Tumor biological sample transmission optimization system, method and device

Abstract

The embodiment of the invention provides a tumor biological sample transmission optimization system, method and device. The system comprises a puncture needle, a peristaltic pump, a one-way valve assembly, a tank body and a control module. The method is applied to the control module, and comprises the following steps: determining a tumor region and a target lesion tissue in a to-be-transmitted region; acquiring the density of the target diseased tissue and the physiological information of the patient corresponding to the to-be-transmitted area so as to acquire the suction flow and the suction frequency; when the puncture needle enters the target diseased tissue, the peristaltic pump is controlled to perform sample suction on the target diseased tissue according to the suction flow and the suction frequency, and tissue fluid of the target diseased tissue is obtained; updating the density of the target diseased tissue and the physiological information of the patient in the sample suction process so as to update the suction flow and the suction frequency in real time; generating conduction frequency of the one-way valve assembly according to the suction frequency so as to control conduction of the one-way valve assembly, and when the one-way valve assembly is conducted, the tissue fluid flows into the tank body to be in contact with the stationary liquid for solidification; conveying is completed according to the solidified tissue fluid.

Description

Technical Field

[0001] The present application relates to the field of medical equipment technology, and in particular to a tumor biological sample transmission optimization system, method and device. Background Art

[0002] In the process of transbronchial needle aspiration biopsy under endotracheal ultrasound guidance, precision and low trauma are its significant advantages. However, for cancer patients, especially those receiving immunotherapy, existing technologies face many challenges. Immunotherapy usually leads to enhanced activity of the patient's immune system, such as increased concentrations of granulocytes, T cells, and NK cells in the airways, which significantly increases the risk of contaminating biological samples during the biopsy process. This contamination may affect the accuracy and reliability of tumor detection.

[0003] Traditional methods of delivering tumor biological samples, such as increasing the number of punctures or increasing the volume of a single needle aspiration, hope to improve accuracy by increasing the sample volume, but these methods also inevitably increase the burden on the patient's body. More punctures mean longer operation time, and a larger sample volume may cause more complications. In addition, these methods usually require patients to be under general anesthesia, which further increases the risk and complexity of the operation.

[0004] The overlapping needle technique has been proposed to improve sampling accuracy and reduce interference with surrounding tissues. However, despite improving the efficiency of sample acquisition to a certain extent, this technique has also failed to significantly reduce anesthesia time and related risks in clinical practice.

[0005] Therefore, the current endotracheal ultrasound-guided transbronchial needle aspiration biopsy technology for tumor detection still has the problems of high sample contamination risk, long operation time, and heavy patient burden. Therefore, it is necessary to develop a new tumor biological sample delivery solution to solve these problems, thereby improving the accuracy and safety of diagnosis, reducing the anesthesia time and trauma of patients, and increasing the feasibility and safety of clinical operations.

[0006] Therefore, it is urgent to design a technical solution to solve at least one of the above technical problems. Summary of the invention

[0007] The embodiments of the present application provide a tumor biological sample delivery optimization system, method and device, which can solve the problems of high sample contamination risk, long operation time and heavy patient burden in the current endotracheal ultrasound-guided transbronchial needle aspiration biopsy technology for tumor detection. The provided system can improve the accuracy and safety of diagnosis, reduce the anesthesia time and trauma of patients, and increase the feasibility and safety of clinical operations.

[0008] In a first aspect, an embodiment of the present application provides a tumor biological sample delivery optimization system, comprising:

[0009] puncture needle;

[0010] A peristaltic pump, the peristaltic pump comprising a first end and a second end, the puncture needle being connected to the first end of the peristaltic pump;

[0011] a one-way valve assembly, wherein the second end of the peristaltic pump is connected to the inlet of the one-way valve assembly;

[0012] A tank body, wherein the fixing liquid is contained in the tank body and the tank body is connected to the outlet of the one-way valve assembly;

[0013] A control module, the control module is used to determine the tumor area in the area to be transferred based on the endotracheal ultrasound technology, and determine the target lesion tissue in the tumor area; the control module obtains the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transferred; the control module obtains the suction flow rate and the suction frequency according to the density and the patient's physiological information; when the puncture needle enters the target lesion tissue, the control module controls the peristaltic pump to perform sample suction on the target lesion tissue according to the suction flow rate and the suction frequency, and obtains the tissue fluid of the target lesion tissue; the control module updates the density of the target lesion tissue and the patient's physiological information during the sample suction process to update the suction flow rate and the suction frequency in real time; the control module generates the conduction frequency of the one-way valve assembly according to the suction frequency, controls the one-way valve assembly to be turned on according to the conduction frequency, and when the one-way valve assembly is turned on, the tissue fluid flows into the tank body, and the tissue fluid contacts and solidifies with the fixing liquid in the tank body; the control module completes the tumor biological sample transmission according to the solidified tissue fluid.

[0014] In some embodiments, the fixative is paraformaldehyde fixative.

[0015] In a second aspect, the present application provides a method for optimizing the delivery of a tumor biological sample, which is applied to a control module of a tumor biological sample delivery optimization system provided in any embodiment of the present application; the method comprises:

[0016] Determine a tumor region in the area to be delivered based on endotracheal ultrasound technology, and determine a target lesion tissue in the tumor region;

[0017] Acquire the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted;

[0018] Acquire a suction flow rate and a suction frequency according to the density and the patient's physiological information;

[0019] When the puncture needle enters the target lesion tissue, the peristaltic pump is controlled to perform sample suction on the target lesion tissue according to the suction flow rate and the suction frequency to obtain tissue fluid of the target lesion tissue; wherein, during the sample suction process, the density of the target lesion tissue and the physiological information of the patient are updated to update the suction flow rate and the suction frequency in real time;

[0020] generating a conduction frequency of the one-way valve assembly according to the suction frequency, controlling the conduction of the one-way valve assembly according to the conduction frequency, wherein the tissue fluid flows into the tank body when the one-way valve assembly is conducted, and the tissue fluid solidifies in contact with the fixing liquid in the tank body;

[0021] The tumor biological sample is transferred according to the solidified tissue fluid.

[0022] In some embodiments, the tumor biological sample delivery optimization system also includes an ultrasound device; the determining of the tumor area in the area to be delivered based on endotracheal ultrasound technology includes: when the probe of the ultrasound device is inserted into the airway, obtaining a first ultrasound image of the area to be delivered acquired by the ultrasound device; parsing the first ultrasound image, obtaining abnormal echo characteristics of the airway wall, and marking the area corresponding to the abnormal echo characteristics in the first ultrasound image as a suspicious area; the abnormal echo characteristics include at least any one of tissue thickening, echo enhancement and echo attenuation; in the first ultrasound image, obtaining an echo pattern corresponding to the suspicious area, and judging whether the echo pattern is a target echo pattern; the target echo pattern includes at least any one of irregular boundaries and uneven internal echoes; if the echo pattern is a target echo pattern, determining that the suspicious area is the tumor area.

[0023] Exemplarily, determining the target lesion tissue in the tumor area includes: adjusting the angle and position of the probe of the ultrasound device according to the position of the tumor area to perform multi-angle scanning of the tumor area to obtain multiple second ultrasound images of the tumor area acquired by the ultrasound device; constructing a stereoscopic image of the tumor area based on the multiple second ultrasound images; parsing the stereoscopic image to obtain morphological information, size information and boundary clarity information; determining the target lesion tissue in the stereoscopic image according to the patient's physiological information, the morphological information, size information and boundary clarity information; and adding a mark corresponding to the target lesion tissue in the area to be monitored according to the position of the tumor area in the area to be transmitted and the position of the target lesion tissue in the tumor area.

[0024] In some embodiments, the obtaining of the density of the target diseased tissue and the physiological information of the patient corresponding to the area to be transmitted includes: detecting the target diseased tissue based on endotracheal ultrasound technology to obtain multiple third ultrasound images; the third ultrasound images include electronic computed tomography images and magnetic resonance images; obtaining tissue density features corresponding to the multiple third ultrasound images to obtain the density of the target diseased tissue according to the tissue density features; obtaining basic physiological data, specific health indicators and dynamic physiological changes of the patient corresponding to the area to be transmitted; the basic physiological data include at least one or more of the patient's age, gender, weight, and body shape; the specific health indicators include at least one or more of blood pressure, heart rate, respiratory rate, and blood oxygen saturation; the dynamic physiological changes include at least respiratory changes; and the patient's physiological information is generated based on the basic physiological data, specific health indicators and dynamic physiological changes.

[0025] Exemplarily, the obtaining of the suction flow and the suction frequency according to the density and the patient's physiological information includes: obtaining the probe cross-sectional area and the suction pressure corresponding to the endotracheal ultrasound technology; generating a physiological regulation function and a maximum suction frequency according to the patient's physiological information; obtaining a demand function; the demand function is used to characterize the demand relationship between density and flow; obtaining the liquid viscosity and tissue elasticity corresponding to the target lesion tissue; calculating the suction flow according to the probe cross-sectional area, the suction pressure, the physiological regulation function and the demand function, and the expression corresponding to the suction flow is:

[0026]

[0027] Wherein, Q is the suction flow rate, k1 is the first correction coefficient, P is the suction pressure, S is the probe cross-sectional area, τ is the liquid viscosity, and f(ρ) is the demand function; the suction frequency is calculated according to the maximum suction frequency, tissue elasticity and density, and the expression corresponding to the suction frequency is:

[0028]

[0029] Wherein, F is the suction frequency, k2 is the second correction coefficient, δ is the tissue elasticity, ρ is the density, R is the number of breaths of the patient, and F max is the maximum suction frequency.

[0030] Exemplarily, the acquiring of tissue density features corresponding to the multiple third ultrasound images includes: spatially aligning the multiple third ultrasound images to unify the coordinate systems of the multiple third ultrasound images; performing feature extraction on the aligned multiple third ultrasound images to acquire multimodal data; inputting the multimodal data into a pretrained machine learning model to output tissue density features; the tissue density features include at least one or more of texture, echo intensity, and pathological features; and inputting the tissue density features into a pretrained density prediction model to output the density of the target lesion tissue.

[0031] In some embodiments, controlling the conduction of the one-way valve assembly according to the conduction frequency includes: calculating the flow rate of the tissue fluid according to the suction flow and the suction frequency; determining a target time interval according to the flow rate, the suction flow and the pipe length of the one-way valve assembly; the target time interval is used to determine the time interval between the start of suction by the peristaltic pump and the start of conduction of the one-way valve assembly; controlling the conduction of the one-way valve assembly according to the target time interval and the conduction frequency.

[0032] In a third aspect, an embodiment of the present application provides a tumor biological sample transmission optimization device, which is applied to a control module of a system provided in any embodiment of the present application; comprising:

[0033] A tissue determination unit, configured to determine a tumor region in the area to be transmitted based on an endotracheal ultrasound technique, and to determine a target lesion tissue in the tumor region;

[0034] An information acquisition unit, used to acquire the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted;

[0035] A frequency acquisition unit, used for acquiring a suction flow rate and a suction frequency according to the density and the patient's physiological information;

[0036] A suction completion unit, used for controlling the peristaltic pump to perform sample suction on the target lesion tissue according to the suction flow rate and suction frequency to obtain tissue fluid of the target lesion tissue when the puncture needle enters the target lesion tissue; wherein, during the sample suction process, the density of the target lesion tissue and the physiological information of the patient are updated to update the suction flow rate and suction frequency in real time;

[0037] a curing completion unit, configured to generate a conduction frequency of the one-way valve assembly according to the suction frequency, and control the conduction of the one-way valve assembly according to the conduction frequency, so that the tissue fluid flows into the tank body when the one-way valve assembly is conducted, and the tissue fluid contacts and solidifies with the fixing liquid in the tank body;

[0038] The transfer completion unit is used to complete the transfer of the tumor biological sample according to the solidified tissue fluid.

[0039] In a fourth aspect, the present application further provides a control module, comprising a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the method for optimizing the delivery of tumor biological samples as described in the second aspect is implemented.

[0040] In a fifth aspect, the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the tumor biological sample delivery optimization method as described in the second aspect.

[0041] The embodiments of the present application provide a tumor biological sample transmission optimization system, method and device. It can solve the problems of high sample contamination risk, long operation time and heavy patient burden in the current transbronchial needle aspiration biopsy technology under endotracheal ultrasound guidance for tumor detection. The system includes a puncture needle, a peristaltic pump, a one-way valve assembly, a tank body and a control module. The peristaltic pump includes a first end and a second end. The puncture needle is connected to the first end of the peristaltic pump, and the second end of the peristaltic pump is connected to the inlet of the one-way valve assembly. The tank body contains a fixing liquid, and the tank body is connected to the outlet of the one-way valve assembly. The method is applied to the control module of the system provided in any embodiment of the present application. The method determines the tumor area in the area to be transmitted based on endotracheal ultrasound technology, and determines the target lesion tissue in the tumor area; obtains the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted; obtains the suction flow rate and the suction frequency according to the density and the patient's physiological information; when the puncture needle enters the target lesion tissue, controls the peristaltic pump to perform sample suction on the target lesion tissue according to the suction flow rate and the suction frequency, and obtains the tissue fluid of the target lesion tissue; wherein, during the sample suction process, the density of the target lesion tissue and the patient's physiological information are updated to update the suction flow rate and the suction frequency in real time; generates the conduction frequency of the one-way valve assembly according to the suction frequency, controls the conduction of the one-way valve assembly according to the conduction frequency, and when the one-way valve assembly is conducted, the tissue fluid flows into the tank body, and the tissue fluid contacts and solidifies with the fixing liquid in the tank body; and completes the tumor biological sample transmission according to the solidified tissue fluid.

[0042] The system provided is connected to the first end of the peristaltic pump through the puncture needle for extracting the sample. The second end of the peristaltic pump is connected to the inlet of the one-way valve assembly for transferring the sample. The tank is connected to the outlet of the one-way valve assembly so that the sample is mixed with the fixative after entering the tank. The one-way valve can be used to control the flow direction of the sample and the contact with the fixative to reduce external contamination. The suction flow rate and frequency are automatically controlled to improve efficiency. At the same time, the suction process is optimized to reduce discomfort and potential complications.

[0043] Methods The tumor area is determined and the target lesion tissue is identified. According to the density of the lesion tissue and the patient's physiological information, the appropriate suction flow and frequency are calculated. The density of the target lesion tissue and the patient's information are updated in real time to adjust the suction parameters. The peristaltic pump is controlled to achieve sample suction and enter the tank through a one-way valve for solidification. Through real-time adjustment, the accuracy and representativeness of sample collection are ensured. The operation is dynamically adjusted according to the real-time updated data to improve the adaptability of the operation.

[0044] Overall, the provided systems and methods significantly improve the efficiency and safety of tumor sample collection and delivery through automated and precise control processes, and have important clinical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A schematic block diagram of the structure of the system shown in the embodiment of the present application;

[0047] Figure 2 A schematic diagram of a method flow chart of an embodiment of the present application;

[0048] Figure 3 A schematic diagram of the structure of the system shown in the embodiment of the present application;

[0049] Figure 4 This is a schematic diagram of the structure of a control module shown in an embodiment of the present application. DETAILED DESCRIPTION

[0050] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, systems, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0051] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0052] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0053] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0054] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0055] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0056] The technical solution of the embodiment of the present application is introduced below.

[0057] In the process of transbronchial needle aspiration biopsy under endotracheal ultrasound guidance, precision and low trauma are its significant advantages. However, for cancer patients, especially those receiving immunotherapy, existing technologies face many challenges. Immunotherapy usually leads to enhanced activity of the patient's immune system, such as increased concentrations of granulocytes, T cells, and NK cells in the airways, which significantly increases the risk of contaminating biological samples during the biopsy process. This contamination may affect the accuracy and reliability of tumor detection.

[0058] Traditional methods of delivering tumor biological samples, such as increasing the number of punctures or increasing the volume of a single needle aspiration, hope to improve accuracy by increasing the sample volume, but these methods also inevitably increase the burden on the patient's body. More punctures mean longer operation time, and a larger sample volume may cause more complications. In addition, these methods usually require patients to be under general anesthesia, which further increases the risk and complexity of the operation.

[0059] The overlapping needle technique has been proposed to improve sampling accuracy and reduce interference with surrounding tissues. However, despite improving the efficiency of sample acquisition to a certain extent, this technique has also failed to significantly reduce anesthesia time and related risks in clinical practice.

[0060] Therefore, the current endotracheal ultrasound-guided transbronchial needle aspiration biopsy technology for tumor detection still has the problems of high sample contamination risk, long operation time, and heavy patient burden. Therefore, it is necessary to develop a new tumor biological sample delivery solution to solve these problems, thereby improving the accuracy and safety of diagnosis, reducing the anesthesia time and trauma of patients, and increasing the feasibility and safety of clinical operations.

[0061] Please refer to Figure 1 , Figure 1 This is a schematic block diagram of the structure of a tumor biological sample delivery optimization system 10 provided in an embodiment of the present application. Figure 1 As shown, the provided tumor biological sample transmission optimization system 10 is used to transmit tumor biological samples of patients to be punctured. The provided tumor biological sample transmission optimization system 10 includes a puncture needle 11, a peristaltic pump 12, a control module 13, a one-way valve assembly 14 and a tank body 15, the peristaltic pump 12 includes a first end and a second end, the puncture needle 11 is connected to the first end of the peristaltic pump 12, the second end of the peristaltic pump 12 is connected to the inlet of the one-way valve assembly 14, the tank body 15 contains a fixing liquid, and the tank body 15 is connected to the outlet of the one-way valve assembly 14.

[0062] Among them, the control module 13 is electrically connected to the peristaltic pump 12 and the one-way valve assembly 14 respectively. The control module 13 is used to determine the tumor area in the area to be transmitted based on the endotracheal ultrasound technology, and determine the target lesion tissue in the tumor area; the control module 13 obtains the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted; the control module 13 obtains the suction flow rate and the suction frequency according to the density and the patient's physiological information; when the puncture needle 11 enters the target lesion tissue, the control module 13 controls the peristaltic pump 12 to perform sample suction on the target lesion tissue according to the suction flow rate and the suction frequency, and obtains the tissue fluid of the target lesion tissue; the control module 13 updates the density of the target lesion tissue and the patient's physiological information during the sample suction process to update the suction flow rate and the suction frequency in real time; the control module 13 generates the conduction frequency of the one-way valve assembly 14 according to the suction frequency, controls the one-way valve assembly 14 to be turned on according to the conduction frequency, and when the one-way valve assembly 14 is turned on, the tissue fluid flows into the tank body 15, and the tissue fluid contacts and solidifies with the fixing liquid in the tank body 15; the control module 13 completes the tumor biological sample transmission according to the solidified tissue fluid.

[0063] Specifically, the puncture needle 11 is directly connected to the peristaltic pump 12. This design allows stable and continuous sample delivery during the extraction process, reducing the risk of sample contamination. The one-way valve assembly 14 is a key component in the sample delivery process, preventing the sample from flowing back during the pumping process, which helps to maintain the integrity and quality of the sample. The control module 13 determines the area of ​​the patient's tumor through intratracheal ultrasound technology, and further locates the specific target lesion tissue to ensure the accuracy of sample collection.

[0064] The density of the diseased tissue and the physiological information of the patient are dynamically acquired and updated through the control module 13 to calculate the most suitable suction flow and frequency, thereby achieving more accurate sample collection. During the collection process, the control module 13 continuously updates the density of the target tissue and the physiological information of the patient to optimize the suction process, which improves the collection efficiency and reduces the impact on the patient. The collected tissue fluid flows into the tank body 15 through the one-way valve assembly 14, and contacts with the fixative in the tank body 15 for solidification, which helps to preserve the sample freshness and long-term storage.

[0065] Then, the tumor area and target lesion tissue are accurately located through endotracheal ultrasound, reducing the risk of mis-collection or damage to healthy tissue. The suction flow and frequency are dynamically adjusted to adapt to the characteristics of the target tissue to ensure the integrity and efficiency of sample collection. The storage stability of the sample is enhanced after solidification treatment, which is helpful for subsequent analysis and research. The control module 13 performs precise modular control throughout the process to reduce errors caused by manual operation and improve system reliability. Real-time adjustment of acquisition parameters to minimize the impact on patients can improve the acquisition experience and also help patients recover quickly. Through the synergy of multiple advanced technologies, the system not only improves the efficiency of sample collection and transmission, but also improves the accuracy of clinical analysis. It is an important tool in tumor diagnosis and treatment.

[0066] In some embodiments, the puncture needle 11 is generally made of a biocompatible material such as stainless steel to ensure that no adverse reactions occur when entering the human body. The puncture needle 11 needs to be sharp enough to reduce pain during insertion and have a suitable diameter to effectively collect tissue fluid. The puncture needle is used to directly puncture the target lesion tissue to ensure that an effective sample is collected.

[0067] In some embodiments, the peristaltic pump 12 is generally composed of a soft and flexible silicone tube for easy compression operation. The peristaltic pump 12 also includes a roller / rotor, a housing and a motor. The movement of the fluid is achieved by squeezing the hose by the roller or rotor, thereby controlling and driving the transmission of the liquid sample. The housing is generally made of durable plastic or metal, and the motor provides a stable driving force. The liquid flow is then controlled by the peristaltic pump 12, and the transmission of the sample from the puncture needle 11 to the one-way valve can be accurately managed to achieve stable suction and transmission.

[0068] In some embodiments, the one-way valve assembly 14 includes a valve body, a valve plate / ball valve and a sealing ring. The valve body is made of stainless steel or high-strength plastic to ensure its safety and durability in operation. The valve plate / ball valve controls its opening and closing by the internal and external pressure difference to ensure that the liquid flows in one direction. The sealing ring is used to ensure that there is no leakage and maintain the integrity of the system. In addition, the one-way valve assembly 14 ensures that the tissue fluid can only flow from the peristaltic pump 12 to the tank body 15, preventing liquid backflow and ensuring the effective transmission of the sample.

[0069] In some embodiments, the tank body 15 is generally made of a transparent or translucent material, such as polycarbonate or glass, to facilitate observation of the internal liquid state. The tank body 15 contains a chemical fixative for immediate fixation of the collected tissue fluid to prevent its denaturation. The tank body 15 also includes a sealing cover to prevent the sample from contacting the external environment and maintaining a sterile state. The tank body 15 is used to receive and store tissue fluid, and the sample is quickly solidified after contacting the internal fixative to facilitate subsequent storage and analysis.

[0070] In some embodiments, the fixative is a paraformaldehyde fixative. Paraformaldehyde is a commonly used chemical fixative that can cross-link with proteins in tissues and effectively maintain the integrity of cell and tissue structures. Paraformaldehyde has good storage stability at room temperature and can maintain the activity of the fixative for a long time. Paraformaldehyde can quickly penetrate tissues and achieve cross-linking, greatly shortening the processing time of samples after collection and reducing the possibility of sample degradation. It can effectively penetrate into the fine structure of the tissue to ensure all-round fixation.

[0071] At the same time, paraformaldehyde can maintain the original state of structures such as cell membranes and cell nuclei at the microscopic level, which is conducive to subsequent histological analysis and diagnosis. While protecting protein molecules, paraformaldehyde fixative can also prevent degradation by bacteria and enzymes, thereby improving the preservation quality of samples.

[0072] The fixed samples are suitable for a variety of further analyses and processing, such as microscopy, immunohistochemistry and other experiments, which increases the flexibility of sample analysis. At the same time, paraformaldehyde is a commonly used fixative in laboratories, and the relevant processing steps and safety measures have very clear standards, which is conducive to the operator's quick start and efficient work. By using paraformaldehyde fixative, the stability and effectiveness of the system in biological sample processing are enhanced, providing high-quality fixed samples for downstream analysis.

[0073] In some embodiments, the control module 13 is a microcontroller unit (MCU), and any embodiment corresponding to the method provided in the present application can be implemented by the MCU.

[0074] Please refer to Figure 2 , Figure 2 The flowchart of a tumor biological sample transmission optimization method provided in the embodiment of the present application is shown in FIG. The tumor biological sample transmission optimization method of the embodiment of the present application can be applied to the control module of the system provided in any embodiment of the present application, and the control module can be an MCU. Figure 2 As shown, the tumor biological sample transmission optimization method of this embodiment includes steps S101 to S106, which are described in detail as follows:

[0075] Step S101 : determining a tumor region in the area to be transmitted based on endotracheal ultrasound technology, and determining a target lesion tissue in the tumor region.

[0076] Specifically, endotracheal ultrasound (EBUS) technology is used to obtain high-resolution tissue images. Ultrasound signals are used to distinguish different tissue types, thereby accurately locating the tumor area and the diseased tissue therein. For example, an ultrasound probe is sent into the trachea through a bronchoscope to capture images in real time. Combined with computer intelligent imaging analysis, it assists medical staff in identifying potential lesions. Doppler ultrasound is used to evaluate the blood flow of lesion tissue to confirm tumor activity. Accurate positioning can reduce the misdiagnosis rate and unnecessary re-sampling operations. At the same time, real-time dynamic imaging improves the ability to identify complex lesion areas. This improves the accuracy of target selection, thereby increasing the number and quality of collected samples.

[0077] Step S102, obtaining the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted.

[0078] Specifically, appropriate suction parameters are formulated by evaluating the density of target lesion tissue. Collect patient physiological information, such as circulatory health status, tissue structural abnormalities, etc. For example, analyze tissue density through ultrasound imaging and record its relative acoustic impedance. Collect patient medical records and physiological data, including lung function test results, blood tests, etc. This provides a benchmark for accurate sample collection and helps select appropriate suction strategies. At the same time, combined with the physiological characteristics of individual patients, improve the formulation of personalized surgical plans.

[0079] Step S103, obtaining the suction flow rate and suction frequency according to the density and the patient's physiological information.

[0080] Specifically, the optimal aspiration parameters are calculated by combining density and physiological data through computational models. Ensure that the flow rate and frequency of the peristaltic pump are suitable for specific patients and sample characteristics. If a dedicated software tool is used, the model input can be adjusted to simulate the optimal aspiration strategy under different conditions. The real-time feedback system updates the calculated parameters to ensure adjustment in dynamic operation. This optimizes sample extraction speed and sample integrity, and reduces cell damage or sample dilution caused by over-aspiration.

[0081] Step S104, when the puncture needle enters the target lesion tissue, the peristaltic pump is controlled to perform sample aspiration on the target lesion tissue according to the aspiration flow rate and the aspiration frequency to obtain tissue fluid of the target lesion tissue; wherein, during the sample aspiration process, the density of the target lesion tissue and the physiological information of the patient are updated to update the aspiration flow rate and the aspiration frequency in real time.

[0082] Specifically, by accurately detecting the penetration process of the puncture needle, the sample aspiration operation controlled by predetermined parameters is started, and dynamic adjustment is implemented to adjust the flow rate and frequency through real-time monitoring feedback. For example, under the linkage of sensors and control software, the aspiration process can be flexibly adjusted to maintain the optimal extraction state. The aspiration operation is corrected through real-time image monitoring and data feedback systems. By improving sampling efficiency and sample quality, tissue damage caused by improper aspiration is avoided. The aspiration strategy is updated in real time to ensure that the collection process matches the patient's condition.

[0083] Step S105, generating a conduction frequency of the one-way valve assembly according to the suction frequency, controlling the conduction of the one-way valve assembly according to the conduction frequency, and when the one-way valve assembly is conducted, the tissue fluid flows into the tank body, and the tissue fluid solidifies in contact with the fixative in the tank body.

[0084] Specifically, by using the conduction frequency derived from the suction frequency, the opening and closing state of the one-way valve assembly is precisely controlled. The frequency and timing of the smooth introduction of tissue fluid into the tank are determined. For example, the valve is controlled by a digital signal processor, and the flow rate is regularly corrected to match the liquid transmission. The feedback signal is used to ensure the synchronization of the valve opening and closing with the suction flow rate. This reduces the possibility of liquid backflow, improves the stability of the system, and ensures the integrity and quality of the sample during the transfer process.

[0085] Step S106, completing the tumor biological sample transmission according to the solidified tissue fluid.

[0086] Specifically, the sample is solidified by mixing the appropriate amount of tissue fluid with the fixative. The solidified sample is properly packaged and labeled and is ready to be sent to the laboratory. For example, by configuring standard transportation equipment, the sample is delivered under physical and biological safety conditions. The collected sample is immediately refrigerated to maintain its biological properties and credibility. This ensures that the sample is not degraded during transportation, which helps with subsequent detailed analysis. Provide reliable and standard methods for sample storage and processing to enhance the credibility of experimental results. The optimization method provided ensures the sample quality and accuracy of experimental results during the collection and delivery process through real-time monitoring, dynamic adjustment and intelligent control.

[0087] In some embodiments, the tumor biological sample delivery optimization system also includes an ultrasound device; determining the tumor area in the area to be delivered based on endotracheal ultrasound technology, including: when the probe of the ultrasound device is inserted into the airway, obtaining a first ultrasound image of the area to be delivered acquired by the ultrasound device; parsing the first ultrasound image, obtaining abnormal echo characteristics of the airway wall, and marking the area corresponding to the abnormal echo characteristics in the first ultrasound image as a suspicious area; the abnormal echo characteristics include at least any one of tissue thickening, echo enhancement and echo attenuation; in the first ultrasound image, obtaining an echo pattern corresponding to the suspicious area, and judging whether the echo pattern is a target echo pattern; the target echo pattern includes at least any one of irregular boundaries and uneven internal echoes; if the echo pattern is the target echo pattern, determining that the suspicious area is a tumor area.

[0088] By inserting the ultrasound probe into the airway, a first ultrasound image of the area to be transmitted is obtained. The first ultrasound image is used to identify and analyze the characteristics of the airway and surrounding tissues. The first ultrasound image is analyzed to locate the abnormal echo characteristics of the airway wall. Abnormal echo characteristics include tissue thickening, echo enhancement and echo reduction. The area with abnormal echo characteristics is marked as a suspicious area on the image. The echo pattern of the suspicious area is further analyzed. It is determined whether the echo pattern of the suspicious area reaches the target echo pattern. The target echo pattern includes features such as irregular boundaries and uneven internal echoes. If it meets the target pattern, the suspicious area is determined to be a tumor area.

[0089] Ultrasound imaging can then be used to identify the location of the tumor, which helps reduce unnecessary regional sampling. It can quickly identify abnormal areas and improve the efficiency and accuracy of identifying lesion areas. There is no need for initial physical sampling, and only acoustic features can provide preliminary diagnostic support.

[0090] Exemplarily, determining the target lesion tissue in the tumor area includes: adjusting the angle and position of the probe of the ultrasound device according to the position of the tumor area to perform multi-angle scanning of the tumor area and obtain multiple second ultrasound images of the tumor area acquired by the ultrasound device; constructing a stereoscopic image of the tumor area according to the multiple second ultrasound images; analyzing the stereoscopic image to obtain morphological information, size information and boundary clarity information; determining the target lesion tissue in the stereoscopic image according to the patient's physiological information, morphological information, size information and boundary clarity information; and adding a mark corresponding to the target lesion tissue in the area to be monitored according to the position of the tumor area in the area to be transmitted and the position of the target lesion tissue in the tumor area.

[0091] Adjust the angle and position of the ultrasound probe according to the location of the tumor area. Perform multi-angle scanning to obtain multiple second ultrasound images. Use the multiple images obtained to construct a stereoscopic image of the tumor area. Provide spatial morphological information of the tumor to facilitate clearer identification of the lesion. Analyze the stereoscopic image to obtain information such as morphology, size, and boundary clarity. Combined with the patient's physiological information, more accurately determine the location of the target lesion. Add a marker corresponding to the target lesion in the area to be monitored for subsequent processing.

[0092] Providing stereoscopic images helps medical personnel intuitively understand the location and characteristics of lesions. Based on various information (morphology, size, boundaries, etc.), the target lesion tissue can be more accurately identified and located. Combined with the patient's specific physiological information, it provides a solid data foundation for personalized medicine. By marking the lesion tissue, the subsequent processing and analysis process of doctors or automated equipment is simplified.

[0093] Through such technical integration and process optimization, the above-mentioned embodiments and examples thereof not only improve the accuracy and efficiency of tumor region identification, but also provide technical guarantee and operational support for further precise diagnosis and sample collection.

[0094] In some embodiments, obtaining the density of the target diseased tissue and the physiological information of the patient corresponding to the area to be transmitted includes: detecting the target diseased tissue based on endotracheal ultrasound technology to obtain multiple third ultrasound images; the third ultrasound images include electronic computed tomography images and magnetic resonance images; obtaining tissue density characteristics corresponding to the multiple third ultrasound images to obtain the density of the target diseased tissue according to the tissue density characteristics; obtaining the basic physiological data, specific health indicators and dynamic physiological changes of the patient corresponding to the area to be transmitted; the basic physiological data at least include one or more of the patient's age, gender, weight, and body shape; the specific health indicators at least include one or more of blood pressure, heart rate, respiratory rate, and blood oxygen saturation; dynamic physiological changes at least include respiratory changes; and generating the patient's physiological information based on the basic physiological data, specific health indicators and dynamic physiological changes.

[0095] Generate multiple third ultrasound images by using endotracheal ultrasound technology, including electronic computed tomography (CT) images and magnetic resonance imaging (MRI). Extract tissue density features from multiple third ultrasound images to determine the density of target lesion tissue. Collect basic physiological data including age, gender, weight, and body shape. Obtain specific health indicators such as blood pressure, heart rate, respiratory rate, and blood oxygen saturation. Collect dynamic physiological changes to focus on the impact of respiratory changes on the overall state. Integrate the above data into a set to generate patient physiological information.

[0096] This provides a deep understanding of physiological status through multimodal imaging and physiological data analysis. Combining CT and MRI provides accurate tissue density characteristics, providing a basis for subsequent calculations and medical treatment. Extensive coverage of patient physiological data helps tailor surgical and treatment parameters.

[0097] Exemplarily, the suction flow rate and suction frequency are obtained according to the density and the patient's physiological information, including: obtaining the probe cross-sectional area and suction pressure corresponding to the endotracheal ultrasound technology; generating a physiological regulation function and a maximum suction frequency according to the patient's physiological information; obtaining a demand function; the demand function is used to characterize the demand relationship between density and flow rate; obtaining the liquid viscosity and tissue elasticity corresponding to the target lesion tissue; calculating the suction flow rate according to the probe cross-sectional area, suction pressure, physiological regulation function and demand function, and the expression corresponding to the suction flow rate is:

[0098]

[0099] Where Q is the suction flow rate, k1 is the first correction coefficient, P is the suction pressure, S is the probe cross-sectional area, τ is the liquid viscosity, and f(ρ) is the demand function; the suction frequency is calculated based on the maximum suction frequency, tissue elasticity and density, and the corresponding expression for the suction frequency is:

[0100]

[0101] Where F is the suction frequency, k2 is the second correction coefficient, δ is the tissue elasticity, ρ is the density, R is the patient's breathing number, F max is the maximum suction frequency.

[0102] By obtaining the cross-sectional area and suction pressure of the endotracheal ultrasound probe. Generate a physiological regulation function based on physiological data and calculate the maximum suction frequency. The demand function is used to describe the demand relationship between density and flow. It is a function of density and is used to reflect the influence of density on flow demand. It can be a linear or nonlinear relationship (adjusted according to actual needs). At the same time, higher elasticity can allow higher frequencies. The total suction force acting on the liquid is also calculated by multiplying the pressure by the cross-sectional area. Higher viscosity will cause the denominator to become larger, thereby reducing the overall flow. This reflects that in reality, higher fluid viscosity will require the user to apply more suction force to obtain the same flow. Methods The suction operation is optimized based on density, viscosity and flow demand functions. The combination of maximum suction frequency and physiological regulation gives the operation higher safety and personalization. Dynamically calculated frequency and flow ensure the effectiveness of the operation under different tissue characteristics.

[0103] At the same time, by integrating the breathing rate into the suction frequency formula, the rationality of the suction rhythm can be enhanced, ensuring that the operation is performed during the patient's physiological window period, improving efficiency and reducing unnecessary physiological stress. When designing the suction frequency, adapting it to the patient's breathing rate can reduce interference with the breathing process, thereby reducing potential physiological discomfort. For example, avoid suction operations during the peak period of inspiration or exhalation to minimize interference with the natural breathing rhythm. The method provided by the number of breaths can design the suction frequency more carefully so as to better adapt to the patient's natural physiological rhythm during the operation.

[0104] Exemplarily, obtaining tissue density features corresponding to multiple third ultrasound images includes: spatially aligning the multiple third ultrasound images to unify the coordinate systems of the multiple third ultrasound images; performing feature extraction on the aligned multiple third ultrasound images to obtain multimodal data; inputting the multimodal data into a pre-trained machine learning model to output tissue density features; the tissue density features include at least one or more of texture, echo intensity and pathological features; and inputting the tissue density features into a pre-trained density prediction model to output the density of the target lesion tissue.

[0105] By spatially aligning multiple ultrasound images, a unified coordinate system is used to form a consistent data foundation for subsequent processing. Through image analysis, features of multimodal data such as texture, echo intensity, and pathological features are extracted. Multimodal data is input into a pre-trained machine learning model to output more accurate tissue density features. Tissue density features are input into a pre-trained density prediction model to ultimately output the density of the target lesion tissue. Multimodal fusion enables higher-dimensional feature extraction and tissue density prediction to support precise medical decision-making. Spatial alignment ensures consistency in data processing from different perspectives and reduces errors. Machine learning significantly improves prediction accuracy and processing speed, supporting real-time processing feedback.

[0106] By integrating these technologies, the entire process can improve accuracy and efficiency in multiple dimensions, providing a more solid foundation for subsequent diagnosis and treatment.

[0107] In some embodiments, the conduction of the one-way valve assembly is controlled according to the conduction frequency, including: calculating the flow rate of the tissue fluid according to the suction flow and the suction frequency; determining the target time interval according to the flow rate, the suction flow and the pipe length of the one-way valve assembly; the target time interval is used to determine the time interval between the start of suction by the peristaltic pump and the start of conduction of the one-way valve assembly; and controlling the conduction of the one-way valve assembly according to the target time interval and the conduction frequency.

[0108] The flow rate of the tissue fluid is calculated based on the suction flow rate and the suction frequency. The calculation of the flow rate is an important parameter to ensure the smooth flow of tissue fluid in the pipeline. By determining the time interval from the start of suction by the peristaltic pump to the start of conduction of the one-way valve assembly. This step takes into account the flow rate of the tissue fluid, the suction flow rate, and the length of the one-way valve assembly pipeline. The target time interval allows the tissue fluid to be properly conducted when it reaches the one-way valve assembly to avoid backflow or blockage. The calculated target time interval and conduction frequency are used to accurately control the conduction and closing of the one-way valve assembly. The feedback system confirms the consistency of the conduction timing and the arrival timing of the fluid flow to optimize fluid control.

[0109] By ensuring that tissue fluid can flow at an appropriate speed in the system, the risk of system damage caused by fluid accumulation or excessive pressure is reduced. By accurately controlling the time interval and conduction frequency, the synchronous operation of the peristaltic pump and valve module is ensured, and the efficiency of the entire suction and transmission system is improved. Accurate time control reduces liquid backflow and sample contamination caused by premature or late conduction, thereby improving the integrity of sample collection. By reducing the uneven flow or blockage that may occur during operation, the safety and reliability of the operation are enhanced. This control method based on time interval and conduction frequency improves the stability and reliability of the entire extraction and transmission process, which helps to maintain sample quality and long-term use of equipment.

[0110] The provided tumor biological sample delivery optimization method has the following beneficial effects:

[0111] 1. Improve diagnostic accuracy: By comprehensively utilizing endotracheal ultrasound imaging, CT and MRI multimodal imaging technologies, accurate positioning and density feature analysis of the tumor area can be achieved, thereby improving the accuracy of identifying tumor lesion tissue.

[0112] 2. Personalized treatment: Optimize the suction flow and frequency according to the specific patient's physiological information (such as age, gender, weight, and health indicators) to adapt the operation to individual needs and reflect the advantages of personalized medicine.

[0113] 3. Optimize sampling system efficiency: Optimize the control of the one-way valve assembly through time interval and flow rate calculation to ensure that the sample transmission system works efficiently while reducing errors and improving the transmission success rate.

[0114] 4. Reduce operational risks: Through precise control of liquid flow rate and pump valve coordination, the risk of liquid backflow and blockage is reduced, thereby improving operational safety.

[0115] 5. Integrity and sample quality control: Ensure the integrity of sample collection through precise time and flow control to reduce sample contamination or loss caused by improper operation.

[0116] 6. Enhanced data analysis capabilities: Analyzing multimodal data using pre-trained machine learning models improves insight into tissue density characteristics and predictive accuracy, supporting automated and intelligent decision making.

[0117] 7. Real-time dynamic monitoring and adjustment: Dynamic adjustment of suction and delivery parameters enables the system to respond to patient physiological changes in real time, ensuring adaptability in different surgical or treatment scenarios.

[0118] Overall, this method improves the sample collection and processing process by integrating multiple technical means to ensure higher accuracy and effectiveness of diagnosis and treatment.

[0119] In order to implement the tumor biological sample delivery optimization method corresponding to the above method embodiment, to achieve the corresponding functions and technical effects. Figure 3 , Figure 3 The structural block diagram of a tumor biological sample transmission optimization device 200 provided in an embodiment of the present application is shown. The system is applied to a control module of a system provided in any embodiment of the present application. For ease of description, only the parts related to the present embodiment are shown. The tumor biological sample transmission optimization device 200 provided in an embodiment of the present application includes:

[0120] A tissue determination unit 201 is used to determine a tumor region in the area to be transmitted based on the endotracheal ultrasound technology, and determine a target lesion tissue in the tumor region;

[0121] An information acquisition unit 202 is used to acquire the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted;

[0122] A frequency acquisition unit 203, used to acquire a suction flow rate and a suction frequency according to the density and the patient's physiological information;

[0123] The suction completion unit 204 is used to control the peristaltic pump to perform sample suction on the target lesion tissue according to the suction flow rate and suction frequency when the puncture needle enters the target lesion tissue, so as to obtain tissue fluid of the target lesion tissue; wherein, during the sample suction process, the density of the target lesion tissue and the physiological information of the patient are updated to update the suction flow rate and suction frequency in real time;

[0124] The solidification completion unit 205 is used to generate a conduction frequency of the one-way valve assembly according to the suction frequency, and control the conduction of the one-way valve assembly according to the conduction frequency, so that the tissue fluid flows into the tank body when the one-way valve assembly is conducted, and the tissue fluid contacts the fixing liquid in the tank body and solidifies;

[0125] The transmission completion unit 206 is used to complete the transmission of the tumor biological sample according to the solidified tissue fluid.

[0126] In some embodiments, the tumor biological sample transmission optimization system also includes an ultrasound device; the tissue determination unit 201 is also used to: when the probe of the ultrasound device is inserted into the airway, obtain a first ultrasound image of the area to be transmitted collected by the ultrasound device; analyze the first ultrasound image, obtain abnormal echo characteristics of the airway wall, and mark the area corresponding to the abnormal echo characteristics in the first ultrasound image as a suspicious area; the abnormal echo characteristics include at least any one of tissue thickening, echo enhancement and echo attenuation; in the first ultrasound image, obtain the echo pattern corresponding to the suspicious area, and determine whether the echo pattern is a target echo pattern; the target echo pattern includes at least any one of irregular boundaries and uneven internal echoes; if the echo pattern is the target echo pattern, the suspicious area is determined to be a tumor area.

[0127] Exemplarily, the tissue determination unit 201 is also used to: adjust the angle and position of the probe of the ultrasound device according to the position of the tumor area to perform multi-angle scanning of the tumor area to obtain multiple second ultrasound images of the tumor area acquired by the ultrasound device; construct a stereoscopic image of the tumor area based on the multiple second ultrasound images; analyze the stereoscopic image to obtain morphological information, size information and boundary clarity information; determine the target diseased tissue in the stereoscopic image according to the patient's physiological information, morphological information, size information and boundary clarity information; and add a mark corresponding to the target diseased tissue in the area to be monitored according to the position of the tumor area in the area to be transmitted and the position of the target diseased tissue in the tumor area.

[0128] In some embodiments, the information acquisition unit 202 is also used to: detect the target diseased tissue based on endotracheal ultrasound technology to obtain multiple third ultrasound images; the third ultrasound images include electronic computed tomography images and magnetic resonance images; obtain tissue density characteristics corresponding to the multiple third ultrasound images to obtain the density of the target diseased tissue based on the tissue density characteristics; obtain the basic physiological data, specific health indicators and dynamic physiological changes of the patient corresponding to the area to be transmitted; the basic physiological data at least include one or more of the patient's age, gender, weight, and body shape; the specific health indicators at least include one or more of blood pressure, heart rate, respiratory rate, and blood oxygen saturation; dynamic physiological changes at least include respiratory changes; generate patient physiological information based on the basic physiological data, specific health indicators and dynamic physiological changes.

[0129] Exemplarily, the frequency acquisition unit 203 is also used to: obtain the probe cross-sectional area and suction pressure corresponding to the endotracheal ultrasound technology; generate a physiological regulation function and a maximum suction frequency according to the patient's physiological information; obtain a demand function; the demand function is used to characterize the demand relationship between density and flow; obtain the liquid viscosity and tissue elasticity corresponding to the target lesion tissue; calculate the suction flow according to the probe cross-sectional area, suction pressure, physiological regulation function and demand function, and the expression corresponding to the suction flow is:

[0130]

[0131] Where Q is the suction flow rate, k1 is the first correction coefficient, P is the suction pressure, S is the probe cross-sectional area, τ is the liquid viscosity, and f(ρ) is the demand function; the suction frequency is calculated based on the maximum suction frequency, tissue elasticity and density, and the corresponding expression for the suction frequency is:

[0132]

[0133] Where F is the suction frequency, k2 is the second correction coefficient, δ is the tissue elasticity, ρ is the density, R is the patient's breathing number, F max is the maximum suction frequency.

[0134] Exemplarily, the information acquisition unit 202 is also used to: spatially align multiple third ultrasound images to unify the coordinate systems of the multiple third ultrasound images; perform feature extraction on the aligned multiple third ultrasound images to obtain multimodal data; input the multimodal data into a pre-trained machine learning model to output tissue density features; the tissue density features include at least one or more of texture, echo intensity and pathological features; and input the tissue density features into a pre-trained density prediction model to output the density of the target lesion tissue.

[0135] In some embodiments, the curing completion unit 205 is also used to: calculate the flow rate of the tissue fluid based on the suction flow and the suction frequency; determine the target time interval based on the flow rate, the suction flow and the pipe length of the one-way valve assembly; the target time interval is used to determine the time interval between the start of suction by the peristaltic pump and the start of conduction of the one-way valve assembly; and control the conduction of the one-way valve assembly based on the target time interval and the conduction frequency.

[0136] The above-mentioned tumor biological sample transmission optimization device 200 can implement the tumor biological sample transmission optimization method of the above-mentioned method embodiment. The options in the above-mentioned method embodiment are also applicable to this embodiment and will not be described in detail here. The rest of the contents of the embodiment of this application can refer to the contents of the above-mentioned method embodiment, and will not be repeated in this embodiment.

[0137] Figure 4 This is a schematic diagram of the structure of a control module provided in one embodiment of the present application. Figure 4 As shown, the control module 13 of this embodiment includes: at least one processor 130 ( Figure 4 Only one is shown in the figure), a memory 131, and a computer program 132 stored in the memory 131 and executable on the at least one processor 130, wherein the processor 130 implements the steps of any of the above method embodiments when executing the computer program 132.

[0138] The control module 13 may be a microcontroller mounted on a smart phone, a tablet computer, a desktop computer, or a cloud server. The control module may include, but is not limited to, a processor 130 and a memory 131. Those skilled in the art will appreciate that Figure 4 This is only an example of the control module 13 and does not constitute a limitation on the control module 13 , which may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, may also include input and output devices, network access devices, etc.

[0139] The processor 130 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0140] In some embodiments, the memory 131 may be an internal storage unit of the control module 13, such as a hard disk or memory of the control module 13. In other embodiments, the memory 131 may also be an external storage device of the control module 13, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control module 13. Further, the memory 131 may also include both an internal storage unit of the control module 13 and an external storage device. The memory 131 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 131 may also be used to temporarily store data that has been output or is to be output.

[0141] In addition, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0142] An embodiment of the present application provides a computer program product. When the computer program product runs on a control module, the control module implements the steps in the above-mentioned method embodiments when executed.

[0143] In several embodiments provided in the present application, it is understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0144] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a control module to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

[0145] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A tumor biological sample transmission optimization system, characterized in that: include: puncture needle; A peristaltic pump, the peristaltic pump comprising a first end and a second end, the puncture needle being connected to the first end of the peristaltic pump; a one-way valve assembly, wherein the second end of the peristaltic pump is connected to the inlet of the one-way valve assembly; A tank body, wherein the fixing liquid is contained in the tank body and the tank body is connected to the outlet of the one-way valve assembly; A control module, the control module is used to determine a tumor area in the area to be transmitted based on the endotracheal ultrasound technology, and determine a target lesion tissue in the tumor area; the control module obtains the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted; The control module obtains the suction flow rate and the suction frequency according to the density and the patient's physiological information; when the puncture needle enters the target lesion tissue, the control module controls the peristaltic pump to perform sample suction on the target lesion tissue according to the suction flow rate and the suction frequency to obtain tissue fluid of the target lesion tissue; The control module updates the density of the target lesion tissue and the patient's physiological information during the sample suction process to update the suction flow and suction frequency in real time; the control module generates a conduction frequency of the one-way valve assembly according to the suction frequency, and controls the conduction of the one-way valve assembly according to the conduction frequency. When the one-way valve assembly is conducted, the tissue fluid flows into the tank body, and the tissue fluid contacts and solidifies with the fixing liquid in the tank body; the control module completes the tumor biological sample transmission according to the solidified tissue fluid.

2. The system according to claim 1, characterized in that The fixing liquid is paraformaldehyde fixing liquid.

3. A method for optimizing the delivery of tumor biological samples, characterized in that: A control module applied to a tumor biological sample transmission optimization system according to any one of claims 1 to 2, wherein the method comprises: Determine a tumor region in the area to be delivered based on endotracheal ultrasound technology, and determine a target lesion tissue in the tumor region; Acquire the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted; Acquire a suction flow rate and a suction frequency according to the density and the patient's physiological information; When the puncture needle enters the target lesion tissue, the peristaltic pump is controlled to perform sample suction on the target lesion tissue according to the suction flow rate and the suction frequency to obtain tissue fluid of the target lesion tissue; wherein, during the sample suction process, the density of the target lesion tissue and the physiological information of the patient are updated to update the suction flow rate and the suction frequency in real time; generating a conduction frequency of the one-way valve assembly according to the suction frequency, controlling the conduction of the one-way valve assembly according to the conduction frequency, wherein the tissue fluid flows into the tank body when the one-way valve assembly is conducted, and the tissue fluid solidifies in contact with the fixing liquid in the tank body; The tumor biological sample is transferred according to the solidified tissue fluid.

4. The method according to claim 3, characterized in that The tumor biological sample delivery optimization system further includes an ultrasound device; the step of determining the tumor area in the area to be delivered based on the intratracheal ultrasound technology includes: When the probe of the ultrasound device is inserted into the airway, a first ultrasound image of the area to be transmitted acquired by the ultrasound device is obtained; Analyze the first ultrasound image, obtain abnormal echo features of the airway wall, and mark the area corresponding to the abnormal echo features in the first ultrasound image as a suspicious area; the abnormal echo features include at least one of tissue thickening, echo enhancement and echo reduction; In the first ultrasound image, an echo pattern corresponding to the suspicious area is obtained, and it is determined whether the echo pattern is a target echo pattern; the target echo pattern includes at least one of an irregular boundary and an uneven internal echo; If the echo pattern is the target echo pattern, the suspicious area is determined to be the tumor area.

5. The method according to claim 4, characterized in that Determining the target lesion tissue in the tumor region comprises: According to the position of the tumor area, adjusting the angle and position of the probe of the ultrasound device to perform multi-angle scanning on the tumor area, and obtaining a plurality of second ultrasound images of the tumor area collected by the ultrasound device; constructing a stereoscopic image of the tumor area according to the plurality of the second ultrasound images; Analyzing the stereoscopic image to obtain morphological information, size information, and boundary definition information; Determine the target lesion tissue in the stereoscopic image according to the patient's physiological information, the morphological information, the size information and the boundary definition information; According to the position of the tumor region in the region to be transmitted and the position of the target lesion tissue in the tumor region, a mark corresponding to the target lesion tissue is added in the region to be transmitted.

6. The method according to claim 3, characterized in that The step of obtaining the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted includes: Detecting the target lesion tissue based on endotracheal ultrasound technology to obtain a plurality of third ultrasound images; the third ultrasound images include electronic computer tomography images and magnetic resonance images; Acquire tissue density features corresponding to the plurality of third ultrasound images, so as to acquire the density of the target lesion tissue according to the tissue density features; Obtaining basic physiological data, specific health indicators and dynamic physiological changes of the patient corresponding to the area to be transmitted; the basic physiological data at least includes one or more of the patient's age, gender, weight and body shape; the specific health indicators at least include one or more of blood pressure, heart rate, respiratory rate and blood oxygen saturation; the dynamic physiological changes at least include respiratory changes; The patient's physiological information is generated according to the basic physiological data, specific health indicators and dynamic physiological changes.

7. The method according to claim 6, characterized in that The obtaining of the suction flow rate and the suction frequency according to the density and the patient's physiological information comprises: Obtaining the probe cross-sectional area and suction pressure corresponding to the endotracheal ultrasound technique; generating a physiological regulation function and a maximum suction frequency according to the patient's physiological information; Obtaining a demand function; the demand function is used to characterize the demand relationship between density and flow; Obtaining the liquid viscosity and tissue elasticity corresponding to the target lesion tissue; The suction flow is calculated according to the probe cross-sectional area, suction pressure, physiological regulation function and demand function. The expression corresponding to the suction flow is: Wherein, Q is the suction flow rate, k1 is the first correction coefficient, P is the suction pressure, S is the probe cross-sectional area, τ is the liquid viscosity, and f(ρ) is the demand function; The suction frequency is calculated according to the maximum suction frequency, tissue elasticity and density, and the expression corresponding to the suction frequency is: Wherein, F is the suction frequency, k2 is the second correction coefficient, δ is the tissue elasticity, ρ is the density, R is the number of breaths of the patient, and F max is the maximum suction frequency.

8. The method according to claim 6, characterized in that The acquiring of tissue density features corresponding to the plurality of third ultrasound images comprises: spatially aligning the plurality of third ultrasound images to unify coordinate systems of the plurality of third ultrasound images; Extracting features from the aligned plurality of third ultrasound images to obtain multimodal data; The multimodal data is input into a pre-trained machine learning model to output tissue density features; the tissue density features include at least one or more of texture, echo intensity and pathological features; the tissue density features are input into a pre-trained density prediction model to output the density of the target lesion tissue.

9. The method according to claim 3, characterized in that: The step of controlling the conduction of the one-way valve assembly according to the conduction frequency comprises: Calculating the flow rate of the tissue fluid according to the suction flow rate and the suction frequency; Determine a target time interval according to the flow rate, the suction flow rate and the pipe length of the one-way valve assembly; the target time interval is used to determine the time interval between when the peristaltic pump starts suctioning and when the one-way valve assembly starts conducting; The one-way valve assembly is controlled to be conductive according to the target time interval and the conductive frequency.

10. A tumor biological sample transmission optimization device, characterized in that: A control module applied to the tumor biological sample transmission optimization system according to any one of claims 1 to 2, comprising: A tissue determination unit, configured to determine a tumor region in the area to be transmitted based on an endotracheal ultrasound technique, and to determine a target lesion tissue in the tumor region; An information acquisition unit, used to acquire the density of the target lesion tissue and the patient's physiological information corresponding to the area to be transmitted; A frequency acquisition unit, used for acquiring a suction flow rate and a suction frequency according to the density and the patient's physiological information; A suction completion unit, used for controlling the peristaltic pump to perform sample suction on the target lesion tissue according to the suction flow rate and suction frequency to obtain tissue fluid of the target lesion tissue when the puncture needle enters the target lesion tissue; wherein, during the sample suction process, the density of the target lesion tissue and the physiological information of the patient are updated to update the suction flow rate and suction frequency in real time; a curing completion unit, configured to generate a conduction frequency of the one-way valve assembly according to the suction frequency, and control the conduction of the one-way valve assembly according to the conduction frequency, so that the tissue fluid flows into the tank body when the one-way valve assembly is conducted, and the tissue fluid contacts and solidifies with the fixing liquid in the tank body; The transfer completion unit is used to complete the transfer of the tumor biological sample according to the solidified tissue fluid.

Images