Literature DB >> 25273505

Computer aided preoperative evaluation of the residual liver volume using computed tomography images.

Kristina Bliznakova1, Nikola Kolev, Ivan Buliev, Anton Tonev, Elitsa Encheva, Zhivko Bliznakov, Krasimir Ivanov.   

Abstract

Major hepatectomy causes a risk of postoperative liver dysfunction, failure, and infections like surgical site infection. Preoperative assessment of the liver volume and function of the remnant liver is a mandatory prerequisite before performing such surgery. The aim of this work is to develop and test a software application for evaluation of the residual function of the liver prior to the intervention of the surgeons. For this purpose, a technique for evaluation of liver volume from computed tomography (CT) images has been developed. Furthermore, the methodology algorithms were implemented and incorporated within a software tool with three basic functionalities: volume determination based on segmentation of liver from CT images, virtual tumour resection and estimation of the residual liver function and 3D visualisation. Forty-one sets of abdominal CT images consisting of different number of tomographic slice images were used to test and evaluate the proposed approach. Volumes that were obtained after manual tracing by two surgeon experts showed a relative difference of 3.5 %. The suggested methodology was encapsulated within an application with user-friendly interface that allows surgeons interactively to perform virtual tumour resection, to evaluate the relative residual liver and render the final result. Thereby, it is a tool in the surgeons' hands that significantly facilitates their duties, saves time, and allows them to objectively evaluate the situation and take the right decisions. At the same time, the tool appears to be appropriate educational instrument for virtual training of young surgeon specialists.

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Year:  2015        PMID: 25273505      PMCID: PMC4359196          DOI: 10.1007/s10278-014-9737-5

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  12 in total

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Authors:  W Schneider; T Bortfeld; W Schlegel
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2.  Extraction and reconstruction of retinal vasculature.

Authors:  M H Ahmad Fadzil; Lila Iznita Izhar; P A Venkatachalam; T V N Karunakar
Journal:  J Med Eng Technol       Date:  2007 Nov-Dec

3.  Liver segmentation for CT images using GVF snake.

Authors:  Fan Liu; Binsheng Zhao; Peter K Kijewski; Liang Wang; Lawrence H Schwartz
Journal:  Med Phys       Date:  2005-12       Impact factor: 4.071

4.  A conditional statistical shape model with integrated error estimation of the conditions; application to liver segmentation in non-contrast CT images.

Authors:  Sho Tomoshige; Elco Oost; Akinobu Shimizu; Hidefumi Watanabe; Shigeru Nawano
Journal:  Med Image Anal       Date:  2013-10-17       Impact factor: 8.545

5.  Automated segmentation of tissue structures in optical coherence tomography data.

Authors:  Fernando Gasca; Lukas Ramrath; Gereon Huettmann; Achim Schweikard
Journal:  J Biomed Opt       Date:  2009 May-Jun       Impact factor: 3.170

Review 6.  How much remnant is enough in liver resection?

Authors:  Alfredo Guglielmi; Andrea Ruzzenente; Simone Conci; Alessandro Valdegamberi; Calogero Iacono
Journal:  Dig Surg       Date:  2012-03-15       Impact factor: 2.588

7.  Predictors of surgical site infection after liver resection: a multicentre analysis using National Surgical Quality Improvement Program data.

Authors:  Almudena Moreno Elola-Olaso; Daniel L Davenport; Jonathan C Hundley; Michael F Daily; Roberto Gedaly
Journal:  HPB (Oxford)       Date:  2011-12-13       Impact factor: 3.647

8.  The value of residual liver volume as a predictor of hepatic dysfunction and infection after major liver resection.

Authors:  M J Schindl; D N Redhead; K C H Fearon; O J Garden; S J Wigmore
Journal:  Gut       Date:  2005-02       Impact factor: 23.059

9.  Comparison and evaluation of methods for liver segmentation from CT datasets.

Authors:  Tobias Heimann; Bram van Ginneken; Martin A Styner; Yulia Arzhaeva; Volker Aurich; Christian Bauer; Andreas Beck; Christoph Becker; Reinhard Beichel; György Bekes; Fernando Bello; Gerd Binnig; Horst Bischof; Alexander Bornik; Peter M M Cashman; Ying Chi; Andrés Cordova; Benoit M Dawant; Márta Fidrich; Jacob D Furst; Daisuke Furukawa; Lars Grenacher; Joachim Hornegger; Dagmar Kainmüller; Richard I Kitney; Hidefumi Kobatake; Hans Lamecker; Thomas Lange; Jeongjin Lee; Brian Lennon; Rui Li; Senhu Li; Hans-Peter Meinzer; Gábor Nemeth; Daniela S Raicu; Anne-Mareike Rau; Eva M van Rikxoort; Mikaël Rousson; László Rusko; Kinda A Saddi; Günter Schmidt; Dieter Seghers; Akinobu Shimizu; Pieter Slagmolen; Erich Sorantin; Grzegorz Soza; Ruchaneewan Susomboon; Jonathan M Waite; Andreas Wimmer; Ivo Wolf
Journal:  IEEE Trans Med Imaging       Date:  2009-02-10       Impact factor: 10.048

10.  Staging systems in hepatocellular carcinoma.

Authors:  Fernando Pons; Maria Varela; Josep M Llovet
Journal:  HPB (Oxford)       Date:  2005       Impact factor: 3.647

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  1 in total

Review 1.  Imaging of Cholangiocarcinoma.

Authors:  Susann-Cathrin Olthof; Ahmed Othman; Stephan Clasen; Christina Schraml; Konstantin Nikolaou; Malte Bongers
Journal:  Visc Med       Date:  2016-12-06
  1 in total

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