Abstract
This chapter introduces a three-dimensional (3D) visualization navigation system and its clinical application in preoperative planning, intraoperative positioning, and postoperative assessment during microwave ablation of liver tumors, respectively. Compared with two-dimensional preoperative planning group, the 3D visualization preoperative planning group has a higher successful rate of first ablation and less number of sessions. The 3D visualization navigation system has the advantage of image fusion in commercial navigation system; in addition, 3D visualization image will provide more information for microwave ablation and enhance ablation efficacy and decrease the complication. In postoperative assessment, 3D visualization navigation system could visually and quantitatively display the postoperative efficacy of microwave ablation in liver cancer. Therefore, the 3D visualization navigation system has a relatively high clinical application value in the whole process of microwave ablation for liver cancer.
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Abbreviations
- 2D:
-
Two-dimensional
- 3D:
-
Three-dimensional
References
Bruix J, Hessheimer AJ, Forner A, Boix L, Vilana R, Llovet JM. New aspects of diagnosis and therapy of hepatocellular carcinoma. Oncogene. 2006;25:3848–56.
Liang P, Wang Y. Microwave ablation of hepatocellular carcinoma. Oncology. 2007;72 Suppl 1:124–31.
Sindram D, Swan RZ, Lau KN, McKillop IH, Iannitti DA, Martinie JB. Real-time three-dimensional guided ultrasound targeting system for microwave ablation of liver tumours: a human pilot study. HPB (Oxford). 2011;13(3):185–91.
Xu J, Jia ZZ, Song ZJ, Yang XD, Chen K, Liang P. Three-dimensional ultrasound image-guided robotic system for accurate microwave coagulation of malignant liver tumours. Int J Med Robot. 2010;6(3):256–68.
Conversano F, Franchini R, Demitri C, Massoptier L, Montagna F, Maffezzoli A, Malvasi A, Casciaro S. Hepatic vessel segmentation for 3D planning of liver surgery experimental evaluation of a new fully automatic algorithm. Acad Radiol. 2011;18(4):461–70.
Radtke A, Sotiropoulos GC, Molmenti EP, Schroeder T, Peitgen HO, Frilling A, Broering DC, Broelsch CE, Malago’ M. Computer-assisted surgery planning for complex liver resections: when is it helpful? A single-center experience over an 8-year period. Ann Surg. 2010;252(5):876–83.
Lang H, Radtke A, Hindennach M, Schroeder T, Frühauf NR, Malagó M, Bourquain H, Peitgen HO, Oldhafer KJ, Broelsch CE. Impact of virtual tumor resection and computer-assisted risk analysis on operation planning and intraoperative strategy in major hepatic resection. Arch Surg. 2005;140(7):629–38.
Delingette H, Ayache N. Hepatic surgery simulation. Commun ACM. 2005;48(2):31–6.
Hansen C, Wieferich J, Ritter F, Rieder C, Peitgen HO. Illustrative visualization of 3D planning models for augmented reality in liver surgery. Int J Comput Assist Radiol Surg. 2010;5(2):133–41.
Schwier M, Dicken V, Peitgen H. 3D visualization of vascular structures around liver tumors using fuzzy clustering. Proc CARS. 2008;3:403–4.
Rieder C, Schwier M, Weihusen A, Zidowitz S, Peitgen HO. Visualization of risk structures for interactive planning of image guided radiofrequency ablation of liver tumors. Proc SPIE. 2009;7261:1–9.
Knowles BR, Caulfield D, Cooklin M, Rinaldi CA, Gill J, Bostock J, Razavi R, Schaeffter T, Rhode KS. 3-D visualization of acute RF ablation lesions using MRI for the simultaneous determination of the patterns of necrosis and edema. IEEE Trans Biomed Eng. 2010;57(6):1467–75.
Schumann C, Bieberstein J, Braunewell S, Niethammer M, Peitgen HO. Visualization support for the planning of hepatic needle placement. Int J Comput Assist Radiol Surg. 2012;7(2):191–7.
Zhai W, Xu J, Zhao Y, Song Y, Sheng L, Jia P. Preoperative surgery planning for percutaneous hepatic microwave ablation. Med Image Comput Comput Assist Interv. 2008;11(Pt 2):569–77.
Liu F, Liang P, Yu X, Lu T, Cheng Z, Lei C, Han Z. Three-dimensional visualization preoperative treatment planning system in microwave ablation for liver cancer: a preliminary clinical application. Int J Hyperthermia. 2013;29(7):671–7.
Sato K, Morikawa S, Inubushi T, Kurumi Y, Naka S, Haque HA, Demura K, Tani T. Alternate biplanar MR navigation for microwave ablation of liver tumors. Magn Reson Med Sci. 2005;4(2):89–94.
Morikawa S, Inubushi T, Kurumi Y, Naka S, Sato K, Demura K, Tani T, Haque HA. Feasibility of respiratory triggering for MR-guided microwave ablation of liver tumors under general anesthesia. Cardiovasc Intervent Radiol. 2004;27(4):370–3.
Keserci BM, Kokuryo D, Suzuki K, Kumamoto E, Okada A, Khankan AA, Kuroda K. Near-real-time feedback control system for liver thermal ablations based on self-referenced temperature imaging. Eur J Radiol. 2006;59(2):175–82.
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Liu, FY., Liang, P. (2015). Clinical Application of Three-Dimensional Visualization Techniques in Microwave Ablation for Liver Cancer. In: Liang, P., Yu, Xl., Yu, J. (eds) Microwave Ablation Treatment of Solid Tumors. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9315-5_27
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DOI: https://doi.org/10.1007/978-94-017-9315-5_27
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