo Takehara; Hiroyuki Konno
Journal:  Gastric Cancer       Date:  2012-09-11       Impact factor: 7.370

8.  Image-guided laparoscopic surgery in an open MRI operating theater.

Authors:  Norifumi Tsutsumi; Morimasa Tomikawa; Munenori Uemura; Tomohiko Akahoshi; Yoshihiro Nagao; Kozo Konishi; Satoshi Ieiri; Jaesung Hong; Yoshihiko Maehara; Makoto Hashizume
Journal:  Surg Endosc       Date:  2013-01-26       Impact factor: 4.584

9.  Three-dimensional digitizer (neuronavigator): new equipment for computed tomography-guided stereotaxic surgery.

Authors:  E Watanabe; T Watanabe; S Manaka; Y Mayanagi; K Takakura
Journal:  Surg Neurol       Date:  1987-06

10.  Laparoscopic navigation pointer for three-dimensional image-guided surgery.

Authors:  R Mårvik; T Langø; G A Tangen; J O Andersen; J H Kaspersen; B Ystgaard; E Sjølie; R Fougner; H E Fjøsne; T A Nagelhus Hernes
Journal:  Surg Endosc       Date:  2004-06-23       Impact factor: 4.584

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  11 in total

1.  Optimal port placement planning method for laparoscopic gastrectomy.

Authors:  Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-07       Impact factor: 2.924

2.  Deep monocular 3D reconstruction for assisted navigation in bronchoscopy.

Authors:  Marco Visentini-Scarzanella; Takamasa Sugiura; Toshimitsu Kaneko; Shinichiro Koto
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-05-15       Impact factor: 2.924

3.  Perception enhancement using importance-driven hybrid rendering for augmented reality based endoscopic surgical navigation.

Authors:  Yakui Chu; Xu Li; Xilin Yang; Danni Ai; Yong Huang; Hong Song; Yurong Jiang; Yongtian Wang; Xiaohong Chen; Jian Yang
Journal:  Biomed Opt Express       Date:  2018-10-04       Impact factor: 3.732

4.  Deformation of the Pelvic Arteries Caused by Pneumoperitoneum and Postural Changes in an Animal Model.

Authors:  Hidemichi Kiyomatsu; Lei Ma; Junchen Wang; Tomomichi Kiyomatsu; Hiroyuki Tsukihara; Etsuko Kobayashi; Ichiro Sakuma; Souichiro Ishihara
Journal:  In Vivo       Date:  2021 Jan-Feb       Impact factor: 2.155

5.  Abdominal artery segmentation method from CT volumes using fully convolutional neural network.

Authors:  Masahiro Oda; Holger R Roth; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-09-06       Impact factor: 2.924

6.  Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer.

Authors:  Yuichiro Hayashi; Kazunari Misawa; David J Hawkes; Kensaku Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-01-25       Impact factor: 2.924

7.  Clinical application of a surgical navigation system based on virtual thoracoscopy for lung cancer patients: real time visualization of area of lung cancer before induction therapy and optimal resection line for obtaining a safe surgical margin during surgery.

Authors:  Shota Nakamura; Yuichiro Hayashi; Koji Kawaguchi; Takayuki Fukui; Shuhei Hakiri; Naoki Ozeki; Shunsuke Mori; Masaki Goto; Kensaku Mori; Kohei Yokoi
Journal:  J Thorac Dis       Date:  2020-03       Impact factor: 2.895

8.  From computer-assisted intervention research to clinical impact: The need for a holistic approach.

Authors:  Sébastien Ourselin; Mark Emberton; Tom Vercauteren
Journal:  Med Image Anal       Date:  2016-06-15       Impact factor: 8.545

Review 9.  Pediatric oncologic endosurgery.

Authors:  Yoon Jung Boo; Jan Goedecke; Oliver J Muensterer
Journal:  Int J Surg Oncol (N Y)       Date:  2017-06-20

10.  A case study: impact of target surface mesh size and mesh quality on volume-to-surface registration performance in hepatic soft tissue navigation.

Authors:  Georges Hattab; Carina Riediger; Juergen Weitz; Stefanie Speidel
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-03-27       Impact factor: 2.924

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