Literature DB >> 25173793

Feasibility of three-dimensional virtual surgical planning in living liver donors.

Jeong Hee Yoon1, Jeong Min Lee, Ju Hyun Jun, Kyung-Suk Suh, Philippe Coulon, Joon Koo Han, Byung Ihn Choi.   

Abstract

PURPOSE: The aim of the study was to determine the accuracy, reproducibility, and improvement in the clinical workflow of a semiautomatic computed tomography (CT) virtual surgical planning program in estimating graft volume using actual graft weight as a standard of reference in living liver donors.
MATERIALS AND METHODS: This retrospective study was approved by our Institutional Review Board and the requirement for informed consent was waived. A total of 105 liver donor candidates who underwent preoperative liver CT were reviewed. Volumes of the whole liver (V T), four hepatic segments, and predicted volumes of the hepatic graft (V pred) were obtained using a semiautomatic analysis program by radiologists and a conventional manual volumetry program by surgeons. Intraobserver and interobserver agreements of V T and V pred were assessed using intraclass correlation coefficients (ICCs). V pred was also compared to the actual graft weight (W act) and analysis times were recorded. In addition, potential vascular complications were assessed using the surgical planning function of the software.
RESULTS: The mean processing time of hepatic volumetry, segmentation, and surgical planning using software was significantly shorter than that using manual volumetry (175.9 ± 46.6 vs. 916.6 ± 52.8 s, P < 0.001). V T and V pred obtained using the semiautomatic analysis program showed significant intra and interobserver agreements (ICC = 0.98-0.99), and V pred showed strong correlation with W act (r = 0.83-0.86, P < 0.0001). Furthermore, image review using the liver analysis program detected 80% (4/5) vascular complications.
CONCLUSION: Liver volumetry and estimation of graft volume using liver analysis software provided good accuracy and excellent reproducibility in a short time than manual volumetry method and was useful for identifying vascular complications.

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Mesh:

Year:  2015        PMID: 25173793     DOI: 10.1007/s00261-014-0231-9

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  4 in total

Review 1.  Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters.

Authors:  Omar Ibrahim Alirr; Ashrani Aizzuddin Abd Rahni
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

2.  Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors.

Authors:  A Emre Kavur; Naciye Sinem Gezer; Mustafa Barış; Yusuf Şahin; Savaş Özkan; Bora Baydar; Ulaş Yüksel; Çağlar Kılıkçıer; Şahin Olut; Gözde Bozdağı Akar; Gözde Ünal; Oğuz Dicle; M Alper Selver
Journal:  Diagn Interv Radiol       Date:  2020-01       Impact factor: 2.630

3.  Consensus recommendations of three-dimensional visualization for diagnosis and management of liver diseases.

Authors:  Chihua Fang; Jihyun An; Antonio Bruno; Xiujun Cai; Jia Fan; Jiro Fujimoto; Rita Golfieri; Xishan Hao; Hongchi Jiang; Long R Jiao; Anand V Kulkarni; Hauke Lang; Cosmas Rinaldi A Lesmana; Qiang Li; Lianxin Liu; Yingbin Liu; Wanyee Lau; Qiping Lu; Kwan Man; Hitoshi Maruyama; Cristina Mosconi; Necati Örmeci; Michael Pavlides; Guilherme Rezende; Joo Hyun Sohn; Sombat Treeprasertsuk; Valérie Vilgrain; Hao Wen; Sai Wen; Xianyao Quan; Rafael Ximenes; Yinmo Yang; Bixiang Zhang; Weiqi Zhang; Peng Zhang; Shaoxiang Zhang; Xiaolong Qi
Journal:  Hepatol Int       Date:  2020-07-07       Impact factor: 6.047

4.  Computed tomography donor liver volumetry before liver transplantation in infants ≤10 kg: does the estimated graft diameter affect the outcome?

Authors:  Nagoud Schukfeh; Maren Schulze; Anna Charlotte Holland; Jens Dingemann; Dieter P Hoyer; Andreas Paul; Jens M Theysohn
Journal:  Innov Surg Sci       Date:  2018-07-03
  4 in total

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