530 results about "Pulmonary artery" patented technology

To provide a device and a method for treating at least one of hypertension, pulmonary arteries, diabetes, obesity, heart failure, end-stage renal disease, digestive disease, urological disease, cancers, tumors, pain, asthma or chronic obstructive pulmonary disease by delivering an effective amount of a formulation to a tissue.SOLUTION: In embodiments of the present invention, the formulation may include at least one of a gas, a vapor, a liquid, a solution, an emulsion or a suspension of one or more ingredients. In embodiments of the present invention, amounts of the formulation and / or energy are effective in injuring or damaging tissue, nerves and nerve endings in order to relieve disease symptoms.SELECTED DRAWING: Figure 3B

The invention features polypeptides that include an extracellular ActRIIA variant. In some embodiments, a polypeptide of the invention includes an extracellular ActRIIA variant fused to an Fc domain monomer or moiety. The invention also features pharmaceutical compositions and methods of using the polypeptides to treat diseases and conditions involving low red blood cell levels, e.g., anemia or blood loss; fibrosis; or pulmonary hypertension.

Interatrial shunts having incorporated physiologic sensors are provided for monitoring and treating cardiovascular syndromes, including heart failure and pulmonary hypertension, in which the one or more sensors are affixed to the shunt to measure a physiologic parameter within the interatrial shunt. The one or more sensors may be directly affixed to or within a lumenal surface of the shunt or may be disposed on a support structure in a spaced relation to the shunt lumen, the one or more sensors disposed at locations subject to little or no pannus formation or cardiac wall motion artifact.

The invention discloses a method for noninvasive diagnosis of pulmonary arterial hypertension and a related device, and relates to the technical field of artery detection.The method comprises the steps that an echocardiogram result and right heart catheter pulmonary artery pressure data of a suspected pulmonary artery patient are obtained; the echocardiogram result is a tricuspid regurgitation spectrum; grading the quality of the tricuspid regurgitation spectrum based on a TR spectrum quality grading standard according to the regurgitation spectrum missing degree of the tricuspid regurgitation spectrum; according to the echocardiogram result and the right heart duct pulmonary artery pressure data, on the basis of the quality grading result of the tricuspid regurgitation spectrum, a personalized pulmonary artery hypertension diagnosis model suitable for different patients is constructed; according to the pulmonary arterial hypertension diagnosis model, on the basis of the echocardiogram result of the target pulmonary arterial patient, a pulmonary arterial hypertension diagnosis result of the target pulmonary arterial patient is obtained, and personalized accurate diagnosis can be carried out on different pulmonary arterial hypertension patients under the noninvasive condition.

The invention provides a pulmonary artery hemodynamic parameter prediction method and system, and relates to the technical field of medical image processing. The method comprises the following steps: acquiring an original CXR image of a patient; preprocessing the original CXR image to obtain a target CXR image; constructing an image segmentation model based on a U-Net segmentation network; inputting the target CXR image into the image segmentation model for segmentation, and outputting a right lower pulmonary artery ROI region image; the method comprises the steps that a pulmonary artery hemodynamic parameter prediction model is constructed, and the pulmonary artery hemodynamic parameter prediction model comprises a Swin-Transform branch and a CNN branch; and inputting the target CXR image to the Swindow-Transform branch, inputting the right lower pulmonary artery ROI region image to the CNN branch, and outputting a prediction result of the pulmonary artery hemodynamic parameters.

The invention provides a balloon biopsy catheter in a pulmonary artery, and belongs to the technical field of balloon biopsy catheters. Comprising a catheter body, a working channel opening is formed in the end of one side of the catheter body, an air bag ventilation connecting opening is formed in the end of the side, close to the working channel opening, of the catheter body, a freezing probe body is installed in the catheter body, and a needle core body is installed in the freezing probe body. By arranging the limiting storage mechanism, the catheter body can pass through a zigzag path of a pulmonary artery, and the inflatable air bag body and the air bag inner bag which are installed at the end of one side of the catheter body are inflated after reaching an occupying lesion position, so that the end part of the catheter body can be quickly fixed; therefore, the position of the end of the catheter body is kept stable in the operation process, the freezing probe body and the needle core body are used in cooperation with the balloon catheter, and biopsy sampling is conducted after the air bag body and the air bag inner bag are fixed.

The exemplified methods and systems facilitate the quantification of cardiac cycle-variability as a metric of signal quality of an acquired signal data set and the rejection, based on that quantification, of said acquired signal data set from one or more subsequent analyses that can predict and / or estimate a metric associated with the presence, non-presence, severity, and / or localization of abnormal cardiovascular conditions or disease, including, for example, but not limited to, coronary artery disease, abnormal left ventricular end-diastolic pressure disease (LVEDP), pulmonary hypertension and subcategories thereof, heart failure (HF), among others as discussed herein. The quantification of levels of cycle-variability assessed noise such as skeletal-muscle-related-signal contamination and muscle-artifact-noise contamination, and other asynchronous-noise contamination in an acquired signal can be subsequently used for the automated rejection of such asynchronous noise from measurements of biophysical signals.

A clinical decision support system and method for patients with pulmonary arterial hypertension is disclosed herein. The system may comprise a processor to process instructions to execute one or more pulmonary arterial hypertension risk algorithms configured to generate a risk score value associated with a patient surviving within a given time period. The system may comprise a means for input and output, wherein input variable data may be received and a set of risk score values may be displayed. A method for operating the clinical decision support system is also disclosed.

Systems and methods for delivering a device for regulating blood pressure across a patient's atrial septum are provided. The delivery apparatus may include a first catheter, a hub having one or more engagers disposed thereon, the one or more engagers configured to releasably engage with a first expandable end of the shunt in a contracted delivery state within a lumen of a sheath, and an second catheter extending through a center lumen of the first catheter and the hub, wherein the first catheter, the hub, and the second catheter are independently moveable relative to the sheath. The inventive devices may reduce left atrial pressure and left ventricular end diastolic pressure, increase cardiac output, increase ejection fraction, relieve pulmonary congestion, and lower pulmonary artery pressure, among other benefits. The inventive devices also may be used to treat subjects having heart failure, pulmonary congestion, or myocardial infarction, among other pathologies.

The present invention discloses a CT image pulmonary artery segmentation method and system based on contextual attention and feature fusion. The method comprises the following steps: obtaining an original CT image and performing image preprocessing in a training stage, extracting image blocks, constructing and training a 3D U-Net network based on contextual attention and feature fusion, obtaining a CT image to be inferred and performing image preprocessing in an inference stage, extracting image blocks, recording the CT image to which the blocks belong and the position in the CT image, obtaining a pulmonary artery segmentation prediction value based on the trained 3D U-Net network, combining the pulmonary artery segmentation prediction values ​​of all image blocks belonging to the same CT to obtain the pulmonary artery segmentation prediction value of the entire CT image, extracting the maximum connected component of the pulmonary artery after hard segmentation processing to obtain a segmentation result. The present invention can better extract key features of the pulmonary artery, alleviate the problem of class imbalance, and improve segmentation accuracy.

The invention relates to substituted pyrazolo piperidine carboxylic acids, their salts and to processes for their preparation, and also to their use for preparing medicaments for the treatment and / or prophylaxis of diseases, in particular cardiovascular and cardiac diseases, preferably heart failure with reduced and preserved ejection fraction (HFrEF, HFmrEF and HFpEF), hypertension (HTN), peripheral arterial diseases (PAD, PAOD), cardio-renal and kidney diseases, preferably chronic and diabetic kidney disease (CKD and DKD), cardiopulmonary and lung diseases, preferable pulmonary hypertension (PH), and other diseases, preferably neurodegenerative diseases and different forms of dementias, fibrotic diseases, systemic sclerosis (SSc), sickle cell disease (SCD), wound healing disorders such as diabetic foot ulcer (DFU).

The invention discloses a pulmonary artery segmentation method, system and device based on RNN, and a medium, relates to pulmonary artery segmentation by using an artificial intelligence technology, and aims to solve the technical problem that the pulmonary artery segmentation accuracy is affected by incomplete label data due to difficult labeling of peripheral branches of a pulmonary artery in the prior art. The sample comprises a labeled lung CT sample image and an unlabeled lung CT sample image; the pulmonary artery segmentation model comprises a U-Net network and two Mama networks with selective state spaces, an nmODE module is introduced in an intermediate high-dimensional representation stage of the U-Net network, one Mama network is used for constructing a scoring function for predicting the probability that each voxel is a foreground, and the other Mama network is used for constructing a scoring function for predicting the probability that each voxel is a foreground; the other Mamba network is used for constructing a labeling tendency function for estimating the possibility that the voxel is manually labeled as a foreground; an image is input into the U-Net network, original features are extracted after a down-sampling stage, then the original features are converted into feature representations after being dynamically mapped by the nmODE module, the original features are respectively input into the two Mamba networks after an up-sampling stage, and a real structure and an annotation state are output.

The invention discloses a risk assessment method, system and equipment for idiopathic pulmonary arterial hypertension, and belongs to the field of pulmonary arterial hypertension. According to the method, SNP data containing genotypes and effect values, protein marker expression quantity, metabonomics and clinical data are obtained, the SNP effect values are corrected based on linkage imbalance reference information, and PRS is calculated in combination with the genotypes; constructing a protein expression score by utilizing the site effect value and the expression quantity of the pQTL, and fusing the protein expression score with the PRS to form a target PRS; carrying out dimensionality reduction on metabolome data by adopting sparse coding, extracting sparse coefficients of IPAH related metabolic pathways, and converting the sparse coefficients into metabolic pathway scores; converting the clinical indexes into clinical risk scores; based on the clinical parameter distribution target PRS, the metabolic pathway score and the weight coefficient of the clinical risk score, calculating a risk assessment value; and finally, matching the evaluation value with a preset risk threshold value, and outputting a risk evaluation level. And the IPAH risk assessment accuracy of common people is improved.

The utility model relates to the technical field of medical instruments, in particular to a pulmonary artery multistage conveying catheter. The pulmonary artery multistage conveying catheter comprises an outer sheath tube, a middle catheter and a working catheter, a first balloon is arranged on the outer wall of one end of the outer sheath tube, a first airflow cavity channel penetrating out of the side wall of the other end of the outer sheath tube is formed in the outer sheath tube, one end of the first airflow cavity channel is communicated with the first balloon, and the other end of the first airflow cavity channel is communicated with the working catheter. The middle catheter penetrates through one end of the outer sheath tube, a second balloon is arranged on the outer wall of one end of the middle catheter, a second airflow cavity channel penetrating out of the side wall of the other end of the middle catheter is formed in the middle catheter, one end of the second airflow cavity channel is communicated with the second balloon, and the working catheter penetrates through one end of the middle catheter. The utility model has the advantages of simple and reasonable structural design, can be specially used for the vast majority of operations of pulmonary vessels, greatly saves the operation time, and reduces the consumable cost of patients.

Systems and methods and devices are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The occlusion device may include a lumen obstructed by a relief valve that may permit fluid flow through the occlusion device to release an excessive build-up of pressure.

The invention relates to the technical field of medical image analysis methods, in particular to a lung drainage basin analysis method based on hemodynamics, which comprises the following steps: acquiring lung CT image data; acquiring lung anatomy data and clinical medical knowledge; generating a pulmonary artery blood vessel tree model based on the lung CT image data; establishing a hemodynamic model according to the pulmonary artery blood vessel tree model; calculating a blood flow velocity field and a pressure gradient field based on the hemodynamic model; according to the pressure gradient field, executing a watershed watershed segmentation algorithm to obtain a lung watershed division result; according to the method, an analysis report containing a lung drainage basin division result is generated, the segmentation precision of a lung blood vessel network is greatly improved by adopting an advanced image processing technology and a blood vessel tracking algorithm, and the method can more accurately reflect individual differences and blood flow characteristics in a pathological state by dynamically adjusting boundary conditions and blood parameters. And meanwhile, an efficient numerical solution algorithm is adopted, so that the calculation complexity is remarkably reduced.

The invention provides a pulmonary arterial hypertension lesion artificial intelligence prediction method and device. The pulmonary artery high pressure lesion artificial intelligence prediction method based on pulmonary artery CTA imaging comprises the following steps: 1, acquiring a pulmonary artery CTA image of a patient; 2, segmenting the pulmonary artery CTA image of the patient by using a convolutional neural network to obtain a multi-substructure segmentation result; 3, obtaining morphological parameters according to a structure segmentation result; 4, constructing a dichotomy model by utilizing machine learning according to the obtained morphological parameters; and 5, predicting whether the patient suffers from pulmonary arterial hypertension or not by using the dichotomy model.

According to the technical scheme, the invention discloses a non-invasive pulmonary arterial pressure and capillary wedge pressure continuous estimation device which comprises a three-axis inertial sensing module, an acoustic sensing module, an electrocardio electrode module, a feature extraction module, a calibration and estimation module and an edge calculation module. Single three-axis inertial sensing and acoustic signal fusion are utilized, and the PAP and the PCWP are continuously estimated in a non-intrusive mode through a calibration regression / deep learning algorithm. According to the invention, single inertia and acoustics are innovatively taken as a collection core, and a calibration-estimation closed loop is supplemented, so that the device has the advantages of long-term continuous monitoring and real-time output of hemodynamic parameters in low-trauma, wearable and mobile environments.

The invention discloses an intermittent occlusion balloon catheter system for treating heart failure. The system comprises a five-cavity double-balloon catheter, the five-cavity double-balloon catheter comprises a cavity tube body, a first balloon arranged in a pulmonary artery and a second balloon arranged in a superior vena cava, and the first balloon and the second balloon are both fixed to the surface of the cavity tube body; a round head is arranged at the far end of the cavity tube body, and the diameter of the round head is not larger than the outer diameter of the catheter. The near end is connected with the extension tube assembly through an injection molding head; the cavity tube body is provided with five cavity channels which are respectively communicated with the first balloon extension tube, the second balloon extension tube, the thermistor extension tube, the far-end extension tube and the near-end extension tube; the injection pump is driven by the stepping motor, and the controller adjusts the advancing and retreating motion period of the stepping motor, so that the injection pump is controlled to charge and discharge liquid to the second balloon. By intermittently blocking the superior vena cava, the heart filling pressure is reduced, and therefore heart hyperemia and volume overload are prevented.

The embodiment of the invention provides a pulmonary artery image anomaly classification method and device, equipment and a medium. The pulmonary artery image anomaly classification method comprises the steps that a target CT image and a target ultrasonic image of a pulmonary artery are acquired; respectively coding the target CT image and the target ultrasonic image, and respectively extracting first global and local features of the target CT image and second global and local features of the target ultrasonic image after coding; performing weighted fusion on the first global and local features and the second global and local features through a preset multi-head attention mechanism to obtain multi-modal fusion features; performing decoding processing on the multi-modal fusion features, and performing reconstruction after decoding processing to obtain a target fusion image of the pulmonary artery; and performing anomaly classification based on the target fusion image to obtain an anomaly classification result of the pulmonary artery, thereby improving the accuracy of anomaly classification of the pulmonary artery image.

The utility model relates to the technical field of medical instruments, in particular to a pulmonary artery wedge pressure balloon. The pulmonary artery wedge pressure balloon comprises a catheter and a balloon body, one end of the catheter is provided with an inclined and elastic bent section, the balloon body is arranged on the outer wall of the end of the bent section, an airflow cavity channel communicated with an inner cavity of the balloon body is formed in the catheter, and the airflow cavity channel penetrates out of the side wall of the other end of the catheter. The pulmonary artery pressure detector has the advantages that the structural design is simple and reasonable, the use cost is low, and the pulmonary vessel pressure information of a pulmonary artery hypertension patient can be effectively detected, so that medical staff can judge the drug effect of administration according to the information or accurately evaluate the interventional operation of the patient.

Disclosed herein are kits and methods for treating pulmonary arterial hypertension (PAH), the method comprising administering to a subject in need thereof: * a therapeutically effective amount of a tyrosine kinase inhibitor or a pharmaceutically acceptable salt thereof; and * a therapeutically effective amount of a dimeric fusion protein comprising: * an extracellular domain of activin type 2A (ACTR IIA) or activin type 2B receptor (ACTR IIB); and an Fc domain of human immunoglobulin G1 (IgG1). In some embodiments, the tyrosine kinase inhibitor is cellatinib or a pharmaceutically acceptable salt thereof, and the fusion protein is sotasercept.

The invention discloses an application of beta-alanine in preparation of a medicine for treating pulmonary arterial hypertension. In-vivo and in-vitro pharmacological experiments prove that beta-alanine can inhibit lactic acid-mediated histone milk acylation modification and hypoxia-induced phenotypic transformation of PASMCs (Polyaspartic Sulfonate Molecules); the hemodynamics and pulmonary artery vascular remodeling of the PAH mouse are improved. The beta-alanine can inhibit phenotypic transformation of PASMCs and reverse pulmonary artery vascular remodeling which is a key pathological change in the pulmonary hypertension generation process, has huge potential in treatment of pulmonary hypertension, and has good application prospects and high clinical application value.

This document discloses a computer-implemented method for non-invasive assessment of pulmonary arterial hypertension PH from heart sound signals, the method comprising the steps of: receiving sound signals acquired from a beating heart of a subject for a predetermined period of time; generating one or more 2D feature maps, the feature maps including a 2D feature map having the received sound signals, where a first axis of the map is arranged in time and a second axis of the map is arranged on each heartbeat; a pre-trained neural network is applied to associate the generated one or more 2D feature maps with a previously acquired training dataset and to generate training 2D feature maps for a set of PH subjects and a set of non-PH subjects, thus obtaining an indication of the presence of pulmonary arterial hypertension. The invention also discloses a training method and system of the neural network.

The invention features polypeptides that include an extracellular ActRIIA variant. In some embodiments, a polypeptide of the invention includes an extracellular ActRIIA variant fused to an Fc domain monomer or moiety. The invention also features pharmaceutical compositions and methods of using the polypeptides to treat diseases and conditions involving low red blood cell levels, e.g., anemia or blood loss; fibrosis; or pulmonary hypertension.

The invention discloses an ultrasonic pulmonary artery segmentation method, system and equipment based on anatomical perception and a medium, belongs to pulmonary artery segmentation in an artificial intelligence technology, and aims to solve the technical problems of low accuracy and poor segmentation integrity of pulmonary artery segmentation. Comprising the steps of sample image acquisition, classification network fine adjustment and feature extraction, initial response diagram generation, pseudo label generation, segmentation network construction and first training, dynamic anatomy constraint iteration training and pulmonary artery real-time segmentation. When a pseudo label is generated, constructing an anatomical perception pseudo label generation module, inputting the initial response graph into the anatomical perception pseudo label generation module, and outputting an initial pseudo label by the anatomical perception pseudo label generation module; and during iterative training, constructing a differentiable anatomical constraint generator, and performing iterative training on the segmentation network by using the differentiable anatomical constraint generator. A rough and sparse initial response graph is converted into a complete, continuous and reasonably dissected initial pseudo-tag through a pseudo-tag generation module for dissecting perception.

Systems and methods are disclosed to an ambulatory medical device. The ambulatory medical device comprising an activity sensor configured to produce an activity signal representative of activity level of a patient, a heart sound sensor configured to produce a heart sound signal, and a control circuit. The control circuit is configured to detect a change in activity level of the patient using the activity signal, enable monitoring of the heart sound signal in response to detecting the change in activity level, measure intensity of an S3 heart sound in the heart sound signal, and produce an indication of pulmonary hypertension (PH) when the measured intensity of the S3 heart sound exceeds a PH detection threshold intensity.

A device for regulating blood pressure between a patient's left atrium and right atrium comprises an hourglass-shaped stent comprising a neck region and first and second flared end regions, the neck region disposed between the first and second end regions and configured to engage the fossa ovalis of the patient's atrial septum, and a drug-eluting biodegradable material that biodegrades over time to release a drug that limits tissue overgrowth. The inventive device also may include a biodegradable material that biodegrades to offset flow changes caused by tissue overgrowth. The inventive device may reduce left atrial pressure and left ventricular end diastolic pressure, and may increase cardiac output, increase ejection fraction, relieve pulmonary congestion, and lower pulmonary artery pressure, among other benefits.

The invention discloses a pulmonary artery CT angiography image generation method and device, equipment and a medium, and relates to the technical field of image processing, and the method comprises the steps: obtaining a chest CT plain scanning image of a target object; inputting the chest CT plain scanning image of the target object into the image generation model to obtain a pulmonary artery CT angiography image of the target object; wherein the image generation model is constructed based on a deep learning method, the pulmonary artery CT angiography image is generated by adopting the chest CT plain scanning image, an iodine-containing contrast agent does not need to be used, the cost is low, safety is achieved, and the application range is wide.

The invention features methods of treating a disease or condition associated with elevated activin signaling (e.g., a bone disease, pulmonary hypertension, fibrosis, a muscle disease, a metabolic disease, thrombocytopenia, or neutropenia) by administering to a human subject a polypeptide including an extracellular ActRIIB variant fused to an Fc domain in an amount of 1.5 mg / kg to 4.5 mg / kg at a frequency of once every 28 days.