36 results about "Vulnerable plaque" patented technology

The invention relates to the field of cardiovascular medicine, and discloses a coronary artery vulnerable plaque detection and analysis system which comprises a data collection module used for collecting multi-mode imaging data of a coronary artery and identifying the blood vessel structure and the blood vessel type of the coronary artery, and a plaque area identification module used for positioning the branch opening position of the coronary artery and identifying the blood vessel structure and the blood vessel type of the coronary artery. Multi-class plaques of coronary arteries are separated out; the plaque classification detection module is used for extracting structural features of multiple categories of plaques, identifying vulnerable plaques and stable plaques in the coronary artery and setting a plaque classification detection system of the coronary artery; the vulnerable plaque evaluation module is used for constructing a coronary artery vulnerable plaque scoring mechanism according to the plaque vulnerability index, the plaque component and the radial wall strain value; and the result feedback module is used for generating a vulnerable plaque feedback result of the coronary artery in combination with the vulnerable plaque scoring mechanism and the plaque classification detection system. According to the invention, the accuracy of coronary artery vulnerable plaque detection can be improved.

The invention discloses a coronary artery vulnerable plaque segmentation model training method and device based on multi-mode semi-supervised learning. The method comprises the following steps: acquiring a CTA coronary blood vessel image set and a blood vessel inner cavity image set; respectively preprocessing each group of paired images so as to obtain preprocessed paired images; constructing a registration model and a coronary artery vulnerable plaque segmentation model based on a semi-supervised learning framework; and respectively training the registration model and the coronary artery vulnerable plaque segmentation model based on the semi-supervised learning framework so as to obtain the trained registration model and the trained coronary artery vulnerable plaque segmentation model based on the semi-supervised learning framework. According to the coronary artery vulnerable plaque segmentation model based on multi-modal semi-supervised learning, the defect of a traditional registration method depending on a manual design loss function can be overcome.

Systems and methods for vulnerable plaque assessment and outcome prediction in coronary artery disease. Medical imaging data is used to generate a coronary tree model of coronary centerlines of a patient. The coronary tree model includes a plurality of nodes that represent locations in the coronary tree model. Feature embedding associated with each node are determined from a plurality of features derived from the medical imaging data. The feature embeddings are input into a trained graph neural network that is configured to output an assessment at a node level, a segment level, and / or a coronary tree level for vulnerable plaque.

The invention discloses application of salvianolic acid A in preparation of a medicine for preventing and treating vulnerable plaques of advanced atherosclerosis. The invention also discloses application of the salvianolic acid A combined with ferulic acid or the salt thereof in preparation of drugs for preventing and treating advanced atherosclerosis vulnerable plaques. Researches find that salvianolic acid A can promote apoptosis of senescent vascular smooth muscle cells and has a Senlytics effect; the salvianolic acid A stabilizes vulnerable atherosclerotic plaques by reducing the load of senescent vascular smooth muscle cells; the salvianolic acid A is in non-covalent binding with ASP54, ALA55, LYS58, ASP93, ASP102 and LYS112 of the HSP90AA1 to play a role in inhibition, and the ASP93 has the greatest contribution to binding free energy. The research of the invention is of great significance to the development and application of drugs with anti-aging effect for stabilizing advanced atherosclerotic vulnerable plaques.

The invention provides an identification method for coronary artery vulnerable plaques, a storage medium and electronic equipment, and relates to the technical field of biomedical engineering.The identification method comprises the steps that blood vessel segmentation is conducted on a CCTA image; for each blood vessel segment obtained by segmentation, the following processing steps are performed: straightening curved surface reconstruction is performed to generate an SCPR image, and plaque detection is performed based on the SCPR image to position a first plaque area; analyzing the PCAT region corresponding to the blood vessel segment, and determining a CT value distribution diagram in spatial registration with the first plaque region; performing dynamic re-segmentation processing on the first plaque region according to the CT value distribution diagram to determine a second plaque region; and converting an image corresponding to the second plaque region, and inputting the converted image into the trained model to obtain an identification result. In the application, on the basis of the existing form-based vulnerable plaque identification, PCAT analysis is introduced to carry out joint identification, so that improvement of the overall identification performance is facilitated.

The invention discloses a system and a method for dynamically identifying vulnerable plaques of an intravascular ultrasonic image. According to the system, plaque evolution information of continuous IVUS image frames is extracted by constructing a feature extraction module based on a space-time convolutional neural network; combining limited OCT annotation data through a transfer learning model; the blood flow wall shear force and the inflammatory marker IL-6 are fused in a plaque rupture risk prediction matrix, and a new mathematical calculation model is provided to predict the plaque risk. The system supports real-time analysis in an interventional operation and automatically marks a high-risk plaque area, and the vulnerable plaque detection sensitivity can reach 94% or above. The hardware architecture comprises an image acquisition unit, a deep learning calculation module and a labeling interaction module; the software architecture comprises a plaque recognition engine, a shear force calculation module, a biological data fusion interface and the like. The system has the advantages of being easy and convenient to operate, high in real-time performance, high in accuracy and the like, and an efficient intraoperative plaque risk assessment tool is provided for interventional therapy.

The invention discloses a radioactive diagnosis medicine for targeting OPN as well as a preparation method and application of the radioactive diagnosis medicine. The radioactive diagnosis medicine comprises linear polypeptide and radionuclide, wherein the linear polypeptide is composed of 20 L-type amino acids and one D-type amino acid, and the radionuclide marks the linear polypeptide through a bifunctional chelating agent; the sequence of the linear polypeptide is as shown in SEQ ID NO. 1. In vivo, radionuclides in the medicine are concentrated to an atherosclerotic vulnerable plaque part through the targeting effect of the amino acid linear polypeptide, and imaging diagnosis is carried out on the atherosclerotic vulnerable plaque by utilizing a positron emission computed tomography technology of nuclear medicine.

Systems and methods for automatic assessment of a lesion are provided. One or more input medical images of a vessel of a patient is received. A lesion is defined in the one or more input medical images. A region of interest around the lesion is defined in the one or more input medical images. Radiomic features are extracted from the region of interest. An assessment of the lesion is determined using a machine learning based classifier network based on the radiomic features. The assessment of the lesion is output.

The application discloses a kind of intravascular virtual stent size determination method, it is related to medical image processing technical field.The method comprises the following steps: obtaining the OCT image group in the polar coordinate of target blood vessel section;Determine the IPA value of each OCT image in the OCT image group;Determine the preset value, based on the IPA value and the preset value, the EEL recognition state in the OCT image is configured as the first state and the second state;In the case where EEL is in the first state, EEL is enhanced and repaired based on the deep learning model;In the case where EEL is in the second state, EEL is completed and reconstructed based on the completion subnetwork, and the confidence is obtained;According to the comprehensive loss function, the size of the virtual stent is determined.The application improves the clinical consistency of FFR prediction: since the planning of virtual stent considers vulnerable plaque distribution, the predicted stent position is closer to the safe position that the doctor will actually choose during surgery.Therefore, the calculated virtual FFR value has higher consistency with the actual measured FFR value after surgery, and the clinical guidance value of the system is improved.

The invention relates to the technical field of disease early warning, in particular to a heart and cerebral vessel early warning method based on vulnerable plaque image recognition. Comprising the following steps: multi-modal image data acquisition and preprocessing: synchronously acquiring an intravascular optical coherence tomography image, a digital subtraction angiography image and a magnetic resonance imaging image of a target blood vessel region, and carrying out geometric calibration and noise suppression processing on the images to generate standardized three-dimensional blood vessel structure data; dynamic spatio-temporal feature extraction: performing dynamic feature extraction on the three-dimensional vascular structure data based on a deep learning network of a spatio-temporal attention mechanism, and obtaining morphological parameters, component distribution features and haemodynamics related spatio-temporal features of a plaque region; according to the invention, the comprehensiveness of vulnerable plaque identification and the accuracy of an early warning result can be improved, and a scientific basis is provided for early intervention of cardiovascular and cerebrovascular diseases.

A liposomal nanocarrier delivery system for targeting an active CD44 molecule, preparation method therefor, and uses thereof. The surface of the liposome is partially modified by a targeting ligand, wherein the targeting ligand is a ligand that can be specifically combined with the active CD44 molecule. The liposomal nanocarrier delivery system can be used for diagnosing, preventing, and treating vulnerable plaque or diseases related to vulnerable plaque.

The present application relates to the field of food, health care products and medicine, and specifically relates to a purslane oral composition for regulating blood lipid and resisting atherosclerosis, and a preparation method and application thereof. The present application takes purslane extract, galangal extract and borneol as core components, and realizes the synergistic effects of lipid regulation, anti-inflammation, reduction of plaque area, stabilization of vulnerable plaque, mild anti-thrombus and myocardial protection through scientific proportioning. The bioavailability is significantly improved by combining the tongue sublingual absorption of borneol and the mucosal penetration of galangal volatile oil. The composition has comprehensive targets, definite effects and good safety, and can be made into oral dosage forms such as buccal tablets, dripping pills and oral disintegrating tablets, and is suitable for daily oral care of cardiovascular sub-healthy people.

A liposomal nanocarrier delivery system for targeting an active CD44 molecule, preparation method therefor, and uses thereof. The surface of the liposome is partially modified by a targeting ligand, wherein the targeting ligand is a ligand that can be specifically combined with the active CD44 molecule. The liposomal nanocarrier delivery system can be used for preventing, and treating vulnerable plaque or diseases related to vulnerable plaque.

The invention relates to a plaque analysis method and system and a storage medium. The method comprises the steps of obtaining a blood vessel image; the blood vessel image comprises a plaque structure; segmenting a target object in the blood vessel image to obtain attribute information of the target object; the target object comprises a plaque structure and a blood vessel structure; the attribute information comprises at least one of a reconstruction index, an eccentricity index, a plaque load, a calcification integral and a probability index of the plaque structure; the probability index is used for evaluating the probability that the plaque structure is a vulnerable plaque; and performing type analysis on the plaque structure according to the attribute information of the target object to obtain an analysis result. According to the embodiment of the invention, more comprehensive and accurate attribute information of the target object can be determined, so that the plaque structure can be subjected to type analysis according to the more comprehensive and accurate attribute information of the target object, and a more accurate analysis result is obtained. Therefore, the accuracy of analyzing the plaque in the blood vessel can be improved.

A liposomal nanocarrier delivery system for targeting an active CD44 molecule, preparation method therefor, and uses thereof. The surface of the liposome is partially modified by a targeting ligand, wherein the targeting ligand is a ligand that can be specifically combined with the active CD44 molecule. The liposomal nanocarrier delivery system can be used for diagnosing, preventing, and treating vulnerable plaque or diseases related to vulnerable plaque.

The invention provides a traditional Chinese medicine composition and application thereof in preparation of a medicine for treating atherosclerosis, and belongs to the technical field of traditional Chinese medicines. The traditional Chinese medicine composition comprises the following raw material components in parts by mass: 8-10 parts of Guangxi curcuma zedoary, 8-12 parts of peach kernels, 8-12 parts of cassia twigs, 8-12 parts of poria cocos, 25-35 parts of raw astragalus membranaceus, 8-12 parts of moutan bark, 8-12 parts of red peony roots, 10-20 parts of fructus mali, 10-15 parts of herba lycopi and 25-35 parts of oysters. The traditional Chinese medicine composition can improve the lesion degree of atherosclerosis, reduce the blood fat level and reduce the generation of atheromatous plaques, thereby improving the atherosclerosis; meanwhile, the traditional Chinese medicine composition has an anti-AS effect in the aspects of stabilizing vulnerable plaques, promoting reverse transport of cholesterol, adjusting energy metabolism and water metabolism of mitochondria, resisting inflammation and resisting oxidative stress.

A method and apparatus for identifying a vulnerable coronary plaque based on a multimodal large language model (MM-LLM) are provided. The method includes: acquiring a target 3D coronary computed tomography angiography (CCTA) image and a target straightened curved planar reformation (SCPR) image; acquiring plaque mask information of a blood vessel based on the target SCPR image; acquiring basic plaque data based on the plaque mask information; acquiring fluid dynamics data of each plaque area based on the SCPR image; acquiring basic clinical testing information; standardizing above image data, structural data, and textual data separately, and performing, by a regression mapping network, feature fusion to acquire a first fusion feature; acquiring a trained vulnerable plaque identification LLM; and inputting the first fusion feature into the vulnerable plaque identification LLM to acquire an identification result. The method solve problems of poor single-image feature expression ability and low identification performance in traditional technologies.

The invention provides a plaque treatment device. The plaque treatment device comprises a catheter, a plaque destroying mechanism and a content recycling mechanism, the plaque disruption mechanism is configured to switch between an execution state and a first storage state; wherein the plaque destruction mechanism in the first storage state is loaded in the catheter and is used for moving along with the catheter; the plaque destroying mechanism in the execution state is used for destroying the bag wall of a target plaque, and the content recycling mechanism is used for recycling the content of the target plaque. By means of the configuration, the plaque destroying mechanism can be used for destroying the wrapping wall of the target plaque in a physical mode, so that the content of the target plaque can be recycled by the content recycling mechanism, and harm caused by blood circulation is avoided. The device is a mechanical treatment mode for the vulnerable plaque, and has the advantages that fundamental problems can be rapidly solved, accurate treatment is achieved, and the purpose of rapidly and thoroughly treating the vulnerable plaque is achieved.

A liposomal nanocarrier delivery system for targeting an active CD44 molecule, preparation method therefor, and uses thereof. The surface of the liposome is partially modified by a targeting ligand, wherein the targeting ligand is a ligand that can be specifically combined with the active CD44 molecule. The liposomal nanocarrier delivery system can be used for diagnosing, preventing, and treating vulnerable plaque or diseases related to vulnerable plaque.

The invention relates to the field of biological medicine, in particular to AS vulnerable plaque treatment nanoparticles and a preparation method and application thereof.The nanoparticles comprise hollow mesoporous manganese dioxide nanospheres, and the manganese dioxide nanospheres are loaded with 5 alpha-hydroxycostus acid and perfluoropentane; the manganese dioxide nanosphere is coated with an M2 type macrophage-liposome hybrid membrane, and VLA-4 is expressed on the M2 type macrophage-liposome hybrid membrane. By means of the scheme, normalization of new vessels in plaques is achieved, then the plaques are stabilized, and the problem that treatment cannot be conducted from the perspective of normalization of the new vessels in the prior art is solved.

The application discloses an arterial plaque detection method based on thermoacoustic imaging technology. The method processes the collected ultrasonic signals, and the results are reflected on two different channels in software. After processing by an image reconstruction module, a thermoacoustic imaging graph and a photoacoustic imaging graph are reconstructed, and a vulnerable plaque part is automatically identified. Through mutual verification and self-examination of the processing results of the two kinds of imaging graphs, a suspected vulnerable plaque part is marked and position inversion is performed, necessary basic information is provided for classification and treatment of the vulnerable plaque; the combination of the two imaging modes can provide physiological indexes; the transmitted data is processed in the image reconstruction module through a network, and the application in health prevention and disease diagnosis is met.

This invention specifically discloses a photoacoustic nanorobot, its preparation method, and its applications, relating to the field of atherosclerotic plaque imaging technology, and particularly to a photoacoustic imaging agent for atherosclerotic plaques. The photoacoustic nanorobot provided by this invention uses the plaque's unique high-lipid environment as a signal "switch," targets unwinding collagen—which is directly related to plaque mechanical stability—as the imaging target, and combines active chemotactic movement capabilities to achieve targeted penetration and heterogeneity analysis, thereby realizing specific enhanced imaging of vulnerable plaques.

The application discloses a vulnerable plaque detection method and related equipment, and relates to the medical identification field, and mainly aims to solve the problem that there is no method for accurately identifying vulnerable plaques in a blood vessel wall image. The method comprises the following steps: constructing an imageomics model based on the plaque characteristics of at least two test samples through plain scanning and enhanced 3D HRMR-VWI image; determining a fusion prediction model based on a traditional model and the imageomics model; and determining the vulnerable plaque of a target sample based on the fusion prediction model. The application is used in the vulnerable plaque detection process.

The present application relates to the technical field of medical devices, and provides a method for identifying vulnerable plaques, including: obtaining N frames of light attenuation coefficient images corresponding to N temporally adjacent vascular OCT images, where N is a positive integer greater than 1; determining a target light attenuation coefficient image from the N frames of light attenuation coefficient images; determining a target IPA according to the IPA of M frames of light attenuation coefficient images adjacent to the target light attenuation coefficient image, the target IPA is positively correlated with the sum of the IPAs of the M frames of light attenuation coefficient images, M is an integer greater than 1, and M is less than or equal to N; when the value of the target IPA is greater than the IPA threshold, it is determined that the target light attenuation coefficient image contains a vulnerable plaque region; or, when the value of the target IPA is less than or equal to the IPA threshold, it is determined that the target light attenuation coefficient image does not contain a vulnerable plaque region. The above method can improve the discrimination of the region corresponding to the vulnerable plaque in the OCT image.

The invention relates to the technical field of biomedicine, in particular to a double-target probe for evaluating the vulnerability of artery plaques and application of the double-target probe. The invention provides a double-target probe and application thereof in detection of vulnerable plaque markers MPO and MMP-9, the double-target probe has high specificity, accuracy and sensitivity, can provide multi-dimensional diagnostic information for vulnerable plaque generation, and can be used for detecting vulnerable plaque markers such as MPO and MMP-9. The plaque instability is reflected from the structural level, and the plaque inflammatory oxidation degree is reflected from the inflammation level; compared with a single marker diagnosis result, the double-target probe provided by the invention not only can improve the utilization rate of a detected sample, but also has the technical advantage of noninvasive and nondestructive detection.

The present invention discloses a cardiovascular early warning method based on vulnerable plaque image recognition, comprising the following steps: acquiring cardiovascular and cerebrovascular data of a patient; performing image preprocessing and data annotation on the cardiovascular and cerebrovascular data of the patient to acquire three-dimensional cardiovascular and cerebrovascular data, and establishing a vulnerable plaque recognition model based on the three-dimensional cardiovascular and cerebrovascular data using a first convolutional neural network; extracting three-dimensional vascular images, establishing a fluid simulation model for the three-dimensional vascular images, and acquiring blood flow information using the fluid simulation model; acquiring rupture causes and early warning information based on the output of the vulnerable plaque recognition model and the blood flow information, and inputting the rupture causes and the early warning information into a second convolutional neural network model to construct an early warning model; the method is conducive to directly and conveniently acquiring detailed data information of vulnerable plaques, saving manpower and material resources for diagnosis and treatment; and providing an accurate and powerful reference for doctors to diagnose and treat vulnerable plaques, and is conducive to early detection of high-risk populations for cardiovascular and cerebrovascular diseases.

The present invention relates to the field of cardiovascular medicine and discloses a coronary artery vulnerable plaque detection and analysis system, comprising: a data collection module for collecting multimodal imaging data of the coronary arteries and identifying the coronary artery vascular structure and type; a plaque region identification module for locating the branch openings of the coronary arteries and analyzing multiple types of coronary plaques; a plaque classification detection module for extracting the structural features of multiple types of plaques, identifying vulnerable and stable plaques in the coronary arteries, and establishing a coronary artery plaque classification detection system; a vulnerable plaque assessment module for constructing a coronary artery vulnerable plaque scoring mechanism based on the plaque vulnerability index, plaque composition, and radial wall strain value; and a result feedback module for combining the vulnerable plaque scoring mechanism with the plaque classification detection system to generate coronary artery vulnerable plaque feedback results. The present invention can improve the accuracy of coronary artery vulnerable plaque detection.

The invention discloses a molecular imaging probe targeting an atherosclerosis vulnerable plaque as well as a preparation method and application of the molecular imaging probe, and belongs to the technical field of molecular imaging. The MT1-MMP is used as a potential target for identifying the vulnerable plaque through the dual effects (collagen degradation and lipid metabolism regulation) of the MT1-MMP in the unstable plaque process, the binding capacity of the target ligand is not limited by a carrier, and the target ligand can be popularized to different imaging modes. Meanwhile, on the basis that the target ligand is determined, a contrast agent in a target mode is selected as a carrier, specific groups modified on the surface of the carrier and specific groups modified on the surface of the MT1-MMP are covalently bound, the atherosclerosis-targeted molecular imaging probe is prepared, and the probe has extremely high stability and targeting property; and the retention time is prolonged to a certain extent, and the method has wide application value in the fields of medical diagnosis, drug research and development, biomedical research and the like.

According to the application of the serological biomarker in preparation of the vulnerable plaque diagnostic kit, the serological biomarker comprises sTREM2. Human peripheral blood serum is collected, and the concentration of soluble myeloid cell triggered receptor 2 (sTREM2) in the serum is determined by using an enzyme-linked immunosorbent assay (ELISA) kit or an equivalent immunoassay method, so that early discovery and (dynamic) monitoring of vulnerable plaques are realized. Through verification, the sTREM2 is suitable for being used as a diagnosis and prediction marker of vulnerable plaque related diseases, and guidance is provided for further clinical diagnosis (such as OCT / IVUS) and treatment.

The present invention provides a plaque treatment device, which includes a catheter, a plaque destruction mechanism and a content recovery mechanism; the plaque destruction mechanism is configured to be switched between an execution state and a first storage state; wherein, the plaque destruction mechanism in the first storage state is loaded on the catheter and is used to move along with the catheter; the plaque destruction mechanism in the execution state is used to destroy the wall of the target plaque, and the content recovery mechanism is used to recover the content of the target plaque. With such a configuration, the plaque destruction mechanism can be used to physically destroy the wall of the target plaque, and then the content of the target plaque can be recovered by the content recovery mechanism and will not cause harm along with blood circulation. It is a mechanical treatment method for vulnerable plaques, and its advantage lies in being able to quickly solve the fundamental problem, achieve precise treatment, and achieve the purpose of quickly and thoroughly treating vulnerable plaques.