31 results about "False Aneurysms" patented technology

Implantable therapeutic devices and methods for endovascular placement of devices at a target site, such an opening at a neck of an aneurysm, are disclosed. Selected embodiments of the present technology have closures (102) that at least partially occlude the neck of an aneurysm to stabilize embolic or coagulative treatment of the aneurysm. In one embodiment, for example, an aneurysm closure device comprises a closure structure (102) and a supplemental stabilizer (103). The closure structure can have a curved portion configured to extend along a first vessel, such as a side branch of a bifurcated vessel that extends along a lateral axis (T). The supplemental stabilizer extends from the closure structure along a longitudinal axis (L) transverse to the lateral axis of the first vessel. The supplemental stabilizer is configured to exert an outward force against a second vessel, such as a parent vessel, that extends transversely to the first vessel.

Disclosed is an antithrombotic neurovascular device useful for the treatment of brain aneurysms and/or acute ischemic stroke. The device comprises a mechanical structure, which may be a stent, stent-like structure, or flow diverter, and a drug-eluting coating. This device is designed for local delivery of antiplatelet medication to the site of device implantation in order to improve outcomes for the population of brain aneurysm and/or acute ischemic stroke patients currently being treated with stents, and for use with patients presenting with ruptured aneurysms, in whom systemic dual antiplatelet therapy is contraindicated. The coating comprises an antiplatelet drug, preferably, a GPIIb/IIIa receptor inhibitor, more preferably, abcixmab, and optionally comprises a polymeric binder that functions as a drug modulating polymer. Also disclosed are methods for producing the antithrombotic neurovascular device, and using the device for the treatment of brain aneurysms and/or acute ischemic stroke.

The invention discloses a magnetic device applied to the anastomosis of large and medium blood vessels. The magnetic device finishes the anastomosis of the blood vessels with different vessels diameters by utilizing two permanent magnet anastomosis rings comprising permanent magnets and corresponding to the vessel diameters of the large and medium blood vessels to be anastomosed so as to avoid the shortcomings of narrow lumens, false aneurysms, anastomotic stoma seepage, low anastomosis speed and great complication number caused by manual suturing anastomosis, avoids the shortcomings of narrow anastomotic stomas, blood seepage, hematorrhea caused by the slippage of ligatures, local tissue granuloma and pseudo artery formation because the two permanent magnet anastomosis rings are opposite to each other and smooth to realize the neat suture of intimae of the blood vessels, ensures the anastomosis speed which is increased by proximately over 10 times compared with manual anastomosis, and avoids blow flows of tissues and organs being blocked for long to cause the congestion and edema of the tissues and the organs to further cause anastomosis errhysis.

A three-dimensional rotational angiography (3DRA) system, in which a finite element method (FEM) package is incorporated which can read in suface meshes (20b) of a reconstructed 3DRA image of an aneurysm to generate FEM meshes (20a) which are closely approximated to the observed aneurysm (20b) in an iterative process by changing the material properties of the aneurysm used in generating the simulated representations (20a) thereof. Thus, the material properties of the closely approximated simulated representation (20a) can be used in subsequent analysis of the physical properties of the aneurysm under consideration.

According to the intracranial aneurysm recognition and detection method, device and system and the computer readable storage medium, the intracranial aneurysm recognition and detection method comprises the steps of receiving and labeling original intracranial CTA images sequentially, and obtaining labeled image data; performing boundary pixel points of the aneurysm in the three-dimensional space through the marked image data, distinguishing a positive sample image block and a negative sample image block of the image data according to the boundary pixel points, wherein the positive sample image block is the area where the aneurysm is located, and the negative sample image block is the area where the non-aneurysm is located; and detecting the intracranial aneurysm in the positive and negative sample image blocks by using a deep learning model, and outputting a detection result. According to the invention, positive and negative sample image blocks are processed at the same time by using algorithms of an encoder and a decoder in a deep learning model, so that the small aneurysm detection rate is increased; a long-range jump connection algorithm introduced by a deep learning model is taken as a main part, and a short-range jump connection algorithm introduced by the long-range jump connection algorithm is taken as an auxiliary part, so that the problem of poor continuity between different layers is solved.

The invention provides an intracranial aneurysm risk prediction method and device based on artificial intelligence. The method comprises the steps of obtaining a to-be-predicted medical image, wherein the to-be-predicted medical image at least comprises graphic information of aneurysm; segmenting the to-be-predicted medical image based on a preset feature segmentation model to obtain an aneurysm three-dimensional image, wherein the aneurysm three-dimensional image comprises a pattern of the aneurysm; measuring the aneurysm pattern to obtain characteristic data of the aneurysm; inputting the characteristic data of the aneurysm and preset structured characteristic data into a preset rupture risk prediction model for prediction to obtain rupture risk data; and generating a medical diagnosis report based on the aneurysm three-dimensional image, the characteristic data of the aneurysm and the rupture risk data. According to the method, a deep learning technology is utilized in implementation, the trained learning model is used for performing aneurysm recognition and segmentation on the patient image and completing automatic measurement, the diagnosis time is greatly shortened, and the diagnosis accuracy is improved.

The invention belongs to the field of medical instruments and relates to a device for being implanted in the abnormal bulging position of an arterial canal wall. The device comprises a bag capable of being implanted in the abnormal bulging position of the arterial canal wall and bulging, when the bag bulges, the bag has 3D modeling anatomy three-dimensional morphological features conforming to the implanting position, and therefore blood cannot flow into the abnormal bulging position of the arterial canal wall from an arterial canal. According to the device, the blood cannot flow into the abnormal bulging position of the arterial canal wall from the arterial canal, blood flow smoothness in the tumor-carrying arterial canal is kept, blood flow smoothness of branch blood vessels of the arterial canal is kept, thus, the device can be used for treating the diseases such as intracranial aneurysms, visceral aneurysms, false aneurysms, aortic aneurysms, artery dissection and aortic dissection, and a new way for aortic disease interventional therapy is expected to be opened up.

A shape memory spring coil is a spiral structural member made of shape memory polymer material. A manufacture method of the shape memory spring coil includes firstly manufacturing polymer threads by the process of extrusion molding; secondly, manufacturing the thread-type shape memory spring coil by a mold into a spiral shape (permanent shape); and thirdly, fixing the shape of the polymer into a straight fine-thread shape (temporary shape) by a proper method. An application method of the shape memory spring coil includes conveying the straight fine-threaded spring coil to an aneurysm cavity through a micro catheter, the fine-threaded spring coil automatically restores to the original spiral structure at human body temperature, and accordingly aneurysm is packed. The spring coil made of polymer material with biocompatibility compared with metal is small in density, low in rigidity and soft in texture, compact packing rate of the aneurysm cavity can be increased, risk of perforating aneurysm by the spring coil in operation is lowered, damage of peripheral nerves and vessels, which is caused by gravity press after embolism of the spring coil, is reduced, manufacture process is simple, and cost is low.

Liquid compositions comprising nimodipine having improved nimodipine concentrations are provided herein. Methods of improving neurological outcome by reducing the incidence and severity of ischemic deficits in patients with subarachnoid hemorrhage from ruptured intracranial berry aneurysms with the liquid compositions of the present invention are also detailed herein.

The present application provides an in vitro method for determining the degradation of the extracellular matrix (ECM) in a subject, the method comprising determining in an isolated sample from the subject the level of an expression product of at least one gene selected from the group consisting of collagen type V alpha 1 chain (COL5A1), transforming growth factor beta-1 (TGFB1), integrin subunit alpha 4 (ITGA4), integrin subunit beta 1 (ITGB1), matrix metallopeptidase 2 (MMP2), matrix metallopeptidase 9 (MMP9) and bone morphogenetic protein 1 (BMP1), the at least one gene being determined optionally in combination with one or both of collagen type XI alpha 1 chain (COL11A1) and collagen type V alpha 2 chain (COL5A2), wherein when the level of the expression product(s) is(are) higher than a reference value this is indicative of a degraded ECM. Methods for the diagnosis and prognosis of cancer and aneurysms are also provided. Furthermore, means for determining the level of expression product of the genes in the above diagnosis or prognosis methods are also provided, as well as kits containing said means.

The invention discloses a rabbit aneurysm model construction method, which comprises the following steps: S1, N different rabbit aneurysm model establishment methods are selected to construct N groups of rabbit aneurysm models, N is an integer greater than or equal to 2, and each model establishment method corresponds to one group of rabbit aneurysm models; s2, measuring the N groups of rabbit aneurysm models obtained in the step S1 by adopting DSA equipment to obtain the short diameter of each group of rabbit aneurysm body; and S3, carrying out comparative analysis on the N groups of rabbit aneurysm body short diameter data obtained in the step S2, and selecting a construction method corresponding to the rabbit aneurysm model with the largest tumor body short diameter to obtain the rabbit aneurysm model. The aneurysm model construction method has the advantages of being high in success rate, convenient to research and the like.

The invention discloses an intracranial aneurysm state prediction model generation method and device, a storage medium and computer equipment; the method comprises the steps: obtaining sample data of a target group, the sample data comprising baseline data, intracranial aneurysm morphological parameters and an intracranial aneurysm rupture state; taking the rupture state of the intracranial aneurysm as an outcome variable, and performing significance analysis on the baseline data item and the intracranial aneurysm morphological item according to the baseline data and the intracranial aneurysm morphological parameters, obtaining a target item with the significance level meeting a preset significance condition in the baseline data item and the intracranial aneurysm morphological item; and constructing an initial prediction model according to the target item, and training the initial prediction model by taking a target parameter corresponding to the target item and the intracranial aneurysm rupture state as model training samples to obtain the intracranial aneurysm state prediction model.

The invention relates to an adhesive cover occluding device for aneurysm treatment. The invention provides a device which includes a net portion for occluding an aneurysm neck and an adhesive to secure the net portion. The device can further include a channel orifice opening in the net portion, and an agent channel for delivering a rapid-curing agent through the orifice into the aneurysm. Devicescan be delivered through a catheter to the aneurysm, and the net can expand to occlude the aneurysm neck, and the net can be adhered to the aneurysm neck. In devices including a channel orifice and agent channel, the rapid-curing agent can be injected into the aneurysm. During injection of the rapid-curing agent, the net portion can create a barrier to inhibit the rapid-curing agent from exiting the aneurysm. After injection of the coagulation agent, portions of the treatment device, excluding the net portion, can be extracted from the patient.

The invention relates to the field of bioinformatics, in particular to a research method of key genes of intracranial aneurysm formation and rupture, which comprises the following steps: S1, chip data acquisition and chip data pretreatment; s2, screening key genes; s3, gene function enrichment analysis and immune microenvironment analysis, on the basis of screening of key genes, a method combining differential expression gene analysis and WGCNA is adopted, on the basis, the key genes obtained after intersection of results of the two methods are subjected to protein interaction network analysis, the gene with the most core of IAs formation and rupture is screened out, and the key genes with the core of IAs formation and rupture are screened out. The method realizes identification of potential key genes causing formation and rupture of IAs through a weight gene co-expression network analysis method.