17 results about "Aortic root" patented technology

Provided are an artificial intelligence AI-based simulation device and method for supporting procedure planning in transcatheter aortic valve implantation. The device receives patient-specific medical images, such as computed tomography data, and generates a three-dimensional (3D) model of the aortic root and native valve. An artificial valve is virtually inserted into the 3D model, and the virtual implantation model is automatically converted into mesh data suitable for Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) analysis. The processor performs CFD / FSI simulations to evaluate hemodynamic changes, structural stresses, and potential device-tissue interactions. Based on the analysis, the system outputs predicted risks of procedure-related complications (including coronary obstruction, annular rupture, paravalvular leakage, and valve deformation) and provides guideline data for selecting valve size, implantation depth, and insertion angle. The disclosed device and method enable accurate, patient-specific prediction and visualization, thereby assisting clinicians in establishing safe and optimized TAVI procedure plans.

A system for guiding prosthetic heart valve procedures is provided that includes a console having a display and a processor and a tubular body supporting pressure sensor. The tubular body is configured to be inserted into a blood vessel (e.g., an artery) and advanced into a heart chamber (e.g., a ventricle). The processor is configured to: (a) receive fluoroscopic image data of a cardiovascular region that includes vascular segment adjacent to the heart (e.g., an aortic root) of a patient; (b) receive pressure signal data from the pressure sensor positioned in the cardiovascular region; (c) determine a marker indicating a location of a device positioning feature based at least in part on at least one of pressure signal data from the pressure sensor and analysis of the fluoroscopic image data; and (d) cause presentation of a user interface on the display that includes the fluoroscopic image and the marker.

The invention belongs to the technical field of medical treatment, and provides a method for predicting long-term relapse of early ventricular ablation based on intracardiac potential spectrums.The method comprises the steps that intracardiac bipolar potentials before and after ablation are collected at a successful ablation target; performing fast Fourier transform on the potential signal to obtain a power frequency spectrum of the potential signal; in the 0-200Hz analysis frequency band, calculating the area under the curve of the 50-200Hz high-frequency component as the integral of the high-frequency component, and calculating the ratio of the integral of the high-frequency component to the total integral of the frequency spectrum to obtain the integral ratio of the high-frequency component; the ratio before ablation and after ablation is calculated respectively, the change value of the ratio is calculated and determined through ROC curve analysis, and the change value exceeding a threshold value is used as a critical value for predicting the low recurrence risk after ablation, time-domain signal analysis is innovated into frequency-domain quantitative analysis, an objective and accurate new index is provided for evaluating the ablation injury quality and predicting prognosis, and the risk of low recurrence after ablation is predicted. The device is especially suitable for ventricular arrhythmia of aorta root origin.

This invention relates to the field of medical image processing and cardiac surgery support technology, and discloses a standardized method for constructing a 3D model of the pediatric aortic valve based on cardiac CTA images. The method includes: acquiring DICOM format pediatric cardiac CTA images and importing them into medical image processing software; identifying eight core anatomical features of the aortic valve based on cross-sectional planes; segmenting and labeling the valve structure layer by layer; performing operations such as cavity filling, thinning, and boundary modification through a 3D view; constructing a 3D model of the aortic root vessel wall; and finally completing the standardized 3D modeling. This invention solves the problems of insufficient spatial resolution and lack of standardization in pediatric aortic valve assessment and modeling in existing technologies, accurately reproducing valve anatomical features, providing preoperative planning and simulation support for surgery, and improving surgical outcomes.

The application discloses an aortic valve bicuspid malformation diagnosis and treatment suggestion generation method and system, relates to the field of intelligent medical treatment, and comprises the following steps: acquiring aortic computed tomography data and bicuspid aortic valve ultrasonic image data of a target patient; constructing an aortic root model according to the aortic computed tomography data and the bicuspid aortic valve ultrasonic image data; performing blood flow dynamics calculation based on the aortic root model by using a machine learning method to obtain blood flow dynamics parameters; and generating a diagnosis and treatment suggestion of the target patient by using a regression model and a clustering algorithm according to the blood flow dynamics parameters. The application improves the accuracy and generation efficiency of the diagnosis and treatment suggestion.

The present application relates to a kind of medical devices, disclose a kind of split assembly aortic valve repair ring, it includes annular repair ring body, repair ring body is by three first tail detachable connection arc ring body (10) is formed, each arc ring body (10) is installed with one can be separated from arc ring body (10) hold valve holder component (2), arc ring body (10) includes ring body (101) and the fabric cover (102) of setting on ring body (101), the both ends of fabric cover (102) can extend to the both ends of ring body (101).The present application provides a three-section aortic valve repair ring, it can be separated and can be assembled into an integral circular repair ring, can effectively solve the problem that aortic valve ring is difficult to implant due to left and right coronary artery stem, can preferably adapt to the particularity and complexity of aortic root structure.

Provided herein is a device for simultaneous intraoperative leak testing and visualisation of a heart valve seat, the device comprising an end cap configured to engage with and to sealingly close an opening of a tubular vascular graft, the end cap comprising a backing portion, a connector portion, a view port, and at least one fluid conduit element, the connector portion comprising a distal end dimensioned for placement inside of the opening, a first fastening element comprising an external thread, a second fastening element comprising an internal thread and configured to be rotated onto the first fastening element, and the external and internal threads are adapted such that the first and second fastening elements are fittingly engaged with the tubular vascular graft scalingly secured therebetween by less than one rotation of the second fastening element around the outer circumference.

The invention discloses an on-site installation type full endoluminal repair system for treating Stanford A-type dissection. The on-site installation type full endoluminal repair system comprises an ascending aorta stent-type blood vessel (ascending main assembly), a coronary artery branch covered stent-type blood vessel (coronary artery assembly) and a self-expanding aorta interventional valve (valve assembly) capable of being installed on site according to needs. The lifting main assembly is divided into a lifting main section and a sinus tube section, the lifting main section is a covered stent, the head end is anchored to an ascending aorta, the tail end is transited to be a concave sinus tube section, embedded branches are arranged at the two ends in a cavity of the covered stent in front of the concave part, openings are formed in the sinus tube section, and a metal bare stent is arranged outside the sinus tube section. The coronary artery branch covered stent is a conical small-caliber covered stent, the near end of the coronary artery branch covered stent is connected with an embedded branch of the lifting main assembly, and the caliber of the far end varies due to left and right coronary arteries. The graft may engage the aortic valve component as desired. The invention is specially used for treating the Stanford A-type dissection lesion of the aorta root, can repair the aortic lesion, reconstruct the bilateral coronary artery and connect the aortic valve as required, and can be produced in batches for emergency operations.

The application belongs to the technical field of biological medicine, and discloses a gene therapy drug targeting IL-17D and application thereof in preventing and treating atherosclerosis. The application screens a shRNA sequence targeting mouse IL-17D, constructs an AAV-F4 / 80-shRNA IL-17D recombinant adeno-associated virus vector, and obtains a high-titer IL-17D knockdown AAV preparation. The shRNA provided by the application knocks down the expression of the IL-17D gene, is delivered by an AAV vector, specifically knocks down the expression of IL-17D in macrophages, reduces the plaque load of the aorta and the aortic root and the plasma inflammation level, plays an anti-atherosclerosis role by inhibiting the inflammatory response and promoting M2 polarization, is clear in targeting, effectively reduces the risk of lipid metabolism disorder or other systemic effects caused by systemic IL-17D inhibition, has good anti-inflammatory effect, has a safety advantage, and has potential clinical application value.

One or more systems, structures, and / or methods are provided. An aortic root repair system may include a first structure including a first tube, a ring extending circumferentially along the first tube and configured to be coupled to ventricular tissue of a patient, and a first plurality of protrusions, extending from the first tube. The first plurality of protrusions may include a first protrusion configured to be coupled to first aortal tissue of an aorta of the patient, and a second protrusion configured to be coupled to second aortal tissue of the aorta. The aortic root repair system may include a second structure including a second tube, and a second plurality of protrusions, extending from a first side of the second tube, including a third protrusion configured to be coupled to the first protrusion and the second protrusion.

The invention relates to a computer-implemented method for real-time classification of medical images (3) to analyze whether each image of a plurality of medical images (3) is captured at a body catheter (10), in particular an aortic root (11), under the influence of a contrast agent (14). The method comprises the steps of: continuously receiving a plurality of medical images (3) in real time using an input interface, processing the plurality of medical images (3) using a processing unit (4) operably connected to the input interface, thereby determining a probability that the medical image (3) is captured under the influence of a contrast agent (14) based on the medical image (3) and a classification model stored in a storage unit, a processing unit (4) is used to generate, on the basis of the probability, a classification of whether the medical image (3) is captured under the influence of the contrast agent (14), which classification is transmitted in real-time to an output interface.

The invention belongs to the technical field of biological medicines, and relates to application of 3-bromopyruvic acid in preparation of medicines for treating atherosclerosis or complications thereof, and the medicines are medicines for treating atherosclerosis and / or medicines for preventing atherosclerosis complications. The 3-bromopyruvic acid reduces the volume of aorta root plaques, reduces aorta lipid deposition and relieves inflammation in the treatment of atherosclerosis diseases by inhibiting the interaction of sTREM2-HSP90 beta proteins, and is expected to solve the problem that the existing atherosclerosis clinical treatment medicines cannot effectively solve the risk of residual inflammation.

The invention relates to a parameter determination method and device and a storage medium, and the method comprises the steps: obtaining a cardiovascular three-dimensional diagram of a to-be-detected object; inputting the cardiovascular three-dimensional diagram into a first segmentation model to obtain a first mask diagram; wherein the first mask pattern comprises a first voxel value corresponding to the aorta, a second voxel value corresponding to the left ventricle and a third voxel value corresponding to the coronary artery; determining an aorta root center line of the to-be-detected object according to the first mask pattern; and inputting the aorta root center line and the first mask map into a BAV phenotype classification model to obtain a BAV phenotype classification result of the object to be detected and a segmentation map of the aortic sinus.

Disclosed in the present invention is a polyester biological patch capable of being used for aortic root enlargement. The polyester biological patch is a polyester fabric attached with a collagen fiber coating. The collagen fiber coating is formed by subjecting collagen fibers to a first chemical cross-linking and a second chemical cross-linking. The first chemical cross-linking involves chemically cross-linking the collagen fibers to obtain collagen fibers that have undergone the first chemical cross-linking. The second cross-linking involves attaching the collagen fibers that have undergone the first chemical cross-linking to the internal voids of the polyester fabric and the surface of the polyester fabric, thus forming the collagen fiber coating by means of cross-linking. Also disclosed in the present invention is a preparation method for the polyester biological patch. The polyester biological patch provided in the present invention features a stable coating that is not easily detached, low permeability, resistance to degradation, good biocompatibility, good compliance, and excellent suture strength.

The present invention relates to a system, a method, a computer program and a computer program product for automatically assessing a risk of paravalvular leaks after a clinical intervention for implanting a prosthetic cardiac valve in a patient according to the independent claims. A system (100) for automatically assessing a risk of paravalvular leaks after a clinical intervention for implanting a prosthetic cardiac valve in a patient comprises an input interface (101) for obtaining data and a computing unit (102). The computing unit (102) is adapted to obtain first input data (201) acquired before the start of the clinical intervention via the input interface (101), the first input data comprising image data of a patient and comprising image data of a region of interest including the aortic root, preferably CT image data. The computing unit (102) is preferably adapted to pre-analyse the first input data. The computing unit (102) is adapted to classify the patient into one of two main classes of likelihood of paravalvular leaks on basis of the first input data.

The present invention relates to a system, a method, a computer program and a computer program product for automatically assessing a risk of paravalvular leaks after a clinical intervention for implanting a prosthetic cardiac valve in a patient according to the independent claims. A system (100) for automatically assessing a risk of paravalvular leaks after a clinical intervention for implanting a prosthetic cardiac valve in a patient comprises an input interface (101) for obtaining data and a computing unit (102). The computing unit (102) is adapted to obtain first input data (201) acquired before the start of the clinical intervention via the input interface (101), the first input data comprising image data of a patient and comprising image data of a region of interest including the aortic root, preferably CT image data. The computing unit (102) is preferably adapted to pre-analyse the first input data. The computing unit (102) is adapted to classify the patient into one of two main classes of likelihood of paravalvular leaks on basis of the first input data.

A cutting device is provided to cut stenosed aortic valve leaflets using a percutaneous approach. The device has a central catheter that moves over a guide wire to pass into a patient's aortic valve. Cutting wires are deployed from the catheter and have high speed rotating cutting surfaces that cut into the stenosed tissue. A plurality of guidewires outward from the cutting wires serve to center and position the cutter within the patient's aortic valve. In an alternative embodiment, a shield is deployed between the cutting wires and the patient's aortic valve to prevent the cutting wires from cutting into the aortic root or aortic sinus wall.