29 results about "Lung lesion" patented technology

The present application relates to the technical field of biological medicine, and discloses inhalable aptamer modified molybdenum disulfide nanoflower compound and application thereof.The compound comprises a molybdenum disulfide nanoflower core, a dendritic polylysine modification layer attached to the surface of the molybdenum disulfide nanoflower, doxorubicin loaded on the molybdenum disulfide nanoflower and / or the dendritic polylysine modification layer, and AS1411 aptamer combined on the outer surface of the dendritic polylysine modification layer by electrostatic assembly.The compound can be delivered to a lung lesion by atomization inhalation or aerosol inhalation, and undergoes responsive structural change under the action of hydrogen peroxide in a tumor microenvironment, generates active oxygen, and promotes the release of doxorubicin, so as to realize the synergistic antitumor effect of chemotherapy and chemical dynamic therapy.The compound has good colloidal stability, drug loading capacity, active targeting ability and lung local delivery potential, and can be used for preparing inhalation preparations or local administration preparations for treating lung cancer.

The invention provides a novel vaccine adjuvant and application of the novel vaccine adjuvant in preparation of the vaccine adjuvant. The BCG-PSN and vaccine induced RBD specific IgG antibody and neutralizing antibody level are equivalent to those of an aluminum adjuvant, the BCG-PSN and vaccine induce Th1 biased T cell reaction, the induced T cell response level is obviously higher than that of the aluminum adjuvant, and K18-hACE2 mice are protected from being affected by Delta variant induced lung lesions. As a vaccine adjuvant, BCG-PSN has wide compatibility and safety, and has no toxic or side effect.

The application provides a deep granular unsupervised learning method for long-tailed distribution lung cancer subtype identification, comprising the following steps: S10, preprocessing lung lesion image data set, and generating two different enhanced views for each sample to obtain two sample image data sets; S20, using a pre-trained deep neural network to extract and normalize features of the two sample images to obtain sample feature vectors; S30, training using deep granular unsupervised learning, and unsupervised optimizing features based on the granular structure to improve feature separability under long-tailed distribution; and S40, obtaining final clustering results using the Kmeans method after training. The scheme is suitable for long-tailed distribution situations with significant differences in the number of samples of each subtype in the lung cancer subtype identification task, can improve the deep clustering effect for long-tailed distribution data, and provides reliable classification basis for the auxiliary diagnosis of lung cancer subtype identification.

The present invention relates to a guide sheath for peripheral bronchial lesion treatment, comprising a side tube for saline infusion, and injects physiological saline, which has been injected for peripheral bronchial dilation and access, through the side tube so that the physiological saline can efficiently reach a peripheral lung lesion as the physiological saline is injected through the side tube without insertion and removal of the guide sheath as in a conventional procedure, such that the precision and efficiency of a bronchoscopy procedure for diagnosing the peripheral lung lesion can be improved. In a conventional procedure, cold physiological saline or epinephrine for hemostasis could be administered after removal of the guide sheath and biopsy forceps, but the side tube of the guide sheath can administer a solution that assists hemostasis immediately after biopsy such that reduced side effects after the procedure and improved safety for the patient can be expected.

The invention discloses a lung rehabilitation respiratory training device combining traditional Chinese medicine and western medicine, relates to the technical field of rehabilitation training equipment, and aims to solve the problems of insufficient collaboration, deficiency of individualization and low system integration degree in the prior art. The device comprises a seat, a pedaling piece, a pushing and lifting rod and a breathing assembly, the breathing assembly comprises a traditional Chinese medicine box arranged on a seat backrest through a connecting rod, a breathing mask is arranged above the traditional Chinese medicine box, and a breathing mouth piece is arranged on the inner side of the breathing mask; the sealing connecting pipe is arranged between the traditional Chinese medicine box and the breathing mask; the respiratory capacity display tube is connected to the sealing connecting tube and connected with the traditional Chinese medicine box through a linkage assembly. According to the device, through a mechanical linkage structure, the inspiration action and the medicine mist release of a patient are accurately synchronized in time, it is ensured that quantitative traditional Chinese medicine mist is released at the moment that the inspiration force of the patient is maximum and the lung is expanded most sufficiently, medicine can directly reach the focus of the lung along with deep inspiration airflow, and the synergistic effect that most effective treatment is conducted at the best time is achieved.

The utility model relates to a medical auxiliary instrument. The utility model aims to provide a 3D printing type lung model for doctor-patient communication. The 3D printing type lung model comprises a lung model main body formed through 3D printing according to lung data of a patient; the lung model main body comprises a hollow lung lobe body formed by splicing two mold flaps, a trachea body formed on the lung lobe body in a heterochromatic 3D printing manner, and a focus body formed on the lung lobe body and / or the trachea body in a heterochromatic 3D printing manner; the lung lobe body is further provided with at least one hollow observation opening used for observing a focus body. According to the utility model, actual lung data 3D printing forming of a patient is adopted, the lung focus space structure of the patient can be fully and visually displayed, and accurate communication between a doctor and the patient is facilitated; 3D printing is conducted on the lung lobe body, the trachea body and the focus body through different colors, and the whole lung and the structure of the lung of the patient can be displayed in a layered mode more clearly.

The application discloses a lung three-dimensional reconstruction method and device, a terminal equipment and a readable storage medium. The method comprises the following steps: acquiring N two-dimensional images of a lung; generating a tubular organ overall point cloud based on the N two-dimensional images by using a first generator; generating an artery point cloud, a vein point cloud and a trachea point cloud based on the N two-dimensional images by using a second generator; generating a lung segment point cloud based on the N two-dimensional images by using a third generator; and three-dimensionally reconstructing the lung by using the tubular organ overall point cloud, the artery point cloud, the vein point cloud, the trachea point cloud and the lung segment point cloud. The application can quickly provide a three-dimensional image of the lung as a diagnosis basis for inexperienced doctors, effectively avoids the influence of the lung lesion diagnosis process on the doctors' subjectivity, improves the lung lesion diagnosis efficiency and the accuracy of the lung lesion diagnosis.

The invention belongs to the technical field of biology, and particularly relates to application of an Mgst2 gene serving as a target to preparation of a product for treating rheumatoid arthritis related interstitial lung diseases. According to the invention, it is found for the first time that Mgst2 can be used as a biomarker for treatment of rheumatoid arthritis related interstitial lung diseases, targeted knock-down is carried out on Mgst2 in neutrophils through an AAV9-shRNA vector (AAV9-shRNA-Mgst2) driven by a Cd11b promoter, and lung lesion progress can be effectively relieved by inhibiting NET formation. The Mgst2 inhibitor provided by the invention can directly intervene in the occurrence and development process of diseases from a molecular level, and has the advantages of accurate effect, remarkable curative effect, low side effect and the like. Compared with a traditional non-specific treatment mode, the product takes effect only aiming at specific molecular targets, damage to normal cells and tissues is remarkably reduced, and therefore the risk of toxic and side effects is reduced.

The application discloses an aerosol inhalation type LNP composition for treating lung diseases and a preparation method and application thereof. The composition comprises an aerosol stabilizer and a surface coupled Anti-CD3 antibody lipid nanoparticle, and the surface coupled Anti-CD3 antibody lipid nanoparticle internally loads a CAR-mRNA targeting FAP. The application improves the efficiency of LNP targeted binding to T cells by coupling CD3 antibodies to LNP, and the LNP can significantly improve the in-vivo reprogramming efficiency of mouse T cells by coupling CD3 antibodies. The application administers the antibody coupled LNP by aerosol inhalation, and compared with common intravenous injection, the lung lesion accumulation of the LNP is improved, so that the treatment effect of pulmonary fibrosis is effectively improved.

Providing sensory output indicating lung thickening due to congestion, infection, inflammation, and / or fibrosis in a subject are described. Sensor output signals are processed to detect areas of lung thickening and a sensory output device is controlled to generate and / or modulate sensory output for spatially localized areas of lung thickening. In some embodiments, the system uses two-dimensional video images from an ultrasound machine and generates an audio signal such as a “click” each time a B-line, the visual representation of lung edema or fibrosis, is detected on the image. During real-time ultrasound imaging of a patient's lung, the patient may hear multiple clicks with varying intensity and frequency depending on proximity to areas of lung thickening. This facilitates examination of the lung using diagnostic ultrasound with feedback that is heard rather than seen, with louder and more frequent clicks representing areas of more diseased lung.

The present invention relates to a method of identifying a pre-invasive lung lesion in an individual that will progress to an invasive lung cancer involving determining the presence or absence of a molecular signature.The present invention also relates to a method of treating a pre-invasive lung lesion and / or treating and / or preventing an invasive lung cancer in an induvial comprising involving determining the presence or absence of a molecular signature.The present invention further relates to a molecular signature, and uses thereof, for identifying whether or not an individual has a pre-invasive lung lesion that will progress to an invasive lung cancer.

The application provides a lung CT image correlation analysis method, comprising: acquiring lung multi-modal images, including computer tomography images and positron emission tomography images, and performing denoising, enhancement and standardization pretreatment on the original images according to the imaging principles and image characteristics of different modalities; extracting a lung lesion region of interest from the registered multi-modal images, delineating and segmenting the lesion, and quantitatively analyzing the volume and shape geometric morphological characteristics of the lesion; based on the therapeutic effect, analyzing the correlation between the imaging features and the prognosis of the patient, estimating the recurrence and metastasis risk and survival period under different feature performances, combining the imaging features and the clinical indicators, constructing a therapeutic effect prediction model, and performing long-term individualized evaluation on the prognosis of the patient.

The invention relates to a nutritional formula food as well as a preparation method and application thereof, and the food composition comprises the following raw material components in parts by weight: 1.0-5.0 parts of a protein component; 1.0 to 3.0 parts of a fat component; 1.0 to 3.0 parts of a carbohydrate component; 0.05 to 0.1 part of a compound vitamin group; 0.1 to 0.3 part of a composite mineral substance component; 0.01 to 0.07 part of an oil phase emulsifier component; 0.1 to 0.3 part of a water phase stabilizer / thickener component; 0.01 to 0.07 part of a functional nutrient component; 0.005 to 0.15 part of a flavoring agent group; 80 to 100 parts of purified water (carrier); according to the formula, macro nutrients and functional components are scientifically proportioned, so that the special nutritional requirements of patients suffering from lung injury after chronic obstructive pulmonary disease (COPD) and cystic fibrosis related lung lesion infection are met in a targeted manner.

The application discloses a honeycomb lung lesion segmentation method combining U-shaped convolution and PPCT, and belongs to the technical field of medical image segmentation. The method provided by the application obtains a honeycomb lung lesion segmentation result by using a CUPTNet, and the encoding-decoding structure of the CUPTNet network is optimized by using GCT and ConvMixer, so that the ability of the model to extract global context in the encoding stage is improved, the correlation between modeling feature channels is improved, and these information is efficiently mixed. In addition, a pyramid pooling channel Transformer module is used to improve a simple skip connection, and the module can effectively utilize semantic information in multi-scale channel features, so as to provide sufficient useful information for decoding work. Compared with the prior art, the method provided by the application has better honeycomb lung lesion segmentation effect.

The application discloses a lung image processing method, device and equipment and a readable storage medium. The method comprises the following steps: acquiring a lung image; inputting the lung image into a texture enhancement network to segment the lung image and obtain a segmented image feature with enhanced texture, wherein the texture enhancement network comprises a fine-grained texture enhancement unit. According to the application, the lung image can be subjected to fine-grained texture enhancement based on the texture enhancement network, so that the segmented image feature with enhanced texture is obtained, which is beneficial to subsequent identification of the segmented image feature, and the identification accuracy of lung lesions is improved.

The application provides a lung lesion prediction method based on multi-modal data and a storage medium thereof. The chest CXR image of a patient and the clinical physiological data of the patient are obtained. The chest CXR image and the clinical physiological data are input into a multi-modal model. The lung lesion prediction of the chest CXR image is performed based on the clinical physiological data by the multi-modal model. The prediction result of the lesion in the chest CXR image is obtained. The prediction result includes a lesion area and an influence degree of the lesion on the patient. The influence degree includes mild and severe. Furthermore, under the condition of the fusion of the multi-scale spatial features and the structured clinical physiological data of the chest CXR image, the limitation of a single image mode is broken. When the lesion image performance is atypical or fuzzy, the clinical information can be effectively supplemented and cross-verified, so that the accuracy and robustness of lesion identification and classification are greatly improved.

The invention discloses a sound field driven microsphere lung targeted drug delivery device, and belongs to the technical field of lung targeted drug delivery. The system comprises a sound field generation module, a microsphere storage drug delivery module, a targeted regulation and control module and a temperature control protection module, the sound field generation module can output graded sound fields with adjustable gradients, segmented driving of medicine microspheres from an airway inlet to a lesion area is achieved, and microsphere deposition deviation caused by a single sound field is avoided. Drug microspheres of which the surfaces are modified with lung targeting ligands and mucus penetrating units are loaded in the microsphere storage and administration module, and precise anchoring is realized by matching with sound field driving; the targeted regulation and control module is used for dynamically regulating the frequency, intensity and action time of a sound field by collecting a lung lesion position signal in real time so as to realize accurate administration of a lesion area; the device is reasonable in structure, high in targeting precision, capable of effectively breaking through the lung mucus barrier, improving the deposition rate of the medicine in a lesion area and reducing the toxic and side effects of the whole body, and suitable for precise treatment of various lung diseases.

The invention relates to the technical field of biological medicines, in particular to a mycoplasma hyopneumoniae extracellular vesicle, a vaccine and a preparation method and application of the mycoplasma hyopneumoniae extracellular vesicle. The diameter of the mycoplasma hyopneumoniae extracellular vesicles ranges from 120 nm to 220 nm, and the mycoplasma hyopneumoniae extracellular vesicles are extracted from a mycoplasma hyopneumoniae culture. The mycoplasma hyopneumoniae extracellular vesicle provided by the invention is used for preventing mycoplasma hyopneumoniae infection after being used as a vaccine for immunization, reducing the lung lesion index and reducing the tissue pathogen load; the pig body can be induced to generate specific IgG antibodies, sIgA antibodies, IFN-gamma and IL-17 cell factors, and peripheral blood and lung mononuclear cell proliferation can be stimulated.

The present disclosure relates to the technical field of medical images, and discloses a lung lesion identification method and device and an electronic device. The method comprises: acquiring a scan image of a patient's lung, identifying a pulmonary artery region and a pulmonary vein region of the lung in the scan image; acquiring a size parameter of each blood vessel in the pulmonary artery region and the pulmonary vein region, calculating a blood vessel feature of each blood vessel region according to the size parameter of each blood vessel in the pulmonary artery region and the pulmonary vein region; fusing the blood vessel feature of each blood vessel region with a previously acquired lung parenchyma structure feature of the patient's lung to obtain a fused feature; and inputting the fused feature into a previously trained classifier to identify a lung lesion evaluation result of the patient. The above method distinguishes the pulmonary artery and vein, quantifies the features, fuses the emphysema and airway multi-dimensional lesion indicators, and improves the comprehensiveness and accuracy of lung lesion identification. Meanwhile, the method does not require complex data support, simplifies the process, and reduces application costs.

The invention discloses a construction method and application of a dog lung space-occupying lesion model. The invention provides a method for constructing a peripheral lung lesion model on the periphery of a dog lung by injecting a temperature-sensitive hydrogel mixture through a natural orifice by using a bronchoscope, which overcomes the technical problems of strong invasiveness, complex modeling, low success rate, uncontrollable or unstable focus image and the like in the prior art. And the low-invasive, rapid, visible and stable peripheral lung disease canine model is constructed. Compared with existing percutaneous puncture or thoracotomy modeling, the method has the advantages that surgical operation is not needed, the modeling speed is high, imaging is visible, the focus stability is high, the simulation degree of an animal model to human peripheral lung lesion is remarkably improved, and a high-quality experimental platform is provided for related disease mechanism research and new technical verification.

The present invention relates to a pharmaceutical composition for use in the prophylaxis and / or treatment of lesions of the respiratory system, in particular lung lesions, caused by a microorganism. The present invention also relates to a pharmaceutical composition for use in the treatment of lesions of the respiratory system, in particular lung lesions, caused by a microorganism. The present invention has an application in particular in the therapeutic, pharmaceutical and veterinary fields.

The application provides a multi-channel pulse ablation device, relates to the technical field of medical treatment, is applied to a lung lesion tissue channel, the outer diameter of the pulse ablation device is less than the inner diameter of the lung lesion tissue channel, the pulse ablation device comprises a multi-lumen tube, an adjusting assembly, at least two groups of ablation catheter assemblies and flexible electrodes corresponding to each group of ablation catheter assemblies, the multi-lumen tube is used for accommodating the at least two groups of ablation catheter assemblies, the adjusting assembly is connected with each group of ablation catheter assemblies, and the ablation catheter assembly is connected with the flexible electrode, the at least two groups of ablation catheter assemblies can move along the axial direction of the multi-lumen tube, and the adjusting assembly is used for adjusting the position of each group of ablation catheter assemblies to adjust the position of the flexible electrode, so that the at least two groups of ablation catheter assemblies and the corresponding flexible electrodes can simultaneously ablate the target lesion tissue channel, the operation time is reduced, the treatment efficiency is improved, the process of repeatedly inserting and adjusting the catheter is avoided, and the repeated damage to the patient's tissue is reduced.

The invention discloses a targeted liposome nano-drug preparation for the acute exacerbation stage of pulmonary fibrosis and a preparation method and application thereof, and belongs to the technical field of biological medicines.The preparation method comprises the steps that RGD modified lipid is prepared, soybean phospholipid, cholesterol, DSPE-PEG2K-Cy5.5, the RGD modified lipid, nintedanib and dexamethasone are added into a solvent to be mixed, rotary evaporation is conducted to obtain a lipid membrane, and the lipid membrane is dried to obtain the targeted liposome nano-drug preparation for the acute exacerbation stage of pulmonary fibrosis; and adding the lipid membrane into a hydration solution containing hyaluronic acid for hydration, carrying out ultrasonic treatment under an ice bath, extruding through a polycarbonate filter membrane, and freeze-drying. According to the preparation method, targeting of lung activated myofibroblasts and injured alveolar epithelial cells is realized, so that the accumulation efficiency of the medicine in lung lesions is improved, local synergistic anti-fibrosis and anti-inflammatory effects are realized, and the clinical outcome of AE-IPF is improved.

The invention discloses a lung targeting nucleic acid drug-carrier composition, a preparation method and application, and belongs to the technical field of biological medicine. The composition takes an FEN1-DNP deoxyribonucleoprotein compound as a core treatment component, the compound is formed by assembling FEN1 endonuclease and an hpDNA oligonucleotide probe, the pulmonary fibrosis core pathogenic genes RUNX2 and PAI-1 can be precisely cut in a targeted manner, and the pathological process of a disease is cooperatively intervened in multiple links. A delivery carrier adopts composite lipid nanoparticles composed of ionized lipid, cationic lipid, neutral phospholipid, cholesterol and pegylated lipid, an FEN1-DNP compound is efficiently entrapped through a microfluidic method, and the composition adapts to aerosol inhalation administration, can directly reach a lung focus, improves the drug lung tissue enrichment degree, reduces the toxicity of non-target organs of the whole body, and has a good application prospect. The method has the advantages of multi-target intervention, high targeting and high biological safety, and has remarkable clinical transformation potential in the field of pulmonary fibrosis treatment.

The application provides a lung lesion automatic detection and diagnosis method based on CT images, and relates to the field of medical image assisted diagnosis, and comprises the following steps: S1, multi-modal feature fusion and segmentation are performed on the input CT image lung region; S2, lung nodule detection is realized based on dynamic self-adaptive dilated convolution; S3, the size of the lung nodule is quantified in combination with multi-modal features and an improved Snakes model; S4, dynamic tracking is performed by using a space-time dynamic tracking module; S5, a multi-dimensional feature of the nodule is extracted by a respective feature extraction module, and input is provided for diagnosis decision; and S6, a clinical diagnosis model is used to output a benign / malignant diagnosis result. The method can accurately identify the position of the lung nodule and judge the size of the nodule, thereby completing lung nodule assisted diagnosis, and avoiding problems such as low efficiency, large human subjective factors and low accuracy caused by excessive dependence on artificial.

The application belongs to the field of medical image analysis, and aims at the problem that the generation efficiency of standardized report for patients with chronic obstructive pulmonary disease is low and highly dependent on manual experience, and proposes a multi-modal semi-supervised image analysis and structured report generation method and application, which comprises the following steps: acquiring lung medical image data and performing pretreatment; constructing an improved variational autoencoder to obtain a latent variable representation of the lung medical image data; using domain adaptation adversarial learning to align the data in the unlabeled data set to the distribution of the data in the labeled data set in the latent variable and segmentation result; generating a preliminary report text using a text decoder according to the hidden variable output by the encoder of the variational autoencoder; performing knowledge distillation based on the pre-trained Teacher network and the text decoder to modify the medical terms and abbreviations in the preliminary report text; and outputting a structured report. The application can accurately segment lung lesions, quantify disease severity and automatically generate a structured report.

The invention relates to the technical field of medical apparatus and instruments, in particular to a lung intervention auxiliary device based on CT guidance, which comprises a positioning module used for determining a lung focus puncture angle based on a pre-scanning CT image, transmitting a puncture angle datum line through a laser transmitting unit, an optical fiber sensing piece on the positioning assembly is used for calibrating the axis of a hollow channel of the positioning assembly and the datum line angle, and when the axis and the datum line angle are aligned, puncture angle calibration is completed; the intervention module is used for inserting the outer-layer needle core sleeve into the human body along the hollow channel to establish a puncture channel after the puncture angle is calibrated; the biopsy module is used for inserting a rotary cutting assembly into the puncture channel and taking down focus tissue in a rotary cutting mode after the rotary cutting assembly reaches the focus position, and the focus tissue is sucked into the rotary cutting assembly through a negative pressure assembly to complete biopsy. According to the invention, the situation of repeated puncture caused by puncture angle positioning deviation in a lung interventional operation can be effectively avoided, and meanwhile, the pneumothorax emergency treatment capability is realized.