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

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Title: Consensus recommendations of three-dimensional visualization for diagnosis and management of liver diseases
Authors: Fang, C
An, J
Bruno, A
Cai, X
Fan, J
Fujimoto, J
Golfieri, R
Hao, X
Jiang, H
Jiao, LR
Kulkarni, AV
Lang, H
Lesmana, CRA
Li, Q
Liu, L
Liu, Y
Lau, W
Lu, Q
Man, K
Maruyama, H
Mosconi, C
Örmeci, N
Pavlides, M
Rezende, G
Sohn, JH
Treeprasertsuk, S
Vilgrain, V
Wen, H
Wen, S
Quan, X
Ximenes, R
Yang, Y
Zhang, B
Zhang, W
Zhang, P
Zhang, S
Qi, X
Item Type: Journal Article
Abstract: Three-dimensional (3D) visualization involves feature extraction and 3D reconstruction of CT images using a computer processing technology. It is a tool for displaying, describing, and interpreting 3D anatomy and morphological features of organs, thus providing intuitive, stereoscopic, and accurate methods for clinical decision-making. It has played an increasingly significant role in the diagnosis and management of liver diseases. Over the last decade, it has been proven safe and effective to use 3D simulation software for pre-hepatectomy assessment, virtual hepatectomy, and measurement of liver volumes in blood flow areas of the portal vein; meanwhile, the use of 3D models in combination with hydrodynamic analysis has become a novel non-invasive method for diagnosis and detection of portal hypertension. We herein describe the progress of research on 3D visualization, its workflow, current situation, challenges, opportunities, and its capacity to improve clinical decision-making, emphasizing its utility for patients with liver diseases. Current advances in modern imaging technologies have promised a further increase in diagnostic efficacy of liver diseases. For example, complex internal anatomy of the liver and detailed morphological features of liver lesions can be reflected from CT-based 3D models. A meta-analysis reported that the application of 3D visualization technology in the diagnosis and management of primary hepatocellular carcinoma has significant or extremely significant differences over the control group in terms of intraoperative blood loss, postoperative complications, recovery of postoperative liver function, operation time, hospitalization time, and tumor recurrence on short-term follow-up. However, the acquisition of high-quality CT images and the use of these images for 3D visualization processing lack a unified standard, quality control system, and homogeneity, which might hinder the evaluation of application efficacy in different clinical centers, causing enormous inconvenience to clinical practice and scientific research. Therefore, rigorous operating guidelines and quality control systems need to be established for 3D visualization of liver to develop it to become a mature technology. Herein, we provide recommendations for the research on diagnosis and management of 3D visualization in liver diseases to meet this urgent need in this research field.
Issue Date: 7-Jul-2020
Date of Acceptance: 4-May-2020
URI: http://hdl.handle.net/10044/1/80654
DOI: 10.1007/s12072-020-10052-y
ISSN: 1936-0533
Publisher: Springer Verlag
Start Page: 437
End Page: 453
Journal / Book Title: Hepatology International
Volume: 14
Copyright Statement: © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Science & Technology
Life Sciences & Biomedicine
Gastroenterology & Hepatology
Three-dimensional visualization
Computed tomography
Quality control system
Three-dimensional printing
Hepatocellular carcinoma
Hilar cholangiocarcinoma
Hepatolithiasis
Portal hypertension
Living donor liver transplantation
Consensus
EXTENDED LEFT HEPATECTOMY
HEPATOCELLULAR-CARCINOMA
HILAR CHOLANGIOCARCINOMA
PREOPERATIVE SIMULATION
COMPUTED-TOMOGRAPHY
SURGERY SIMULATION
BILE-DUCT
RECONSTRUCTION
IMPACT
TRANSPLANTATION
Computed tomography
Consensus
Hepatocellular carcinoma
Hepatolithiasis
Hilar cholangiocarcinoma
Living donor liver transplantation
Portal hypertension
Quality control system
Three-dimensional printing
Three-dimensional visualization
Computed tomography
Consensus
Hepatocellular carcinoma
Hepatolithiasis
Hilar cholangiocarcinoma
Living donor liver transplantation
Portal hypertension
Quality control system
Three-dimensional printing
Three-dimensional visualization
Gastroenterology & Hepatology
1103 Clinical Sciences
Publication Status: Published
Conference Place: United States
Online Publication Date: 2020-07-07
Appears in Collections:Department of Surgery and Cancer
Faculty of Medicine



This item is licensed under a Creative Commons License Creative Commons