73 results about "Aortic rings" patented technology

A plain-scan CT image aortic valve calcification segmentation system based on space-time priori comprises a position priori information extraction module, an encoding module and a decoding module, after an aortic image is automatically segmented in an off-line stage to obtain a segmentation mask, attention weights are generated through preprocessing and encoding, and the aortic valve calcification is subjected to image segmentation; and inputting the aorta image serving as a training set into a segmentation model comprising a position prior information extraction module, a coding module and a decoding module, and performing real-time image segmentation through the trained segmentation model in an online stage. According to the method, calcification point features of different sizes and forms are captured through multi-scale prediction; the aorta segmentation prior is introduced, the sensitivity and positioning precision of the model to aortic valve calcification are improved, coronary artery opening sequence time sequence information is introduced, a double-branch structure is adopted to adapt to structural differences, accurate positioning and recognition of aortic valve calcification lesions are achieved, and the false detection rate and the omission ratio are effectively reduced.

An embodiment includes a system comprising: a backbone; a first polyurethane shape memory polymer (SMP) foam on the backbone; a second polyurethane SMP foam on the backbone; a third polyurethane SMP foam on the backbone and between the first and second SMP foams. Other embodiments are described herein.

The application provides an aortic covered stent, an in-situ fenestration instrument and a covered stent manufacturing method, and relates to the technical field of medical instruments.The aortic covered stent comprises a stent body and a covering film covering the stent body, the covering film in the fenestration area is divided into multiple layers and at least comprises an inner layer covering film and an outer layer covering film, and the inner layer covering film and the outer layer covering film are arranged in layers from the inner layer to the outer layer. The inner layer covering film and the outer layer covering film can adopt a lower weaving density, are easy to be punctured to break the film and expand the opening, and a sealing ring can be arranged between the inner layer covering film and the outer layer covering film; the branch stent, the inner layer covering film and the outer layer covering film are attached through surface contact from the inner layer to the outer layer, and the sealing ring is pressed between the inner layer covering film and the outer layer covering film, so that the sealing property is improved and the risk of internal leakage is reduced.

The application discloses medical use of gelated cells loaded with sulfonated chitosan in treatment of atherosclerosis, and belongs to the technical field of biological medicine. The gelated cells loaded with sulfonated chitosan take macrophages as host cells, and intracellular cross-linking forms a photocrosslinking hydrogel network composed of methacrylated hyaluronic acid and sulfonated chitosan. The gelated cells completely retain cell membrane structure and membrane surface protein expression, lose the proliferation ability, and have excellent blood lipid selective adsorption capacity and foam cell lipid metabolism regulation capacity. In-vivo and in-vitro experiments prove that the gelated cells can significantly reduce blood lipid levels of atherosclerosis model animals, reduce aortic plaque area, and have good biological safety, thereby providing a new strategy and candidate drug for prevention and treatment of atherosclerosis, and having a good clinical application prospect.

The invention discloses gamma-aminobutyric acid and application of a pharmaceutical composition thereof in preparation of drugs for preventing or treating aortic dissection and aortic aneurysm. The invention provides the application of gamma-aminobutyric acid in preparation of drugs for preventing or treating aortic dissection for the first time, and verifies the application of gamma-aminobutyric acid in preparation of drugs for preventing and / or treating aortic dissection and aortic aneurysm by inhibiting endothelial cell dysfunction; the application of gamma-aminobutyric acid in preparation of drugs for preventing and / or treating aortic dissection and aortic aneurysm by inhibiting expression of c-FOS to reduce vascular endothelial cell injury is verified; the application of gamma-aminobutyric acid in preparation of drugs for preventing and / or treating aortic dissection and aortic aneurysm by reducing infiltration of macrophages is verified.

The invention provides a biomarker composition and an application thereof. The biomarker composition comprises the following proteins: MMP12, UMOD, HbA1c, FGF9, NINJ1 and PRSS8. According to the biomarker composition provided by the invention, through combination of matrix metalloproteinase 12, uromodulin, glycosylated hemoglobin, FGF9, NINJ1 and serine protease 8, the problem of lack of a specific marker for aortic wall structure damage in the prior art is solved.

The invention discloses an application of an NRF2 signal channel activator in preparation of a medicine for preventing or treating hyperuricemia-related atherosclerosis, relates to the technical field of medicines, and particularly relates to an application of the NRF2 signal channel activator in preparation of a medicine for preventing or treating hyperuricemia-related atherosclerosis. The NRF2 signal channel activator is used for up-regulating NRF2 protein expression or enhancing transcriptional activity of the NRF2 protein; the NRF2 signal channel activator is used for up-regulating expression of a downstream target gene SLC7A11 and / or GPX4 so as to inhibit ferroptosis of hyperuricemia aortic macrophages; the level of glutathione (GSH) in serum is increased; the malondialdehyde (MDA) and / or iron ion (Fe < 2 + >) level in serum is reduced; nRF2 signal channel activation and macrophage ferroptosis inhibition are associated, and the NRF2 signal channel is applied to prevention and treatment medicines for hyperuricemia-related atherosclerosis, so that development of specific treatment medicines for patients suffering from hyperuricemia-related atherosclerosis is facilitated.

The application discloses an aortic dissection identification method and related device, which can be applied to the technical field of deep learning, extracts local features of a to-be-identified heart ultrasound image, and the local features are aortic region features. The local features of the to-be-identified heart ultrasound image are input into a trained dissection classification model to obtain a classification result output by the dissection classification model, and the classification result is used to indicate whether an aortic dissection exists in the to-be-identified heart ultrasound image. A support set at least includes local features of a first type of heart ultrasound image, the first type of heart ultrasound image is a heart ultrasound image with an aortic dissection, and a classification label is a classification result artificially annotated to indicate whether an aortic dissection exists. The classification accuracy of the dissection classification model trained based on the feature similarity between the local features of the to-be-identified heart ultrasound image and the local features of the heart ultrasound image with the aortic dissection is high, and thus, the classification result accuracy is improved.

The invention discloses pharmaceutical application of RNA helicase DHX8, including application of the RNA helicase DHX8 in aortic dissection diagnosis, treatment and drug development. It is found for the first time that DHX8 is significantly down-regulated in aortic dissection patients, animal models and vascular endothelial cells, and overexpression of DHX8 can effectively up-regulate endothelial cell tight connection related genes and repair the endothelial barrier function. The Si DHX8 is used for transfecting human umbilical vein endothelial cells (HUVECs), and the DHX8 is knocked down, so that the tight connection gene OCLN is obviously reduced; when the OE DHX8 plasmid is used for transfecting the HUVECs and overexpressing the DHX8, the tight connection genes OCLN, JAM-A, ZO-1 and VE-cadherin are found to be obviously up-regulated. The DHX8 is used as a new target for aortic dissection diagnosis and treatment, and a detection reagent, a gene therapy vector and an agonist drug of the DHX8 have important clinical transformation values.

The present application provides an aortic dissection segmentation method and system based on deep reinforcement learning, the method comprising: acquiring aortic dissection slice data, and performing feature extraction using a feature extraction network; splicing each aortic dissection slice data with its corresponding aortic dissection slice feature to obtain a multi-dimensional image data set; constructing an aortic dissection positioning task using a deep reinforcement learning agent and the multi-dimensional image data set; setting an expansion strategy of a field of view window, an action of a positioning window and a reward function, training the aortic dissection positioning task using a DQN algorithm; and finally positioning the aortic dissection of the aortic dissection slice data to be segmented using the optimal deep reinforcement learning agent, and segmenting the aortic dissection according to the positioning result; the present application can reduce the proportion of redundant information of the slice, effectively improve the accuracy of the segmentation result, and improve the accuracy and stability of the positioning window.

The application belongs to the technical field of biological medicine, and particularly relates to application of SFRP1 in treatment of aortic aging drugs. SFRP1 can induce generation of vascular organoids, significantly antagonize vascular smooth muscle cell senescence induced by angiotensin II and bleomycin, enhance vascular smooth muscle cell activity, improve cell oxidative stress ability, reduce cell beta-galactosidase activity, reduce intracellular calcium deposition level, reduce phenotype conversion and reduce extracellular matrix remodeling. Taxifolin can significantly improve accelerated aortic aging in VSMC-specific Sfrp1 knockout mice. SFRP1 and / or Taxifolin both play an anti-aortic aging role, prevent and / or treat aortic aging related diseases. SFRP1 can be used as a screening target to screen drugs against cell senescence damage.

The invention discloses a B-type aortic dissection whole course intelligent management system based on multi-modal fusion and biomechanics. The system comprises a multi-modal image preprocessing and reconstruction module, a rapid biomechanical simulation and operation planning module, an intraoperative 2D-3D image fusion navigation module and a postoperative outcome prediction and closed loop follow-up visit module. According to the invention, a functional quantitative evaluation system is created for the first time, and the limitation of traditional morphological diagnosis is broken through; the calculation efficiency and clinical real-time performance are extremely high, and the problem that traditional simulation cannot fall to the ground is solved; the stent-derived complications are accurately predicted, and the operation strategy is optimized; an eye perspective function is endowed in the operation, and the operation difficulty and radiation injury are reduced; a whole-course closed-loop learning system is constructed, and continuous evolution of diagnosis and treatment precision is realized; and high-fidelity automatic modeling solves the problem of complex lesion segmentation.

The invention belongs to the technical field of biological medicine and molecular biology, and particularly relates to application of LGR5 in diagnosis and treatment of vascular calcification. Experiments prove that the key effect of the LGR5 in aortic smooth muscle calcification is found for the first time, it is indicated that the LGR5 is a new target spot for regulating and controlling vascular calcification, meanwhile, vascular calcification can be accurately inhibited through knockdown / knockout of the specific Lgr5 gene of vascular smooth muscle, and meanwhile, vascular calcification can be accurately inhibited through knockout / knockout of the specific Lgr5 gene of the vascular smooth muscle. According to the application disclosed by the invention, the mechanism that the Lgr5 regulates and controls the osteogenic differentiation of the vascular smooth muscle cells through the Wnt / beta-catenin signal channel is preliminarily clarified, and a clear action target and a theoretical basis are provided for drug research and development; the invention provides a new strategy for treatment of diseases such as atherosclerosis and the like, and has a wide clinical application prospect.

The invention discloses an intelligent aortic dissection diagnosis method and system based on sublimation AI and physical perception deep learning, and belongs to the technical field of intelligent medical instruments. The method comprises the following steps: a mercuration AI processor controls a DDS module to generate frequency sweep excitation and synchronously collects a response signal of a magnetoelastic sensor; performing adaptive denoising reconstruction on the signal by using a VMD algorithm to obtain an effective signal with a high signal-to-noise ratio; performing spectral analysis on the signal to extract physical characteristics, and performing double-parameter temperature compensation by combining temperature and amplitude; the calibrated features and signals are input into a pre-trained PG-ANet for double-flow fusion reasoning, and a D-dimer concentration predicted value and a risk level are output; and evaluating and predicting the confidence coefficient based on the magnetoelastic quality-frequency linear physical model, and if the confidence coefficient is insufficient, dynamically adjusting the excitation parameter and remeasuring until a high-credibility diagnosis result is output. According to the invention, the problems of difficult signal extraction, large temperature interference, poor generalization of the AI model and physical incredibility of the prediction result under the condition of few samples in the blood high-viscosity environment are solved.

The invention discloses a CT aorta robustness three-dimensional segmentation method and device based on deep learning, and relates to the technical field of medical image processing, and the method comprises the steps: extracting an aorta slice sequence frame by frame; carrying out linear interpolation and thresholding on the extracted probability graph; setting the initial segmentation mask of the current slice as an initialization prompt of a medical video segmentation model with a memory mechanism; for the initial slice image, calling an initialized memory state function through a medical video segmentation model, generating an initial segmentation result of the initial slice, and encoding the initial segmentation result into an initial memory state; calling a propagation tracking state function to automatically predict an aorta original mask of a current slice through a medical video segmentation model by using memory states established in previous several frames of slices and a current slice image, and obtaining a prediction mask; and carrying out weighted fusion and three-dimensional reconstruction on the prediction mask and the preliminary segmentation mask. According to the method, full-automatic and robust three-dimensional segmentation of the CT aorta is realized.

The invention discloses an electromagnetic direct-driven gas circuit combination device for assisting in counterpulsation of a balloon in an aorta, and relates to the technical field of medical apparatuses and instruments. The device comprises a shell, and a balloon driving device, a helium injection device and a main control circuit are arranged in the shell. The helium filling device is responsible for filling helium into the balloon driving device. And the balloon driving device is responsible for filling helium into the balloon and extracting the helium, so that the balloon is switched between a bulging state and a contraction state. The gas circuit detectors are attached to the two devices, are arranged at key gas circuit nodes to monitor gas circuit states, convert the gas circuit states into electric signals and then transmit the electric signals to the main control circuit so as to judge the operation state of the whole device. The permanent magnet piston has the advantages of being low in power consumption, simple in structure, small in overall size and convenient to carry and use, the driving structure drives the permanent magnet piston through a magnetic field generated by electrifying a conductive coil, the driving mode is direct, speed is high, electric energy conversion efficiency is high, and power consumption is small.

The invention belongs to but is not limited to the technical field of medical instruments, and particularly relates to aortic dissection blocking forceps capable of being adjusted in multiple degrees of freedom, comprising a multi-joint linkage adjusting module, which has a core of a forceps arm composed of at least three lockable rotary joints, realizes multi-dimensional posture adjustment of a forceps body, and adapts to different blood vessel trends; the forceps head self-adaptive rotating module is connected to the joint at the farthest end, 360-degree continuous rotation of the forceps head is achieved, and it is ensured that the clamping face of a jaw is perpendicular to the longitudinal axis of the blood vessel; the accurate control and positioning module is integrated with an angle fine adjustment knob and an ergonomic handle, and real-time and accurate posture fine adjustment and stable holding in an operation are achieved; and the safe locking and quick release module is linked with a joint locking mechanism and a handle quick release button to realize joint locking and unlocking and quick clamp loosening under emergency conditions.

The invention discloses a biomarker for aortic dissection detection and an application of the biomarker. The biomarker is one or more of MDK, NTN1, CCL21, LIPC, DNASE1L3, TFPI2, CTSG, HAMP, CXCL14, PLA2G2A, SCUBE1, GZMK, HP1BP3, SRP14 and TOP1. The biomarker is obtained by screening plasma of a patient with aortic dissection through plasma proteomics, and shows relatively high sensitivity and specificity. ELISA verification proves that the biomarker can be used as an early diagnostic biomarker of the aortic dissection, and can also be used as one of indexes for evaluating the disease severity of AD patients, so that a new direction is provided for clinical early diagnosis and long-term prognosis evaluation of the aortic dissection.

The embodiment of the invention provides an aortic dissection risk prediction method, and belongs to the technical field of medical care informatics, and the method specifically comprises the steps: obtaining the Fourier transform infrared spectrum, Raman spectrum and clinical data of a serum sample of a to-be-detected object; preprocessing the Fourier transform infrared spectrum and the Raman spectrum, and standardizing clinical data; respectively extracting multi-scale features of the infrared spectrum and the Raman spectrum through a multi-scale feature extraction module; inputting the infrared and Raman spectrum features of the same scale into a cross-modal fusion module to obtain enhanced cross-modal features; performing information interaction through a multi-scale interaction module to obtain unified feature representation; and outputting a disease risk prediction result or a prognosis risk prediction result by using a classification and discrimination module based on the unified feature representation and the clinical data. According to the scheme, the stability and accuracy of disease risk prediction and prognosis risk prediction are improved.

The utility model relates to a kind of film-covered stents, film-covered stent includes main body support and branch support, branch support includes first end and second end, first end and second end are two ends of relative arrangement, first end is connected to the side of main body support, and the lumen of branch support is connected with the lumen of main body support, branch support includes branch support member and branch film, branch film is covered on branch support member, branch support member includes elastic member that spirally extends from first end to second end, elastic member can be compressed along the axial direction of branch support, film-covered stent further includes at least one ring buckle, at least one ring buckle is set to the end of branch support away from main body support.The utility model provides film-covered stent is convenient to superselect branch vessel, and after superselection, branch support can be in natural expansion state along the axial direction of branch support, so as to ensure that the external small stent connected to branch vessel has certain anchoring length, and branch support does not occupy the space of aortic lumen.

The invention discloses application of an extracellular matrix in preparation of an anti-vascular aging product, and belongs to the field of biological medicine. The acellular extracellular matrix provided by the invention is prepared by taking umbilical artery vascular smooth muscle cells as a material and carrying out water swelling and 0.5% Triton X-100 treatment on the umbilical artery vascular smooth muscle cells. The invention also provides application of the acellular matrix in preparation of drugs for inhibiting blood vessel and cell senescence. Experimental results show that after aortic vascular smooth muscle cells overexpressing Pelamin A are inoculated to the acellular matrix and cultured, the aortic vascular smooth muscle cells are distributed in a concentrated manner, the number of the aortic vascular smooth muscle cells is increased, the form of the aortic vascular smooth muscle cells is remarkably improved, the expression of X-GAL in the cells is reduced, and the expression quantity of Ki67 is increased; therefore, the acellular extracellular matrix provided by the invention can be used for effectively regulating aortic vascular smooth muscle cell senescence induced by Pelamin A accumulation. The invention provides a new biological material for inhibiting vascular aging and cell aging.

The invention discloses an application of a gene for coding LRP1-beta chain oligopeptide as a target in screening / preparing a medicine for treating aortic dissection, an application of a reagent for inducing overexpression of the LRP1-beta chain oligopeptide in preparing the medicine for treating the aortic dissection, and an application of the LRP1-beta chain oligopeptide as a biomarker in preparing an aortic dissection diagnostic reagent. Experiments prove for the first time that the LRP1-beta chain oligopeptide can inhibit phenotypic transformation of vascular smooth muscle cells and inflammatory infiltration of macrophages by down-regulating expression of OPN, alleviate inflammatory response and relieve or inhibit occurrence and development of aortic dissection, provides a new direction and thought for treatment of aortic dissection, and has broad application prospects in treatment of aortic dissection. The compound is expected to be applied to research and development of new drugs for treating aortic dissection

The invention discloses a biomarker related to aortic dissection, a kit, a system and application thereof, and relates to the technical field of biological medicine. The biological marker related to the aortic dissection comprises a second biological marker; the second biomarker is used for predicting the clinical death risk of aortic dissection patients, and the second biomarker comprises SYTL1 protein, B2M protein, LYVE1 protein, TTR protein, PRSS2 protein, CSTF1 protein and H2BC5 protein. The plasma-based protein biomarker capable of predicting the mortality risk of the aortic dissection patient is successfully screened out, the pathogenesis of the disease can be explored easily, and the method has important significance on efficient, accurate and low-cost diagnosis of the aortic dissection patient.

This invention relates to the field of finite element stress calculation technology, specifically to an aortic stress calculation system based on finite element analysis. In this invention, multiple sets of aortic displacement vectors and element stress vectors are spliced ​​into a response matrix according to the sequence of nodal degrees of freedom and element numbering. The Gram-Schmidt orthogonalization method is introduced to process the retained vectors, compressing the directional coincident components and linearly correlated components, resulting in stronger stability of the reduced-order basis space and smoother conversion of high-dimensional discrete equations to low-dimensional expressions. The Newton-Raphson algorithm is introduced in the path state update stage, where load step difference, nodal displacement increment, and integral point stress tensor are continuously recorded. The path turning state and load propagation form are adjusted synchronously. Facing high internal pressure, large deformation, and nonlinear response scenarios, peak tracking continuity is stronger, the frequency of solving repeated integral models is reduced, the high-risk area of ​​the aortic wall is more concentrated, and the numerical support for scheme comparison, parameter scanning, and risk pre-assessment is more sufficient.

The utility model belongs to the technical field of medical teaching appliances, and particularly relates to an aortic dissection inflation model for teaching, which comprises a base, a transparent plate is arranged on the base, and a simulation inner membrane is arranged on one side of the transparent plate. A first air bag, a second air bag and a third air bag which are sequentially connected and mutually spaced are arranged on the surface of the simulation inner film, the simulation inner film, the first air bag, the second air bag and the third air bag are all of a half-section structure, and an air supply device is arranged in the base; the first air bag, the second air bag and the third air bag can be selectively inflated through the air supply device arranged in the base, so that various lesion types of the aortic dissection are simulated. The method enables the teaching process to be more vivid, and helps students to form deeper memory. Meanwhile, the simulated inner membrane and each air bag adopt a half-section structure design and are matched with a transparent plate, so that students can intuitively observe the internal structure of the inner membrane, and the teaching activity is more vivid and vivid.

The application discloses an aortic dissection identification model construction method and identification method and related devices, and relates to the technical field of artificial intelligence, and comprises the following steps: training a teacher network model by using an echocardiogram data set of non-aortic dissection containing a large number of data samples, so that the trained teacher network model has good generalization ability. The data samples in the echocardiogram data set of the aorta are respectively input into the trained teacher network model and a student network model, the model parameters of the student network model are adjusted according to the difference between the trained teacher network model and the student network model in a preset feature recognition result and the difference between the recognition result of the student network model and a label true value, the student network model can learn the generalization ability of the teacher network model, the student network model can be trained based on a small amount of aortic dissection data samples, and the accuracy of the student network model in identifying the aortic dissection can also be ensured.

The application discloses application of securinine in preparation of a drug for preventing and / or treating aortic dissection, and securinine can significantly reduce the incidence of aortic dissection caused by BAPN, and securinine can significantly reduce the expression levels of XAF1, Cleved-caspase3 and Cleved-caspase7 proteins, and can effectively inhibit the apoptosis of mouse aortic endothelial cells.

The present application relates to the technical field of risk early warning, in particular to an aortic disease risk early warning system based on big data, comprising a joint vector construction module, a distance discriminant analysis module, a misplacement offset identification module, a gradient mutation determination module and a joint risk early warning module. The present application effectively identifies the pathological state induced by electrolyte abnormalities by constructing a double-factor variation vector and combining distance discriminant analysis logic, uses multi-parameter peak position offset analysis and gradient mutation determination mechanism to deeply mine the dynamic misplacement characteristics and asynchronous change law of physiological parameters in the time dimension, constructs a misplacement matrix overlap density value set and performs matching operation with a high-risk mode, realizes accurate quantitative evaluation of the evolution trend of aortic diseases, overcomes the limitations of single static index analysis, enhances the ability to capture early hidden risk signals, and improves the sensitivity and reliability of the early warning system.

A pseudo-twin self-adaptive aortic dissection segmentation method and system across centers CTA, the method comprising: acquiring standardized three-dimensional CTA volume data; generating an aortic center of interest volume based on the standardized three-dimensional CTA volume data and aortic anatomical prior; performing overlapping three-dimensional block sampling within the aortic center of interest volume to generate a plurality of three-dimensional image blocks that overlap each other; inputting the three-dimensional image blocks into a three-dimensional segmentation network; constructing a block body joint loss to train the three-dimensional segmentation network; performing source domain style alignment on a low-frequency amplitude spectrum of a target domain CTA image through a Fourier style transformation; constructing a pseudo-twin self-adaptive network, including a source domain reference branch and a target domain adaptive branch; inputting the style-aligned target domain CTA image into the pseudo-twin self-adaptive network for prediction; fusing the prediction results of the source domain reference branch and the target domain adaptive branch to output three-dimensional segmentation results of the true lumen and the false lumen.

The present invention belongs to the field of biological detection, and specifically relates to a protein antigen combination for aortic dissection detection and the use thereof. The specific technical solution comprises an antigen composition comprising an FBN2 protein fragment and an SPEG protein, wherein the FBN2 protein fragment has an amino acid sequence as shown in SEQ ID NO: 1, and the SPEG protein has an amino acid sequence as shown in SEQ ID NO: 5. Provided are a protein antigen and a specific combination of antigens, which, by means of detecting autoantibodies corresponding thereto, can be used for the detection or diagnosis of aortic dissection, are particularly suitable for risk assessment and prediction prior to the onset of aortic dissection, and can be further prepared into a related reagent or kit on the basis of requirements.