31 results about "Pulmonary tumor" patented technology

The invention belongs to the field of lung medical data processing and radiotherapy, and discloses a respiratory feature extraction method for chest and abdomen body surface point cloud partitioning by considering a lung physiological structure. After the body surface point cloud image is differentiated, correlation coefficient calculation is carried out according to a lung lobe model reconstructed by a lung 4DCT image, a body surface area highly correlated with a lung lobe structure is selected to carry out motion information dimension reduction recombination, and finally body surface global features of breathing are represented in a three-dimensional vector form. Compared with the prior art, the method has the advantages that the influence of the lung physiological structure on the lung tumor movement mode is creatively considered, meanwhile, the advantages of being noninvasive and free of extra dosage are kept, a new thought can be provided for development of the radiotherapy image guide technology, and further research in the field of thoracic and abdominal activity tumor radiotherapy is facilitated.

The invention discloses a tumor experiment medicine preparation device, and relates to the technical field of biomedicine, the tumor experiment medicine preparation device comprises an inhaler used for preparing and feeding a dry powdery tumor medicine, the inhaler comprises a shell, a partition plate is fixed in the shell, and the interior of the shell is divided by the partition plate to form a preparation cavity and a treatment cavity; and the configuration cavity is located above the treatment cavity, a suction pipe is fixed to the shell, and one end of the suction pipe is fixedly installed on the bottom of the partition plate. Aiming at lung tumor experiments, quantitative anti-tumor medicine is directly delivered to the lung tumor part of the human body through the configuration effect of the inhaler, and in the using process of the inhaler, through mutual cooperation of the cutting release assembly, the anti-overflow communicating assembly and the air inlet control assembly, the anti-tumor medicine can be directly delivered to the lung tumor part of the human body. The cut tumor experiment medicine is fully separated, partial overflow is inhibited, deviation of the actual suction volume of the anti-tumor medicine is avoided, and accurate preparation and use of the tumor experiment medicine are guaranteed.

This invention provides a lung stem cell peptide for treating pulmonary nodules, its preparation method, and its application, belonging to the field of biopharmaceutical technology. The invention involves inducing iPSCs to differentiate into lung stem cells; culturing the lung stem cells, centrifuging, collecting the supernatant to obtain crude lung stem cell solution; mixing the crude lung stem cell solution with a protease for enzymatic hydrolysis, centrifuging, concentrating, and spray-drying to obtain the lung stem cell peptide for treating pulmonary nodules. This invention optimizes the composition of each culture medium to induce iPSCs to differentiate into lung stem cells, then extracts and separates lung stem cell peptides from these cells. The extracted lung stem cell peptides are intravenously reinfused into the lungs, effectively inhibiting the formation of pulmonary tumor nodules, significantly reducing the number of pulmonary tumor nodules, and without toxic side effects or adverse reactions.

The application relates to the technical field of medical devices, in particular to a lung tumor treatment device based on irreversible electroporation and cryoablation, which comprises a single needle for generating high-voltage electric pulses, an ice knife for conveying cold gas medium and a CT display module for displaying CT images in real time, comprises a puncture sleeve, the puncture sleeve is provided with a sliding groove, the single needle and the ice knife are in gap cooperation with the sliding groove; a needle head is detachably connected in the sliding groove, the puncture sleeve is communicated with a conveying pipe, and the puncture sleeve is provided with an outlet for discharging the cold gas medium at one end; the sliding groove is also communicated with a collection mechanism for collecting external tissues, and the collection mechanism is used for collecting the external tissues based on the pushing of the needle head, the single needle and the ice knife; the application is convenient for switching surgical tools, reduces the damage to the surrounding tissues in the body during the treatment of lung ground glass nodules, and guarantees the removal effect of the lung ground glass nodules.

The utility model discloses a lung tumor puncture positioner which comprises a support, first adjusting positioners are arranged at the two ends of the support respectively, and the first adjusting positioners drive the support to move in the first direction. The breathing suppressor is connected to the support through the first connector, and a third adjusting positioner is further arranged to adjust movement of the breathing suppressor; the support comprises a first support body, a second support body and a third support body, the second adjusting positioner adjusts the joint length of the first support body and the second support body and adjusts the joint length of the second support body and the third support body, the guide rod is connected with a protractor and a puncture needle fixing device, and the fourth adjusting positioner adjusts movement of the protractor. The fifth adjusting positioner adjusts the movement of the puncture needle fixer to limit the respiratory movement of the patient; and the needle inserting point and the needle inserting depth can be found clinically. The puncture accuracy is improved, the operation time of a puncture doctor is shortened, and radiation borne by a patient is reduced.

The application discloses a kind of based on soft driver's lung profile one-way deformation control structure of soft robot of simulation lung, the circumferential of central fixed seat is evenly distributed with pneu-net soft driver connected by connector;Between each connector and central fixed seat, one bellows driver is fixedly connected;Trachea is communicated with pneu-net soft driver and bellows driver;Control structure is shown by the radial telescopic characteristics of the radial deformation of lung and the boundary curvature of lung quality of lung by the bending characteristics of the lung of the bellows driver and the pneu-net soft driver respectively by applying air pressure to bellows driver.It is effectively simulated by the driving mode of the above control structure pneumatics when the profile of lung one-way deformation, by multiple different structure parameters this kind of soft driver constitutes complete soft robot of simulation lung, on the basis of being able to accurately control model deformation, be applied to the deformation prediction of lung deformation and accurately predict lung tumor movement space.

The application discloses a recombinant adenovirus vector tumor vaccine and a preparation method and application thereof, wherein the antigen coded by the recombinant adenovirus vector tumor vaccine comprises any one or a combination of more than two antigen peptide epitopes of KRAS protein. The recombinant adenovirus vector tumor vaccine of the application codes multiple KRAS tumor-specific antigen peptides, and has a good killing effect on KRAS mutation-driven tumors, especially lung tumors. The vaccine can be inhaled in a form of atomization, injected into muscles first and then inhaled in a form of atomization, inhaled in a form of atomization first and then injected into muscles, injected into muscles, or simultaneously injected into muscles and administered in a form of atomization. After atomization, the vaccine can be inhaled through a nasal cavity or an oral cavity to reach the lungs, generate an anti-tumor protective immune response on the respiratory tract, the lungs and the whole body, and enhance the utilization rate and the treatment effect of the vaccine.

The present invention discloses a method and system for identifying infiltrative images of lung tumors based on deep learning, which relates to the technical field of identifying infiltrative lung tumors and includes the following steps: obtaining medical images of lung tumors and simultaneously collecting well-annotated sample images; performing regional segmentation on the lung tumors based on the annotation results to obtain tumor regions; extracting edge features, morphological features, and density features of the tumor regions; performing deep learning on the identification of the infiltrative nature of lung tumors based on the edge features, morphological features, and density features of the sample images; The present invention is used to solve the problem that the existing techniques for identifying the infiltrative nature of lung tumors still rely too much on manual identification and the extracted tumor features lack specificity, resulting in inaccurate identification results for the infiltrative nature of lung tumors.

A tool to create virtual lesions inside a 3D lung tumor image. The image can be an MRI or CT image of a patient's lung to be treated. This virtual pre procedural ablation allows the operator to identify optimal ablation sites and select the optimal ablation parameters for the given anatomy. Also, the actual procedure will be performed with the lung parenchyma surrounding the tumor preventing ultrasound to penetrate beyond the tumor walls. A diagnostic mode will guide the operator to optimize ablation parameters. This virtual pre ablation, the parenchymal ultrasound barrier and the diagnostic catheter operation should enable the operator to conduct the therapeutic procedure safe, fast and effective.

The embodiment of the present application relates to the technical field of medical image processing, in particular to a lung tumor target area PET / CT, radiotherapy dose image extraction and processing method, the method comprises the following steps: extracting the tumor target area image from the whole lung CT image before radiotherapy; registering each pixel point in the tumor target area image with the pixel point in the radiotherapy dose image; registering each pixel point in the tumor target area image with the pixel point in the whole lung PET image before radiotherapy; and registering each pixel point in the tumor target area image with the pixel point in the whole lung CT image during radiotherapy. The method provided by the present application can extract the tumor target area from the whole lung CT image, and convert the CT image before radiotherapy, the CT image during radiotherapy, the PET image before radiotherapy and the radiotherapy dose image data taken by different devices to the same coordinate system, thereby providing image data basis for subsequent tumor radiotherapy reaction research.

The invention relates to a lung tumor evolution trajectory tracking and individualized treatment auxiliary optimization system and a medium, and solves the problems that diversified and individualized treatment requirements of patients cannot be met, and the treatment effect and patient prognosis are seriously influenced. At least one processor; the memory stores a computer program, and the at least one processor is configured to realize the lung tumor evolutionary trajectory tracking and individualized treatment auxiliary optimization system when executing the computer program, and the specific steps are as follows: identifying a key event from possible states output by the tumor evolutionary trajectory prediction model; marking time points and probabilities of the key events; and outputting a treatment optimization scheme. The method has the advantages that multi-source data are fused, the tumor development situation is accurately predicted, a personalized scheme is formulated, and the lung tumor diagnosis and treatment process is comprehensively optimized.

The invention relates to the technical field of medical image processing and three-dimensional visualization, and particularly discloses a medical image local organ / focus segmentation and visualization method based on a DFL-MedSAM2 deep learning model and VTK three-dimensional visualization. The method comprises the following steps: firstly, carrying out preprocessing on a medical image, wherein the preprocessing comprises format conversion and dimension selection; then, a DFL-MedSAM2 model is used for conducting accurate segmentation on a target organ or a focus, and a combined loss function (Dice Loss + Focal Loss with the weight ratio being 1: 20) is adopted for solving the problems of category imbalance and difficult classification of regions; fusing the segmentation result with the original image through a data matching and fusing module to generate local image data; and finally, performing three-dimensional reconstruction on the local image data by using a VTK three-dimensional visualization module, and highlighting detail features of the target area by using a ray casting method and a real-time cutting interaction technology. The method is suitable for segmentation and visualization of focuses such as lung tumors, liver tumors and skull tissues, and has important clinical application value.

The invention relates to the technical field of medical instruments, in particular to a lung tumor treatment device based on irreversible electroporation and cryoablation, which comprises a single needle used for generating high-voltage electric pulse, an ice knife used for conveying a cold air medium and a CT display module used for displaying a CT image in real time, and further comprises a puncture cannula, the single needle and the ice skate blade are in clearance fit with the sliding groove; a needle head is detachably connected in the sliding groove, a conveying pipe is communicated in the puncture cannula, and an output port for discharging a cold air medium is formed in one end of the puncture cannula; one side of the sliding groove further communicates with a collecting mechanism used for collecting external tissue, and the collecting mechanism is used for collecting the external tissue based on pushing of the needle head, the single needle and the ice skate blade. Operation tools can be conveniently switched, damage to peripheral tissues in the body in the process of treating the ground vitreous nodules is reduced, and the removing effect on the ground vitreous nodules is guaranteed.

The present invention belongs to the technical field of pharmaceutical preparations, and discloses a Fagopyrum dibotrys solution preparation for aerosol inhalation, its preparation method and application. The present invention provides a Fagopyrum dibotrys solution preparation for aerosol inhalation, including: the effective components of Fagopyrum dibotrys are obtained by extracting Fagopyrum dibotrys with an aqueous ethanol solution, subjecting it to alcohol precipitation, and then separating and purifying the obtained solution by resin adsorption. The present invention also provides a preparation method of the Fagopyrum dibotrys solution preparation for aerosol inhalation. The Fagopyrum dibotrys solution preparation for aerosol inhalation provided by the present invention is used in the application of drugs having the effects of enhancing the efficacy and reducing the toxicity in the radiotherapy and chemotherapy of lung tumors. This preparation is administered to patients by aerosol inhalation, directly delivering the drug to the lungs. It not only uses a small dose, has a quick onset of action, but also is safe, effective, has a high bioavailability, and has no other toxic side effects.

The invention provides a lung cancer therapeutic vaccine based on an AAV vector as well as a preparation method and application of the lung cancer therapeutic vaccine. The screened inhalation type AAV vaccine for coding the KRAS antigen and / or the EGFR antigen and / or the ALK antigen and / or the ROS1 antigen and suitable for inhalation administration is used for treating lung cancer, compared with an intramuscular injection immunization mode of the same preparation, triple immunization effects of humoral immunization, cellular immunization and mucosal immunization can be generated, and the killing effect on lung tumor cells is improved.

The application discloses a kind of pharmaceutical composition for treating lung tumor and its application.The pharmaceutical composition for treating lung tumor provided by the application includes nanoparticle capable of lung delivery CXCL10 mRNA and targeted gene modified immune effector cell;The targeted gene modified immune effector cell is CAR-T cell, CAR-NK cell, CAR-M cell or TCR-T cell.The application proves that the nanoparticle capable of lung delivery CXCL10 mRNA can enhance the lung tumor infiltration of targeted gene modified immune effector cell (such as CAR-T cell) and anti-tumor efficacy.The application not only provides a transformable scheme with clear mechanism support for lung tumor immunotherapy, but also provides an important technical reference and industrialization value for expanding the delivery of mRNA drugs in extrahepatic organs and multiple disease application scenarios.

The present invention provides a platycodon grandiflorum exosome and its application in the preparation of drugs for treating lung diseases. Through the method of the present invention, platycodon grandiflorum exosomes meeting the standards and having stable quality can be obtained. Moreover, these exosomes can be efficiently taken up by A549 cells and RAW264.7 cells in the lungs and have the biological activities of inhibiting the proliferation of lung tumor cells and anti-lung inflammation, demonstrating that platycodon grandiflorum exosomes can provide ideas for the research and development of new drugs in aspects such as drug targeting and anti-tumor in the clinical treatment of lung diseases.

The invention provides a CT embedded percutaneous puncture surgical robot which comprises a mainframe box, a system control box, two mechanical arms, a manipulator and an upper computer, the two mechanical arms extend out of the system control box, and supporting points at the far ends of the two mechanical arms are located in a scanning plane of a CT machine; the outer contour of the mainframe box is in a circular arc shape, and the mainframe box is arranged above the interior of a CT hole of a scanning frame of a CT machine through a supporting point at the far end of the mechanical arm. An arc-shaped sliding rail and a sliding block are arranged in the mainframe box; the manipulator comprises a puncture depth controller, a trocar holder, a trocar and a trocar driver; when in use, the trocar is located in a scanning plane of the CT machine. According to the system, early and early lung tumors can be accurately positioned, a doctor can puncture a tumor part with the puncture trocar to obtain a pathological sample while CT is carried out, and the credibility of a puncture biopsy result reaches 100%.

The invention relates to a lung-targeted drug-loaded micromotor as well as a preparation method and application thereof. The preparation method comprises the following steps: mixing mPEG (Polyethylene Glycol), N-t-Boc-glycine, DMAP (Dimethylaminopyridine), DCC (Dendritic Cellulose) and a solvent for reaction, and sequentially obtaining an intermediate product preparation process of mPEG-CH2CH2NH-Boc, CH3OPEG-NH2 and mPEG-NH2; performing mixed reaction on NHS, EDC and a sodium alginate solution in a buffer system to obtain a carboxyl activation process of an activated product; the mPEG-NH2 and the activated product are mixed and subjected to a reaction, and a precursor material of Alg-g-mPEG is obtained; a saturated alpha-CD aqueous solution of an FOF1-ATPase molecular motor is mixed with the Alg-g-mPEG aqueous solution, and the Alg-g-mPEG self-assembled micro-capsule with the FOF1-ATPase molecular motor coating is obtained in the carrier preparation process; mixing a drug with the self-assembled micro-capsule to obtain a lung-targeted drug-loading micro-motor; the invention further discloses application of the lung-targeted drug-loaded micromotor prepared according to the preparation method in preparation of a drug delivery system for treating lung adenocarcinoma. The double-site high-drug-loading-capacity hydrogel has the advantages of being high in double-site high drug loading capacity, high in biological safety, high in pH response self-driving capacity, good in lung tumor targeting capacity, good in lung retention capacity and the like.

This application relates to the field of medical image processing technology, and discloses a method, system, device, and medium for predicting tumor status, including: acquiring a set of CT images of the lungs of a target object during the current respiratory cycle; constructing a three-dimensional tumor model of the lung tumor based on the CT image set; the lung tumor has a real volume and real centroid coordinates; performing finite element analysis to obtain a finite element tumor model, calculating the simulated volume and simulated centroid coordinates of the lung tumor; comparing and obtaining the volume retention ratio and centroid offset; predicting the motion state of the lung tumor in the next respiratory cycle to obtain the initial motion state parameters of the lung tumor in the next respiratory cycle; if the motion state prediction quality of the lung tumor meets the preset motion state prediction quality based on the volume retention ratio and centroid offset, then the initial motion state parameters are used as the target motion state parameters to predict the motion state of the lung tumor, thereby improving the accuracy and correctness of radiotherapy.

The invention discloses a medical image recognition method and device for a lung tumor marker and a medium, and relates to the technical field of image recognition, and the method comprises the steps: obtaining a to-be-recognized marker based on blood detection; obtaining different markers of the marker to be identified; obtaining heterogeneous mark images; acquiring image recognition features by using a mark analysis method; optimizing the image recognition features, and performing image recognition on the lung tumor markers by using the optimized recognition features; the method is used for solving the problems that in an existing medical image recognition method for the lung tumor markers, a recognition model is relatively conventional, the types of the lung tumor markers cannot be accurately recognized due to the fact that the features of the lung tumor markers in the medical image are not obtained, consequently, much uncertainty exists in the recognition process, and the recognition accuracy is high. And the identification accuracy is low.

The invention belongs to the technical field of traditional Chinese medicines, and particularly relates to application of eight-treasure five-gallbladder medicinal ink in preparation of a product for inhibiting lung tumors. The invention provides the application of the eight-treasure five-gallbladder medicinal ink in preparation of products for inhibiting lung tumors, the application range of the eight-treasure five-gallbladder medicinal ink in tumors is widened, and a new scheme is provided for traditional Chinese medicine treatment of lung cancer.

The invention discloses a lung tumor CT image denoising method, system and device, and belongs to the field of medical information and intelligent medical treatment. The method comprises the following steps: acquiring and transmitting basic information and CT images of a lung tumor patient by deploying a decentralized image acquisition information transmission network; fusing the basic information of the patient and the lung tumor CT image; constructing a deep auto-encoder denoising network, introducing an encoding structure holder and a decoding structure holder, and designing a target loss function; performing deep auto-encoder denoising network training by using an optimization algorithm fusing a near-end mapping operator and a momentum acceleration mechanism, and outputting a clear denoised lung tumor CT image by using the trained deep auto-encoder denoising network; according to the method, the noise of the lung tumor CT image can be efficiently removed, the texture information of the image boundary is reserved, the denoising effect of the lung tumor CT image is remarkably improved, and the method is suitable for high-quality analysis of medical images and diagnosis decision of lung diseases.

The present invention relates anti-microbial antibody signatures related to lung tumors, including benign tumors and adenocarcinomas. Disclosed herein are antibody panels comprising antigens from bacteria and / or viruses for use in early and accurate diagnosis of lung cancer and for reducing false positive lung carcinoma diagnoses from CT screening.

The invention belongs to culture of tumor organoids, and particularly relates to a preparation method of tumor organoids, which comprises the following steps: digesting a lung tumor sample to obtain an epithelium starting material, performing three-dimensional culture on a basement membrane matrix to form primary organoids, and performing early cryopreservation in a main library; homologous organs are homogenized and subpackaged into test groups, and after adaptive culture is carried out under a combination of multiple culture media, chemotherapy pressure is applied, and elution recovery is carried out; a target culture medium combination for screening the drug-resistant subgroups is determined according to survival and regrowth and in combination with a normal sample removal result of morphology; according to the method, the proportion of tumor components is increased, the drug-resistant survival subgroups are enriched, and the preparation consistency and repeatability are improved.

The application belongs to the field of traditional Chinese medicines, and particularly discloses application of a leech dredging collaterals preparation in preparation of an anti-tumor medicine. The leech dredging collaterals preparation is prepared from four raw medicinal materials of astragalus, ligusticum wallichii, leech and salvia miltiorrhiza, and has the effects of tonifying qi and activating blood and dredging qi and collaterals. Pharmacodynamic studies show that the leech dredging collaterals preparation has the effects of inhibiting growth of liver tumors and lung tumors, is safe and has a good effect, expands the clinical application range of the leech dredging collaterals preparation, and has a good popularization and application prospect.

The invention provides a preparation method of an inhalable immune sensitization drug compound suitable for lung cancer immunotherapy and a drug compound prepared by using the method. The drug compound comprises a MoS2-statin nano platform and a liposome layer, wherein the MoS2-statin nano platform is formed by loading statins on MoS2 nanosheets, and the nano platform is coated with the liposome layer. According to the platform, the combination of MoS2 nanosheets and statins is precisely regulated and controlled, and further lipidosome wrapping is carried out, so that the particle size of nanoparticles is optimized to be 100 nm, the requirement of inhalable drug delivery is met, the drug can be efficiently deposited on lung tumor tissue, and the whole body exposure risk is reduced. Meanwhile, statins are used for inducing lung cancer cell ferroptosis and releasing tumor antigens to activate an immune system, good drug loading and biocompatibility of the MoS2 nanosheets are combined, the tumor immune microenvironment is cooperatively adjusted, the treatment effect of the immune checkpoint inhibitor is enhanced, the difficulty of immune drug resistance is broken through, and the application prospect is broad. And an innovative treatment means with strong targeting property, obvious curative effect and small side effect is provided for lung cancer patients.

The invention discloses a lung tumor ablation thermal field prediction method based on adaptive mesh generation. The lung tumor ablation thermal field prediction method comprises the following steps: S1, constructing a three-dimensional lung structure model according to three-dimensional medical imaging data; s2, calibrating a tumor focus range in the three-dimensional lung structure model, and generating an initial basic coarse grid; s3, obtaining an initial temperature distribution result; s4, obtaining a grid encryption demand distribution map; s5, performing local refining and global sparse processing on the initial basic coarse grid according to the grid encryption demand distribution diagram, and updating a local heat loss weight matrix in real time; s6, if the preset convergence criterion is not met, updating is carried out, and a next round of adaptive grid structure is generated until the preset convergence criterion is met; and S7, generating a lung tumor ablation thermal field evolution simulation report. According to the method, the generalization ability and the local heat conduction simulation accuracy of the model among different patients are remarkably improved, and higher prediction credibility is shown in patient groups with obvious perfusion intensity differences.

In one or more implementations, systems, methods and computer implemented processes are provided that are directed to a method of treating a subject with a lung tumor, the method comprising: obtaining computed tomography (CT) image slices of the subject, wherein the CT image slices comprise images of the lung tumor. In a further implementation, the systems, methods and computer implemented processes are directed to identifying a first CT image slice where the lung tumor has a largest diameter among the CT image slices; and determining intensity-skewness of the lung tumor on the first CT image slice. In a further implementation, the systems, methods and computer implemented processes are directed to treating the subject with surgery, chemotherapy and / or radiotherapy, if the intensity-skewness is no greater than-1.5.