Hepatoma carcinoma cell ablation system based on steep pulse

Abstract

The invention relates to the technical field of medical instruments, and provides a steep pulse-based ablation system and method for liver cancer cells, and the system comprises a tumor feature recognition module which is used for obtaining imaging images of the liver cancer cells and recognizing tumor features, blood supply conditions and tumor centers of the liver cancer cells; the electrode inlet setting module is used for setting a safety boundary of liver cancer cells and setting an ablation area and a focus skin surface of the liver cancer cells based on the safety boundary and tumor characteristics; the ablation effect analysis module is used for calculating the electrode depth and the electrode angle of the liver cancer cells and analyzing the coverage effect of an ablation area; the electric field intensity identification module is used for analyzing cell membrane characteristics of the hepatoma cells, identifying the electroporation effect of the hepatoma cells and identifying the electric field intensity of the hepatoma cells; and the steep pulse ablation module is used for performing ablation treatment on the liver cancer cells in combination with the electric field intensity and a pulse generator to obtain an ablation result. The invention aims to avoid heat injury of surrounding tissues and improve the ablation effect of liver cancer cells.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and particularly to an ablation system for liver cancer cells based on steep pulses. Background Art

[0002] Ablation of liver cancer cells based on steep pulses refers to a new type of tumor ablation technology that destroys the cell membranes of tumor cells and causes apoptosis of tumor cells by applying high-voltage DC pulses between electrodes. This technology can effectively protect important vascular structures and, at the same time, can improve the long-term curative effect of patients by affecting the immune response. With the rapid development and innovation of medical technology, the field of tumor treatment has continuously witnessed new breakthroughs and challenges. For liver cancer, as a malignant tumor with a high incidence and high mortality rate, the innovation of its treatment methods is particularly important.

[0003] Traditional ablation of liver cancer cells is mainly achieved by radiofrequency ablation technology. Although this technology has achieved certain effects in the early treatment of early-stage liver cancer, when treating near important structures such as blood vessels and the heart, it may cause thermal damage to important tissues such as surrounding blood vessels or nerves, resulting in limited ablation effects. Summary of the Invention

[0004] The present invention provides an ablation system for liver cancer cells based on steep pulses, and its main purpose is to avoid thermal damage to surrounding tissues and improve the ablation effect of liver cancer cells.

[0005] To achieve the above object, an ablation system for liver cancer cells based on steep pulses provided by the present invention includes: a tumor feature recognition module, an electrode entry setting module, an ablation effect analysis module, an electric field strength recognition module, and a steep pulse ablation module;

[0006] The tumor feature recognition module is used to obtain liver cancer cells to be ablated, collect imaging images of the liver cancer cells, identify the tumor features of the liver cancer cells based on the imaging images, analyze the blood supply situation of the liver cancer cells, and identify the tumor center of the liver cancer cells;

[0007] The electrode entry setting module is used to set the safety boundary of the liver cancer cells according to the tumor center, set the ablation area of the liver cancer cells based on the safety boundary and the tumor features, locate the tumor position of the liver cancer cells, identify the skin surface of the lesion of the liver cancer cells according to the tumor position, and set the electrode entry point from the skin surface of the lesion to the tumor center based on the tumor features and the blood supply situation;

[0008] The ablation effect analysis module is used to set the electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location, and the safety margin, calculate the electrode depth from the electrode entry point to the tumor center, calculate the electrode angle from the skin surface of the lesion to the electrode path, and analyze the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle;

[0009] The electric field intensity identification module is used to identify the type of adjacent tissue of the liver cancer cells, analyze the tissue characteristics of the type of adjacent tissue, set the electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect, analyze the cell membrane characteristics of the liver cancer cells, identify the electroporation effect of the liver cancer cells according to the cell membrane characteristics, and identify the electric field intensity of the liver cancer cells according to the electroporation effect;

[0010] The steep pulse ablation module is used to configure the pulse generator of the liver cancer cells, set the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field intensity, and perform ablation treatment on the liver cancer cells in combination with the electric field intensity and the pulse generator to obtain an ablation result.

[0011] Optionally, identifying the tumor characteristics of the liver cancer cells based on the imaging image includes:

[0012] Identifying the tumor region of the liver cancer cells based on the imaging image;

[0013] Performing image segmentation processing on the tumor region to obtain a target tumor;

[0014] Extracting the structural characteristics of the target tumor and identifying the blood supply characteristics and metabolic characteristics of the target tumor;

[0015] Identifying the tumor characteristics of the liver cancer cells by combining the structural characteristics, the blood supply characteristics, and the metabolic characteristics.

[0016] Optionally, setting the electrode entry point from the skin surface of the lesion to the tumor center based on the tumor characteristics and the blood supply condition includes:

[0017] Identifying the geometric morphology of the liver cancer cells based on the tumor characteristics;

[0018] Analyzing the ablation range and the surrounding tissue structure of the liver cancer cells according to the geometric morphology;

[0019] Analyzing the risk effect of the ablation range on the surrounding tissue structure;

[0020] Identifying the electrode risk of the liver cancer cells according to the blood supply condition;

[0021] Set the electrode entry point from the skin surface of the lesion to the center of the tumor in combination with the risk effect and the electrode risk.

[0022] Optionally, setting the electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location and the safety margin includes:

[0023] Identify the adjacent tissues of the liver cancer cells based on the tumor location;

[0024] Analyze the position characteristics of the adjacent tissues, and identify the reliability of the safety margin according to the position characteristics;

[0025] Analyze the invasion risk of the electrode entry point to the adjacent tissues;

[0026] Identify the blood supply pattern of the liver cancer cells according to the tumor location;

[0027] Analyze the ablation effect of the liver cancer cells based on the blood supply pattern;

[0028] Set the electrode path of the liver cancer cells in combination with the reliability and the ablation effect.

[0029] An ablation method for liver cancer cells based on steep pulses, characterized in that the method includes:

[0030] Obtain the liver cancer cells to be ablated, collect the imaging images of the liver cancer cells, identify the tumor characteristics of the liver cancer cells based on the imaging images, analyze the blood supply of the liver cancer cells, and identify the center of the tumor of the liver cancer cells;

[0031] Set the safety margin of the liver cancer cells according to the tumor center, set the ablation area of the liver cancer cells based on the safety margin and the tumor characteristics, locate the tumor location of the liver cancer cells, identify the skin surface of the lesion of the liver cancer cells according to the tumor location, and set the electrode entry point from the skin surface of the lesion to the center of the tumor based on the tumor characteristics and the blood supply;

[0032] Set the electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location and the safety margin, calculate the electrode depth from the electrode entry point to the center of the tumor, calculate the electrode angle from the skin surface of the lesion to the electrode path, and analyze the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle;

[0033] Identify the types of tissues adjacent to the liver cancer cells, analyze the tissue characteristics of the adjacent tissue types, set the electrode types of the liver cancer cells based on the tissue characteristics and the coverage effect, analyze the cell membrane characteristics of the liver cancer cells, and identify the electroporation effect of the liver cancer cells according to the cell membrane characteristics. Identify the electric field strength of the liver cancer cells according to the electroporation effect;

[0034] Configure the pulse generator for the liver cancer cells, set the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field strength, combine the electric field strength and the pulse generator, and perform ablation treatment on the liver cancer cells to obtain an ablation result.

[0035] Based on the imaging images, the present invention analyzes the blood supply of the liver cancer cells, can evaluate the angiogenesis ability of the tumor, judge its invasiveness and metastasis risk. By analyzing the blood supply, the positions of large blood vessels around the tumor can be determined, avoiding placing electrodes in these areas, reducing the heat sink effect, and improving the ablation effect. Secondly, in the embodiments of the present invention, by setting a safety margin for the liver cancer cells according to the tumor center, it can be ensured that the ablation area not only covers the tumor itself, but also includes a small part of normal tissue around the tumor, so as to ensure that the tumor cells are completely ablated. By positioning the tumor location of the liver cancer cells and identifying the skin surface of the lesion of the liver cancer cells according to the tumor location, the placement position of the electrode can be navigated more accurately during the operation, ensuring that the electrode accurately reaches the tumor center and the safety margin around it, reducing the treatment error caused by inaccurate positioning, and improving the accuracy of treatment. Further, in the embodiments of the present invention, by analyzing the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle, the optimal ablation plan can be found, ensuring that the entire tumor area is effectively treated, avoiding unnecessary thermal damage, and protecting the functions of surrounding organs. Again, in the embodiments of the present invention, by analyzing the cell membrane characteristics of the liver cancer cells and identifying the electroporation effect of the liver cancer cells according to the cell membrane characteristics, the electroporation parameters can be optimized to achieve effective ablation of the liver cancer cells. Through the electroporation effect, the electric field intensity of the liver cancer cells can be identified to determine the electric field threshold that can cause apoptosis or necrosis of the cells, optimize the parameters of electroporation, and achieve the maximum treatment effect and the minimum side effects. Finally, in the embodiments of the present invention, by combining the electric field intensity with the pulse generator to perform steep pulse ablation treatment on the liver cancer cells and obtaining the steep pulse ablation result, the liver cancer cells can be ablated through the physical effect generated by the electric field, protecting important structures such as surrounding blood vessels, bile ducts and nerves, avoiding thermal damage, reducing the risk of complications. At the same time, the steep pulse ablation technology can complete the ablation of the tumor in a shorter time, reducing the operation time, improving the treatment efficiency, and using its tissue selectivity, it can more accurately target the liver cancer cells and improve the ablation effect. Therefore, an ablation system and method for liver cancer cells based on steep pulses provided by the embodiments of the present invention can avoid thermal damage to surrounding tissues and improve the ablation effect of liver cancer cells. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a functional module diagram of an ablation system for liver cancer cells based on steep pulses provided by an embodiment of the present invention;

[0037] Figure 2 It is a schematic flowchart of an ablation method for liver cancer cells based on steep pulses provided by an embodiment of the present invention.

[0038] The realization, functional features and advantages of the present invention will be further described in conjunction with embodiments and with reference to the accompanying drawings. Detailed implementation manners

[0039] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0040] In addition, the sequence of steps in the following method embodiments is only an example and not strictly limited.

[0041] In fact, the server device deployed by the ablation system of liver cancer cells based on steep pulses may be composed of one or more devices. The above ablation system of liver cancer cells based on steep pulses can be implemented as: a service instance, a virtual machine, or a hardware device. For example, the ablation system of liver cancer cells based on steep pulses can be implemented as a service instance deployed on one or more devices in a cloud node. Simply put, the live broadcast service system can be understood as a software deployed on a cloud node for providing services of ablating liver cancer cells based on steep pulses to each client. Alternatively, the ablation system of liver cancer cells based on steep pulses can also be implemented as a virtual machine deployed on one or more devices in a cloud node. An application software for managing each client is installed in the virtual machine. Alternatively, the ablation system of liver cancer cells based on steep pulses can also be implemented as a server composed of many identical or different types of hardware devices, and one or more hardware devices are set to provide services of ablating liver cancer cells based on steep pulses to each client.

[0042] In terms of implementation form, the ablation system of liver cancer cells based on steep pulses and the client adapt to each other. That is, if the ablation system of liver cancer cells based on steep pulses is an application installed on a cloud service platform, the client is a client that establishes a communication connection with the application; or if the ablation system of liver cancer cells based on steep pulses is implemented as a website, the client is implemented as a web page; or if the ablation system of liver cancer cells based on steep pulses is implemented as a cloud service platform, the client is implemented as a mini-program in an instant messaging application.

[0043] Refer to Figure 1 As shown, it is a functional module diagram of an ablation system of liver cancer cells based on steep pulses provided by an embodiment of the present invention.

[0044] The ablation system 100 for liver cancer cells based on steep pulses according to the present invention can be set in a cloud server. In terms of implementation form, it can be used as one or more service devices, or can be installed as an application on the cloud (such as the server of a live service operator, a server cluster, etc.), or can also be developed into a website. According to the functions to be achieved, the ablation system 100 for liver cancer cells based on steep pulses includes a tumor feature recognition module 101, an electrode inlet setting module 102, an ablation effect analysis module 103, an electric field strength recognition module 104, and a steep pulse ablation module 105.

[0045] In the embodiments of the present invention, in the tracking of the ablation of liver cancer cells based on steep pulses, each of the above modules can be independently implemented and called with other modules. Here, the call can be understood as that a certain module can be connected to multiple modules of another type and provide corresponding services for the multiple modules it is connected to. In the ablation system for liver cancer cells based on steep pulses provided by the embodiments of the present invention, without modifying the program code, the applicable range of the ablation architecture for liver cancer cells based on steep pulses can be adjusted by adding modules and directly calling, so as to achieve cluster-level expansion, so as to achieve the purpose of quickly and flexibly expanding the ablation system for liver cancer cells based on steep pulses. In practical applications, the above modules can be set in the same device or different devices, or can also be set in virtual devices, such as service instances in a cloud server.

[0046] Next, specific embodiments are combined to illustrate each component and the specific working process of the ablation system for liver cancer cells based on steep pulses respectively.

[0047] The tumor feature recognition module 101 is used to obtain the liver cancer cells to be ablated, collect the imaging images of the liver cancer cells, identify the tumor features of the liver cancer cells based on the imaging images, analyze the blood supply situation of the liver cancer cells, and identify the tumor center of the liver cancer cells.

[0048] In the embodiments of the present invention, by obtaining the liver cancer cells to be ablated and collecting the imaging images of the liver cancer cells, tumor information can be obtained, providing data support for the subsequent ablation treatment of liver cancer cells. The liver cancer cells refer to malignant tumor cells existing in the liver, and the imaging images refer to the images of liver cancer cells and their surrounding tissues obtained through medical imaging techniques, such as ultrasound, CT, MRI techniques, etc.

[0049] Optionally, the acquisition of the liver cancer cells to be ablated can be realized by using a fine needle electrode, and the acquisition of the imaging images of the liver cancer cells can be obtained through ultrasonic technology.

[0050] Furthermore, in the embodiments of the present invention, by identifying the tumor characteristics of the liver cancer cells based on the imaging images, the specific location, size, shape of the tumor in the liver and its adjacent relationship with the surrounding tissues can be accurately determined, and by observing the blood vessel distribution around the tumor, the blood supply of the tumor can be evaluated. The tumor characteristics refer to various information about the liver cancer cells and their surrounding tissues obtained through imaging images, such as the size and shape of the tumor.

[0051] As an embodiment of the present invention, the identifying the tumor characteristics of the liver cancer cells based on the imaging images includes: identifying the tumor region of the liver cancer cells based on the imaging images; performing image segmentation processing on the tumor region to obtain a target tumor; extracting the structural characteristics of the target tumor and identifying the blood supply characteristics and metabolic characteristics of the target tumor; and combining the structural characteristics, the blood supply characteristics and the metabolic characteristics to identify the tumor characteristics of the liver cancer cells.

[0052] Wherein, the tumor region refers to the region where the liver cancer is located identified on the imaging image, the target tumor refers to the tumor segmented from the imaging image with specific characteristics, the structural characteristics refer to the morphological characteristics of the tumor, such as shape, edge, internal structure, etc., the blood supply characteristics refer to the blood vessel supply situation of the tumor, and the metabolic characteristics refer to the metabolic activity characteristics of the tumor, including the metabolic rate of the tumor, the types and quantities of metabolites, etc.

[0053] Optionally, the identification of the blood supply characteristics of the target tumor can be obtained through enhanced imaging examinations, and the identification of the metabolic characteristics of the target tumor can be achieved by using functional imaging techniques, such as positron emission tomography (PET).

[0054] In the embodiments of the present invention, by analyzing the blood supply of the liver cancer cells based on the imaging images, the angiogenesis ability of the tumor can be evaluated, and its invasiveness and metastasis risk can be judged. By analyzing the blood supply, the positions of the large blood vessels around the tumor can be determined, avoiding placing the electrodes in these areas, reducing the heat sink effect, and improving the ablation effect. The blood supply refers to the blood supply status of the liver cancer cells and their surrounding tissues obtained through imaging images.

[0055] Optionally, the analysis of the blood supply of the liver cancer cells based on the imaging images can be obtained by injecting a contrast agent and observing the enhancement of the tumor at different time points.

[0056] Furthermore, in the embodiments of the present invention, by identifying the tumor center of the liver cancer cells based on the imaging images, it can be ensured that the electrodes are placed in the core area of the tumor to optimize the treatment parameters of the liver cancer cells. The tumor center refers to the midpoint of the liver cancer cell tumor determined through imaging images.

[0057] Optionally, based on the imaging image, the identification of the tumor center of the liver cancer cells can be achieved by using image segmentation software to automatically identify the boundary of the tumor and calculate the geometric center of the tumor.

[0058] The electrode inlet setting module 102 is configured to set a safety margin for the liver cancer cells according to the tumor center, set an ablation area for the liver cancer cells based on the safety margin and the tumor characteristics, locate the tumor position of the liver cancer cells, identify the skin surface of the lesion of the liver cancer cells according to the tumor position, and set an electrode entry point from the skin surface of the lesion to the tumor center based on the tumor characteristics and the blood supply condition.

[0059] In an embodiment of the present invention, by setting a safety margin for the liver cancer cells according to the tumor center, it can be ensured that the ablation area covers not only the tumor itself but also a small part of the normal tissue around the tumor, so as to ensure that the tumor cells are completely ablated. The safety margin refers to an additional ablation area set around the tumor in the ablation treatment of liver cancer cells to ensure complete ablation of the tumor and protection of the surrounding normal tissue.

[0060] Optionally, the setting of the safety margin for the liver cancer cells according to the tumor center can be obtained by generating a layer of area in the normal tissue outside the tumor.

[0061] Furthermore, in an embodiment of the present invention, by setting the ablation area for the liver cancer cells based on the safety margin and the tumor characteristics, it can be avoided that the electrodes are placed close to important organs and blood vessels, reducing the damage to the surrounding normal tissue. The ablation area refers to the area where actual ablation treatment is performed through the steep pulse technology or other ablation methods in the ablation treatment of liver cancer cells.

[0062] Optionally, the setting of the ablation area for the liver cancer cells based on the safety margin and the tumor characteristics can be obtained by using functional imaging analysis software, such as FSL software.

[0063] In an embodiment of the present invention, by locating the tumor position of the liver cancer cells and identifying the skin surface of the lesion of the liver cancer cells according to the tumor position, the placement position of the electrodes can be more accurately navigated during the operation, ensuring that the electrodes accurately reach the tumor center and the safety margin around it, reducing the treatment error caused by inaccurate positioning, and improving the accuracy of the treatment. The tumor position is the specific position of the liver cancer cells in the liver, including the geometric center and boundary of the tumor. The skin surface of the lesion refers to the corresponding area of the tumor position on the skin surface, including the marks and characteristics on the skin.

[0064] Optionally, the tumor location of the liver cancer cells can be obtained by CT scan. Based on the tumor location, the identification of the skin surface of the lesion of the liver cancer cells can be achieved by using imaging techniques, such as magnetic resonance imaging technology.

[0065] In an embodiment of the present invention, by setting the electrode entry point from the skin surface of the lesion to the center of the tumor based on the tumor characteristics and the blood supply situation, a safe electrode path can be planned to avoid important blood vessels, nerves and other key structures, reducing the risk of complications during the electrode process. The electrode entry point refers to the electrode point from the skin surface of the lesion to the center of the tumor in the ablation treatment of liver cancer cells.

[0066] As an embodiment of the present invention, setting the electrode entry point from the skin surface of the lesion to the center of the tumor based on the tumor characteristics and the blood supply situation includes: identifying the geometric shape of the liver cancer cells based on the tumor characteristics; analyzing the ablation range and the surrounding tissue structure of the liver cancer cells according to the geometric shape; analyzing the risk effect of the ablation range on the surrounding tissue structure; identifying the electrode risk of the liver cancer cells according to the blood supply situation; and setting the electrode entry point from the skin surface of the lesion to the center of the tumor by combining the risk effect and the electrode risk.

[0067] Among them, the geometric shape refers to the shape, size and boundary of the liver cancer cell tumor, the ablation range refers to the area where ablation treatment is actually carried out in the ablation treatment, the surrounding tissue structure refers to the normal tissues and important organs around the tumor, such as the liver, bile duct, blood vessels, etc., the risk effect refers to the potential risk and impact of the ablation range on the surrounding tissue structure, and the electrode risk refers to the risks that may be encountered during the electrode process, such as important organs and blood vessels on the electrode path, bleeding risk, etc.

[0068] Optionally, the analysis of the risk effect of the ablation range on the surrounding tissue structure can be achieved by using a bio-thermal damage model. The identification of the electrode risk of the liver cancer cells according to the blood supply situation can be obtained by detecting blood markers, such as AFP markers.

[0069] The ablation effect analysis module 103 is used to set the electrode path of the liver cancer cells by combining the electrode entry point, the tumor location and the safety margin, calculate the electrode depth from the electrode entry point to the center of the tumor, calculate the electrode angle from the skin surface of the lesion to the electrode path, and analyze the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle.

[0070] In the embodiments of the present invention, by combining the electrode entry point, the tumor location, and the safety margin, the electrode path for liver cancer cells is set, which can ensure that the ablation needle accurately reaches the tumor location, covers the entire tumor area, and through a reasonable electrode path, avoids important tissue structures, reducing the risk of damage to these structures during ablation. The electrode path refers to the electrode route from the skin surface of the lesion to the tumor center.

[0071] As an embodiment of the present invention, the setting of the electrode path for liver cancer cells by combining the electrode entry point, the tumor location, and the safety margin includes: based on the tumor location, identifying the adjacent tissues of the liver cancer cells; analyzing the position characteristics of the adjacent tissues, and according to the position characteristics, identifying the reliability of the safety margin; analyzing the invasion risk of the electrode entry point to the adjacent tissues; according to the tumor location, identifying the blood supply pattern of the liver cancer cells; based on the blood supply pattern, analyzing the ablation effect of the liver cancer cells; and combining the reliability and the ablation effect to set the electrode path for the liver cancer cells.

[0072] Among them, the adjacent tissues refer to the normal tissues and important organs around the tumor, the position characteristics refer to the specific position and relationship of the adjacent tissues relative to the tumor, including distance, direction, and contact area, etc., the reliability refers to the reliability and effectiveness of the safety margin, the invasion risk refers to the potential risk of the electrode entry point to the adjacent tissues, the blood supply pattern refers to the blood supply situation of the tumor, including the distribution of blood vessels, blood flow volume, and blood flow velocity, etc., and the ablation effect refers to the treatment effect of ablation therapy on the tumor, including the coverage of the ablation area, the uniformity and thoroughness of ablation, etc.

[0073] Optionally, the analysis of the position characteristics of the adjacent tissues can be obtained by evaluating the position relationship between the adjacent tissues and the tumor through imaging images. The identification of the reliability of the safety margin according to the position characteristics can be achieved by using the distance between the tumor and the adjacent tissues. The analysis of the invasion risk of the electrode entry point to the adjacent tissues can be obtained through path planning software, such as OsiriX software. The analysis of the ablation effect of the liver cancer cells based on the blood supply pattern can be realized by using ablation simulation software, such as Comsol Multiphysics simulation software.

[0074] Furthermore, in the embodiments of the present invention, by calculating the electrode depth from the electrode entry point to the tumor center, it can be ensured that the ablation needle starts ablation only after entering the liver parenchyma to a certain depth, leaving enough liver parenchyma for hemostasis, thereby improving the safety of the operation and reducing the risk of complications. The electrode depth refers to the depth at which the electrode needle enters the body from the skin surface to reach the target tumor location during electrode operation.

[0075] In an alternative embodiment of the present invention, the electrode depth from the electrode entry point to the tumor center is calculated using the following formula:

[0076]

[0077] where d represents the electrode depth from the electrode entry point to the tumor center, (X a , Y a , Z a ) represents the coordinates of the tumor center in three-dimensional space, and (X b , Y b , Z b ) represents the coordinates of the electrode entry point in three-dimensional space.

[0078] Furthermore, in the embodiment of the present invention, by calculating the electrode angle from the skin surface of the lesion to the electrode path, the number of adjustments during the operation can be reduced, the operation time can be shortened, and the operation efficiency can be improved. At the same time, by selecting the optimal electrode angle, the damage to surrounding structures can be minimized, and the precise treatment effect of the operation can be improved. The electrode angle refers to the angle formed between the electrode needle and the skin surface during electrode operation.

[0079] In an alternative embodiment of the present invention, the electrode angle from the skin surface of the lesion to the electrode path is calculated using the following formula:

[0080]

[0081] where α represents the electrode angle from the skin surface of the lesion to the electrode path, m, n, q represent the components of the electrode path direction vector, and e, f, -1 represent the components of the normal vector of the fitted skin surface of the lesion. Here, e and f represent the components of the skin surface vector of the lesion on the x-axis and y-axis, and -1 represents the component of the skin surface vector of the lesion on the z-axis, that is, the skin surface vector of the lesion is perpendicular to the xy plane and points in the negative direction of the z-axis.

[0082] In the embodiment of the present invention, by analyzing the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle, the optimal ablation plan can be found to ensure that the entire tumor area is effectively treated, avoid unnecessary thermal damage, and protect the functions of surrounding organs. The coverage effect refers to the range and degree of the target tumor area that can be effectively covered and destroyed when the electrode ablates liver cancer cells.

[0083] As an embodiment of the present invention, analyzing the coverage effect of the ablation region on the liver cancer cells based on the electrode depth and the electrode angle includes: determining the basic shape of the ablation region based on the electrode depth and the electrode angle; identifying the electric field distribution in the ablation region according to the basic shape; analyzing the electric field uniformity in the ablation region based on the electric field distribution; identifying the ablation boundary and the edge expansion area of the ablation region according to the electrode depth and the electrode angle; analyzing the boundary clarity of the ablation boundary and identifying the minimum area of the edge expansion area; and analyzing the coverage effect of the ablation region on the liver cancer cells based on the electric field uniformity, the boundary clarity, and the minimum area.

[0084] Wherein, the basic shape refers to the shape and size of the ablation region, the electric field distribution refers to the intensity and direction of the electric field in the ablation region, the electric field uniformity refers to the consistency of the electric field in the ablation region, the ablation boundary refers to the dividing line between the ablation region and the surrounding unablated tissue, the edge expansion area refers to the part where the ablation region extends outward at the edge, the boundary clarity refers to the obviousness of the dividing line between the ablation region and the surrounding tissue, and the minimum area refers to the minimum size of the ablation region extending into the adjacent cancerous tissue.

[0085] Optionally, the determination of the basic shape of the ablation region based on the electrode depth and the electrode angle can be obtained through the position and direction of the electrode, the identification of the electric field distribution in the ablation region according to the basic shape can be realized by using the finite element method, and the identification of the ablation boundary of the ablation region according to the electrode depth and the electrode angle can be obtained through the nano-knife ablation technique.

[0086] The electric field intensity identification module 104 is configured to identify the type of adjacent cancerous tissue of the liver cancer cells, analyze the tissue characteristics of the adjacent cancerous tissue type, set the electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect, analyze the cell membrane characteristics of the liver cancer cells, identify the electroporation effect of the liver cancer cells according to the cell membrane characteristics, and identify the electric field intensity of the liver cancer cells according to the electroporation effect.

[0087] In the embodiment of the present invention, by identifying the type of adjacent cancerous tissue of the liver cancer cells and analyzing the tissue characteristics of the adjacent cancerous tissue type, electrodes with appropriate sizes and shapes can be selected through the proteome of the adjacent cancerous tissue to ensure the effectiveness and safety of the ablation treatment. The type of adjacent cancerous tissue refers to the attributes of normal or diseased liver tissue around the liver cancer tissue, including cirrhotic tissue, hepatocyte nodules, cholangiocytes, fibrous tissue, etc. The tissue characteristics refer to the characteristics of the adjacent cancerous tissue at the biological, morphological, structural, functional, and molecular levels, such as the conductivity of the tissue.

[0088] Optionally, the identification of the type of adjacent tissue of the liver cancer cells can be obtained through histopathological examination, such as biopsy examination, and the analysis of the tissue characteristics of the adjacent tissue type can be realized by using a mass spectrometer.

[0089] Furthermore, in the embodiments of the present invention, by setting the electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect, the coverage effect of the irreversible electroporation ablation treatment can be maximized, ensuring the accuracy and safety of the treatment. The electrode type refers to different types of electrodes used in irreversible electroporation, such as monopolar electrodes, bipolar electrodes, and multi-polar electrodes.

[0090] As an embodiment of the present invention, setting the electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect includes: identifying the adjacent tissue of the liver cancer cells based on the tissue characteristics and analyzing the conductivity characteristics of the adjacent tissue; identifying the electric field requirements of the liver cancer cells according to the conductivity characteristics and the coverage effect; scheduling the patient's health data and tumor characteristic data of the liver cancer cells; and setting the electrode type of the liver cancer cells according to the patient's health data, the tumor characteristic data, and the electric field requirements.

[0091] Among them, the adjacent tissue refers to the normal or diseased liver tissue around the liver cancer tissue. The conductivity characteristic refers to the ability of the adjacent tissue to conduct current. The electric field requirement refers to the demand parameters such as the intensity, distribution, and action time of the electric field in the ablation area of the liver cancer cells. The patient's health data refers to the overall health status information data of the patient, including liver function, kidney function, coagulation function, and general health status data. The tumor characteristic data refers to the size, location, and shape data of the tumor.

[0092] Optionally, the analysis of the conductivity characteristics of the adjacent tissue can be realized by using magnetic resonance electrical property tomography, and the scheduling of the patient's health data and the tumor characteristic data of the liver cancer cells can be obtained through the patient's examination report.

[0093] In the embodiments of the present invention, by analyzing the cell membrane characteristics of the liver cancer cells and identifying the electroporation effect of the liver cancer cells according to the cell membrane characteristics, the electroporation parameters can be optimized to achieve effective ablation of the liver cancer cells. The cell membrane characteristics refer to the physical and electrophysiological properties of the cell membrane of the liver cancer cells, such as the cell membrane capacitance characteristics. The electroporation effect refers to the temporary or permanent change effect of the cell membrane of the liver cancer cells under the action of an external electric field.

[0094] Optionally, the analysis of the cell membrane characteristics of the liver cancer cells can be realized by using bioelectrical impedance spectroscopy.

[0095] As an embodiment of the present invention, the recognition of the electroporation effect of the liver cancer cells according to the cell membrane characteristics includes: extracting the capacitance parameter and resistance parameter of the liver cancer cells according to the cell membrane characteristics; setting the electroporation intensity of the liver cancer cells based on the capacitance parameter and the resistance parameter; setting the pulse application parameter of the liver cancer cells according to the electroporation intensity; performing an electroporation test on the liver cancer cells based on the electroporation intensity and the pulse application parameter to obtain a test result; and recognizing the electroporation effect of the liver cancer cells based on the test result.

[0096] Among them, the capacitance parameter refers to the ability of the cell membrane to store charges, the resistance parameter refers to the ability of the cell membrane to impede current, the electroporation intensity refers to the potential difference per unit length, the pulse application parameter refers to the pulse duration and pulse number applied to the liver cancer cells, and the test result refers to indicators such as cell survival rate, cell membrane integrity, apoptosis, and necrosis through the electroporation experiment.

[0097] Optionally, the extraction of the capacitance parameter and resistance parameter of the liver cancer cells according to the cell membrane characteristics can be realized by using a bioelectrical impedance analysis instrument. The setting of the electroporation intensity of the liver cancer cells based on the capacitance parameter and the resistance parameter can be obtained through the electroporation threshold of the liver cancer cells, and this threshold is usually between 700 V / cm and 1000 V / cm. The setting of the pulse application parameter of the liver cancer cells according to the electroporation intensity can be realized by using a pulse generator. The electroporation test of the liver cancer cells based on the electroporation intensity and the pulse application parameter can be obtained through an electroporator, such as the BTX ECM 830 electroporator.

[0098] Furthermore, in the embodiment of the present invention, by recognizing the electric field intensity of the liver cancer cells according to the electroporation effect, the electric field threshold that can cause cell apoptosis or necrosis can be determined, and the parameters of electroporation can be optimized to achieve the maximum therapeutic effect and the minimum side effects. The electric field intensity refers to the electric field intensity that needs to be achieved in the steep pulse ablation process to effectively electroporate the liver cancer cells.

[0099] As an embodiment of the present invention, the recognition of the electric field intensity of the liver cancer cells according to the electroporation effect includes: recognizing the applied electric field of the liver cancer cells according to the electroporation effect; extracting the cell membrane of the liver cancer cells and calculating the transmembrane potential of the cell membrane under the applied electric field; setting the ion channel of the cell membrane based on the transmembrane potential; calculating the induced membrane potential of the liver cancer cells according to the ion channel; and recognizing the electric field intensity of the liver cancer cells based on the induced membrane potential.

[0100] Wherein, the applied external electric field refers to the external electric field applied to liver cancer cells through an electroporation device; the cell membrane refers to the external barrier of the cell composed of a phospholipid bilayer; the transmembrane potential refers to the potential difference across both sides of the cell membrane; the ion channel refers to the protein structure on the cell membrane that allows specific ions to pass through; and the induced membrane potential refers to the potential difference that causes irreversible damage to the cell membrane and forms electroporation under the action of the applied external electric field.

[0101] Optionally, according to the electroporation effect, the recognition of the applied external electric field of the liver cancer cells can be obtained through an electroporator, and based on the transmembrane potential, the setting of the ion channels of the cell membrane can be achieved by using the electric field strength and the transmembrane potential.

[0102] In an optional embodiment of the present invention, the following formula is used to calculate the transmembrane potential of the cell membrane under the applied external electric field:

[0103]

[0104] Wherein, p represents the transmembrane potential of the cell membrane under the applied external electric field, T z represents the capacitance per unit cell membrane area, r i represents the conductivity of the external buffer solution of the cell membrane, r j represents the conductivity of the cytoplasm.

[0105] In another optional embodiment of the present invention, according to the ion channel, the following formula is used to calculate the induced membrane potential of the liver cancer cells:

[0106] V crit = A·E ext ·cosθ

[0107] Wherein, V crit represents the induced membrane potential of the liver cancer cells, A represents the cell radius of the liver cancer cells in the ion channel, E ext represents the electric field strength in the ion channel, and cosθ represents the included angle between the radial direction of any point on the cell membrane of the liver cancer cells and the direction of the applied external electric field.

[0108] The steep pulse ablation module 105 is used to configure the pulse generator for the liver cancer cells, and set the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field strength. Combining the electric field strength with the pulse generator, ablation treatment is performed on the liver cancer cells to obtain an ablation result.

[0109] In the embodiments of the present invention, by configuring the pulse generator of the liver cancer cells and setting the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field strength, the distribution and intensity of the electric field can be controlled to ensure that the electroporation effect is limited to the liver cancer cells without affecting the surrounding healthy tissues, improving the accuracy and effectiveness of the treatment and reducing the damage to normal tissues. The pulse generator refers to an electronic device capable of generating pulse signals with specific frequencies, amplitudes, and pulse widths. The pulse parameters refer to several key indicators used to define and control the characteristics of the pulse signals in the pulse generator, such as pulse amplitude and pulse width.

[0110] Optionally, the configuration of the pulse generator of the liver cancer cells can be achieved by using a steep pulse energy generator.

[0111] As an embodiment of the present invention, setting the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field strength includes: identifying the intensity factor of the electric field strength; analyzing the abnormal risk of the electric field strength during the ablation process of the liver cancer cells according to the intensity factor; identifying the adjacent tissue of the liver cancer cells and setting the safety margin of the adjacent tissue based on the abnormal risk; identifying the range of the electric pulse signals of the pulse generator according to the electrode type and the electric field strength; and setting the pulse parameters of the pulse generator for the liver cancer cells by combining the safety margin, the range of the electric pulse signals, and the abnormal risk.

[0112] Among them, the intensity factor refers to the value of the electric field strength. The ablation process refers to the process of using the steep pulse ablation technique to break through the liver cancer cells. The abnormal risk refers to the risk of damage to the surrounding normal tissues caused by too high an electric field strength during the steep pulse ablation process. The safety margin refers to the boundary of the adjacent tissue of the liver cancer cells that needs to be specially protected during the steep pulse ablation process. The range of the electric pulse signals refers to the coverage range of the voltage, duration, and quantity of the electric pulses that the pulse generator can output.

[0113] Optionally, the identification of the intensity factor of the electric field strength can be obtained through an electric field strength tester. The analysis of the abnormal risk of the electric field strength during the ablation process of the liver cancer cells according to the intensity factor can be achieved by using the relationship between the electric field strength and cell apoptosis. The identification of the range of the electric pulse signals of the pulse generator according to the electrode type and the electric field strength can be obtained through the ablation area of the liver cancer cells.

[0114] Furthermore, in the embodiment of the present invention, by combining the electric field strength with the pulse generator, steep pulse ablation treatment is performed on the liver cancer cells to obtain a steep pulse ablation result. The liver cancer cells can be ablated through the physical effect generated by the electric field to protect important structures such as surrounding blood vessels, bile ducts, and nerves, avoid thermal damage, and reduce the risk of complications. At the same time, the steep pulse ablation technology can complete the ablation of tumors in a relatively short time, reduce the operation time, improve the treatment efficiency, and utilize its tissue selectivity to more precisely target liver cancer cells and improve the ablation effect. The steep pulse ablation result refers to the result obtained after treating liver cancer cells using the steep pulse ablation technology.

[0115] As an embodiment of the present invention, the combining the electric field strength with the pulse generator to perform steep pulse ablation treatment on the liver cancer cells to obtain a steep pulse ablation result includes: setting the ablation electrode of the liver cancer cells based on the electric field strength; identifying the pulse signal of the pulse generator according to the ablation electrode; extracting the cell membrane of the liver cancer cells and analyzing the linear relationship between the cell membrane and the electric field strength; identifying the perforation effect of the pulse signal on the cell membrane according to the linear relationship; and performing steep pulse ablation treatment on the liver cancer cells based on the linear relationship and the perforation effect to obtain a steep pulse ablation result.

[0116] Among them, the ablation electrode refers to a conductive device used to transmit high-voltage electrical pulses in the steep pulse ablation technology. The pulse signal refers to a high-voltage short electrical pulse generated by the pulse generator. The linear relationship refers to the direct influence of the electric field strength on the cell membrane perforation effect. The perforation effect refers to the irreversible damage caused by the electrical pulse to the cell membrane.

[0117] Optionally, the setting of the ablation electrode of the liver cancer cells based on the electric field strength can be determined by the size and shape of the tumor. The identification of the pulse signal of the pulse generator according to the ablation electrode can be achieved by monitoring with an oscilloscope. The analysis of the linear relationship between the cell membrane and the electric field strength can be obtained by plotting the relationship graph of the electric field strength with the cell membrane capacitance and resistance. The identification of the perforation effect of the pulse signal on the cell membrane according to the linear relationship can be achieved by measuring the cell survival rate using Trypan Blue staining.

[0118] Based on the imaging image, the present invention analyzes the blood supply of the liver cancer cells, can evaluate the angiogenesis ability of the tumor, judge its invasiveness and metastasis risk. By analyzing the blood supply, the positions of large blood vessels around the tumor can be determined, avoiding placing electrodes in these areas, reducing the heat sink effect, and improving the ablation effect. Secondly, in the embodiment of the present invention, by setting a safety margin for the liver cancer cells according to the tumor center, it can be ensured that the ablation area not only covers the tumor itself, but also includes a small part of normal tissue around the tumor, so as to ensure that the tumor cells are completely ablated. By positioning the tumor location of the liver cancer cells and identifying the skin surface of the lesion of the liver cancer cells according to the tumor location, the placement position of the electrode can be navigated more accurately during the operation, ensuring that the electrode accurately reaches the tumor center and the safety margin around it, reducing the treatment error caused by inaccurate positioning, and improving the accuracy of treatment. Further, in the embodiment of the present invention, by analyzing the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle, the optimal ablation scheme can be found, ensuring that the entire tumor area is effectively treated, avoiding unnecessary thermal damage, and protecting the functions of surrounding organs. Again, in the embodiment of the present invention, by analyzing the cell membrane characteristics of the liver cancer cells and identifying the electroporation effect of the liver cancer cells according to the cell membrane characteristics, the electroporation parameters can be optimized to achieve effective ablation of the liver cancer cells. Through the electroporation effect, the electric field intensity of the liver cancer cells can be identified to determine the electric field threshold that can cause apoptosis or necrosis of the cells, optimize the electroporation parameters, and achieve the maximum treatment effect and the minimum side effects. Finally, in the embodiment of the present invention, by combining the electric field intensity with the pulse generator to perform steep pulse ablation treatment on the liver cancer cells and obtaining the steep pulse ablation result, the liver cancer cells can be ablated through the physical effect generated by the electric field, protecting important structures such as surrounding blood vessels, bile ducts, and nerves, avoiding thermal damage, reducing the risk of complications. At the same time, the steep pulse ablation technology can complete the ablation of the tumor in a shorter time, reducing the operation time, improving the treatment efficiency, and using its tissue selectivity, it can more accurately target the liver cancer cells and improve the ablation effect. Therefore, an ablation system and method for liver cancer cells based on steep pulses provided by the embodiment of the present invention can avoid thermal damage to surrounding tissues and improve the ablation effect of liver cancer cells.

[0119] Refer to Figure 2 As shown, it is a schematic flowchart of an ablation method for liver cancer cells based on steep pulses provided by an embodiment of the present invention. In this embodiment, the ablation method for liver cancer cells based on steep pulses includes:

[0120] Obtain the liver cancer cells to be ablated, collect the imaging image of the liver cancer cells, based on the imaging image, identify the tumor characteristics of the liver cancer cells, analyze the blood supply of the liver cancer cells, and identify the tumor center of the liver cancer cells;

[0121] Set the safety margin of the liver cancer cells according to the tumor center, set the ablation area of the liver cancer cells based on the safety margin and the tumor characteristics, locate the tumor position of the liver cancer cells, and identify the skin surface of the lesion of the liver cancer cells according to the tumor position. Based on the tumor characteristics and the blood supply condition, set the electrode entry point from the skin surface of the lesion to the tumor center;

[0122] Combine the electrode entry point, the tumor position and the safety margin to set the electrode path of the liver cancer cells, calculate the electrode depth from the electrode entry point to the tumor center, calculate the electrode angle from the skin surface of the lesion to the electrode path, and analyze the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle;

[0123] Identify the type of adjacent tissue of the liver cancer cells and analyze the tissue characteristics of the type of adjacent tissue. Based on the tissue characteristics and the coverage effect, set the electrode type of the liver cancer cells, analyze the cell membrane characteristics of the liver cancer cells, and identify the electroporation effect of the liver cancer cells according to the cell membrane characteristics. According to the electroporation effect, identify the electric field strength of the liver cancer cells;

[0124] Configure the pulse generator of the liver cancer cells, set the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field strength, and combine the electric field strength and the pulse generator to perform ablation treatment on the liver cancer cells to obtain an ablation result.

[0125] In several embodiments provided by the present invention, it should be understood that the provided systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there can be other division methods in actual implementation.

[0126] In addition, the functional modules in each embodiment of the present invention can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A steep pulse-based liver cancer cell ablation system, characterized in that: The intelligent interactive system includes: a tumor feature recognition module, an electrode entrance setting module, an ablation effect analysis module, an electric field strength recognition module, and a steep pulse ablation module; The tumor feature recognition module is used to obtain liver cancer cells to be ablated, collect imaging images of the liver cancer cells, identify tumor features of the liver cancer cells based on the imaging images, analyze the blood supply of the liver cancer cells, and identify the tumor center of the liver cancer cells; The electric field strength identification module is used to identify the paracancerous tissue type of the liver cancer cells, analyze the tissue characteristics of the paracancerous tissue type, set the electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect, analyze the cell membrane characteristics of the liver cancer cells, and identify the electroporation effect of the liver cancer cells according to the cell membrane characteristics, and identify the electric field strength of the liver cancer cells according to the electroporation effect; The steep pulse ablation module is used to configure the pulse generator of the liver cancer cells, and set the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field strength, and combine the electric field strength with the pulse generator to perform ablation treatment on the liver cancer cells to obtain an ablation result.

2. The steep pulse-based liver cancer cell ablation system according to claim 1, characterized in that: The electrode entrance setting module is used to set the safety boundary of the liver cancer cells according to the tumor center, set the ablation area of ​​the liver cancer cells based on the safety boundary and the tumor characteristics, locate the tumor position of the liver cancer cells, and identify the lesion skin surface of the liver cancer cells according to the tumor position, and set the electrode entry point from the lesion skin surface to the tumor center based on the tumor characteristics and the blood supply.

3. The steep pulse-based liver cancer cell ablation system according to claim 2, characterized in that: The ablation effect analysis module is used to set the electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location and the safety boundary, calculate the electrode depth from the electrode entry point to the center of the tumor, calculate the electrode angle from the skin surface of the lesion to the electrode path, and analyze the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle.

4. The liver cancer cell ablation system based on steep pulses as claimed in claim 3, characterized in that: The identifying the tumor characteristics of the liver cancer cells based on the imaging image includes: Based on the imaging image, identifying the tumor area of ​​the liver cancer cells; Perform image segmentation processing on the tumor area to obtain the target tumor.

5. The steep pulse-based liver cancer cell ablation system according to claim 4, characterized in that: The identifying tumor characteristics of the liver cancer cells based on the imaging image further includes: Extracting structural features of the target tumor, and identifying blood supply features and metabolic features of the target tumor; The tumor characteristics of the liver cancer cells are identified by combining the structural characteristics, the blood supply characteristics and the metabolic characteristics.

6. The liver cancer cell ablation system based on steep pulses as claimed in claim 3, characterized in that: The step of setting the electrode entry point from the skin surface of the lesion to the center of the tumor based on the tumor characteristics and the blood supply condition comprises: Based on the tumor characteristics, identifying the geometric morphology of the liver cancer cells; According to the geometric morphology, the ablation range of the liver cancer cells and the surrounding tissue structure are analyzed.

7. The liver cancer cell ablation system based on steep pulses according to claim 6, characterized in that: The step of setting the electrode entry point from the skin surface of the lesion to the center of the tumor based on the tumor characteristics and the blood supply condition comprises: Analyzing the risk effect of the ablation range on the surrounding tissue structure; identifying electrode risks of the liver cancer cells according to the blood supply conditions; In combination with the risk effect and the electrode risk, an electrode entry point from the lesion skin surface to the tumor center is set.

8. The liver cancer cell ablation system based on steep pulses as claimed in claim 3, characterized in that: The step of setting the electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location and the safety boundary includes: Based on the tumor location, identifying the adjacent tissue of the liver cancer cells; Analyzing the location characteristics of the adjacent tissue, and identifying the reliability of the safety boundary based on the location characteristics; The risk of invasion of the electrode entry point on the adjacent tissue is analyzed.

9. The liver cancer cell ablation system based on steep pulses as claimed in claim 8, characterized in that: The step of setting the electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location and the safety boundary includes: identifying the blood supply pattern of the liver cancer cells according to the tumor location; analyzing the ablation effect of the liver cancer cells based on the blood supply pattern; The electrode path of the liver cancer cells is set in combination with the reliability and the ablation effect.

10. A method for ablation of liver cancer cells based on steep pulses, the method implementing the system as claimed in claim 1, characterized in that: The method comprises: Acquiring liver cancer cells to be ablated, and collecting imaging images of the liver cancer cells, identifying tumor characteristics of the liver cancer cells based on the imaging images, analyzing the blood supply of the liver cancer cells, and identifying the tumor center of the liver cancer cells; According to the tumor center, a safety boundary of the liver cancer cells is set, based on the safety boundary and the tumor characteristics, an ablation region of the liver cancer cells is set, the tumor position of the liver cancer cells is located, and according to the tumor position, the lesion skin surface of the liver cancer cells is identified, and based on the tumor characteristics and the blood supply, an electrode entry point from the lesion skin surface to the tumor center is set; In combination with the electrode entry point, the tumor location and the safety boundary, the electrode path of the liver cancer cells is set, the electrode depth from the electrode entry point to the tumor center is calculated, the electrode angle from the lesion skin surface to the electrode path is calculated, and based on the electrode depth and the electrode angle, the coverage effect of the ablation area on the liver cancer cells is analyzed; Identify the paracancerous tissue type of the liver cancer cells, and analyze the tissue characteristics of the paracancerous tissue type, set the electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect, analyze the cell membrane characteristics of the liver cancer cells, and identify the electroporation effect of the liver cancer cells according to the cell membrane characteristics, and identify the electric field strength of the liver cancer cells according to the electroporation effect; A pulse generator for the liver cancer cells is configured, and pulse parameters of the pulse generator for the liver cancer cells are set according to the electrode type and the electric field strength, and the liver cancer cells are ablated in combination with the electric field strength and the pulse generator to obtain an ablation result.

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