9 results about "Vena porta" patented technology

A TIPS (Transient Invasive Stent) for flow restriction includes a bare stent with a fixed stent connected to one side. A flow-restricting stent is disposed inside the fixed stent. The flow-restricting stent has a conical structure, with the larger end of the conical stent connected to the inner side of the fixed stent, and the smaller end of the conical stent facing the other end of the fixed stent. A drug-eluting layer is disposed inside the fixed stent. In this application, the flow-restricting stent is a streamlined cone shape with a diameter that gradually decreases from one end to the other. This conical design reduces blood flow turbulence and recirculation, lowers the risk of thrombosis, maintains high stent patency, and more rationally balances the relationship between portal hypertension and hepatic encephalopathy, thus improving patients' quality of life. In some patients, it can more stably maintain the postoperative portal vein pressure gradient within the safe range of 10-12 mmHg. The conical structure achieves a smooth pressure gradient change through a gradually decreasing diameter, which is more in line with the principles of fluid dynamics and has high clinical value in preventing hepatic encephalopathy.

The present invention discloses the use of a short-term embolic agent in reducing drug accumulation in the liver, hepatic clearance and / or liver toxicity. The present invention provides the use of a short-term embolic agent in the manufacture of a medical composition for: (a) temporarily embolizing blood vessels supplying the liver; and (b) reducing the accumulation of a drug subsequently or concurrently administered intravenously in the liver. The strategy aims to minimize the exposure of a drug (such as LNP) to the liver by temporarily blocking the blood supply to the liver via the portal vein and / or arteries. The present invention significantly reduces the non-specific accumulation of a drug in the liver by temporarily blocking the portal vein, arterial and / or their branch blood flow, thereby greatly reducing the opportunity for the drug to enter the liver from a hemodynamic root.

The application provides an AI treatment decision system for liver cirrhosis acute variceal hemorrhage, relates to the technical field of treatment decision, extracts a transient characteristic indicator of blood flow pressure from a pressure fluctuation signal, predicts a transient pressure peak of the portal vein blood flow during acute variceal hemorrhage through the transient characteristic indicator and a blood flow dynamic model, predicts a quasi-steady pressure field of the portal vein blood flow during acute variceal hemorrhage according to the gradient distribution of the portal vein blood flow pressure and an initial treatment strategy of acute variceal hemorrhage, performs multi-scale coupling on the transient pressure peak and the quasi-steady pressure field to obtain a coupling characteristic of the portal vein blood flow, and then uses the coupling characteristic of the blood flow pressure to perform hierarchical coupling adjustment on the treatment strategy of liver cirrhosis acute variceal hemorrhage. Based on the above scheme, hierarchical coupling of the treatment strategy of liver cirrhosis acute variceal hemorrhage can be realized, so that the prediction accuracy of the portal vein blood flow pressure during acute variceal hemorrhage can be improved.

The application belongs to the technical field of medical image processing and computer-aided diagnosis, and discloses a method and system for predicting postoperative complications of TIPS based on vascular tortuosity, which realizes accurate quantification of the vascular tortuosity feature by pre-processing, skeleton extraction, down-sampling processing, slope chain code quantization, histogram statistics and visual interactive of the portal vein image, and establishes the correlation model between the vascular tortuosity feature and the postoperative complications of TIPS. The application quantifies the vascular tortuosity by using the slope chain code technology, and solves the defect that the traditional method cannot capture the local tortuosity feature of the blood vessel by combining with the ball drop down-sampling processing, so as to realize accurate representation of the spatial configuration complexity of the blood vessel. By establishing the correlation model between the tortuosity histogram feature and the clinical outcome, the prediction accuracy of the postoperative complications of TIPS is significantly improved, and a reliable basis is provided for early intervention. The generated interactive HTML file realizes efficient conversion from data to clinical decision, and facilitates doctors to intuitively analyze the high-risk section of the blood vessel.

The application relates to the technical field of biomedical engineering, and discloses a method for constructing an ex vivo normal-temperature perfusion repair model based on a discarded liver. The method constructs a double-path closed-loop perfusion system, applies a shear stress flow field with low-frequency fluctuation characteristics to a portal vein loop to maintain endothelial function, loads a composite flow field obtained by superimposing low-frequency pulsation and high-frequency micro-shaking on a hepatic artery loop, and significantly reduces microcirculation flow resistance by using the thixotropy and shear thinning characteristics of oxygen-containing perfusion liquid. The system further realizes physical layering of red blood cells and lipids by using acoustic radiation force of a standing wave acoustic flow control layered cavity, and automatically guides a high-viscosity fat-rich flow layer into an adsorption module for specific purification by cooperating with a thixotropic passive shunt valve based on fluid viscosity feedback. Temperature-gas coupling adjustment based on a metabolic temperature coefficient is performed in a rewarming stage. The application solves the problems of microcirculation non-recurrent flow and hyperlipidemia clearance by coupling of multi-dimensional physical fields, and realizes effective repair of the discarded liver.

A method for non-invasive measurement of portal pressure gradient (PPG) based on 4D Flow MRI. The method comprises: acquiring 4D Flow MRI imaging data of the abdomen of a subject, and segmenting the main portal vein (MPV) and the inferior vena cava (IVC) region; extracting the hemodynamic features of the two and combining the clinical parameters to construct a feature set; inputting the feature set into the pre-trained portal vein pressure (PVP) and inferior vena cava pressure (IVCP) regression prediction models respectively, and independently obtaining the PVP and IVCP prediction values; and finally subtracting the IVCP prediction value from the PVP prediction value to obtain the non-invasive measurement of PPG. The present application adopts an independent double model architecture combined with a three-way asymmetric velocity encoding strategy, realizes high-precision quantitative measurement of PPG, and avoids the clinical risks of traditional invasive measurement.

This invention relates to the field of tumor detection technology. It proposes a method for differential diagnosis and prediction of xanthogranulomatous cholecystitis (XGC) based on preoperative enhanced CT images. The method includes: acquiring enhanced CT images of the gallbladder wall in the arterial and portal venous phases; performing image segmentation and feature extraction; performing dimensionality reduction on the arterial phase features, portal venous phase features, and the combined dual-phase features to obtain corresponding feature datasets, which are then divided into training and testing sets; training three machine learning prediction models based on the three training sets to obtain the optimal machine learning prediction model; validating the performance of the optimal machine learning prediction model using the testing set to obtain a differential diagnosis prediction model; and inputting the feature data of the enhanced abdominal CT image to be predicted into the differential diagnosis prediction model for identification. This invention establishes a better differential diagnosis prediction model by analyzing the imaging characteristics of XGC and thick-walled GBC, providing a basis for treatment decisions.

This application provides an automated liver segmentation modeling method and system based on a hybrid neural network, relating to the field of medical imaging technology. The method includes: preprocessing acquired raw liver images to obtain a three-dimensional liver image; wherein the three-dimensional liver image includes liver parenchyma, portal vein, and hepatic vein; inputting the three-dimensional liver image into a trained segmentation model to obtain liver parenchyma masks, portal vein masks, and hepatic vein masks; dividing the liver parenchyma into multiple watershed partitions based on the liver parenchyma masks, portal vein masks, and hepatic vein masks; determining the standard liver segment corresponding to each watershed partition based on preset liver segmentation rules; and elastically deforming the watershed partitions based on the standard liver segments corresponding to the watershed partitions to obtain deformed watershed partitions. This application can reflect the individualized vascular variation characteristics of patients.

The application discloses an integrated extracorporeal organ perfusion loop system and a perfusion method, and relates to the technical field of extracorporeal organ perfusion. The system comprises an organ box, a circulating pipeline, a liquid storage container, an oxygenator, a bile collection container and a controller. The circulating pipeline comprises a main outlet pipeline, a perfusion overflow outlet pipeline, a portal vein perfusion pipeline and a hepatic artery perfusion pipeline. Pressure sensors, flow sensors and blood gas monitoring components are arranged on the hepatic artery perfusion pipeline, the portal vein perfusion pipeline and the main outlet pipeline, respectively. The bile collection container is connected with a force sensor. The oxygenator is provided with a temperature control module, a temperature sensor and an oxygen concentration / flow rate sensor. The liquid storage container is connected with a liquid medicine infusion module. The controller can automatically adjust the oxygen flow of an oxygen generator, the temperature control module of the oxygenator, the flow of the perfusion pipeline and the infusion condition of the liquid medicine infusion module according to blood gas analysis results and multi-parameter monitoring data, realize linkage of blood gas monitoring and regulation, and improve the quality of organ preservation in vitro.