Literature DB >> 23337995

The LiverSurgeryTrainer: training of computer-based planning in liver resection surgery.

Jeanette Mönch1, Konrad Mühler, Christian Hansen, Karl-Jürgen Oldhafer, Gregor Stavrou, Christian Hillert, Christoph Logge, Bernhard Preim.   

Abstract

PURPOSE: The training of liver surgeons depends on local conditions such as the specialization of the clinic, the spectrum of cases, and the instructing surgeons. We present the LiverSurgeryTrainer a software application to support the training of prospective surgeons in preoperative decision making.
METHODS: The LiverSurgeryTrainer visualizes radiological images, volumetric information, and interactive 3D models of patients' liver anatomy. In addition, it provides special interaction techniques and tools to perform individual resections on the training data. To assess the correctness of decisions made by the learner, comments and decisions from experienced liver surgeons are provided for each case. To complete the case, additional material concerning the actual surgery (e.g., videos, reports) is presented. The application workflow is derived from a scenario-based design process and is based on an instructional design model.
RESULTS: The LiverSurgeryTrainer was evaluated in several steps. A formative usability evaluation identified workflow and user interface flaws that were resolved in further development process. A summative evaluation shows the improvement of the LiverSurgeryTrainer in nearly all analyzed aspects. First results of a learning success evaluation show that learners experience a learning effect.
CONCLUSION: Our training system allows surgeons to train procedures and interaction techniques for computer-based planning of liver interventions. The evaluations showed acceptance and usability.

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Mesh:

Year:  2013        PMID: 23337995     DOI: 10.1007/s11548-013-0812-z

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


  13 in total

1.  Planning and rehearsal of surgical interventions in the volume model.

Authors:  B Pflesser; R Leuwer; U Tiede; K H Höhne
Journal:  Stud Health Technol Inform       Date:  2000

2.  Medical image analysis.

Authors:  Felix Ritter; Tobias Boskamp; André Homeyer; Hendrik Laue; Michael Schwier; Florian Link; Heinz-Otto Peitgen
Journal:  IEEE Pulse       Date:  2011-11       Impact factor: 0.924

3.  Computer-assisted surgery planning for complex liver resections: when is it helpful? A single-center experience over an 8-year period.

Authors:  Arnold Radtke; Georgios C Sotiropoulos; Ernesto P Molmenti; Tobias Schroeder; Heinz O Peitgen; Andrea Frilling; Dieter C Broering; Christoph E Broelsch; Massimo Malago'
Journal:  Ann Surg       Date:  2010-11       Impact factor: 12.969

4.  Adaptive script based animations for intervention planning.

Authors:  Konrad Muehler; Ragnar Bade; Bernhard Preim
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

5.  Formation of venous collaterals and regeneration in the donor remnant liver: volumetric analysis and three-dimensional visualization.

Authors:  A Schenk; M Hindennach; A Radtke; M Malagó; T Schroeder; H-O Peitgen
Journal:  Transplant Proc       Date:  2009 Jul-Aug       Impact factor: 1.066

6.  Interpreting three-dimensional structures from two-dimensional images: a web-based interactive 3D teaching model of surgical liver anatomy.

Authors:  Jodi L Crossingham; Jodie Jenkinson; Nick Woolridge; Steven Gallinger; Gordon A Tait; Carol-Anne E Moulton
Journal:  HPB (Oxford)       Date:  2009-09       Impact factor: 3.647

7.  The medical exploration toolkit: an efficient support for visual computing in surgical planning and training.

Authors:  Konrad Mühler; Christian Tietjen; Felix Ritter; Bernhard Preim
Journal:  IEEE Trans Vis Comput Graph       Date:  2010 Jan-Feb       Impact factor: 4.579

8.  Effect of surgical margin status on survival and site of recurrence after hepatic resection for colorectal metastases.

Authors:  Timothy M Pawlik; Charles R Scoggins; Daria Zorzi; Eddie K Abdalla; Axel Andres; Cathy Eng; Steven A Curley; Evelyne M Loyer; Andrea Muratore; Gilles Mentha; Lorenzo Capussotti; Jean-Nicolas Vauthey
Journal:  Ann Surg       Date:  2005-05       Impact factor: 12.969

Review 9.  Planning of image-guided interventions in the liver.

Authors:  Andrea Schenk; Dieter Haemmerich; Tobias Preusser
Journal:  IEEE Pulse       Date:  2011 Sep-Oct       Impact factor: 0.924

10.  The impact of 3-dimensional reconstructions on operation planning in liver surgery.

Authors:  W Lamadé; G Glombitza; L Fischer; P Chiu; C E Cárdenas; M Thorn; H P Meinzer; L Grenacher; H Bauer; T Lehnert; C Herfarth
Journal:  Arch Surg       Date:  2000-11
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  3 in total

1.  Ex vivo hepatectomy and partial liver autotransplantation for hepatoid adenocarcinoma: A case report.

Authors:  Fu-Qiang Wang; Qian Lu; Jun Yan; You-Yuan Peng; Cheng-Rong Xie; Yong-Jie Su; Jian-Yin Zhou; Bo-Liang Wang; Wen-Xiu Zhao; Xiao-Min Wang; Ping Bie; Zhen-Yu Yin
Journal:  Oncol Lett       Date:  2015-03-16       Impact factor: 2.967

2.  Deformation modeling based on mechanical properties of liver tissue for virtuanormal vectors of trianglesl surgical simulation.

Authors:  Jing Yang; Ming Hu; Xinge Shi; Deming Zhao; Lingtao Yu
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-01-06       Impact factor: 2.924

3.  Patient-individualized resection planning in liver surgery using 3D print and virtual reality (i-LiVR)-a study protocol for a prospective randomized controlled trial.

Authors:  Tobias Huber; Laura Isabel Hanke; Christian Boedecker; Lukas Vradelis; Janine Baumgart; Stefan Heinrich; Fabian Bartsch; Jens Mittler; Alicia Schulze; Christian Hansen; Florentine Hüttl; Hauke Lang
Journal:  Trials       Date:  2022-05-13       Impact factor: 2.279

  3 in total

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