38 results about "Lung tumor" patented technology

The invention relates to the technical field of medical image processing, in particular to a lung tumor CT image 3D segmentation method and system based on multi-modal image fusion. The method comprises the following steps: acquiring a lung tumor CT image; determining a first texture feature based on the lung tumor CT image; identifying a lung tumor boundary by using the first texture feature; detecting a nodule protrusion area in the boundary of the lung tumor; obtaining tissue infiltration data from the nodule protrusion area; determining a second texture feature according to the tissue infiltration data; determining a tumor heterogeneity feature according to the first texture feature and the second texture feature; evaluating the potential malignancy degree by utilizing tumor heterogeneity characteristics; and dividing a tumor risk area of the lung tumor CT image based on the potential malignancy degree. According to the invention, accurate heterogeneity identification and risk region division of the lung tumor CT image are realized based on a medical image processing technology, and the accuracy of lung tumor 3D segmentation is improved.

The present application provides a therapeutic combination of a quinoline derivative and an antibody, which comprises an immune checkpoint inhibitor and a tyrosine kinase inhibitor, wherein the tyrosine kinase inhibitor is a compound of formula I or a pharmaceutically acceptable salt thereof. The therapeutic combination in the present application shows good activity against lung tumor and liver tumor.

The invention discloses a double-end endoscope robot for lung tumor nodule minimally invasive surgery, and relates to the technical field of medical instruments. The system comprises a header pipe, a first endoscope robot and a second endoscope robot are arranged in the header pipe, the first endoscope robot is composed of a first semicircular flexible inner pipe, a first mechanical arm and a first surgical head connector, and the second endoscope robot is composed of a second semicircular flexible inner pipe, a second mechanical arm and a second surgical head connector. And the overall outer diameter of the second endoscope robot is the same as the inner diameter of the first semicircular flexible inner tube. According to the double-headed robot, the two semicircular flexible inner tubes are arranged, the semicircular flexible inner tubes on the double-headed robot can be converted into whole round tubes after separation, the whole round tubes are kept stable in respective bronchus, double headed operation can be conducted at the same time, physical conflicts cannot be generated, the needed space is small, the double-headed robot is suitable for lung minimally invasive surgery, and the surgery time can be greatly shortened.

Lung cancer remains the leading cause of cancer-related deaths in the world. Despite the fact that introduction of immune checkpoint inhibitors (ICIs) led to a major advancement in lung cancer treatment, disease prognosis continues to remain low and a significant proportion of patients do not respond to such therapies. Cancer vaccines could potentially provide a complementary approach to boost antitumor immunity and act synergistically with ICIs. Novel tumor antigens shared by a large proportion of lung tumor cells are described herein. Several of the tumor antigens described herein derive from aberrantly expressed unmutated genomic sequences, such as intronic and intergenic sequences, which are not expressed in normal tissues. Nucleic acids, compositions, cells and vaccines derived from these tumor antigens are described. The use of the tumor antigens, nucleic acids, compositions, cells and vaccines for the treatment of lung cancer is also described.

This invention belongs to the field of tumor immunotherapy and provides the application of Hdac3 gene knockout formulations or Ikkα gene knockout formulations in the preparation of drugs that inhibit tumor metastasis. The research results of this invention show that Hdac3 and Ikkα gene mutations significantly inhibit lung tumor metastasis and prolong the survival of mice, and this metastasis inhibition is independent of T, B, and NK cells. Simultaneously, this invention also discovers that Hdac3 and Ikkα mutations inhibit lung tumor metastasis by affecting the sensitivity of tumor cells to tumor necrosis factor, making tumor cells more susceptible to apoptosis, thereby providing a method for sustained in vivo killing of tumor cells. This invention also provides a mutant vector, which exhibits good anti-tumor metastasis effects.

The present disclosure relates to the determination of lung cancer using miRNA ratios. The present invention provides methods of determining the presence of a lung tumor in a subject. Also provided are methods of determining the presence of an invasive lung tumor in a subject. In addition, methods of determining the risk of developing a lung tumor in a subject are provided. Also provided are methods of determining the risk of developing an invasive lung tumor in a subject. Also provided are methods of predicting the risk of developing or having a lung tumor in a subject. Also provided are methods of establishing lung cancer treatment options.

This invention relates to the field of pharmaceutical technology, specifically proposing the application of ligustilide in the preparation of drugs for inhibiting and / or preventing and / or alleviating and / or treating lung tumors to address the current lack of natural drugs for lung cancer prevention. Lung tumors are nitrosamine-induced carcinogenesis of lung tissue. The invention relates to a pharmaceutical preparation for inhibiting and / or preventing and / or alleviating and / or treating lung tumors, comprising an active ingredient and pharmaceutically acceptable excipients; wherein the active ingredient is ligustilide. Ligustilide directly targets the STING protein, activates the cGAS-STING pathway, promotes STING phosphorylation and cell-mediated immune surveillance, while simultaneously regulating ROS homeostasis and the inflammatory microenvironment, reducing nitrosamine damage to lung epithelial cells, and preventing nitrosamine-induced lung carcinogenesis.

This utility model discloses a voice tremor nursing teaching model in the field of nursing teaching aids. It includes a three-dimensional humanoid model with a left lung model and a right lung model positioned at the chest area. The left lung model is covered with a silicone membrane, forming a pleural cavity model. A catheter is located at the top of the left lung model, with one end extending into the pleural cavity model. Air or liquid is injected into the pleural cavity through the catheter to simulate pneumothorax or pleural effusion. The right lung model includes a detachable and replaceable lung cavity model, lung tumor model, and bronchial obstruction model. A bronchial model is located between the left and right lung models, with a microphone connected to the top of the bronchial model. The two forked ends of the bronchial model at the bottom are connected to the left and right lung models, respectively. This device can replace different models to simulate pathological states, allowing students to intuitively experience the differences in voice tremor under different pathological conditions, improving teaching effectiveness and students' clinical skills training level.

The invention belongs to the technical field of traditional Chinese medicine, and particularly relates to medicinal ink for accelerating lung tumor cell apoptosis and a preparation method and application thereof. Different raw materials are subjected to esterification modification, fermentation or enzymolysis, so that the fat solubility and cell membrane permeability of the composition are promoted, active ingredients can penetrate through a qi and blood barrier more easily to enter lung tissues, the action time is prolonged, the targeting property of the composition is improved, and the conversion of chemical components of traditional Chinese medicines is promoted; a new substance with higher anti-cancer activity is generated or obtained; the bioavailability of each raw material is improved, and a specific enzymolysis product is generated, so that the apoptosis of tumor cells is accelerated. Therefore, different raw materials are specifically prepared, release of active functions of the raw materials is guaranteed from multiple dimensions, and lung tumor cell apoptosis is remarkably accelerated.

The present invention relates to the therapeutic combinations comprising (a) the PARP-1 selective non-trapper inhibitor Compound 1 and (b) an alkylating agent or (c) a topoisomerase inhibitor and the use of said combinations in the treatment of cancer, in particular lung tumors or ovarian and gastric tumors.

The invention discloses an image processing method and device for lung tumor recognition. The method comprises the steps that to-be-recognized lung image information is acquired; preprocessing the to-be-identified lung image information to obtain initial image information; and performing identification processing on the initial image information by using the image identification model to obtain target image identification result information. Therefore, the lung image recognition precision and efficiency can be improved.

The invention relates to the technical field of image segmentation, in particular to a lung tumor CT image automatic segmentation method based on deep learning. The method comprises the following steps: firstly, acquiring three-dimensional CT images of different breathing time phases and a tumor area in the first image; then acquiring a rigid transformation model of lung movement; marking points are determined in a preset range of the tumor area, marking points in each non-first image and deformation vectors of the marking points are determined, stable marking points are screened out, deformation vectors of the unstable marking points are corrected, and then each three-dimensional CT image and correction positions of the marking points in the three-dimensional CT image are input into a trained segmentation model to obtain a segmentation model; and obtaining a lung tumor segmentation result. According to the method, the respiratory movement of the lung tissue is decomposed and analyzed, the movement changes of the mark points in the tumor area in different respiratory time phases are accurately evaluated, then automatic segmentation is carried out based on the segmentation model of deep learning, and the lung tumor CT image segmentation effect based on deep learning is improved.

The present invention relates to the technical field of medicaments for inhibiting lung cancer, and provides an siRNA construct for the targeted silencing of the EFNA2 gene, and an application thereof in the preparation of a drug for inhibiting lung adenocarcinoma cell growth. The present invention comprises four siRNAs for silencing the EFNA2 gene, and the application thereof in the preparation of the drug for inhibiting lung adenocarcinoma cell growth. Specifically, a lipid material is used as a vector for delivering the EFNA2-silencing siRNAs. Among the four siRNA sequences designed for silencing EFNA2, the siRNA-856 sequence exhibits a better silencing effect than siRNA-495, siRNA-547, and siRNA-725, resulting in an apoptosis rate of 28.6% in lung tumor cells. A lipid vector composed of peptide lipids CDO and DOPE efficiently delivers the four EFNA2-siRNA sequences, without cytotoxicity.

The invention relates to the technical field of medical clinic, in particular to a deep learning-based lung tumor ablation intelligent evaluation regulation and control method and a deep learning-based lung tumor ablation intelligent evaluation regulation and control system. The method comprises the following steps that a tumor area in a preoperative CT image and an ablation area in an intraoperative CT image are obtained, and a tumor mask and an ablation mask are generated respectively after the preoperative CT image and the intraoperative CT image are subjected to spatial registration; the coverage ratio of the volume of the ablation mask to the volume of the tumor mask is calculated, and the mass center offset distance of the tumor mask and the ablation mask is calculated; dividing the centroid offset distance by the coverage ratio to obtain an offset index; and identifying each risk structure in the ablation mask boundary expansion region, and measuring the nearest distance from each risk structure to the ablation mask boundary. According to the method, a quantitative mechanism between dynamic geometric behaviors and anatomical risks in the ablation process is constructed, an intelligent model capable of predicting complication risks is formed based on the quantitative mechanism, and the accuracy of microwave ablation is improved.

A traditional Chinese medicine composition for treatment of lung tumor, a preparation method therefor, and a use thereof are provided. The traditional Chinese medicine composition includes the following raw materials by weight: 5-15 parts of Dendranthema morifolium, 2-12 parts of Lonicera japonica, 5-15 parts of Mentha haplocalyx, 5-15 parts of Wolfiporia cocos, 10-20 parts of Atractylodes lancea, 0.5-3 parts of Cinnamomum cassia, 0.5-3 parts of Syzygium aromaticum, 3-12 parts of Astragalus membranaceus, 5-15 parts of Ganoderma lucidum, 10-20 parts of Ligusticum chuanxiong, 5-12 parts of Aucklandia radix, and 2-10 parts of Glycyrrhiza uralensis.

The invention provides a lung tumor early warning protein chip and application thereof. The protein chip comprises an antigen group, the antigen group comprises an antigen; the antibody corresponding to the antigen is p53, NY-ESO-1, CAGE, GBU4-5, SOX2, HuD, MAGE A4, SARS, ZPR1, FAM131A, GGA3, PRKCZ, HDAC1, GOLPH3, NSG1, CD84, EEA1, CEA, CYFRA211 and the like; the protein chip is used for early warning and evaluation of lung tumors, and the early warning and evaluation comprises the following steps: collecting serum of a to-be-detected crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-detected crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by a high-throughput technology, and is used for risk early warning detection of lung tumors.

This invention relates to an antitumor agent based on respiratory tract symbiotic bacteria, its preparation method, and its application. Addressing the current clinical issue of the unclear role of respiratory flora in lung cancer patients' progression, we provide the first evidence that the respiratory tract symbiotic *Streptococcus osticulata* possesses antitumor activity. When *Streptococcus osticulata* is delivered back into the respiratory tract, it can stimulate an antitumor immune response, and its efficacy can be further enhanced by adenosylcobalamin. Currently, there is a lack of non-invasive, non-invasive inhaled treatments for lung cancer. The antitumor agent of this invention can be combined with novel non-invasive inhaled bacterial-metabolite immunotherapy to achieve a long-term chronic disease management model, representing a safe and transferable treatment approach. In addition to achieving effective lung tumor control when used alone, this therapy can synergistically enhance the efficacy of immunotherapy, inducing complete tumor regression in 50% of tumor-bearing mice.

The application discloses a lung CT image synthesis method with a tumor target area, a device and a storage medium. A first CT image block containing a complete tumor target area is extracted from a first lung CT image containing a tumor target area and a first target area sketching mask. A first neural network model is subjected to self-supervised reconstruction training using the first CT image block to obtain a synthesis model. A standard normal distribution is sampled, and the sampling result is used as the input of the synthesis model. The synthesis model is subjected to multiple rounds of sampling to obtain multiple synthesized second CT image blocks. The obtained second CT image blocks are merged to obtain a third CT image block and a second target area sketching mask. The third CT image block is placed in a lung organ region of a second lung CT image without a tumor target area to obtain a lung CT image with a tumor target area. The application realizes the expansion of positive class samples of a lung CT image dataset without data acquisition cost, and effectively solves the problem of imbalance between positive and negative class samples in the training of a deep learning lung tumor target area automatic sketching model.

This invention provides a Kampo (traditional Japanese herbal medicine) composition for treating lung tumors, a method for producing the same, and a method for using the same. [Solution] This is a Kampo medicine composition for treating lung tumors, characterized by being manufactured using the following raw materials: 5% to 15% by weight of Chrysanthemum, 2% to 12% by weight of Honeysuckle, 5% to 15% by weight of Peppermint, 5% to 15% by weight of Poria, 10% to 20% by weight of Atractylodes Rhizome, 0.5% to 3% by weight of Cinnamon, 0.5% to 3% by weight of Lumpsucker's Tears, 3% to 12% by weight of Astragalus, 5% to 15% by weight of Reishi mushroom, 10% to 20% by weight of Ligusticum chuanxiong, 5% to 12% by weight of Saussurea rhizome, and 2% to 10% of Licorice. Adopting the above technical solution has the advantage of significantly preventing tumor growth.

An instrument (14) is suitable for treatment of lung tumors and other tissues and a respective apparatus (15) detects the correct positioning of instrument (14) and its two electrodes (19, 20) in a suitable target tissue by observation of two parameters (G1, G2) and particularly their time-dependent change. If the change (V1, V2) of the two parameters (G1, G2) exceeds defined thresholds (S1, S2) respectively, a contact between the instrument and the tissue to be treated and thus also the positioning of the instrument in a desired position can be derived therefrom. This remarkably increases treatment safety.

The invention provides an inhalable T cell activation nano platform suitable for lung cancer immunotherapy and a preparation method and application thereof. The nano-platform comprises a MoS2-statin nano-platform formed by loading IL-2 and anti-PD-1 protein on a MoS2 nano-sheet, and the platform realizes the treatment effect through the following modes: by accurately controlling the particle size of nano-particles, the nano-particles can be efficiently deposited in a lung tumor area, the local drug concentration is remarkably improved, the whole body exposure is reduced, and the side effect of intravenous administration is avoided; the proliferation and immune response of CD8 + T cells are enhanced through the synergistic effect of IL-2, the drug resistance of PD-1 is reduced, and the treatment effect of the immune checkpoint inhibitor is improved in combination with the immunomodulatory function of MoS2; copper death of immunosuppressive Treg cells is induced through the MoS2 nano platform, the immunosuppressive cells in a tumor microenvironment are removed, the immune drug resistance bottleneck in immunotherapy is broken through, and an innovative treatment means with high targeting, remarkable curative effect and small side effect is provided for lung cancer patients.

This invention discloses a method, system, and storage medium for real-time estimation of lung tumor location and morphology, comprising: S1: acquiring preoperative end-expiratory and end-inspiratory CT images of the lungs, segmenting and reconstructing the skin and tumor surfaces respectively; S2: registering the end-expiratory skin and tumor surfaces to the end-inspiratory skin and tumor surfaces to obtain the full-process displacement vector fields of the skin and tumor surfaces; S3: during surgery, registering the end-expiratory skin surface to the real-time skin surface obtained by an optical imaging device to obtain the real-time displacement vector field of the skin surface; S4: using the full-process displacement vector fields of the skin and tumor surfaces and the real-time displacement vector field of the skin surface, calculating the real-time displacement vector field of the tumor surface using the inverse distance weighted interpolation method, and applying it to the end-expiratory tumor surface to obtain the real-time tumor location and morphology. This invention reduces the preoperative imaging radiation dose and the complexity of tumor tracking, contributing to precise lung radiotherapy.

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.

The invention relates to the technical field of medical information monitoring, in particular to a lung tumor motion trail tracking system in radiotherapy, which comprises a body surface information acquisition unit, an in-vivo information acquisition unit and a dynamic space-time fusion network, and is characterized in that the body surface information acquisition unit is used for acquiring body surface time sequence information of a patient and body surface space motion information of the patient; the in-vivo information acquisition unit is used for acquiring tumor motion information in the body of a patient, and the dynamic space-time fusion network model is used for fusing a body surface time sequence and body surface space motion information of the patient and establishing a mapping relation between the fused information and the tumor motion information in the body of the patient to form a tumor trajectory tracking model; the motion information acquisition module is used for acquiring tumor motion information in the body of the patient according to the body surface time sequence information and the body surface space motion information of the patient which are acquired in real time. The method has the beneficial effects that through accurate dynamic tracking and dose-level real-time feedback, the dose coverage of a tumor target region can be maximized, and meanwhile, the damage to surrounding normal tissues is minimized.

A system for ablative treatment of a targeted lung tissue including: an ablation energy source; a source of conductive hypertonic saline solution; a catheter configured to position a distal portion of the catheter within an airway passage in a lung; an ablation element coupled to the distal portion configured deliver energy into the airway passage; an irrigation port on the distal portion configured to dispense the hypertonic saline solution into the airway passage of the lung, and a controller that controls delivery of energy from the ablation element into the airway passage to ablate lung tissue in the target area and infusion of the conductive hypertonic saline solution through the irrigation port into the airway passage during the delivery of the energy.

The application discloses a traditional Chinese medicine composition for dispelling phlegm and dampness, scattering pulmonary nodules and reducing abnormal lung tumor marker level, which is composed of the following medicinal materials: 30-50 parts by weight of Herba Eupatrorii, 10-30 parts by weight of Herba Hedyotis Diffusae, 6-12 parts by weight of wild chrysanthemum, 6-12 parts by weight of Herba Taraxaci, 20-50 parts by weight of Radix Rehmanniae, 10-30 parts by weight of Lagenaria siceraria, 3-6 parts by weight of Radix Notoginseng, 6-12 parts by weight of Bamboo Shrub, 10-15 parts by weight of Poria cocos, 6-10 parts by weight of Pericarpium Citri Reticulatae, 6-12 parts by weight of Fructus Aurantii, 6-12 parts by weight of Acorus gramineus, 6-10 parts by weight of Radix Curcumae, 6-10 parts by weight of Ganoderma lucidum, 6-12 parts by weight of Huperzia serrata, 6-12 parts by weight of Rhizoma Pinelliae, 15-30 parts by weight of Prunella vulgaris, 6-10 parts by weight of honey Kudou, 6-12 parts by weight of Bletilla striata, 6-10 parts by weight of Ramulus Cinnamomi, 1-2 pieces of Solenocera crassicornis, 10-15 parts by weight of vinegar Biejia, 6-9 parts by weight of fried Gongcao, 15-30 parts by weight of calcined sea sponges. The application further provides application of the traditional Chinese medicine composition in preparation of a medicine for treating pulmonary nodules caused by phlegm and dampness and / or abnormal increase of serum lung tumor markers.

This invention discloses an auxiliary examination tool for lung cancer based on the morphological analysis of fibrous structures in biological tissues. It utilizes multiphoton microscopy to analyze the morphological characteristics of fibrous structures in the extracellular matrix, establishing an auxiliary examination model for lung cancer. The model performs multivariate parameter quantitative characterization of elastic and collagen fiber images, and then comprehensively characterizes the similarity of the two types of fibers across multiple morphological features, generating a normalized similarity index atlas. This invention can rapidly extract the distribution information of elastic and collagen fibers in the extracellular matrix of lung tissue. By assessing the difference in the morphological similarity of these two fibrous structures between normal individuals and lung cancer patients, it determines the level of lung tumor evolution, presenting a novel examination method. This method has significant clinical translational potential, enabling more accurate analysis of the morphological characteristics of fibrous structures in biological tissues, and has greater application potential compared to traditional methods.

The invention discloses a tumor target region lung CT image synthesis method and device and a storage medium. The method comprises the steps that a first CT image block containing a complete tumor target region is extracted from a first lung CT image containing the tumor target region and a first target region sketching mask; performing self-supervised reconstruction training on the first neural network model by adopting the first CT image block to obtain a synthetic model; sampling the standard normal distribution, taking the sampling result as the input of a synthetic model, and performing multiple rounds of sampling on the synthetic model to obtain a plurality of synthetic second CT image blocks; combining the obtained second CT image blocks to obtain a third CT image block and a second target area sketching mask; and placing the third CT image block in a lung organ region in the second lung CT image without the tumor target region to obtain a lung CT image with the tumor target region. According to the method, amplification of the positive samples of the lung CT image data set without data acquisition cost is realized, and the problem of imbalance of the positive samples and the negative samples in deep learning lung tumor target region automatic sketching model training is effectively solved.

The invention relates to an anti-tumor preparation based on respiratory tract symbiotic bacteria as well as a preparation method and application thereof, and provides evidence for the first time aiming at the problem that the respiratory tract flora of a lung cancer patient is not exact in lung cancer progression clinically at present, and the evidence shows that the respiratory tract symbiotic bacteria oral streptococcus has an anti-tumor effect; when the oral streptococcus is delivered back to the respiratory tract, the anti-tumor immune response can be stimulated, and the curative effect of the oral streptococcus can be further enhanced through cobamamide. At present, a non-invasive and non-invasive inhalation type treatment mode for treating lung cancer is lacked clinically, and the anti-tumor preparation can be combined with a novel non-invasive inhalation type bacterium-metabolite immunotherapy to realize a long-term chronic disease management mode, and is a safe and convertible treatment means. On the basis that effective lung tumor control can be realized through independent use, the therapy can synergistically enhance the curative effect of immunotherapy, and tumors are induced to completely subside on 50% of tumor-bearing mice.

The invention provides application of sodium acetoacetate and / or pharmaceutically acceptable salt thereof in preparation of drugs for preventing and treating tumor pulmonary metastasis and improving inflammatory microenvironment, and belongs to the technical field of biological medicine. The invention provides an application of sodium acetoacetate and / or pharmaceutically acceptable salts thereof in preparation of drugs for preventing and / or treating tumor pulmonary metastasis. The embodiment of the invention shows that sodium acetoacetate can effectively inhibit tumor lung metastasis, improve the tumor inflammatory microenvironment and reduce infiltration of tumor-related macrophages in the lung tumor microenvironment. The invention provides a feasible path for improving the inflammatory microenvironment and expanding the prevention and treatment of tumor pulmonary metastasis, and has important significance and application value for improving the clinical treatment level of advanced solid tumors.