91 results about "Aortic dissection" patented technology

The invention discloses a medical image segmentation method and system for an aortic dissection true cavity, an aortic dissection false cavity and an aortic dissection false cavity thrombus. The method comprises the following steps: firstly, acquiring three-dimensional medical image data of the aortic dissection, performing preprocessing operation on the image data to obtain a two-dimensional slice image, and performing local region division on the two-dimensional slice image; secondly, performing feature extraction on the divided image through a hierarchical feature extraction module; then, a dynamic region self-adaption module is used for carrying out region adjustment on the extracted feature map, a region response map is generated through a guide path, and explicit adjustment weights are given to different space regions in the feature map; and finally, uniformly aggregating the multi-scale feature maps after region adjustment, outputting a segmentation mask through a prediction module, and generating a segmentation result with a clear structural boundary and complete semantics. According to the method, while the recognition precision of the complex anatomical structure is improved, the detection capability and boundary sensing performance of a small-size focus are enhanced, and the method has good universality and stability.

The invention discloses a control method for robot-assisted laser in-situ windowing, which comprises the following steps: receiving an execution instruction sent by a main control end through a robot catheter system, sending a laser fiber into a target artery, and enabling the laser fiber to be in accurate contact with a stent covering film; a laser energy closed-loop control subsystem is combined to accurately ablate holes in a stent covering film through a photochemical effect and a photothermal effect, and laser windowing is achieved; in the laser windowing process, the thickness of the blood vessel wall is measured in real time based on optical coherence tomography, and the laser ablation process is detected based on photoacoustic monitoring, so that the laser power is dynamically adjusted, and it is ensured that the thermal damage range in the laser windowing process is smaller than 200 microns. Therefore, accurate creation of the channel between the aortic dissection false cavity and the true cavity is achieved, hemodynamic balance is recovered, the operation accuracy is improved, and the risk of complications in the perioperative period is reduced.

The invention belongs to the technical field of medicines, and particularly relates to application of muscone in preparation of a medicine for preventing or treating aortic dissection and the medicine. The invention relates to application of muscone in preparation of a medicine for preventing or treating aortic dissection. The medicine comprises one or more of the following effects: inhibiting aortic dilatation and dissection; aortic dilatation and dissection rupture are inhibited; the infiltration of macrophages in the aorta is inhibited; the apoptosis of aortic smooth muscle cells is inhibited; the effect of reducing inflammatory cytokines in the aorta is achieved; retrogressive lesions of the aortic medial membrane are inhibited; the degradation of the aortic dissection extracellular matrix is inhibited.

The application discloses an aortic dissection risk reverse evaluation method and system, relates to the technical field of cardiovascular disease risk evaluation, and discloses an aortic dissection risk reverse evaluation method and system, which calculates a contradiction coefficient of blood vessel stability and behavior load by integrating medical image data and daily behavior dynamic data, generates early warning information based on the difference, effectively solves the technical problems that a traditional evaluation method cannot dynamically capture mechanical changes of a blood vessel wall and identify potential risk conflicts, can dynamically monitor the contradictory relationship between the geometric stability of a blood vessel and daily behavior load in real time, generates high-risk early warning information in time, avoids the early warning loss caused by too long an examination interval in the traditional evaluation method, and improves the accuracy and timeliness of risk evaluation.

The invention discloses a method for detecting aortic dissection through peripheral blood BRD4 based on flow cytometry and application. The invention belongs to the technical field of biology, and particularly relates to a method for detecting aortic dissection through peripheral blood BRD4 based on flow cytometry and application. The method for detecting the content or expression level of the bromodomain-containing protein 4 in the sample to be detected comprises the following steps: 1) treating the sample to be detected to obtain mononuclear cells; the method comprises the following steps of (1) determining a mononuclear cell, (2) determining a fluorescein coupling antibody composition of a detection index according to a flow cytometry color matching scheme, (3) uniformly mixing the mononuclear cell in the step (1) and the fluorescein coupling antibody in the step (2), incubating in a dark place and dyeing, (4) loading and testing a sample by a spectrum flow cytometry, and (5) analyzing a data result, and the detection indexes in the step (2) are CD45, CD11B, CD66B, CD14, CC16 and BRD4.

The application discloses application of dihydroxy isobutyryl modification of a GIT1-K131 site in treatment of VSMC injury or aortic dissection; in the application, 2-HIBA specifically up-regulates the Khib modification level of the K131 site of the GIT1 protein by targeting inhibition of expression of HDAC1, thereby effectively inhibiting conversion of VSMC from a contraction phenotype to a synthesis phenotype, reducing expression of matrix metalloproteinase, reducing apoptosis, restoring normal functions of VSMC, and finally significantly relieving key pathological characteristics of AD such as aortic dilation, elastic fiber degradation and collagen deposition, so that occurrence and progression of AD are effectively delayed.

The invention provides application of a detection reagent of an exosome or extracellular envelope derived biomarker in preparation of a composition or a kit for evaluating, diagnosing, screening and / or monitoring an aortic dissection of a subject. The exosome or extracellular envelope derived biomarker provided by the invention is applied to detection, and has high sensitivity and specificity. Compared with the traditional method, the reaction time is greatly shortened. Good clinical application prospects are realized.

The invention belongs to the field of biological medicine, and particularly relates to application of a compound in preparation of a medicine for preventing and treating aortic dissection, the compound is nobiletin, the chemical name of the compound is 3 ', 4', 5, 6, 7, 8-hexamethoxyflavone, and the CAS number is 478-01-3. The invention also correspondingly provides a pharmaceutical composition. The death rate of aortic dissection is high, treatment depends on surgical treatment, and the death rate is extremely high. At present, an effective medicine for preventing and treating the aortic dissection is lacked clinically, the nobiletin is screened and determined to be used as the medicine for preventing and treating the aortic dissection, the molecular mechanism of the nobiletin is clear that the nobiletin targets ferroptosis related protein SLC7A11 to improve ferroptosis of vascular smooth muscle cells, namely VSMC, and a new target spot is provided for treatment of the aortic dissection.

The application discloses an aortic dissection identification method and related device, which can be applied to the technical field of deep learning, extracts local features of a to-be-identified heart ultrasound image, and the local features are aortic region features. The local features of the to-be-identified heart ultrasound image are input into a trained dissection classification model to obtain a classification result output by the dissection classification model, and the classification result is used to indicate whether an aortic dissection exists in the to-be-identified heart ultrasound image. A support set at least includes local features of a first type of heart ultrasound image, the first type of heart ultrasound image is a heart ultrasound image with an aortic dissection, and a classification label is a classification result artificially annotated to indicate whether an aortic dissection exists. The classification accuracy of the dissection classification model trained based on the feature similarity between the local features of the to-be-identified heart ultrasound image and the local features of the heart ultrasound image with the aortic dissection is high, and thus, the classification result accuracy is improved.

The invention discloses pharmaceutical application of RNA helicase DHX8, including application of the RNA helicase DHX8 in aortic dissection diagnosis, treatment and drug development. It is found for the first time that DHX8 is significantly down-regulated in aortic dissection patients, animal models and vascular endothelial cells, and overexpression of DHX8 can effectively up-regulate endothelial cell tight connection related genes and repair the endothelial barrier function. The Si DHX8 is used for transfecting human umbilical vein endothelial cells (HUVECs), and the DHX8 is knocked down, so that the tight connection gene OCLN is obviously reduced; when the OE DHX8 plasmid is used for transfecting the HUVECs and overexpressing the DHX8, the tight connection genes OCLN, JAM-A, ZO-1 and VE-cadherin are found to be obviously up-regulated. The DHX8 is used as a new target for aortic dissection diagnosis and treatment, and a detection reagent, a gene therapy vector and an agonist drug of the DHX8 have important clinical transformation values.

The invention relates to the field of diagnostic reagents, in particular to a dual-marker dual-mode quantitative detection probe, a preparation method thereof and application of the dual-marker dual-mode quantitative detection probe in aortic dissection diagnosis. Compared with a traditional probe, the dual-marker dual-mode quantitative detection probe has the advantages that fluorescence-magnetic resonance relaxation dual-mode signals do not interfere with one another, and synchronous quantification can be achieved. The application advantage in aortic dissection diagnosis is that the detection rate of the aortic dissection can be remarkably improved by simultaneous detection of the double markers, and misdiagnosis generated during detection of a single marker is avoided. Meanwhile, double indexes can be obtained through single detection, repeated sampling is avoided, and the detection time is effectively shortened.

The present application relates to the application of delta-Viniferin in the preparation of drugs for preventing or treating metabolic cardiovascular diseases. Delta-Viniferin can inhibit the expression level of aging and inflammation related genes / proteins of vascular endothelial cells, reduce endothelial dysfunction, and clarify its anti-hypertensive effect. Delta-Viniferin can inhibit the expression level of vascular smooth muscle cell phenotype conversion related genes / proteins, improve the contraction function of vascular smooth muscle, and significantly alleviate the degradation of elastic fibers of the vascular wall and the rupture of the intima of the aortic wall in vivo, and clarify its effect on preventing and treating aortic dissection. Delta-Viniferin can inhibit the expression level of myocardial fibroblast fibrosis related genes / proteins, and clarify its anti-myocardial fibrosis effect. Delta-Viniferin can promote white adipose tissue browning by targeting the SIRT1-FOXO1 axis, increase energy consumption, and clarify its effect on resisting obesity. In summary, the compound delta-Viniferin has the effect of protecting various metabolic cardiovascular diseases, and can be used to prepare drugs for preventing and treating metabolic cardiovascular diseases.

The present application provides an aortic dissection segmentation method and system based on deep reinforcement learning, the method comprising: acquiring aortic dissection slice data, and performing feature extraction using a feature extraction network; splicing each aortic dissection slice data with its corresponding aortic dissection slice feature to obtain a multi-dimensional image data set; constructing an aortic dissection positioning task using a deep reinforcement learning agent and the multi-dimensional image data set; setting an expansion strategy of a field of view window, an action of a positioning window and a reward function, training the aortic dissection positioning task using a DQN algorithm; and finally positioning the aortic dissection of the aortic dissection slice data to be segmented using the optimal deep reinforcement learning agent, and segmenting the aortic dissection according to the positioning result; the present application can reduce the proportion of redundant information of the slice, effectively improve the accuracy of the segmentation result, and improve the accuracy and stability of the positioning window.

The invention relates to the technical field of molecular biology and medicine, and particularly discloses application of WWP1 in preparation of a medicine for preventing and / or treating aortic dissection, and relates to application of WWP1 in prevention and treatment of aortic dissection. Molecular biology experiment detection of the expression level of the WWP1 in aortic dissection aortic tissue and the expression level of smooth muscle cell contraction and secretion phenotype marker genes proves that the expression level of the WWP1 in an aortic dissection aortic tissue sample is obviously higher than that of a control aortic tissue; and overexpression of the WWP1 in an animal model significantly reduces the morbidity of the aortic dissection and improves the contraction phenotype of the aortic smooth muscle, i.e., the protectiveness of the WWP1 in the morbidity process of the aortic dissection is improved. Based on the research result, the WWP1 can be used as a drug target for screening, preventing and treating the aortic dissection.

The present disclosure generally relates to prosthetic implants, prosthetic implant systems, and their methods of use, for example, for treating a dissection. The prosthetic implants contemplated herein comprise an expandable arch support structure comprising one or more expandable branches configured to be placed within one or more vessels. Certain aspects of the disclosure relate to methods for treating a dissection, e.g., an aortic dissection, using said prosthetic implants and implant systems. The methods comprise advancing one or more guidewires into an ascending aorta, a descending aorta, and / or one or more one or more vessels of an aortic root or aortic arch. The methods further comprise exposing one or more components of the expandable arch support structure from a sheath. In some cases, the exposed component is an expandable branch that is advanced into the one or more vessels of the aortic root or aortic arch, thus anchoring the implant to the native aorta.

The invention relates to the technical field of medical image segmentation, and discloses a TBAD lesion area automatic segmentation method and device based on an improved UNet network, and the method comprises the following steps: taking a UNet network structure as a basis, introducing a three-dimensional feature encoder on a jump connection channel, introducing a shift window self-attention module on a bottleneck layer, and obtaining a CISUNet network; training a CISUNet network, and taking the trained CISUNet network as an automatic segmentation model of the TBAD lesion area; and inputting the CTA image into the TBAD lesion area automatic segmentation model to obtain a TBAD lesion area segmentation result. The context sensing bottleneck layer captures global context information by using a shift window self-attention mechanism; the three-dimensional feature encoder receives the CTA image and the multi-level feature maps output by the encoder part, performs feature extraction by using multi-scale cavity convolution, and outputs a plurality of feature maps; a three-dimensional channel attention mechanism is introduced into the decoder part, and accurate segmentation of the aortic dissection complex structure is achieved.

The invention relates to the field of medical biological materials, and discloses a degradable aortic dissection repair patch and a preparation method thereof.The preparation method comprises the following steps that a fiber sheet of a double-face structure is prepared in an electrostatic spinning mode, and a polycaprolactone solution is pumped from an injector; carrying out natural air drying treatment on the electrostatic spinning sheet, and cutting the electrostatic spinning sheet into a circular patch unit through a die cutting process; the cut patch is placed on the surface of a prefabricated nickel-titanium alloy conveyor with the orientation face facing downwards; an adhesive is used on the surface of the disordered fiber surface of the patch in a uniform or point coating manner; carrying out sterilization treatment on the patch conveying system; and appearance integrity inspection and patch and support connection strength detection are carried out on the manufactured patch system. The electrostatic spinning technology is controlled to be in a standing rotating deposition mode in a staged mode, a seamless integrated structure of an inner side disordered multidirectional pore layer and an outer side annular directional stress layer is formed on the same fiber sheet, shearing can be effectively buffered through a multidirectional pore network, and the effect that stress distribution is more uniform is achieved.

The invention discloses a B-type aortic dissection whole course intelligent management system based on multi-modal fusion and biomechanics. The system comprises a multi-modal image preprocessing and reconstruction module, a rapid biomechanical simulation and operation planning module, an intraoperative 2D-3D image fusion navigation module and a postoperative outcome prediction and closed loop follow-up visit module. According to the invention, a functional quantitative evaluation system is created for the first time, and the limitation of traditional morphological diagnosis is broken through; the calculation efficiency and clinical real-time performance are extremely high, and the problem that traditional simulation cannot fall to the ground is solved; the stent-derived complications are accurately predicted, and the operation strategy is optimized; an eye perspective function is endowed in the operation, and the operation difficulty and radiation injury are reduced; a whole-course closed-loop learning system is constructed, and continuous evolution of diagnosis and treatment precision is realized; and high-fidelity automatic modeling solves the problem of complex lesion segmentation.

The present invention relates to the technical field of medical devices for cardiovascular diseases. Disclosed is an aortic covered stent. The aortic covered stent comprises a supporting stent, a sealing layer, and an elastic connecting layer. The sealing layer is spaced apart from and sleeved on the outer periphery of the supporting stent. The sealing layer comprises a first covering film. The elastic connecting layer is connected between the supporting stent and the sealing layer, such that blood flow can circulate between the supporting stent and the sealing layer. With the pulsation of the aorta, the sealing layer and the elastic connecting layer undergo elastic deformation, so that the first covering film is always closely attached to the aortic blood vessel wall adjacent to the sealing layer. The aortic covered stent can be well adapted to the special morphology of ascending aortic dissection and the mechanical characteristics of blood flow, offering high stability and exhibiting good sealing performance on the ascending aortic wall.

The invention discloses an intelligent aortic dissection diagnosis method and system based on sublimation AI and physical perception deep learning, and belongs to the technical field of intelligent medical instruments. The method comprises the following steps: a mercuration AI processor controls a DDS module to generate frequency sweep excitation and synchronously collects a response signal of a magnetoelastic sensor; performing adaptive denoising reconstruction on the signal by using a VMD algorithm to obtain an effective signal with a high signal-to-noise ratio; performing spectral analysis on the signal to extract physical characteristics, and performing double-parameter temperature compensation by combining temperature and amplitude; the calibrated features and signals are input into a pre-trained PG-ANet for double-flow fusion reasoning, and a D-dimer concentration predicted value and a risk level are output; and evaluating and predicting the confidence coefficient based on the magnetoelastic quality-frequency linear physical model, and if the confidence coefficient is insufficient, dynamically adjusting the excitation parameter and remeasuring until a high-credibility diagnosis result is output. According to the invention, the problems of difficult signal extraction, large temperature interference, poor generalization of the AI model and physical incredibility of the prediction result under the condition of few samples in the blood high-viscosity environment are solved.

The utility model discloses an aortic dissection model display device which comprises an installation base, a limiting block and a positioning block, a transparent protection cover is arranged at the outer side end of the installation base in a clamped mode, a supporting seat is rotatably installed in the middle end of the installation base, and an installation vertical plate is fixedly installed in the middle of the upper end of the supporting seat; an arc-shaped baffle plate positioned on the outer side of the model is correspondingly arranged at the outer side end of the limiting block; and positioning blocks are fixedly mounted on the outer sides of the ends, close to the mounting vertical plates, of the limiting blocks. The utility model belongs to the technical field of aortic dissection model display, and aims to solve the problems that in the prior art, display is not smooth and coherent enough, and aortic dissection models with different lengths are inconvenient to fix. The technical effects that the aortic dissection model can be effectively driven to rotate smoothly and stably, and meanwhile, the aortic dissection model rotating device is suitable for aortic dissection models of different lengths and sizes.

The invention belongs to but is not limited to the technical field of medical instruments, and particularly relates to aortic dissection blocking forceps capable of being adjusted in multiple degrees of freedom, comprising a multi-joint linkage adjusting module, which has a core of a forceps arm composed of at least three lockable rotary joints, realizes multi-dimensional posture adjustment of a forceps body, and adapts to different blood vessel trends; the forceps head self-adaptive rotating module is connected to the joint at the farthest end, 360-degree continuous rotation of the forceps head is achieved, and it is ensured that the clamping face of a jaw is perpendicular to the longitudinal axis of the blood vessel; the accurate control and positioning module is integrated with an angle fine adjustment knob and an ergonomic handle, and real-time and accurate posture fine adjustment and stable holding in an operation are achieved; and the safe locking and quick release module is linked with a joint locking mechanism and a handle quick release button to realize joint locking and unlocking and quick clamp loosening under emergency conditions.

The invention discloses a biomarker for aortic dissection detection and an application of the biomarker. The biomarker is one or more of MDK, NTN1, CCL21, LIPC, DNASE1L3, TFPI2, CTSG, HAMP, CXCL14, PLA2G2A, SCUBE1, GZMK, HP1BP3, SRP14 and TOP1. The biomarker is obtained by screening plasma of a patient with aortic dissection through plasma proteomics, and shows relatively high sensitivity and specificity. ELISA verification proves that the biomarker can be used as an early diagnostic biomarker of the aortic dissection, and can also be used as one of indexes for evaluating the disease severity of AD patients, so that a new direction is provided for clinical early diagnosis and long-term prognosis evaluation of the aortic dissection.

The embodiment of the invention provides an aortic dissection risk prediction method, and belongs to the technical field of medical care informatics, and the method specifically comprises the steps: obtaining the Fourier transform infrared spectrum, Raman spectrum and clinical data of a serum sample of a to-be-detected object; preprocessing the Fourier transform infrared spectrum and the Raman spectrum, and standardizing clinical data; respectively extracting multi-scale features of the infrared spectrum and the Raman spectrum through a multi-scale feature extraction module; inputting the infrared and Raman spectrum features of the same scale into a cross-modal fusion module to obtain enhanced cross-modal features; performing information interaction through a multi-scale interaction module to obtain unified feature representation; and outputting a disease risk prediction result or a prognosis risk prediction result by using a classification and discrimination module based on the unified feature representation and the clinical data. According to the scheme, the stability and accuracy of disease risk prediction and prognosis risk prediction are improved.

The invention discloses an aortic dissection risk reverse assessment method and system, relates to the technical field of cardiovascular disease risk assessment, and discloses the aortic dissection risk reverse assessment method and system, which calculates a contradictory coefficient between vascular stability and behavior load by integrating medical image data and daily behavior dynamic data. The technical problem that a traditional evaluation method cannot dynamically capture mechanical changes of the blood vessel wall and cannot recognize potential risk conflicts is effectively solved, the contradictory relation between the geometric stability of the blood vessel and daily behavior loads can be dynamically monitored in real time, high-risk early warning information is generated in time, and the safety of the blood vessel is improved. The early warning deficiency caused by too long check interval in a traditional assessment method is avoided, and the accuracy and timeliness of risk assessment are improved.

This invention discloses a method and apparatus for diagnosing aortic dissection. The method involves registering CTA images and plain CT images to obtain a patient's aortic CT image dataset and a corresponding aortic CTA image dataset. The aortic centerline is extracted from both the CTA and CT image datasets. A model for extracting the aortic centerline based on the CT image centerline extraction results is then trained. This model is used to extract the aortic centerline from the patient's CT images. Simultaneously, based on the extracted results and corresponding patient labels, the method provides auxiliary diagnosis of aortic dissection. This invention addresses the problem of diagnosing aortic dissection based on extracting the vascular centerline from plain CT images.

The present disclosure generally relates to prosthetic implants, prosthetic implant systems, and their methods of use, for example, for treating a dissection. The prosthetic implants contemplated herein comprise an expandable arch support structure comprising one or more expandable branches configured to be placed within one or more vessels. Certain aspects of the disclosure relate to methods for treating a dissection, e.g., an aortic dissection, using said prosthetic implants and implant systems. The methods comprise advancing one or more guidewires into an ascending aorta, a descending aorta, and / or one or more one or more vessels of an aortic root or aortic arch. The methods further comprise exposing one or more components of the expandable arch support structure from a sheath. In some cases, the exposed component is an expandable branch that is advanced into the one or more vessels of the aortic root or aortic arch, thus anchoring the implant to the native aorta.

The application discloses an aortic dissection detection method and system, belongs to the technical field of medical image processing, adopts a first segmentation network to segment an aorta region in each layer slice of a CTA image, obtains a slice image of the aorta region in each layer slice, and further segments an inner valve region in the aorta region slice image by using a second segmentation network; the inner valve region is accurately detected step by step in a step-by-step segmentation mode; and in the process, after the slice image of the aorta region in each layer slice is obtained, the formed slice sequence is filtered by using a sliding window and local continuity to remove the slice images incorrectly divided in the slice sequence, so that the accurate segmentation of the inner valve region in the second stage is ensured; and the inner valve region in the CTA image is accurately segmented, and the aortic dissection can be accurately detected.

The application discloses a kind of biomarker, kit, system and its application associated with aortic dissection, it is related to the field of biological medicine.The biomarker associated with aortic dissection includes first biomarker and / or second biomarker;The first biomarker is used to diagnose aortic dissection, and the first biomarker includes RCN1, SERPINA3 and CPN1;The second biomarker is used for aortic dissection patient clinical death risk prediction, and the second biomarker includes SYTL1, B2M, LYVE1, TTR, PRSS2, CSTF1 and H2BC5.The application successfully screens out the protein biomarker based on plasma that can accurately screen aortic dissection patient and predict the death risk of aortic dissection patient, which will also help to explore the pathogenesis of the disease, and has important significance for efficient, accurate and low-cost diagnosis of aortic dissection patient.

The invention discloses an application of a gene for coding LRP1-beta chain oligopeptide as a target in screening / preparing a medicine for treating aortic dissection, an application of a reagent for inducing overexpression of the LRP1-beta chain oligopeptide in preparing the medicine for treating the aortic dissection, and an application of the LRP1-beta chain oligopeptide as a biomarker in preparing an aortic dissection diagnostic reagent. Experiments prove for the first time that the LRP1-beta chain oligopeptide can inhibit phenotypic transformation of vascular smooth muscle cells and inflammatory infiltration of macrophages by down-regulating expression of OPN, alleviate inflammatory response and relieve or inhibit occurrence and development of aortic dissection, provides a new direction and thought for treatment of aortic dissection, and has broad application prospects in treatment of aortic dissection. The compound is expected to be applied to research and development of new drugs for treating aortic dissection