Literature DB >> 31801707

[Guidelines for application of computer-assisted indocyanine green molecular fluorescence imaging in diagnosis and surgical navigation of liver tumors (2019)].

Medical Association Of Chinese Medical Association Digital, Intelligent Surgery Professional Committee Of Chinese Research Hospital Digital, Cancer Professional Committee Of Chinese Medical Doctor Association Liver, Precise Medicine Professional Committee Clinical, Imaging And Equipment Professional Committee Of China Graphics Society Medical, Imaging Professional Committee Of China Biophysical Society Molecular.   

Abstract

Computer-assisted combined indocyanine green (ICG) molecular fluorescence imaging technology can be used for preoperative planning and intraoperative detection from three-dimensional (3D) morphological anatomy and level of cellular function to guide the anatomical, functional and radical hepatectomy of liver tumor. This technology has received wide acceptance and has shown important diagnostic and therapeutic value. This guideline is intended to standardize the application of computer-assisted combined ICG molecular fluorescence imaging for accurate diagnosis and treatment of liver tumors in the following aspects: (1) the workflow of 3D visualization technology; (2) the mechanism and application flow of ICG molecular fluorescence imaging; (3) clinical application of 3D visualization technology and virtual reality technology; and (4) clinical application of ICG molecular fluorescence imaging. ICG molecular fluorescence imaging can help to define tumor boundary, determine hepatic segment and hepatic lobectomy tangent at the molecular and cellular level, and detect small lesions or metastases. According to the fluorescence signal characteristics of liver tumors and combined with rapid frozen pathological examination during operation, the differentiation degree of liver space-occupying lesions (such as primary liver cancer) can be preliminarily determined, and residual tumors and biliary leakage on the hepatic section can be detected after hepatectomy. Computer-assisted ICG molecular fluorescence imaging in the diagnosis and surgical navigation of liver tumors provides a new approach to digital diagnosis and treatment of liver tumors. With its development in clinical practice and the technological innovation, this technology will be further improved to allow more accurate diagnosis and treatment of liver tumors.

Entities:  

Keywords:  fluorescence imaging; indocyanine green; liver tumor; surgical; three-dimensional visualization technology

Mesh:

Substances:

Year:  2019        PMID: 31801707      PMCID: PMC6867950          DOI: 10.12122/j.issn.1673-4254.2019.10.01

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  43 in total

1.  Positive and negative staining of hepatic segments by use of fluorescent imaging techniques during laparoscopic hepatectomy.

Authors:  Takeaki Ishizawa; Noah B Zuker; Norihiro Kokudo; Brice Gayet
Journal:  Arch Surg       Date:  2012-04

2.  Reappraisal of a Dye-Staining Technique for Anatomic Hepatectomy by the Concomitant Use of Indocyanine Green Fluorescence Imaging.

Authors:  Akinori Miyata; Takeaki Ishizawa; Keigo Tani; Atsushi Shimizu; Junichi Kaneko; Taku Aoki; Yoshihiro Sakamoto; Yasuhiko Sugawara; Kiyoshi Hasegawa; Norihiro Kokudo
Journal:  J Am Coll Surg       Date:  2015-05-13       Impact factor: 6.113

3.  The accuracy of frozen-section diagnoses in 34 hospitals.

Authors:  P J Howanitz; G G Hoffman; R J Zarbo
Journal:  Arch Pathol Lab Med       Date:  1990-04       Impact factor: 5.534

4.  Pancreatic resection for M1 pancreatic ductal adenocarcinoma.

Authors:  Shailesh V Shrikhande; Jörg Kleeff; Carolin Reiser; Jürgen Weitz; Ulf Hinz; Irene Esposito; Jan Schmidt; Helmut Friess; Markus W Büchler
Journal:  Ann Surg Oncol       Date:  2006-10-25       Impact factor: 5.344

5.  Indocyanine green (ICG) fluorescence imaging-guided cholangiography for donor hepatectomy in living donor liver transplantation.

Authors:  S Mizuno; S Isaji
Journal:  Am J Transplant       Date:  2010-11-09       Impact factor: 8.086

6.  Intraoperative assessment of reconstructed vessels in living-donor liver transplantation, using a novel fluorescence imaging technique.

Authors:  Keiichi Kubota; Junji Kita; Mitsugi Shimoda; Kyu Rokkaku; Masato Kato; Yukihiro Iso; Tokihiko Sawada
Journal:  J Hepatobiliary Pancreat Surg       Date:  2006

7.  Accuracy of actual resected liver volume in anatomical liver resections guided by 3-dimensional parenchymal staining using fusion indocyanine green fluorescence imaging.

Authors:  Jian Yang; Hai-Su Tao; Wei Cai; Wen Zhu; Dong Zhao; Hao-Yu Hu; Jun Liu; Chi-Hua Fang
Journal:  J Surg Oncol       Date:  2018-10-07       Impact factor: 3.454

8.  Indocyanine Green Near-Infrared Fluorescence in Pure Laparoscopic Living Donor Hepatectomy: a Reliable Road Map for Intra-Hepatic Ducts ?

Authors:  F Tomassini; A Scarinci; Y Elsheik; V Scuderi; D Broering; R I Troisi
Journal:  Acta Chir Belg       Date:  2015-01       Impact factor: 1.090

9.  A review of indocyanine green fluorescent imaging in surgery.

Authors:  Jarmo T Alander; Ilkka Kaartinen; Aki Laakso; Tommi Pätilä; Thomas Spillmann; Valery V Tuchin; Maarit Venermo; Petri Välisuo
Journal:  Int J Biomed Imaging       Date:  2012-04-22

10.  Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging.

Authors:  Ya-Min Zhang; Rui Shi; Jian-Cun Hou; Zi-Rong Liu; Zi-Lin Cui; Yang Li; Di Wu; Yuan Shi; Zhong-Yang Shen
Journal:  J Cancer Res Clin Oncol       Date:  2016-09-14       Impact factor: 4.553

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  3 in total

Review 1.  Intraoperative fluorescence molecular imaging accelerates the coming of precision surgery in China.

Authors:  Zeyu Zhang; Kunshan He; Chongwei Chi; Zhenhua Hu; Jie Tian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-03-01       Impact factor: 10.057

2.  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

Review 3.  Applications of Magnetic Particle Imaging in Biomedicine: Advancements and Prospects.

Authors:  Xue Yang; Guoqing Shao; Yanyan Zhang; Wei Wang; Yu Qi; Shuai Han; Hongjun Li
Journal:  Front Physiol       Date:  2022-07-01       Impact factor: 4.755

  3 in total

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