scholarly journals Computer-assisted needle trajectory planning and mathematical modeling for liver tumor thermal ablation: A review

2019 ◽  
Vol 16 (5) ◽  
pp. 4846-4872 ◽  
Author(s):  
Rui Zhang ◽  
◽  
Shuicai Wu ◽  
Weiwei Wu ◽  
Hongjian Gao ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Trajectory Planning ◽  
Liver Tumor ◽  
Thermal Ablation ◽  
Computer Assisted ◽  
Needle Trajectory

State of the Art in Computer-Assisted Planning, Intervention, and Assessment of Liver-Tumor Ablation

2010 ◽  
Vol 38 (1) ◽  
pp. 31-52 ◽  
Author(s):  
Christian Schumann ◽  
Christian Rieder ◽  
Jennifer Bieberstein ◽  
Andreas Weihusen ◽  
Stephan Zidowitz ◽  
...  
Keyword(s):  
Liver Tumor ◽  
State Of The Art ◽  
Tumor Ablation ◽  
Computer Assisted ◽  
Planning Intervention

Percutaneous liquid ablation agent for tumor treatment and drug delivery

2021 ◽  
Vol 13 (580) ◽  
pp. eabe3889
Author(s):  
Hassan Albadawi ◽  
Zefu Zhang ◽  
Izzet Altun ◽  
Jingjie Hu ◽  
Leila Jamal ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Ionic Liquid ◽  
Liver Tumor ◽  
Thermal Ablation ◽  
Liver Tumors ◽  
Low Cost ◽  
Drug Distribution ◽  
Tumor Model ◽  
Ablation Zone ◽  
Synergistic Cytotoxicity

Percutaneous locoregional therapies (LRTs), such as thermal ablation, are performed to limit the progression of hepatocellular carcinoma (HCC) and offer a bridge for patients waiting for liver transplantation. However, physiological challenges related to tumor location, size, and existence of multiple lesions as well as safety concerns related to potential thermal injury to adjacent tissues may preclude the use of thermal ablation or lead to its failure. Here, we showed a successful injection of an ionic liquid into tissue under image guidance, ablation of tumors in response to the injected ionic liquid, and persistence (28 days) of coinjected chemotherapy with the ionic liquid in the ablation zone. In a rat HCC model, the rabbit VX2 liver tumor model, and 12 human resected tumors, injection of the ionic liquid led to consistent tumor ablation. Combining the ionic liquid with the chemotherapy agent, doxorubicin, resulted in synergistic cytotoxicity when tested with cultured HCC cells and uniform drug distribution throughout the ablation zone when percutaneously injected into liver tumors in the rabbit liver tumor model. Because this ionic liquid preparation is simple to use, is efficacious, and has a low cost, we propose that this new LRT may bridge more patients to liver transplantation.

Mathematical Modeling of Thermal Ablation

2010 ◽  
Vol 38 (1) ◽  
pp. 21-30 ◽  
Author(s):  
Stephen J. Payne ◽  
T. Peng ◽  
D. P. O'Neill
Keyword(s):  
Mathematical Modeling ◽  
Thermal Ablation

A Dual-Mode Microwave Applicator for Liver Tumor Thermotherapy

Frequenz ◽  
2018 ◽  
Vol 72 (3-4) ◽  
pp. 141-149 ◽  
Author(s):  
Carolin Reimann ◽  
Martin Schüßler ◽  
Rolf Jakoby ◽  
Babak Bazrafshan ◽  
Frank Hübner ◽  
...  
Keyword(s):  
Power Consumption ◽  
Liver Tumor ◽  
Thermal Ablation ◽  
Multimodal Imaging ◽  
Microwave Ablation ◽  
Dielectric Analysis ◽  
Frequency Range ◽  
Dual Mode ◽  
Microwave Applicator ◽  
5 Ghz

Abstract The concept of a novel dual-mode microwave applicator for diagnosis and thermal ablation treatment of tumorous tissue is presented in this paper. This approach is realized by integrating a planar resonator array to, firstly, detect abnormalities by a relative dielectric analysis, and secondly, perform a highly localized thermal ablation. A further essential advantage is addressed by designing the applicator to be MRI compatible to provide a multimodal imaging procedure. Investigations for an appropriate frequency range lead to the use of much higher operating frequencies between 5 GHz and 10 GHz, providing a significantly lower power consumption for microwave ablation of only 20 W compared to commercial available applicators.

scholarly journals Multicenter Experience in Translumbar Type II Endoleak Treatment in the Hybrid Room With Needle Trajectory Planning and Fusion Guidance

2018 ◽  
Vol 68 (2) ◽  
pp. e12-e13
Author(s):  
Robert Rhee ◽  
Gsutavo Oderich ◽  
Adrien Hertault ◽  
Emmanuel Tenorio ◽  
Michael Shih ◽  
...  
Keyword(s):  
Trajectory Planning ◽  
Type Ii ◽  
Type Ii Endoleak ◽  
Needle Trajectory

Computer‐assisted pedicle screw trajectory planning using CT‐inferred bone density: A demonstration against surgical outcomes

2019 ◽  
Vol 46 (8) ◽  
pp. 3543-3554 ◽  
Author(s):  
Dejan Knez ◽  
Imad S. Nahle ◽  
Tomaž Vrtovec ◽  
Stefan Parent ◽  
Samuel Kadoury
Keyword(s):  
Bone Density ◽  
Pedicle Screw ◽  
Trajectory Planning ◽  
Surgical Outcomes ◽  
Computer Assisted

Knowledge Mining in DSS Model Analysis

2011 ◽  
pp. 157-169
Author(s):  
David M. Steiger ◽  
Natalie M. Steiger
Keyword(s):  
Mathematical Modeling ◽  
Model Analysis ◽  
Computer Assisted ◽  
Model Formulation ◽  
Science Operations ◽  
Complex Decision Making ◽  
Basic Purpose ◽  
Complex Decision ◽  
Primary Focus ◽  
Insightful Analysis

The three stages of mathematical modeling include model formulation, solution and analysis. To date, the primary focus of model-based decision support systems (DSS), in general, and Management Science/Operations Research (MS/OR), specifically, has been on model formulation and solution. In fact, with a few notable exceptions, computer-assisted model analysis has been ignored in both information systems (IS) and MS/OR literature (Swanson & Ramiller, 1993). This lack of attention to model analysis is especially noteworthy for two reasons. First, the primary bottleneck of modeling is in the analysis and interpretation of model results (Greenberg, 1993). Second, the basic purpose of DSS and mathematical modeling is insightful understanding of the modeled environment through insightful analysis (Geoffrion, 1976; Steiger, 1998). Developing insight into the complex decision-making environment is ultimately a process of discovery, finding trends and surprising behaviors and comparing the behavior of the model to what is expected or observed in the real system (Jones, 1992). Thus, insightful understanding often entails the inductive analysis of several (if not many) model instances (i.e., what-if cases), each of which has one or more different values for input parameters in an attempt to understand the associated changes in the modeled output.

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