Literature DB >> 21843269

Novel three-dimensional imaging technique improves the accuracy of hepatic volumetric assessment.

Bernard J DuBray1, Rebecca V Levy, Parvathi Balachandran, Kendra D Conzen, Gundumi A Upadhya, Christopher D Anderson, William C Chapman.   

Abstract

BACKGROUND: With pre-operative prediction of liver volume becoming increasingly important to safely carry out complex hepatic resections, the aim of the present study was to validate the accuracy of a three-dimensional (3-D) liver surgery operative planning software in performing hepatic volumetry.
METHODS: Between 1999 and 2007, we performed 29 live donor liver resections for transplantation. Eleven patients had pre-operative volumetry performed by radiologists from either computed tomography (CT) or magnetic resonance (MR) imaging with documentation of the corresponding specimen weight. Retrospectively, images were uploaded into Scout™ where 3-D models of each case were generated to perform volumetry. A correlational analysis was performed followed by an accuracy comparison.
RESULTS: Estimations by both radiologists and Scout™ were significantly correlated with the specimen weights, P ≤ 0.0001. Compared with radiologists' volumetry, Scout™ significantly improved overall accuracy [per cent error (PE) 20.0% ± 5.3 vs. 32.9% ± 5.7, P=0.005], accuracy of CT-based estimations (PE 23.2% ± 6.7 vs. 37.2% ± 6.9, P=0.023) and accuracy of the left lateral section (PE 11.1% ± 3.9 vs. 26.6% ± 6.8, P=0.027). DISCUSSION: This 3-D planning software is a valid tool for use in volumetry. Significance is greatest for CT-based models of the left lateral section. This approach gives surgeons the ability to assess volumetrics and actively plan resections.
© 2011 International Hepato-Pancreato-Biliary Association.

Entities:  

Mesh:

Year:  2011        PMID: 21843269      PMCID: PMC3183453          DOI: 10.1111/j.1477-2574.2011.00350.x

Source DB:  PubMed          Journal:  HPB (Oxford)        ISSN: 1365-182X            Impact factor:   3.647


  20 in total

1.  The impact of 3-D virtual hepatectomy simulation in living-donor liver transplantation.

Authors:  Junichi Yamanaka; Shinichi Saito; Yuji Iimuro; Tadamichi Hirano; Toshihiro Okada; Nobukazu Kuroda; Takaaki Sugimoto; Jiro Fujimoto
Journal:  J Hepatobiliary Pancreat Surg       Date:  2006

2.  Impact of virtual reality imaging on hepatic liver tumor resection: calculation of risk.

Authors:  H G Rau; R Schauer; T Helmberger; N Holzknecht; B von Rückmann; L Meyer; E Buttler; M Kessler; G Zahlmann; D Schuhmann; F W Schildberg
Journal:  Langenbecks Arch Surg       Date:  2000-04       Impact factor: 3.445

3.  Preoperative risk assessment of hepatic resection for malignant disease.

Authors:  T U Cohnert; H G Rau; E Buttler; T Hernandez-Richter; G Sauter; C Reuter; F W Schildberg
Journal:  World J Surg       Date:  1997-05       Impact factor: 3.352

4.  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

5.  Analysis of failure in living donor liver transplantation: differential outcomes in children and adults.

Authors:  Michael J Goldstein; Ephrem Salame; Sandip Kapur; Milan Kinkhabwala; Diane LaPointe-Rudow; Patricia Harren N P; Steven J Lobritto; Mark Russo; Robert S Brown; Guellue Cataldegirmen; Alan Weinberg; John F Renz; Jean C Emond
Journal:  World J Surg       Date:  2003-02-27       Impact factor: 3.352

6.  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

7.  Virtual liver resection and volumetric analysis of the future liver remnant using open source image processing software.

Authors:  Joost R van der Vorst; Ronald M van Dam; Rogier S A van Stiphout; Maartje A van den Broek; Ilona H Hollander; Alfons G H Kessels; Cornelis H C Dejong
Journal:  World J Surg       Date:  2010-10       Impact factor: 3.352

8.  Improvement in perioperative outcome after hepatic resection: analysis of 1,803 consecutive cases over the past decade.

Authors:  William R Jarnagin; Mithat Gonen; Yuman Fong; Ronald P DeMatteo; Leah Ben-Porat; Sarah Little; Carlos Corvera; Sharon Weber; Leslie H Blumgart
Journal:  Ann Surg       Date:  2002-10       Impact factor: 12.969

9.  Primary hepatic malignancy: surgical management and determinants of survival.

Authors:  D M Nagorney; J A van Heerden; D M Ilstrup; M A Adson
Journal:  Surgery       Date:  1989-10       Impact factor: 3.982

10.  Prospective volumetric assessment of the liver on a personal computer by nonradiologists prior to partial hepatectomy.

Authors:  Simon A W G Dello; Jan H M B Stoot; Rogier S A van Stiphout; Johanne G Bloemen; Stephen J Wigmore; Cornelis H C Dejong; Ronald M van Dam
Journal:  World J Surg       Date:  2011-02       Impact factor: 3.352

View more
  10 in total

1.  Deformation correction for image guided liver surgery: An intraoperative fidelity assessment.

Authors:  Logan W Clements; Jarrod A Collins; Jared A Weis; Amber L Simpson; T Peter Kingham; William R Jarnagin; Michael I Miga
Journal:  Surgery       Date:  2017-07-10       Impact factor: 3.982

2.  Multi-view stereophotogrammetry for post-mastectomy breast reconstruction.

Authors:  Xiangyang Ju; Helga Henseler; Matthew Jian-Qiao Peng; Balvinder S Khambay; Arup K Ray; Ashraf F Ayoub
Journal:  Med Biol Eng Comput       Date:  2015-07-02       Impact factor: 2.602

3.  Image-guided liver surgery: intraoperative projection of computed tomography images utilizing tracked ultrasound.

Authors:  T Peter Kingham; Michael A Scherer; Benjamin W Neese; Logan W Clements; James D Stefansic; William R Jarnagin
Journal:  HPB (Oxford)       Date:  2012-05-21       Impact factor: 3.647

4.  Validation of the peak bilirubin criterion for outcome after partial hepatectomy.

Authors:  Kim M C van Mierlo; Toine M Lodewick; Dipok K Dhar; Victor van Woerden; Ralph Kurstjens; Frank G Schaap; Ronald M van Dam; Soumil Vyas; Massimo Malagó; Cornelis H C Dejong; Steven W M Olde Damink
Journal:  HPB (Oxford)       Date:  2016-07-02       Impact factor: 3.647

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.  Computer-assisted liver tumor surgery using a novel semiautomatic and a hybrid semiautomatic segmentation algorithm.

Authors:  Apollon Zygomalas; Dionissios Karavias; Dimitrios Koutsouris; Ioannis Maroulis; Dimitrios D Karavias; Konstantinos Giokas; Vasileios Megalooikonomou
Journal:  Med Biol Eng Comput       Date:  2015-08-26       Impact factor: 2.602

7.  Safety validation of decision trees for hepatocellular carcinoma.

Authors:  Xian-Qiang Wang; Zhe Liu; Wen-Ping Lv; Ying Luo; Guang-Yun Yang; Chong-Hui Li; Xiang-Fei Meng; Yang Liu; Ke-Sen Xu; Jia-Hong Dong
Journal:  World J Gastroenterol       Date:  2015-08-21       Impact factor: 5.742

8.  Three-Dimensional Volumetric Assessment of Graft Volume in Living Donor Liver Transplantation: Does It Minimise Errors of Estimation?

Authors:  Nihar Mohapatra; Kishore Gurumoorthy Subramanya Bharathy; Piyush Kumar Sinha; Shridhar Vasantrao Sasturkar; Yashwant Patidar; Viniyendra Pamecha
Journal:  J Clin Exp Hepatol       Date:  2019-03-26

Review 9.  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

Review 10.  Up-to-date intraoperative computer assisted solutions for liver surgery.

Authors:  Apollon Zygomalas; Ioannis Kehagias
Journal:  World J Gastrointest Surg       Date:  2019-01-27
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.