149 results about "Lymph nodes size" patented technology

A contrast agent for imaging lymph nodes or lymphatic vessels with near-infrared light that can selectively image primary lymph nodes relative to secondary or higher lymph nodes. A dose of the composition suitable for imaging lymph nodes or lymphatic vessels.

The invention discloses a lymph node detection method, system and equipment based on anatomical environment perception and a medium, belongs to the technical field of artificial intelligence medicine, and aims to solve the technical problem of low accuracy of lymph node detection. Comprising the steps of acquiring samples and label data, constructing and training a lymph node detection model, and performing real-time lymph node detection. The lymph node detection model comprises a feature extraction network, a cross-slice attention sub-module guided by a central slice, a three-dimensional channel and space significance enhancement sub-module, a hybrid encoder and Transform decoder sub-module and a detection head sub-module; an auxiliary anatomy environment sensing module is adopted to constrain prototype consistency and difficult negative samples; the auxiliary anatomy environment perception module comprises an ROI-level double-view data enhancement sub-module, a prototype consistency constraint sub-module and a difficult negative sample comparison sub-module. The method can enhance the distinguishing ability of the model to the lymph node and the complex anatomical environment where the model is located, and the lymph node detection accuracy is higher.

The invention provides an immunohistochemical method for antibody joint detection and a kit thereof, and particularly relates to the technical field of medical detection.The method comprises the steps that fresh endometrial lymph node tissue is subjected to frozen section, and a continuous section A and a continuous section B are obtained; 10% neutral buffer formalin is used for fixation; blocking by using a peroxidase blocking agent; respectively and independently dropwise adding a CK19 antibody and an MUC1 antibody on the continuous slice A and the continuous slice B; dropwise adding an HRP direct standard signal enhancer; after the DAB develops color, TBS is terminated, hematoxylin is used for redyeing, dehydration is carried out through absolute ethyl alcohol, and sheet sealing is carried out; the immunohistochemical method kit comprises a CK19 antibody, an MUC1 antibody, an HRP direct standard signal enhancer, a peroxidase blocking agent, a DAB developing solution and a TBS cleaning solution. The kit is used for rapid diagnosis of endometrial lymph node micro metastasis, the whole process only needs 15 minutes, and antigen repair is not needed.

The invention relates to a gynecological pelvic and abdominal lymphatic cleaning prediction model training method and a lymph node model.The training method comprises the steps that preoperative image data and intraoperative instrument operation parameters of historical patients are subjected to modeling processing, and a dynamic mechanics-fluid coupling lymph node model based on bionic materials is constructed; mechanical deformation and fluid flow of a lymphatic system in various clinical scenes are simulated; performing data acquisition processing on the used lymph node model, and quantifying the dynamic influence of the surgical operation on the lymphatic system; the relevance between historical operation and injury risk is deeply learned, and the lymphatic vessel rupture probability is output; real-time feedback control processing is carried out based on the lymphatic vessel rupture probability, a training correction instruction and a risk thermodynamic diagram are generated, and medical workers are guided to optimize surgical skills. Through fusion analysis of the high-fidelity bionic model and multi-modal data, dynamic simulation of the mechanical-fluid coupling effect in the operation and real-time quantification of the operation risk are achieved, and the accuracy and clinical transformation value of operation training are improved.

The invention discloses a cell adhesion protein Nectin-4 targeted bicyclic peptide fluorescent probe and a preparation method thereof, the probe provided by the invention can be used for accurate detection of recurrent tumors and metastatic lymph nodes, and the probe is applied to rapid pathology and fluorescent surgical navigation in an operation. The method has the advantages of high signal-to-background ratio, high specificity and long imaging time window.

This invention discloses an automatic segmentation and scoring method and system for FDG PET-CT lesions in lymphoma, belonging to the field of medical image analysis technology. It aims to improve the segmentation accuracy of lymphoma lesions and the objectivity of the Deauville score. First, standardized uptake values ​​are calculated for FDG PET images, and lymph node morphological features are extracted from CT images based on multi-scale Hessian enhancement filtering to construct a dual-modality PET-CT image pair. Then, a dual-channel depth network is used to extract anatomical structural features and metabolic distribution features respectively. Cross-modal gating fusion is used to suppress physiological uptake interference, outputting preliminary lesion segmentation results. Next, three-dimensional connected component analysis is performed on the segmentation mask, and metabolic heterogeneity index is extracted by combining kurtosis and Haar wavelet multi-scale energy. A graph attention network is used to identify key lesions. Finally, the ratio of key lesions to standardized liver uptake values ​​is combined with the metabolic heterogeneity index to correct the Deauville score, achieving automation from lesion detection to treatment efficacy evaluation.

The invention discloses a thyroid cancer and lymph node accurate positioning system based on three-dimensional imaging, which relates to the technical field of medical image modeling, and comprises the following steps: acquiring two-dimensional images of a cross section and a coronal plane, preprocessing the acquired two-dimensional images, extracting image features of the preprocessed two-dimensional images, and constructing a three-dimensional model based on the image features. Evaluating and adjusting the constructed three-dimensional model, displaying the adjusted three-dimensional model by using a visual tool and providing an interaction tool, generating an electronic diagnosis report based on a three-dimensional model positioning result, storing the generated electronic diagnosis report to a hospital internal database, and performing encryption measures on the access authority of the hospital internal database. According to the thyroid gland and lymph gland positioning method, feature processing is performed based on the preprocessed image, the three-dimensional model is constructed based on the feature processing result, and the adjusted three-dimensional model is displayed by using the visual tool, so that the accuracy of thyroid gland and lymph gland positioning is improved, and the complexity of an operation and the risk of lymph gland omission are reduced.

The application discloses a lightweight head and neck lymph node image segmentation method and system, and relates to the technical field of image processing. The application comprises the following steps: receiving a lymph node image for preprocessing, and dividing the image data into a training set and a test set; constructing a segmentation network structure based on a U-Net network, wherein the segmentation network structure comprises an encoder, a volume partial convolution layer, a convolution block and a decoder; adding a lightweight boundary refinement output module at the output end of the segmentation network structure for further refining the edge; training the segmentation network structure by using the training set, taking the minimization of the overall loss function as the network optimization objective function, and optimizing the segmentation network structure. The application adds the volume partial convolution, the convolution block and the lightweight boundary refinement output module between the encoder and the decoder, which can effectively reduce the calculation amount and the parameter amount while enhancing the accuracy of the segmentation result, and improve the calculation efficiency and the model performance.

The invention discloses a lymph node screening device for tumor examination, and belongs to the technical field of lymph node screening. The lymph node screening device for tumor examination comprises a box body and a containing assembly used for containing cellulite, a separating assembly used for separating fat from lymph nodes is arranged in the box body, the separating assembly separates the fat from the lymph nodes through water pressure, and the containing assembly is installed in the box body through a rotating disc. The turntable rotates in the box body; by arranging the containing assembly, when fat and lymph nodes need to be separated, cellulite is placed on the supporting net, the fat is removed from the surfaces of the lymph nodes through water pressure by the separating assembly, the fat is washed to the surfaces of the trays, the lymph nodes are left on the surface of the supporting net, and the purpose of rapidly screening the lymph nodes is achieved; therefore, the cellulite can be flatly laid on the surface of the supporting net, the thickness of the cellulite is reduced, fat and lymph nodes can be conveniently separated by the separation assembly, and the separation effect is improved.

The invention provides a lymph node identification system and method integrating multi-scale features, and the method comprises the steps: carrying out the grid processing of a pre-obtained original pathological section image, and obtaining a grid data set; based on a preset local feature extraction algorithm and a preset cell detection model, performing local texture information extraction and cell information extraction on each piece of grid data in the grid data set to obtain a plurality of grid data local features; obtaining a candidate organization set based on the plurality of grid data local features; on the basis of a preset global feature analysis algorithm, capturing overall cell distribution features in the candidate tissue set to obtain a target tissue set; obtaining a lymph node distribution diagram based on the candidate tissue set, the target tissue set and an original pathological section image; and recognizing the lymph node of the original pathological section image based on the lymph node distribution diagram. According to the method, comprehensive analysis combining local and global information is realized, and the lymph node identification accuracy is improved.

Provided herein, among other things, is a method for prevention and / or treatment of an autoimmune disease. In some embodiments, the method may comprise administering to a subject a composition, said composition comprising at least one β cell autoantigen, by intralymphatic injection or injection directly into a lymph node.

Disclosed are an artificial lymph node (aLN) comprising an extracellular matrix (ECM) hydrogel conjugated with an antigen presenting complex (Signal 1), a co-stimulatory ligand (Signal 2), and T cell-stimulating cytokine (Signal 3) and methods of their use for stimulating one or more T cells and treating a disease, disorder, or condition selected from a cancer, an infectious disease, and an autoimmune disease.

The invention provides a targeted mRNA delivery system of muscle tissues and / or muscle cells based on aptamer functionalized LNP (Apt-LNP), the delivery system can significantly improve mRNA transfection of the muscle tissues, and meanwhile, mRNA expression in main organs such as liver and spleen is greatly reduced. The expression intensity of muscle tissue in-situ mRNA is improved through modification of the aptamer, meanwhile, mRNA expression in main organs such as the liver and the spleen is greatly reduced, and side effects caused by off-target of mRNA infectious disease vaccines are expected to be avoided. The method is expected to be applied to the field of infectious disease mRNA vaccines The invention also provides a targeting mRNA delivery system of lymph node tissues and / or immune cells based on the aptamer functionalized LNP (Apt-LNP). Compared with an existing lymph node targeting system, the Apt-LNP modified by the aptamer not only can realize lymph node mRNA targeting, but also can further target immune cells, and is expected to be applied to the field of tumor mRNA vaccines to enhance the curative effect of tumor vaccines.

The present disclosure relates to compositions comprising a population of immunomodulatory lipid nanoparticles, as well as methods of using thereof to treat and / or prevent cancer (e.g., via local administration to the lymph nodes) and methods of using thereof to treat and / or prevent cancer metastasis in a subject.

The invention discloses a tumor detection marker and application thereof in medicine preparation, and belongs to the technical field of biomedicine. Clinical sample qRT-PCR (quantitative real-time polymerase chain reaction) shows that ENST00000412203.1 is obviously up-regulated in breast cancer tissues, the area (AUC) under the ROC curve reaches 0.9822, and the diagnosis efficiency is excellent. In addition, the invention further finds that the expression of the polypeptide in lymph node metastasis tissues is obviously improved, and metastasis specificity is displayed. Meanwhile, the expression of ENST00000412203.1 is knocked down through siRNA, it is found that proliferation, migration and invasion of breast cancer cells are remarkably inhibited, and therefore the siRNA can be used for preparing targeted therapy drugs for breast cancer and has important clinical application value.

Provided herein are vaccine compositions for use in the stimulation of broad-spectrum memory B cell expansion in a patient that has been exposed or is at risk of exposure to an infectious agent of unknown etiology. The composition comprises IL-15 or an IL-15 analog and at least two toll-like receptor (TLR) agonists, wherein the agonists are targeted to different members of the TLR family. Further contemplated herein are compositions and methods of stimulating germinal B cell expansion in a patient, the composition comprising IL-15 or an IL-15 analog and a nucleic acid, wherein the nucleic acid encodes at least one immunogenic peptide, and wherein the composition is administered either subcutaneously or directly into a lymph node.

The invention relates to the technical field of CT image processing, in particular to a nasopharynx cancer CT positive lymph node segmentation method based on cross-layer perception, which comprises the following steps: step 1, carrying out focus area interception and histogram equalization processing on an original CT image; step 2, constructing a 2.5 D network model of cross-layer perception: the model comprises an encoder, a fusion module and a decoder, the encoder performs feature extraction on continuous slices, and the decoder recovers a segmentation result through transposition convolution and linear interpolation; and 3, training the model by using a clinically labeled data set, and verifying the segmentation effect through a test set. The cross-layer perception-based positive lymph node segmentation method in nasopharyngeal carcinoma CT can give consideration to segmentation efficiency and precision at the same time, can obtain the segmentation result in an end-to-end manner without manual intervention, and can greatly improve the segmentation efficiency and accuracy in resource-limited places such as hospitals and the like. And a doctor is assisted to efficiently complete the sketching work of the positive lymph nodes in the CT of the nasopharyngeal malignant tumor patient.

Inventors have first investigated the impact of PIK3CA inhibition in NZBWF1 / J mice a model of lymphoproliferative disorders. They randomly assigned 30 females aged of 24 weeks to receive either vehicle (n=15) or alpelisib (n=15) during 4 weeks. At the time of sacrifice, alpelisib treated mice demonstrated significantly reduced spleen size. Flow cytometry analysis revealed that B cells were significantly reduced in alpelisib treated mice and CD8 cells count corrected. They then decided to explore the relevance of alpelisib in MRL / MpJ-Faslpr / J mice (referred here as MRL-lpr), another mouse model of lymphoproliferative disorder. These mice with homozygous Fas mutation usually develop severe lymphadenoproliferation. At the time of sacrifice. MRL-lpr mice treated with alpelisib demonstrated a reduction on their spleen and lymph node sizes. Flow cytometry analysis showed correction of B cells. T cells and other immune cells in peripheral blood mononuclear cells (PBMC), lymph nodes and spleen. The invention relates to a method for treating lymphoproliferative disorder in a subject in need thereof comprising a step of administering the subject with a therapeutically effective amount of a PIK3CA inhibitor.

The invention discloses a Toll-like receptor (TLR) agonist / organic photosensitizer protein nano-composite as well as a preparation method and application of the Toll-like receptor (TLR) agonist / organic photosensitizer protein nano-composite. In order to overcome the defects of short blood half-life period, low bioavailability and the like of the existing TLR agonist, the protein nano-composite is obtained by forming a compound in a protein cavity by using the TLR agonist and an organic photosensitizer, and has tumor and lymph node dual-targeting characteristics. The protein nano-composite is simple in preparation method, mild in condition, free of an organic solvent, uniform in particle size and has a pH-responsive drug release behavior, and the protein nano-composite is prepared by a one-step method with water as a solvent. Based on an active targeting mechanism mediated by an albumin binding receptor and an active uptake mechanism of antigen presenting cells to albumin, the nano-composite has tumor and lymph node dual-targeting characteristics, has immunotherapy and light therapy effects under irradiation of near-infrared light, and has a good application prospect from two aspects of short-term quick action and long-term body immunity improvement. Tumor growth is effectively restrained, and tumors are expected to be radically treated.

The application belongs to the technical field of pharmaceutical preparations, and particularly relates to an indocyanine green preparation and a preparation method and application thereof. The preparation is a liquid preparation or a freeze-dried preparation, raw materials for preparing the preparation include indocyanine green, phospholipid, cholesterol, a freeze-drying protective agent, water and a pH regulator, the pH regulator is selected from one or more of sodium citrate, potassium citrate, sodium tartrate, sodium acetate, sodium lactate and sodium succinate, and the pH of the preparation is adjusted to 6.0-8.5. By means of a specific organic acid salt buffer system and a specific preparation process (the freeze-drying protective agent is added before lipid film deposition), the application can specifically inhibit the growth of impurities with RRT 0.7 and RRT 0.3, respectively, and significantly improve the chemical stability of the preparation. Meanwhile, the preparation can realize accurate positioning of sentinel lymph nodes and second and third lymph nodes, and can be used for preparing a lymph tracer. The application effectively solves the technical problems of rapid impurity growth, poor stability and inaccurate multi-stage lymph positioning of the existing ICG preparation.

The present invention relates to a method for constructing a lymphedema pathological network based on graph neural networks. First, collect medical imaging data, clinical records, and biomarker data of the lymphatic system of patients, and use image processing techniques to extract key features and structure them into nodes and edges of a graph; then, based on the anatomical structure and physiological functions of the lymphatic system, define the topological structure of the graph, and introduce multi-modal data fusion technology to combine imaging data and biomarker data; then, design a multi-layer graph convolutional network model for learning the patterns of lymph nodes and their connections, and introduce an attention mechanism; then, use the graph convolutional network for deep learning to extract hidden features of nodes and edges, and apply graph embedding technology to transform high-dimensional graph data into a low-dimensional space; finally, develop a graph-based anomaly detection algorithm for identifying pathological changes that are significantly different from common patterns, and combine time series analysis to predict the pathological progression of lymphedema.

Gun-type lymph node forceps capable of being opened and closed horizontally belong to the technical field of medical instruments. According to the technical scheme, the clamp comprises a fixed part composed of a fixed handle, a fixed clamp body and a fixed clamp body head, and a movable handle is rotationally connected with the fixed clamp body through a lower pin hole of a rotating part; the movable vice body is rotationally connected with the rotating part through a pin hole in the upper part of the rotating part; the movable vice body is connected with the head of the movable vice body through a movable stepped shaft, and the movable stepped shaft is fixedly connected with the movable vice body; the fixed stepped shaft is fixedly connected with the fixed vice body, and the fixed stepped shaft is in lubrication fit with the head of the movable vice body. The pair of surgical forceps has the advantages that operation convenience is achieved through structural innovation, pressure on the wrist of a doctor is relieved, surgical accuracy and safety are improved, the thickness of the forceps body is reduced, more surgical scenes are enriched, the service life is prolonged, and maintenance cost is reduced; the efficiency and safety of the lymph node operation are remarkably improved, and better operation experience and treatment effect are brought to doctors and patients.

The present disclosure relates to an apparatus and method for early evaluation of lymphedema occurrence by determining the regularity of lymphatic contractions, the apparatus comprising a memory for storing at least one instruction for early evaluation of lymphedema occurrence, and a processor for performing operations according to the instruction, wherein the processor: monitors, by using indocyanine green lymphography, the occurrence of lymphedema in an animal model in which lymph nodes have been resected to disconnect lymphatic circulation in an upper limb from the proximal region; measures lymphatic contraction signals at a distal site to detect the onset of and changes in lymphatic circulation disorder; compares the measured lymphatic contraction signals with the lymphatic contraction signals from a normal site; monitors changes in the lymphatic contraction signals at the distal site; and determines the presence of lymphedema on the basis of the monitoring results.

The present application provides identification, in vitro amplification, and application method of memory CD8 T cells specific for an antigen in a solid tumor-draining lymph node.

The invention relates to medical training aids. The claimed method includes preparing models of bone and cartilage structures and molds for blood vessel and thyroid models by 3D printing. A plastisol containing polyvinyl chloride is used for simulating a thyroid and blood vessels. This plastisol is poured into the molds for the blood vessel and thyroid models and held until it has cooled. A plastisol containing powdered graphite and a metal glitter for echogenicity is used for simulating lymph nodes and tumorous growths. Lengths of jute twine are laid in molds, into which a plastisol with added glitter is poured, the plastisol is held until it has cooled, and neck muscle models are cut out. A plastisol containing dyes is poured into a master neck mold to produce a skin model. The models of the muscles, vessels, thyroid, bone and cartilage structures, trachea, lymph nodes and tumorous growths are arranged in the master neck mold, into which a plastisol containing glitter is poured, the assembly is left to cool before being removed and the skin model is attached. The technical result is that the structure of the phantom more closely resembles the structure of a human thyroid.

The invention relates to the technical field of medical nutrition preparations, in particular to an enteral nutrition composition for patients with lymph node injury chylomile leakage, and 100g of the composition comprises the following components: 15-30g of compound oligopeptide powder, 35-80g of carbohydrate, 5-15g of fat, 3-5g of glutamine, 0.1-2g of multivitamins, 0.05-1g of trace elements, 2-4g of electrolyte, 0.1-0.3 g of food additives and 109-1011CFU of probiotics. The composition well solves the problems of inaccurate intestinal nutrition support, low absorption and utilization rate, lack of functional regulation components and the like of incomplete intestinal obstruction tumor patients.

Systems, devices, and methods of connecting two anatomical structures to facilitate fluid communication between the structures may utilize percutaneous and / or endovascular entry routes to the anatomical structures so that they may be positioned proximate to one another and a channel for facilitating fluid communication between them may be formed. In some cases, a first anatomical structure is a vein and a second anatomical structure is a lymph node and, in these instances, the lymph node may be positioned proximate to the vein so that a channel that allows lymphatic fluid to drain into the vein may be formed as a way of treating and / or preventing lymphedema.

The application relates to the technical field of medical devices, in particular to a skin ultrasound contrast-based axillary sentinel lymph node puncture guiding method. The core of the method is as follows: after injecting an ultrasound contrast agent with a specific particle size through the skin, a preset low-mechanical-index high-frame-rate double-amplitude contrast imaging mode is adopted to dynamically track lymph drainage and sentinel lymph node development, and the enhancement characteristics are recorded; then, under the guidance of multimodal imaging which is fused with real-time contrast, elastic imaging and color Doppler, the target lymph node is accurately punctured and biopsied, and a tissue sample is obtained for pathological analysis. The application realizes integrated operation from sensitive development of the sentinel lymph node, function evaluation to accurate puncture, and provides a non-radiation high-precision puncture guiding method for accurate evaluation of the axillary lymph node state of breast cancer patients before operation.

The invention discloses a lymph node and nodule classification method based on a visual pre-training model and a VLM, and the method comprises two core technology modules: the module 1 is a pre-trained visual large model, and the module is used for coding an ultrasonic image through the abundant and general representation learning capability of the pre-trained large model, and carrying out the classification of the ultrasonic image; features with generalization performance priori are extracted, and the problem of performance reduction caused by domain offset is relieved; the second module is a field-adaptive VLM model, on the basis of a Prompt Finishing design normal form, pictures are coded by using a pre-trained large model, lymph node pictures are abstracted into feature expressions, and the feature expressions have rich and robust feature semantic information and can reflect the distribution conditions of pictures with different contents in a universal feature space, so that the method is suitable for the field-adaptive VLM model; then, the initialized cue word is modified based on the unique feature expression of each image, so that the optimization update of the cue word has strong correlation with the change of the features of the image;

The application is suitable for the technical field of CT image processing, and provides a segmentation method for positive lymph nodes in a CT image based on multi-task learning, comprising: preprocessing and enhancing data of a CT image sequence, constructing a multi-task deep learning model, extracting features through an encoder, performing a classification task by using a classification module, and segmenting positive lymph nodes by using a segmentation module combined with a classification result. The application is excellent in classification accuracy (up to 91.1%) and DICE coefficient of segmentation (up to 0.602), and is superior to a separate 2D segmentation model. Compared with a 3D segmentation model, the application maintains similar segmentation performance and is shorter in reasoning time. The application can simultaneously complete the classification and segmentation tasks for positive lymph nodes in a CT image, reduces the work burden of doctors, improves the diagnosis and treatment efficiency of doctors, and fills the blank of simultaneously judging and outlining positive lymph nodes in a head and neck CT image of a nasopharyngeal carcinoma patient.