Literature DB >> 18449610

Portal vein segmentation of a 3D-planning system for liver surgery--in vivo evaluation in a porcine model.

Kai S Lehmann1, Joerg-P Ritz, Steffi Valdeig, Andrea Schenk, Christoph Holmer, Heinz-O Peitgen, Heinz-J Buhr, Bernd B Frericks.   

Abstract

BACKGROUND: Computer systems allow the planning of complex liver operations. The segmentation of intrahepatic vessels builds the basis for the calculation of liver segments and resection proposals. For surgical use, it is essential to know the capabilities and limitations of the segmentation. The aim of this study was to determine the sensitivity and precision of the portal vein segmentation of a computer planning system for liver surgery in vivo.
METHODS: Segmentations were performed with the software system HepaVision on computed tomography (CT) scan data of domestic pigs. An in situ corrosion cast of the portal vein served as the gold standard. The segmentation results of the portal vein and the corrosion cast were compared with regard to sensitivity, precision, and amount of short-circuit segmentations.
RESULTS: The methodology demonstrated high resolution ex situ. The in vivo sensitivity of the portal vein segmentation was 100% for vessels of more than 5 mm in diameter and 82% for vessels of 3-4 mm. All segment branches were detected as well as 84% of the first subsegment branches with a diameter of more than 3 mm. The precision of the system was 100% for segment branches and 89% for the first subsegment vessels. The amount of internal short-circuit segmentations was less than 3.0%. No external short-circuits were found.
CONCLUSION: The system has a high precision and sensitivity under clinical conditions. The segmentation is suitable for portal vein branches of the first and second order and for vessels of >/=3 mm in diameter.

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Year:  2008        PMID: 18449610     DOI: 10.1245/s10434-008-9934-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  7 in total

1.  In vivo validation of a therapy planning system for laser-induced thermotherapy (LITT) of liver malignancies.

Authors:  Kai Siegfried Lehmann; Bernd Benedikt Frericks; Christoph Holmer; Andrea Schenk; Andreas Weihusen; Verena Knappe; Urte Zurbuchen; Heinz Otto Peitgen; Heinz Johannes Buhr; Jörg Peter Ritz
Journal:  Int J Colorectal Dis       Date:  2011-03-15       Impact factor: 2.571

2.  Combining deep learning with anatomical analysis for segmentation of the portal vein for liver SBRT planning.

Authors:  Bulat Ibragimov; Diego Toesca; Daniel Chang; Albert Koong; Lei Xing
Journal:  Phys Med Biol       Date:  2017-11-10       Impact factor: 3.609

3.  MRI assessment of ischemic liver after intraportal islet transplantation.

Authors:  Naoaki Sakata; Pete Hayes; Annie Tan; Nathaniel K Chan; John Mace; Ricardo Peverini; Lawrence Sowers; William J Pearce; Richard Chinnock; Andre Obenaus; Eba Hathout
Journal:  Transplantation       Date:  2009-03-27       Impact factor: 4.939

4.  Advanced surface reconstruction technique to build detailed surface models of the liver and neighboring structures from the Visible Korean Human.

Authors:  Dong Sun Shin; Min Suk Chung; Jun Won Lee; Jin Seo Park; Jinoh Chung; Seung-Bock Lee; Sang-Ho Lee
Journal:  J Korean Med Sci       Date:  2009-06-12       Impact factor: 2.153

5.  Morphological features of the porcine lacrimal gland and its compatibility for human lacrimal gland xenografting.

Authors:  Robert Henker; Michael Scholz; Simone Gaffling; Nagayoshi Asano; Ulrike Hampel; Fabian Garreis; Joachim Hornegger; Friedrich Paulsen
Journal:  PLoS One       Date:  2013-09-12       Impact factor: 3.240

Review 6.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

7.  Local, semi-automatic, three-dimensional liver reconstruction or external provider? An analysis of performance and time expense.

Authors:  Markus Paschold; Florentine Huettl; Werner Kneist; Christian Boedecker; Alicia Poplawski; Tobias Huber; Hauke Lang
Journal:  Langenbecks Arch Surg       Date:  2020-03-25       Impact factor: 3.445

  7 in total

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