32 results about "Aortic root" patented technology

The invention relates to the technical field of medical image analysis, in particular to a left ventricular compliance assessment method and system based on medical image.The method comprises the following steps that a planar three-dimensional coordinate from a left ventricular apex to a mitral annulus is obtained through a CT image, a thin-plate spline interpolation algorithm is called to establish a left ventricular long-axis model, the ultrasonic end-stage internal diameter is obtained synchronously, and a left ventricular compliance assessment result is obtained. And inputting the left greenhouse long axis model and the ultrasonic diastole end-stage inner diameter into an Euclidean distance calculation function to generate a left greenhouse length-diameter ratio. According to the method, a left greenhouse long axis model is constructed by integrating CT three-dimensional coordinates and ultrasonic inner diameter, the length-diameter ratio is calculated by combining Euclidean distance, point cloud registration is carried out, a myocardial wall area is segmented, local deformation is quantized by utilizing Gaussian curvature gradient, a correction factor is generated by inputting a radial basis function network, and a parameter coupling mechanism is established by fusing an aorta root angle. And optimizing the weight of the pressure-volume equation, establishing a dynamic model, and realizing a quantitative evaluation system of spatial heterogeneity and time continuity.

The invention provides a close-range valve-pump integrated ventricular auxiliary circulating pump device, and relates to the technical field of heart blood pumps, the close-range valve-pump integrated ventricular auxiliary circulating pump device comprises a ventricular auxiliary circulating pump device, the ventricular auxiliary circulating pump device is connected in series with a heart artery tube, and the ventricular auxiliary circulating pump device is arranged in a heart chamber and below an aortic valve or a pulmonary artery valve; the ventricular auxiliary circulating pump device comprises an axial flow channel and a power part located in the axial flow channel. The upper end of the axial flow channel is provided with a radially outward turnup part, the turnup part faces the lower surface of the aortic valve or the pulmonary valve and is sewn at the aortic root or the pulmonary artery root, the turnup part serves as a mounting plane, and the power part is provided with an impeller rotating in the axial direction of the axial flow channel. The plane of the outlet of the impeller and the plane where the flanging part is located are the same plane, and direct adjacent maximum pressure of the ventricular auxiliary circulating pump device is provided for the aortic valve or the pulmonary valve.

The present invention provides a close-range valve pump integrated ventricular assist circulation pump device, which relates to the field of cardiac blood pump technology and includes: a ventricular assist circulation pump device, which is connected in series with the cardiac artery tube, and the ventricular assist circulation pump device is arranged in the ventricle and below the aortic valve or the pulmonary valve; the ventricular assist circulation pump device includes an axial flow channel and a power unit located in the axial flow channel; the upper end of the axial flow channel is provided with a radially outward flange portion, the flange portion faces the lower surface of the aortic valve or the pulmonary valve and is sutured to the aortic root or the pulmonary artery root, the flange portion serves as an installation plane, the power unit has an impeller rotating in the axial direction of the axial flow channel, and the impeller outlet plane is in the same plane as the plane where the flange portion is located, providing the ventricular assist circulation pump device with a maximum pressure directly adjacent to the aortic valve or the pulmonary valve.

The invention belongs to the technical field of medical instruments, and particularly relates to a full-catheter aortic root repair system and an implantation method.The full-catheter aortic root repair system comprises an aortic valve ring, an arch-shaped cambered surface is arranged on the upper surface of the aortic valve ring, a through hole is formed in the upper surface of the arch-shaped cambered surface, and a branch vein frame is fixedly installed in the through hole in the top of the arch-shaped cambered surface; the grid end of the frame body, the kidney-shaped frame block and the aortic valve ring are tightly connected, the positioning side lugs and the branch pulse frame are cooperatively positioned, it is ensured that the system stably fixes and supports valve leaflets at the root of the aorta to be matched with the deformation cavity A, normal aortic valve opening and closing can be accurately simulated, one-way flow of blood is guaranteed, and the branch pulse frame can be accurately aligned with a coronary artery opening; meanwhile, during the operation, the shape of the containing membrane flap can be adjusted through angiography monitoring in combination with a control silk thread, accurate covering and sealing of a lesion area are achieved, complications such as perivalvular leakage are effectively reduced, and the treatment effect of aorta root diseases and long-term prognosis of patients are remarkably improved.

The invention relates to a computer-implemented method (100) for generating patient- specific templates of aortic leaflets comprising: - generating (104) a 3D model from digital images (102) of a native aortic root and aortic leaflets of a patient; - generating (106) 3D neo-leaflets models by simulating in silico aortic leaflet neocuspidization from the 3D model with parameters of developable coaptation surfaces and of non-developable load-bearing surfaces of aortic leaflets; - realizing (108) a 2D surface flattening of the coaptation surfaces of the 3D neo- leaflets models; - realizing (110) a 2D surface flattening of the load-bearing surfaces of the 3D neo- leaflets models; - merging (112) a 2D coaptation surface with a 2D load-bearing surface for each neo- leaflet model; and - generating (114) a patient-specific template for each aortic leaflet.

The present disclosure generally relates to implantable medical devices, and, in some embodiments, to a prosthetic aortic implant. Such implantable devices may be useful in the treatment of acute aortic dissections (AADs). related systems and methods are also provided. In some embodiments, the prosthetic aortic implant comprises an expandable support structure and at least a first portion sized and configured to be positioned within an ascending portion of a native aorta of a subject. In some embodiments, the first portion comprises a non-porous layer and a porous layer. In some embodiments, the first portion is sized and configured to engage an aortic root of the native aorta. In some embodiments, the prosthetic aortic implant is designed and configured to engage with and / or receive an aortic valve implant.

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.

The invention relates to the field of medicine application of organic compounds, in particular to application of hematoxylin A in preparation of medicine for treating atherosclerosis. Animal experiments show that the hematoxylin A can effectively reduce TC, TG and LDL-C levels of AS mouse serum, increase the HDL-C level of AS mouse serum, relieve aortic pathological change and inflammatory cell infiltration of AS mouse, reduce the area of aortic lipid plaque and the area of aortic root lipid plaque of AS mouse, effectively delay the pathological change process of AS mouse, and improve the curative effect of AS mouse. Therefore, the hematoxylin A has a relatively good treatment effect on the atherosclerosis. Therefore, the hematoxylin A can be used for preparing the medicine for treating the atherosclerosis.

The invention discloses a transcatheter aorta root covered stent system, and belongs to the field of covered stents.The transcatheter aorta root covered stent system comprises a catheter and a guide wire inserted into the catheter, a supporting mechanism is installed on the surface of the guide wire, a chimney mechanism is installed on the surface of the supporting mechanism, and a protection mechanism is installed in the chimney mechanism; through cooperative use of all the devices, the extrusion plate is pulled to extrude the elastic block, so that the elastic block deforms and is tightly attached to the hollow cylinder, the hollow cylinder is pushed out of the covered stent assembly, the hollow cylinder deforms and resets through the temperature in the body of a patient, and after it is guaranteed that the aorta true cavity is smooth, the hollow cylinder is reset. The covered stent assembly is pushed to be connected to the surface of the hollow cylinder in a sleeving mode and attached to the inner wall of the coronary artery opening, so that circulation of the aorta true cavity is smoother, and the situation that due to conflict between the unique anatomical structure of the aorta root and the mechanical effect of an interventional instrument, the aorta covered stent blocks the aorta root is avoided.

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.

To optimize intraoperative visualization of the mitral valve during intraoperative assessment of valvular regurgitation, a device according to the present invention provides an alternative method of filling the LV. The device can also provide direct coronary ostial and standard antegrade aortic root cardioplegia. A novel cannula is used in conjunction with the heart-lung machine during open-heart surgery. The device described herein features an additional port with extension tubing to be advanced through the aortic valve in a retrograde manner, resulting in an extended piece of tubing sitting in the left / right ventricle or coronary ostia. This new tubing can deliver cardioplegia or saline into the coronary ostia (cardioplegia) or left / right ventricle (saline). The coronary ostia are perfused thereafter with cardioplegia in standard fashion. The left / right ventricle may be distended with known pressure and / or volume, allowing the surgeon to assess the mitral valve in a hands-free and more physiologic loaded manner.

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 provides a preoperative planning method based on a built-in sensor of an aorta root model, which comprises the following steps: establishing a digital model of the aorta root according to heart CT (Computed Tomography) image data of a patient, the digital model comprising a valve area to be implanted; an annular channel consistent with the internal curve of the to-be-implanted valve area is arranged in the wall body of the to-be-implanted valve area; preparing a simulation model of the aorta root according to the digital model with the annular channel; inserting one end of a positive electrode and one end of a negative electrode into the annular channel of the simulation model, then injecting an ionized hydrogel precursor, and freezing, so that the ionized hydrogel sensor is arranged in the simulation model; detecting a resistance value generated by the ionized water gel sensor by each artificial valve at the same position or different positions of a valve area to be implanted of the simulation model; and determining the model and / or implantation position of the artificial valve according to the resistance value.

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 present disclosure generally relates to implantable medical devices, and, in some embodiments, to a prosthetic aortic implant. Such implantable devices may be useful in the treatment of acute aortic dissections (AADs). related systems and methods are also provided. In some embodiments, the prosthetic aortic implant comprises an expandable support structure and at least a first portion sized and configured to be positioned within an ascending portion of a native aorta of a subject. In some embodiments, the first portion comprises a nonporous layer and a porous layer. In some embodiments, the first portion is sized and configured to engage an aortic root of the native aorta. In some embodiments, the prosthetic aortic implant is designed and configured to engage with and / or receive an aortic valve implant.

The invention relates to a computer-implemented method (100) for generating patient-specific templates of aortic leaflets comprising: - generating (104) a 3D model from digital images (102) of a native aortic root and aortic leaflets of a patient; - generating (106) 3D neo-leaflets models by simulating in silico aortic leaflet neocuspidization from the 3D model with parameters of developable coaptation surfaces and of non-developable load-bearing surfaces of aortic leaflets; - realizing (108) a 2D surface flattening of the coaptation surfaces of the 3D neo-leaflets models; - realizing (110) a 2D surface flattening of the load-bearing surfaces of the 3D neo-leaflets models; - merging (112) a 2D coaptation surface with a 2D load-bearing surface for each neo-leaflet model; and - generating (114) a patient-specific template for each aortic leaflet.

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 present application relates to the technical field of medical image analysis, in particular to a left ventricular compliance evaluation method and system based on medical images, comprising the following steps: obtaining three-dimensional coordinates of the left ventricular apex to the mitral annulus plane through CT images, calling a thin plate spline interpolation algorithm to establish a left ventricular long axis model, synchronously obtaining an end-diastolic diameter, inputting the left ventricular long axis model and the end-diastolic diameter into an Euclidean distance calculation function to generate a left ventricular long diameter ratio. In the present application, the left ventricular long axis model is constructed by integrating CT three-dimensional coordinates and ultrasound inner diameter, the long diameter ratio is calculated in combination with the Euclidean distance, the point cloud is registered and the myocardial wall area is segmented, the local deformation is quantified by using the Gaussian curvature gradient, the correction factor is input into the radial basis function network to generate, and the parameter coupling mechanism is established by fusing the aortic root angle, the dynamic model is established by optimizing the pressure-volume equation weight, and the quantitative evaluation system of spatial heterogeneity and time continuity is realized.

The present disclosure generally relates to implantable medical devices, and, in some embodiments, to a prosthetic aortic implant. Such implantable devices may be useful in the treatment of acute aortic dissections (AADs). related systems and methods are also provided. In some embodiments, the prosthetic aortic implant comprises an expandable support structure and at least a first portion sized and configured to be positioned within an ascending portion of a native aorta of a subject. In some embodiments, the first portion comprises a nonporous layer and a porous layer. In some embodiments, the first portion is sized and configured to engage an aortic root of the native aorta. In some embodiments, the prosthetic aortic implant is designed and configured to engage with and / or receive an aortic valve implant.

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 invention relates to an image processing technology, and discloses an aorta root dynamic anatomical feature 4D quantitative analysis method based on deep learning, which comprises the following steps: acquiring a medical image of an aorta, and carrying out image annotation preprocessing on the medical image to obtain an annotated medical image; generating a space sphere according to the marked medical image, and creating a sphere mask according to the space sphere; converting the spherical mask into a data file, and inputting the data file into a medical image segmentation model to obtain a segmented image; performing image filling processing on the segmented image to obtain a complete segmented image, and converting the complete segmented image into a binary image; and calculating the centroid of a target area in the binarized image by using a centroid method, and calculating a centroid distance coefficient to determine the position of a target anatomical point. The invention further provides an aorta root dynamic anatomical feature 4D quantitative analysis device and equipment based on deep learning and a medium. According to the invention, the accuracy of aorta structure identification can be improved.

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.