Ablation system for liver cancer cells based on steep pulses

Abstract

The application relates to the technical field of medical devices, and provides a liver cancer cell ablation system and method based on steep pulses, a tumor feature recognition module, an electrode inlet setting module, an ablation effect analysis module and an electric field strength recognition module.The tumor feature recognition module is used for acquiring an imaging image of liver cancer cells, 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 the liver cancer cells, setting an ablation area of the liver cancer cells and a lesion skin surface based on the safety boundary and the tumor features.The ablation effect analysis module is used for calculating electrode depth and electrode angle of the liver cancer cells, and analyzing covering effects of the ablation area.The electric field strength recognition module is used for analyzing cell membrane characteristics of the liver cancer cells, recognizing electroporation effects of the liver cancer cells, and recognizing electric field strengths of the liver cancer cells.The steep pulse ablation module is used for combining the electric field strengths and a pulse generator, performing ablation treatment on the liver cancer cells, and obtaining an ablation result.The application avoids thermal damage of surrounding tissues and improves the ablation effect of the liver cancer cells.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical devices, in particular to a steep pulse-based liver cancer cell ablation system. BACKGROUND

[0002] Steep pulse-based liver cancer cell ablation refers to a new type of tumor ablation technology that destroys the cell membrane of tumor cells by applying high-voltage direct current pulses between electrodes, causing tumor cells to undergo apoptosis. This technology can effectively protect important vascular structures, and can improve long-term patient outcomes by affecting immune responses. With the rapid development and innovation of medical technology, the field of tumor treatment is constantly breaking new ground and facing new challenges. Liver cancer, as a malignant tumor with high morbidity and mortality, is particularly important in terms of treatment innovation.

[0003] Traditional liver cancer cell ablation is mainly achieved using radiofrequency ablation technology. Although this technology has achieved some results in the early treatment of early-stage liver cancer, it may cause thermal damage to important tissues such as blood vessels and nerves in the vicinity of important structures such as blood vessels and the heart, limiting the effectiveness of ablation. SUMMARY

[0004] The present application provides a steep pulse-based liver cancer cell ablation system, which aims to avoid thermal damage to surrounding tissues and improve the effectiveness of liver cancer cell ablation.

[0005] To achieve the above-mentioned purpose, the present application provides a steep pulse-based liver cancer cell ablation system, which comprises a tumor feature recognition module, an electrode entry setting module, an ablation effect analysis module, an electric field intensity recognition module, and a steep pulse ablation module.

[0006] The tumor feature recognition module is used to obtain liver cancer cells to be ablated, and to collect imaging images of the liver cancer cells. Based on the imaging images, the tumor features of the liver cancer cells are identified, the blood supply of the liver cancer cells is analyzed, and the tumor center of the liver cancer cells is identified.

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

[0008] The ablation effect analysis module is configured to set an electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location and the safety boundary, calculate an electrode depth from the electrode entry point to the tumor center, calculate an electrode angle from the lesion skin surface to the electrode path, analyze a coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle, 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 configured to identify a paracancer tissue type of the liver cancer cells, analyze tissue characteristics of the paracancer tissue type, set an electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect, analyze cell membrane characteristics of the liver cancer cells, identify an electroporation effect of the liver cancer cells according to the cell membrane characteristics, and identify an electric field intensity of the liver cancer cells according to the electroporation effect.

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

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

[0012] Identifying a 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 structural characteristics of the target tumor and identifying blood supply characteristics and metabolic characteristics of the target tumor.

[0015] Identifying the tumor characteristics of the liver cancer cells in combination with the structural characteristics, the blood supply characteristics and the metabolic characteristics.

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

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

[0018] Analyzing an ablation range of the liver cancer cells and surrounding tissue structures according to the geometric morphology.

[0019] Analyzing a risk effect of the ablation range on the surrounding tissue structures.

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

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

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

[0023] identifying a neighboring tissue of the liver cancer cells based on the tumor location;

[0024] analyzing a location feature of the neighboring tissue, and identifying a reliability degree of the safety boundary according to the location feature;

[0025] analyzing an invasion risk of the electrode entry point to the neighboring tissue;

[0026] identifying a blood supply mode of the liver cancer cells according to the tumor location;

[0027] analyzing an ablation effect of the liver cancer cells based on the blood supply mode;

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

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

[0030] acquiring liver cancer cells to be ablated, collecting an imaging image of the liver cancer cells, identifying a tumor feature of the liver cancer cells based on the imaging image, analyzing a blood supply condition of the liver cancer cells, and identifying a tumor center of the liver cancer cells;

[0031] setting a safety boundary of the liver cancer cells according to the tumor center, setting an ablation area of the liver cancer cells based on the safety boundary and the tumor feature, locating a tumor location of the liver cancer cells, and identifying a lesion skin surface of the liver cancer cells according to the tumor location, setting an electrode entry point of the lesion skin surface to the tumor center based on the tumor feature and the blood supply condition;

[0032] setting an electrode path of the liver cancer cells in combination with the electrode entry point, the tumor location and the safety boundary, calculating an electrode depth of the electrode entry point to the tumor center, calculating an electrode angle of the lesion skin surface to the electrode path, and analyzing a coverage effect of the ablation area to the liver cancer cells based on the electrode depth and the electrode angle;

[0033] Identify the cancer-adjacent tissue type of the liver cancer cells, analyze the tissue characteristics of the cancer-adjacent 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 intensity of the liver cancer cells according to the electroporation effect;

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

[0035] The application can evaluate the tumor angiogenesis ability, judge the invasiveness and metastasis risk of the tumor by analyzing the blood supply of the liver cancer cells based on the imaging image, can determine the position of large blood vessels around the tumor by analyzing the blood supply, avoid placing the electrode in these areas, reduce the heat sinking effect, and improve the ablation effect; secondly, the application can ensure that the ablation area not only covers the tumor itself, but also includes a small part of normal tissue around the tumor to ensure that the tumor cells are completely ablated, and can more accurately navigate the placement position of the electrode during the operation by locating the tumor position of the liver cancer cells, identifying the lesion skin surface of the liver cancer cells according to the tumor position, ensuring that the electrode accurately reaches the tumor center and the safety boundary around it, reducing the treatment error caused by inaccurate positioning, and improving the accuracy of treatment; further, the application can find the best ablation scheme by analyzing the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle, ensure that the entire tumor area is effectively treated, avoid unnecessary thermal damage, and protect the function of the surrounding organs; again, the application can optimize the electroporation parameters to achieve effective ablation of liver cancer cells 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, and through the electroporation effect, the electric field intensity of the liver cancer cells can be identified to determine the electric field threshold value that can cause cell apoptosis or necrosis, optimize the parameters of electroporation, achieve the maximum treatment effect and the minimum side effect; finally, the application can ablate liver cancer cells through the physical effect of the electric field to protect important structures such as surrounding blood vessels, bile ducts and nerves, avoid thermal damage, reduce the risk of complications, and at the same time, the steep pulse ablation technology can complete the ablation of the tumor in a short time, reduce the operation time, improve the treatment efficiency, and use its tissue selectivity to more accurately target liver cancer cells and improve the ablation effect. Therefore, the ablation system and method for liver cancer cells based on steep pulse provided by the embodiment of the application can avoid thermal damage to the surrounding tissue and improve the ablation effect of liver cancer cells. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 A function module diagram of an ablation system for liver cancer cells based on steep pulse provided by an embodiment of the application;

[0037] Figure 2 A flowchart of an ablation method for liver cancer cells based on steep pulse provided by an embodiment of the application.

[0038] The objectives, functional features and advantages of the present application will be further illustrated in conjunction with the embodiments with reference to the accompanying drawings. DETAILED DESCRIPTION

[0039] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0040] In addition, the step timing in each of the following method embodiments is only an example, not a strict limitation.

[0041] In fact, the server device deployed by the steep pulse-based liver cancer cell ablation system can be composed of one or more devices. The steep pulse-based liver cancer cell ablation system can be implemented as a business instance, a virtual machine, or a hardware device. For example, the steep pulse-based liver cancer cell ablation system can be implemented as a business instance deployed on one or more devices in a cloud node. In short, the live service system can be understood as a software deployed on a cloud node, which is used to provide steep pulse-based liver cancer cell ablation services for each user end. Alternatively, the steep pulse-based liver cancer cell ablation system can also be implemented as a virtual machine deployed on one or more devices in a cloud node. The virtual machine has application software installed for managing each user end. Alternatively, the steep pulse-based liver cancer cell ablation system can also be implemented as a server composed of a plurality of same or different types of hardware devices, and one or more hardware devices are set to provide steep pulse-based liver cancer cell ablation services for each user end.

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

[0043] Reference Figure 1 Fig. 1 is a functional module diagram of a steep pulse-based liver cancer cell ablation system according to an embodiment of the present application.

[0044] The ablation system 100 based on steep pulse of liver cancer cells can be arranged in a cloud server, and in a realization form, can be used as one or more service devices, can be installed as an application on the cloud (for example, a server of a live service operator, a server cluster, etc.), or can be developed as a website. According to a function to be realized, the ablation system 100 based on steep pulse of liver cancer cells comprises a tumor feature recognition module 101, an electrode entrance setting module 102, an ablation effect analysis module 103, an electric field intensity recognition module 104, and a steep pulse ablation module 105.

[0045] In the embodiment of the present application, in the tracking based on the ablation of liver cancer cells by steep pulse, each of the above modules can be independently realized and called by other modules. The calling here 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 connected thereto. In the ablation system based on steep pulse of liver cancer cells provided by the embodiment of the present application, without modifying the program code, the application range of the ablation architecture based on steep pulse of liver cancer cells can be adjusted by adding modules and directly calling, to realize cluster-type horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the ablation system based on steep pulse of liver cancer cells. In actual application, the above modules can be arranged in the same device or different devices, or can be arranged in a virtual device, such as a service instance in a cloud server.

[0046] The following will be described in combination with specific embodiments, respectively for each component of the ablation system based on steep pulse of liver cancer cells and the specific work flow.

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

[0048] The embodiment of the present application can obtain tumor information by obtaining liver cancer cells to be ablated and collecting an image of the liver cancer cells, to provide data support for subsequent ablation of liver cancer cells. The liver cancer cells refer to malignant tumor cells existing in the liver, and the image refers to an image of the liver cancer cells and the surrounding tissues thereof obtained by medical imaging technology, such as ultrasound, CT, MRI technology, etc.

[0049] Optionally, the liver cancer cells to be ablated can be obtained by using a fine needle electrode, and the image of the liver cancer cells can be obtained by using ultrasound technology.

[0050] Further, the embodiment of the present application can accurately determine the specific location, size and shape of the tumor in the liver and the adjacent relationship with the surrounding tissue by identifying the tumor characteristics of the liver cancer cells based on the imaging image, and can evaluate the blood supply of the tumor by observing the blood vessel distribution around the tumor, wherein the tumor characteristics refer to various information about the liver cancer cells and their surrounding tissue obtained through the imaging image, such as the size and shape of the tumor.

[0051] As an embodiment of the present application, the identification of the tumor characteristics of the liver cancer cells based on the imaging image comprises: identifying the tumor region of the liver cancer cells based on the imaging image; 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] In the above, 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 with specific characteristics segmented from the imaging image, 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 of the tumor, and the metabolic characteristics refer to the metabolic activity characteristics of the tumor, including the metabolic rate, type and quantity of metabolic products, etc.

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

[0054] The embodiment of the present application can evaluate the angiogenesis ability of the tumor and judge its invasiveness and metastasis risk by analyzing the blood supply of the liver cancer cells based on the imaging image, and can determine the position of large blood vessels around the tumor, avoid placing electrodes in these areas, reduce the heat sinking effect and improve the ablation effect, wherein the blood supply refers to the blood supply condition of the liver cancer cells and their surrounding tissue obtained through the imaging image.

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

[0056] Further, the embodiment of the present application can ensure that the electrodes are placed in the core area of the tumor to optimize the treatment parameters of the liver cancer cells by identifying the tumor center of the liver cancer cells based on the imaging image, wherein the tumor center refers to the midpoint of the tumor of the liver cancer cells determined through the imaging image.

[0057] Optionally, the tumor center of the liver cancer cells is identified based on the imaging image, and the tumor boundary is automatically identified by using image segmentation software, and the geometric center of the tumor is calculated.

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

[0059] According to the tumor center, the safety boundary of the liver cancer cells is set, so that the ablation area not only covers the tumor itself, but also includes a small part of normal tissue around the tumor, so that the tumor cells are completely ablated, and the safety boundary refers to an additional ablation area set around the tumor in the liver cancer cell ablation treatment, so as to ensure complete ablation of the tumor and protection of the surrounding normal tissue.

[0060] Optionally, the safety boundary of the liver cancer cells is set according to the tumor center, and the safety boundary is obtained by generating a layer of area in the normal tissue outside the tumor.

[0061] Further, the ablation area of the liver cancer cells is set based on the safety boundary and the tumor characteristics, so that the electrode is placed away from important organs and blood vessels, the damage to the surrounding normal tissue is reduced, and the ablation area refers to an area actually ablated by using the steep pulse technology or other ablation methods in the liver cancer cell ablation treatment.

[0062] Optionally, the ablation area of the liver cancer cells is set based on the safety boundary and the tumor characteristics, and the ablation area is obtained by using functional imaging analysis software, such as FSL software.

[0063] According to the tumor position of the liver cancer cells, the lesion skin surface of the liver cancer cells is identified, so that the placement position of the electrode can be more accurately navigated during the operation, the electrode can accurately reach the tumor center and the safety boundary around the tumor center, the treatment error caused by inaccurate positioning is reduced, the accuracy of the treatment is improved, the tumor position of the liver cancer cells refers to the specific position of the liver cancer cells in the liver, including the geometric center and the boundary of the tumor, and the lesion skin surface 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 scanning, and the lesion skin surface identification of the liver cancer cells according to the tumor location can be achieved by using imaging technology, such as magnetic resonance imaging technology.

[0065] In the embodiment of the present application, the electrode entry point from the lesion skin surface to the tumor center in the liver cancer cell ablation treatment is set based on the tumor characteristics and the blood supply condition, so as to plan a safe electrode path, avoid important blood vessels, nerves and other key structures, and reduce the risk of complications in the electrode process.

[0066] As an embodiment of the present application, the electrode entry point from the lesion skin surface to the tumor center is set based on the tumor characteristics and the blood supply condition, which 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 condition; and setting the electrode entry point from the lesion skin surface to the tumor center in combination with the risk effect and the electrode risk.

[0067] Wherein, the geometric shape refers to the shape, size and boundary of the liver cancer cell tumor, the ablation range refers to the area actually subjected to ablation treatment in the ablation treatment, the surrounding tissue structure refers to the normal tissue and important organs around the tumor, such as liver, bile duct, blood vessels, etc., the risk effect refers to the potential risk and influence of the ablation range on the surrounding tissue structure, and the electrode risk refers to the risk that may be encountered in the electrode process, such as important organs and blood vessels on the electrode path, bleeding risk, etc.

[0068] Optionally, the risk effect analysis of the ablation range on the surrounding tissue structure can be achieved by using a biological thermal injury model, and the electrode risk identification of the liver cancer cells according to the blood supply condition can be obtained by blood marker detection, such as AFP marker.

[0069] The ablation effect analysis module 103 is configured 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 tumor center, calculate the electrode angle from the lesion skin surface 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] The electrode path of the liver cancer cells is set by combining the electrode entry point, the tumor position and the safety boundary, so that the ablation needle can accurately reach the tumor position, cover the entire tumor area, and avoid important tissue structures through a reasonable electrode path, thereby reducing the risk of damage to these structures during ablation.

[0071] As an embodiment of the present application, the electrode path of the liver cancer cells is set by combining the electrode entry point, the tumor position and the safety boundary, which includes: identifying the adjacent tissue of the liver cancer cells based on the tumor position; analyzing the position characteristics of the adjacent tissue and identifying the reliability of the safety boundary according to the position characteristics; analyzing the invasion risk of the electrode entry point to the adjacent tissue; identifying the blood supply mode of the liver cancer cells according to the tumor position; analyzing the ablation effect of the liver cancer cells based on the blood supply mode; and setting the electrode path of the liver cancer cells in combination with the reliability and the ablation effect.

[0072] The adjacent tissue refers to the normal tissue and important organs around the tumor, the position characteristics refer to the specific position and relationship of the adjacent tissue relative to the tumor, including distance, direction and contact area, etc., the reliability refers to the reliability and effectiveness of the safety boundary, the invasion risk refers to the potential risk of the electrode entry point to the adjacent tissue, the blood supply mode refers to the blood supply of the tumor, including the distribution of blood vessels, blood flow 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 completeness of ablation, etc.

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

[0074] Further, the electrode depth from the electrode entry point to the tumor center is calculated to ensure that the ablation needle starts ablation after a certain depth in the liver parenchyma, leaving enough liver parenchyma for hemostasis, thereby improving the safety of the operation and reducing the risk of complications, and the electrode depth refers to the depth of the electrode needle from the skin surface into the body to the target tumor position during electrode operation.

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

[0076]

[0077] wherein 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 a three-dimensional space, and (X b , Y b , Z b ) represents the coordinates of the electrode entry point in the three-dimensional space.

[0078] Further, the embodiments of the present application can reduce the number of adjustments during the operation, shorten the operation time, and improve the operation efficiency by calculating the electrode angle from the lesion skin surface to the electrode path, and can maximize the reduction of damage to the surrounding structures and improve the precise treatment effect of the operation by selecting the optimal electrode angle, wherein the electrode angle refers to the included angle formed by the electrode needle and the skin surface during the electrode operation.

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

[0080]

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

[0082] The embodiments of the present application can find the optimal ablation scheme by analyzing the coverage effect of the ablation region on the liver cancer cells based on the electrode depth and the electrode angle, ensure that the entire tumor region is effectively treated, avoid unnecessary thermal damage, and protect the function of the surrounding organs, wherein the coverage effect refers to the range and degree of the target tumor region that can be effectively covered and destroyed by the electrode during the ablation of the liver cancer cells.

[0083] As an embodiment of the present application, the analysis of the coverage effect of the ablation region on the liver cancer cells based on the electrode depth and the electrode angle comprises: determining the basic form of the ablation region based on the electrode depth and the electrode angle; identifying the electric field distribution of the ablation region according to the basic form; analyzing the electric field uniformity of 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 definition 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 definition and the minimum area.

[0084] The basic form 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 boundary line between the ablation region and the surrounding non-ablation tissue, the edge expansion area refers to the part of the ablation region edge extending outward, the boundary definition refers to the obvious degree of the boundary line between the ablation region and the surrounding tissue, and the minimum area refers to the minimum size of the ablation region extending to the cancer-adjacent tissue.

[0085] Optionally, the determination of the basic form of the ablation region based on the electrode depth and the electrode angle can be obtained by the position and direction of the electrode, the identification of the electric field distribution of the ablation region according to the basic form 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 by the nanoknife ablation technology.

[0086] The electric field intensity identification module 104 is configured to identify the cancer-adjacent tissue type of the liver cancer cells, analyze the tissue characteristics of the cancer-adjacent 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] By identifying the cancer-adjacent tissue type of the liver cancer cells and analyzing the tissue characteristics of the cancer-adjacent tissue type, the appropriate size and shape of the electrode can be selected through the proteome of the cancer-adjacent tissue to ensure the effectiveness and safety of the ablation treatment, the cancer-adjacent tissue type refers to the normal or pathological liver tissue properties around the liver cancer tissue, including cirrhotic tissue, hepatocellular nodules, bile duct cells, fibrous tissue, etc., and the tissue characteristics refer to the characteristics of the cancer-adjacent tissue at the biological, morphological, structural, functional and molecular levels, such as the electrical conductivity of the tissue.

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

[0089] Further, the embodiment of the present application sets the electrode type of the liver cancer cells based on the tissue property and the coverage effect, which can maximize the coverage effect of the steep pulse ablation treatment and ensure the accuracy and safety of the treatment, and the electrode type refers to different kinds of electrodes used in the steep pulse ablation, such as monopolar electrode, bipolar electrode and multi-stage electrode.

[0090] As an embodiment of the present application, the setting of the electrode type of the liver cancer cells based on the tissue property and the coverage effect comprises: identifying the cancer-adjacent tissue of the liver cancer cells based on the tissue property and analyzing the conductivity property of the cancer-adjacent tissue; identifying the electric field requirement of the liver cancer cells according to the conductivity property and the coverage effect; scheduling the patient 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 health data, the tumor characteristic data and the electric field requirement.

[0091] Wherein, the cancer-adjacent tissue refers to normal or diseased liver tissue around the liver cancer tissue, the conductivity property refers to the conduction ability of the cancer-adjacent tissue to the electric current, the electric field requirement refers to the requirement parameters of the intensity, distribution and action time of the electric field in the ablation area of the liver cancer cells, the patient 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, and the tumor characteristic data refers to the size, position and shape data of the tumor.

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

[0093] The embodiment of the present application can optimize the electroporation parameters by analyzing the cell membrane property of the liver cancer cells and identifying the electroporation effect of the liver cancer cells according to the cell membrane property, so as to achieve effective ablation of the liver cancer cells, and the cell membrane property refers to the attributes of the cell membrane of the liver cancer cells in physical and electrophysiological aspects, such as cell membrane capacitance property, and the electroporation effect refers to the temporary or permanent change effect of the cell membrane of the liver cancer cells under the action of external electric field.

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

[0095] As an embodiment of the present application, the electroporation effect of the liver cancer cells is identified according to the cell membrane characteristics, which includes: extracting the capacitance parameter and the 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 electroporation test on the liver cancer cells based on the electroporation intensity and the pulse application parameter to obtain test results; and identifying the electroporation effect of the liver cancer cells based on the test results.

[0096] The capacitance parameter refers to the storage capacity of the cell membrane to electric charge, the resistance parameter refers to the resistance capacity of the cell membrane to electric 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 results refer to the survival rate of the cells, the integrity of the cell membrane, apoptosis, necrosis and other indicators.

[0097] Optionally, the extraction of the capacitance parameter and the resistance parameter of the liver cancer cells according to the cell membrane characteristics can be achieved 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 achieved by obtaining the electroporation threshold of the liver cancer cells, which 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 achieved by using a pulse generator, and the electroporation test of the liver cancer cells based on the electroporation intensity and the pulse application parameter can be achieved by using an electroporation instrument, such as a BTX ECM 830 electroporation instrument.

[0098] Further, the electric field intensity of the liver cancer cells is identified according to the electroporation effect, which can determine the electric field threshold that can cause apoptosis or necrosis, optimize the parameters of electroporation, and achieve the maximum therapeutic effect and the minimum side effect. The electric field intensity refers to the electric field intensity required to achieve effective electroporation of the liver cancer cells in the process of steep pulse ablation.

[0099] As an embodiment of the present application, the electric field intensity of the liver cancer cells is identified according to the electroporation effect, which includes: identifying 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 identifying the electric field intensity of the liver cancer cells based on the induced membrane potential.

[0100] Wherein, the 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 between the inside and outside 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 under the action of the external electric field, forming electroporation.

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

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

[0103]

[0104] Where p represents the transmembrane potential of the cell membrane under an applied electric field, and T z r represents the capacitance per unit area of ​​the cell membrane. i The conductivity of the extracellular buffer solution, r j This indicates the electrical conductivity of the cytoplasm.

[0105] In another optional embodiment of the present invention, the induced membrane potential of the liver cancer cells is calculated using the following formula based on the ion channel:

[0106] V crit =A·E ext ·cosθ

[0107] Among them, V crit The induced membrane potential of liver cancer cells is represented by A, where A represents the cell radius of liver cancer cells in the ion channel, and E represents the induced membrane potential of liver cancer cells. ext θ represents the electric field strength in the ion channel, and cosθ represents the angle between the radial direction of any point on the cell membrane of liver cancer cells and the direction of the applied electric field.

[0108] The steep pulse ablation module 105 is used to configure the pulse generator for the liver cancer cells, and to set the pulse parameters of the pulse generator for the liver cancer cells according to the electrode type and the electric field strength. By combining the electric field strength and the pulse generator, the liver cancer cells are ablated to obtain the ablation result.

[0109] The embodiment of the present application can control the distribution and intensity of the electric field by configuring the pulse generator of the liver cancer cells and setting the pulse parameters of the pulse generator to the liver cancer cells according to the electrode type and the electric field intensity, ensure that the electroporation effect is limited to the liver cancer cells only, without affecting the surrounding healthy tissues, improve the accuracy and effectiveness of the treatment, and reduce the damage to normal tissues, wherein the pulse generator refers to an electronic device capable of generating a pulse signal with a specific frequency, amplitude and pulse width, and the pulse parameters refer to several key indicators used to define and control the characteristics of the pulse signal in the pulse generator, such as pulse amplitude and pulse width.

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

[0111] As an embodiment of the present application, the setting of the pulse parameters of the pulse generator to the liver cancer cells according to the electrode type and the electric field intensity comprises: identifying an intensity factor of the electric field intensity; analyzing the abnormal risk of the electric field intensity in the ablation process of the liver cancer cells according to the intensity factor; identifying the paracancerous tissue of the liver cancer cells and setting a safety limit of the paracancerous tissue based on the abnormal risk; identifying the electric pulse signal range of the pulse generator according to the electrode type and the electric field intensity; and setting the pulse parameters of the pulse generator to the liver cancer cells in combination with the safety limit, the electric pulse signal range and the abnormal risk.

[0112] wherein the intensity factor refers to the electric field intensity value, the ablation process refers to the process of breaking through the liver cancer cells by using the steep pulse ablation technology, the abnormal risk refers to the risk of damage to the surrounding normal tissues caused by the electric field intensity being too high during the steep pulse ablation process, the safety limit refers to the boundary of the paracancerous tissue that needs to be protected during the steep pulse ablation process, and the electric pulse signal range refers to the coverage range of the voltage, duration and quantity of the electric pulse that the pulse generator can output.

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

[0114] Further, the embodiment of the present application combines the electric field intensity with the pulse generator to perform steep pulse ablation treatment on the liver cancer cells, and obtains a steep pulse ablation result, which can ablate the liver cancer cells through the physical effect of the electric field to protect important structures such as blood vessels, bile ducts and nerves, avoid thermal damage, reduce the risk of complications, and at the same time, the steep pulse ablation technology can complete the ablation of the tumor in a short time, reduce the operation time, improve the treatment efficiency, and can more accurately target the liver cancer cells by using the tissue selectivity, and improve the ablation effect. The steep pulse ablation result refers to the result obtained after the liver cancer cells are treated by using the steep pulse ablation technology.

[0115] As an embodiment of the present application, the combination of the electric field intensity and the pulse generator to perform steep pulse ablation treatment on the liver cancer cells to obtain a steep pulse ablation result comprises: setting an ablation electrode of the liver cancer cells based on the electric field intensity; identifying a pulse signal of the pulse generator according to the ablation electrode; extracting a cell membrane of the liver cancer cells and analyzing a linear relationship between the cell membrane and the electric field intensity; identifying a 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] Wherein, the ablation electrode refers to a conductive device for delivering high-voltage electric pulses in the steep pulse ablation technology, the pulse signal refers to a high-voltage short electric pulse generated by the pulse generator, the linear relationship refers to the direct influence of the electric field intensity on the cell membrane perforation effect, and the perforation effect refers to the irreversible damage to the cell membrane caused by the electric pulse.

[0117] Optionally, the ablation electrode of the liver cancer cells based on the electric field intensity can be determined by the size and shape of the tumor, the pulse signal of the pulse generator identified according to the ablation electrode can be realized by using an oscilloscope, the linear relationship between the cell membrane and the electric field intensity can be obtained by drawing a graph of the relationship between the electric field intensity and the cell membrane capacitance and resistance, and the perforation effect of the pulse signal on the cell membrane identified according to the linear relationship can be realized by using Trypan Blue staining to determine the cell survival rate.

[0118] The present application can evaluate the tumor angiogenesis ability, judge the invasiveness and metastasis risk of the tumor by analyzing the blood supply of the liver cancer cells based on the imaging image, can determine the position of large blood vessels around the tumor by analyzing the blood supply, avoid placing the electrode in these areas, reduce the heat sinking effect, and improve the ablation effect; secondly, the present application can ensure that the ablation area not only covers the tumor itself, but also includes a small part of the normal tissue around the tumor to ensure that the tumor cells are completely ablated, and can more accurately navigate the placement position of the electrode during the operation by locating the tumor position of the liver cancer cells, identifying the lesion skin surface of the liver cancer cells according to the tumor position, ensuring that the electrode accurately reaches the tumor center and the safety boundary around it, reducing the treatment error caused by inaccurate positioning, and improving the accuracy of treatment; further, the present application can find the best ablation scheme by analyzing the coverage effect of the ablation area on the liver cancer cells based on the electrode depth and the electrode angle, ensure that the entire tumor area is effectively treated, avoid unnecessary thermal damage, and protect the function of the surrounding organs; again, the present application can optimize the electroporation parameters to achieve effective ablation of liver cancer cells 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, and through the electroporation effect, the electric field strength of the liver cancer cells can be identified to determine the electric field threshold value that can cause cell apoptosis or necrosis, optimize the parameters of electroporation, achieve the maximum treatment effect and the minimum side effect; finally, the present application can ablate liver cancer cells through the physical effect of the electric field by combining the electric field strength with the pulse generator to perform steep pulse ablation treatment on the liver cancer cells to obtain steep pulse ablation results, so as to protect important structures such as blood vessels, bile ducts and nerves around the liver cancer cells, avoid thermal damage, reduce the risk of complications, at the same time, the steep pulse ablation technology can complete the ablation of the tumor in a short time, reduce the operation time, improve the treatment efficiency, and utilize the tissue selectivity to more accurately target the liver cancer cells and improve the ablation effect. Therefore, the ablation system and method for liver cancer cells based on steep pulse provided by the present application can avoid thermal damage to the surrounding tissue, and improve the ablation effect of liver cancer cells.

[0119] Reference Figure 2 As shown in the figure, it is a flowchart of the ablation method for liver cancer cells based on steep pulse provided by an embodiment of the present application. In this embodiment, the ablation method for liver cancer cells based on steep pulse comprises:

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

[0121] According to the tumor center, a safety boundary of the liver cancer cell is set, based on the safety boundary and the tumor feature, an ablation area of the liver cancer cell is set, a tumor position of the liver cancer cell is located, and according to the tumor position, a lesion skin surface of the liver cancer cell is identified, based on the tumor feature and the blood supply condition, an electrode entry point from the lesion skin surface to the tumor center is set;

[0122] Combined with the electrode entry point, the tumor position and the safety boundary, an electrode path of the liver cancer cell is set, an electrode depth from the electrode entry point to the tumor center is calculated, an electrode angle from the lesion skin surface to the electrode path is calculated, based on the electrode depth and the electrode angle, an coverage effect of the ablation area on the liver cancer cell is analyzed;

[0123] A type of cancer-adjacent tissue of the liver cancer cell is identified, and a tissue feature of the type of cancer-adjacent tissue is analyzed, based on the tissue feature and the coverage effect, an electrode type of the liver cancer cell is set, a cell membrane feature of the liver cancer cell is analyzed, and according to the cell membrane feature, an electroporation effect of the liver cancer cell is identified, according to the electroporation effect, an electric field intensity of the liver cancer cell is identified;

[0124] A pulse generator of the liver cancer cell is configured, and according to the electrode type and the electric field intensity, a pulse parameter of the pulse generator on the liver cancer cell is set, combined with the electric field intensity and the pulse generator, an ablation treatment is performed on the liver cancer cell, and an ablation result is obtained.

[0125] In several embodiments provided in the present application, it should be understood that the provided system and method can be implemented in other ways. For example, the above-described system embodiments are only illustrative, for example, the division of the modules is only a logical function division, and actual implementation can have another division mode.

[0126] In addition, each function module in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or in the form of hardware plus software function module.

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

Claims

1. A steep pulse-based ablation system for liver cancer cells, characterized by, The ablation system comprises a tumor feature recognition module, an electrode entry setting module, an ablation effect analysis module, an electric field intensity recognition module and a steep pulse ablation module. The tumor feature recognition module is configured to acquire liver cancer cells to be ablated, collect an imaging image of the liver cancer cells, recognize tumor features of the liver cancer cells based on the imaging image, analyze blood supply conditions of the liver cancer cells, recognize a tumor center of the liver cancer cells, set a safety boundary of the liver cancer cells according to the tumor center, set an ablation area of the liver cancer cells based on the safety boundary and the tumor features, locate a tumor position of the liver cancer cells, and recognize a lesion skin surface of the liver cancer cells according to the tumor position. The tumor feature recognition module is further configured to set an electrode entry point from the lesion skin surface to the tumor center based on the tumor features and the blood supply conditions, set an electrode path of the liver cancer cells in combination with the electrode entry point, the tumor position and the safety boundary, calculate an electrode depth from the electrode entry point to the tumor center, calculate an electrode angle from the lesion skin surface to the electrode path, and analyze an ablation area coverage effect on the liver cancer cells based on the electrode depth and the electrode angle. The electric field intensity recognition module is configured to recognize a paracancer tissue type of the liver cancer cells, analyze tissue characteristics of the paracancer tissue type, set an electrode type of the liver cancer cells based on the tissue characteristics and the coverage effect, analyze cell membrane characteristics of the liver cancer cells, and recognize an electroporation effect of the liver cancer cells according to the cell membrane characteristics, and recognize an electric field intensity of the liver cancer cells according to the electroporation effect. The steep pulse ablation module is configured to configure a pulse generator of the liver cancer cells, set pulse parameters of the pulse generator on the liver cancer cells according to the electrode type and the electric field intensity, and perform ablation processing on the liver cancer cells in combination with the electric field intensity and the pulse generator to obtain an ablation result.

2. The steep pulse based ablation system of claim 1, wherein, The tumor feature recognition module is configured to recognize tumor features of the liver cancer cells based on the imaging image, which comprises: recognizing a tumor area of the liver cancer cells based on the imaging image; performing image segmentation processing on the tumor area to obtain a target tumor.

3. The steep pulse based ablation system of liver cancer cells as claimed in claim 2 wherein, The tumor feature recognition module is further configured to recognize tumor features of the liver cancer cells based on the imaging image, which comprises: extracting structure features of the target tumor, and recognizing blood supply features and metabolic features of the target tumor; recognizing the tumor features of the liver cancer cells in combination with the structure features, the blood supply features and the metabolic features.

4. The steep pulse based ablation system of liver cancer cells as claimed in claim 1 wherein, The tumor feature recognition module is configured to set the electrode entry point from the lesion skin surface to the tumor center based on the tumor features and the blood supply conditions, which comprises: recognizing a geometric morphology of the liver cancer cells based on the tumor features; analyzing an ablation range of the liver cancer cells and surrounding tissue structures according to the geometric morphology.

5. The steep pulse based ablation system of claim 4, wherein the steep pulse based ablation system is configured to deliver the steep pulses to the liver cancer cells in a manner that causes the steep pulses to be absorbed by the liver cancer cells and to cause the liver cancer cells to undergo apoptosis. The tumor feature recognition module is configured to set the electrode entry point from the lesion skin surface to the tumor center based on the tumor features and the blood supply conditions, which comprises: analyzing a risk effect of the ablation range on the surrounding tissue structures; According to the blood supply condition, an electrode risk of the liver cancer cell is identified; Combined with the risk effect and the electrode risk, an electrode entry point from the lesion skin surface to the tumor center is set.

6. The steep pulse based ablation system of liver cancer cells as claimed in claim 1 wherein, The electrode path of the liver cancer cell is set in combination with the electrode entry point, the tumor location and the safety boundary, including: Based on the tumor location, adjacent tissue of the liver cancer cell is identified; The location feature of the adjacent tissue is analyzed, and according to the location feature, the reliability degree of the safety boundary is identified; The invasion risk of the electrode entry point to the adjacent tissue is analyzed.

7. The steep pulse based ablation system of liver cancer cells as claimed in claim 6 wherein, The electrode path of the liver cancer cell is set in combination with the electrode entry point, the tumor location and the safety boundary, including: According to the tumor location, a blood supply mode of the liver cancer cell is identified; Based on the blood supply mode, an ablation effect of the liver cancer cell is analyzed; Combined with the reliability degree and the ablation effect, the electrode path of the liver cancer cell is set.

Images