164 results about "Aortic dissection" patented technology

The invention relates to the technical field of medical information, in particular to an aortic dissection rescue guidance method and system based on multi-dimensional data fusion, the method comprises the following steps: acquiring comprehensive medical data of a patient, the comprehensive medical data comprising at least one of real-time vital sign data, iconography data and medical history information; performing fusion processing on the comprehensive medical data, constructing a disease condition portrait based on a fusion data set, capturing a disease condition change trend, and obtaining a dynamic disease condition portrait of the patient; constructing a rule base based on historical data, and matching the patient's condition portraits with rules in the rule base to obtain condition features and risk indexes; a risk assessment standard is established based on the illness state characteristics and the risk indexes, the illness state severity is assessed through the risk assessment standard, possible complications are predicted, and personalized rescue suggestions and decision support are provided for medical staff.

The invention relates to an intelligent method and system for rapid screening and triage of aortic dissection. The method comprises the following steps: collecting text information data sets indicating chief complaint symptoms, first symptoms, past medical history and high-risk signs; based on the text information data set, risk factor identification is carried out by using a feature extraction and classification algorithm combining natural language processing with machine learning; through a correlation analysis technology, correlation between the risk factor and the chief complaint symptom and between the risk factor and the first symptom is calculated, and whether the patient belongs to an AD high-risk group or not is preliminarily evaluated by setting a threshold value according to correlation strength; starting a first-aid green channel for the target patient which is preliminarily assessed as AD high risk, measuring blood pressure of four limbs, and recording generated blood pressure data; comparing the blood pressure data of the target patient with a preset threshold value, and determining the possibility that the target patient has suspected AD through logical judgment; and performing priority triage based on the suspected AD possibility evaluation result, the severity of the clinical symptoms and the availability of the medical resources.

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 discloses an aortic dissection assessment management method based on multi-source information coupling and related equipment. The method comprises the steps that face image information and electrocardio information of a target patient are obtained, wherein the electrocardio information comprises information collected by an ECG recorder; extracting evaluation association features in the face image information and the electrocardio information of the target patient so as to carry out embedding fusion; and performing aortic dissection risk assessment on the target patient based on the fusion features after embedding fusion. The problems that early evaluation and screening of the aortic dissection are difficult, invasive detection is needed, an existing evaluation source data set lacks diversity and is mainly manifested in the fact that covered patient groups are limited, most data sources are single center data, and complex pathological features of the aortic dissection cannot be comprehensively reflected can be solved.

The invention discloses application of NETs in treatment of postoperative adverse events and prognosis evaluation in an aortic dissection cavity, and belongs to the technical field of biological medicine. The invention finds that the composition protein CitH3 of NETs is closely related to poor aortic remodeling of the aortic dissection, is an independent risk factor of AAEs after intracavitary treatment of a patient with the aortic dissection, and can be used as a key marker for prognosis evaluation of the aortic dissection. Therefore, the invention provides an application of a biomarker such as CitH3 and the like in risk assessment of adverse events occurring after treatment in the aortic dissection cavity. The peripheral circulation NETs marker CitH3 provided by the invention provides an accurate, effective, simple, convenient and easy-to-popularize quantitative index and risk stratification method for the assessment of the overall prognosis of interlayer intracavity treatment.

The invention provides an application of human source circular RNA hsacirc0083796 in preparation of a diagnostic reagent or a medicine for diagnosing and / or treating aortic dissection. The invention also provides a kit for diagnosing the aortic dissection. The invention also provides a pharmaceutical composition for treating aortic dissection. According to the application of the human source circular RNA in preparation of heart disease related products, the related heart disease related circular RNA (circled-Frizzled class receptor 3, hsacirc0083796) is one of circular RNAs with the highest expression quantity in the blood of aortic dissection patients and has high conservative property, the function of the circular RNA is closely related to heart diseases, and the circular RNA has a good application prospect in preparation of heart disease related products. The method has great significance in diagnosis and treatment of heart diseases. Meanwhile, due to the stable and specific properties of the circular RNA, compared with other types of markers, the circular RNA has larger abundance in body fluid of a patient and more obvious change, so that the circular RNA has the potential of becoming a novel diagnostic marker.

The invention relates to the technical field of medical data processing, in particular to an aortic dissection rupture risk early warning method based on a CTA image, and the method comprises the steps: determining the blood pressure abnormity trend representation degree corresponding to a target patient according to the systolic pressure distribution condition of the target patient in a preset historical time period, and predicting a possible high pressure time interval; obtaining a CTA image of a target patient, and determining a precursor rupture early warning index, a new rupture spread degree and a blood pressure image correlation degree; and on the basis of the systolic pressure, the overall correlation coefficient and the current CTA image of the target patient in the current period, aortic dissection rupture risk early warning is realized through a pre-trained aortic dissection rupture risk early warning network. When the network is used, the systolic pressure, the overall correlation coefficient and the current CTA image in the current period are combined, so that the richness of network input data is enriched, and the accuracy of aortic dissection rupture risk early warning is improved.

The invention discloses a characteristic data identification method for aortic dissection and acute myocardial infarction. The method comprises the following steps: acquiring infrared and Raman spectrum data of sample blood of the aortic dissection and the acute myocardial infarction; establishing an infrared set and a Raman spectrum characteristic data set through a convolutional neural network; performing feature fusion on the data of the infrared spectrum fine feature data set and the Raman spectrum fine feature data set by adopting a multi-head self-attention mechanism and a cross attention mechanism to obtain an aortic dissection and acute myocardial infarction feature data set; according to the aortic dissection and acute myocardial infarction characteristic data set, characteristic data identification of infrared spectrum data and Raman spectrum data of newly collected blood is carried out. According to the method, spectral features are extracted through two convolutional layers, modal features are optimized in combination with self-attention and cross attention mechanisms, complementary information is fused, and the accuracy and stability of feature recognition of aortic dissection and acute myocardial infarction are improved.

One embodiment includes a system comprising: a trunk; a first polyurethane shape memory polymer (SMP) foam on the trunk; a second polyurethane SMP foam on the trunk; and a third polyurethane SMP foam on the trunk and between the first SMP foam and the second SMP foam. Other embodiments are described herein.

The present invention discloses a set of diagnostic markers for aortic dissection and their applications. The markers include the genes MMP8, ALOX15, HP, FXYD2, SIGLEC8, and CCL2. The genes MMP8, ALOX15, HP, FXYD2, SIGLEC8, and CCL2 protected by the present invention can be used as biomarkers for AD and as indicators for assessing disease severity in AD patients, enabling efficient diagnosis of patients with aortic dissection.

The invention discloses lipidosome nanoparticles, a preparation method thereof and application of the lipidosome nanoparticles in preparation of drugs for preventing and treating aortic dissection. According to the invention, the liposome is used as a carrier, DLX is wrapped in the carrier, and then the Col-IV targeting peptide is coupled to the surface of the liposome, so that the liposome nanoparticles can be obtained. The liposome nano-particle delivers drugs in a targeted manner, and brings a new hope for intervening the aortic dissection of a mouse. The mouse interlayer occurrence rate and the death rate are greatly 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 present invention relates to the field of medicinal chemistry, and in particular to a class of 4-(1-(azaacyl-3-butyl)-1H-imidazole-2-yl)aniline PKM2 agonists. The present invention provides a class of novel PKM2 agonists for treating aortic dissection. Compared with the original drug, the agonist activity of the compound at each concentration is significantly better than that of the original drug. AC 50 It is comparable to positive drugs and has broad application prospects.

The present invention provides a method, system, device, medium and program product for constructing a tubular feature prediction model, and relates to the field of intelligent medical care. The method includes: obtaining paired NCE-CT and CE-CT images of aortic dissection in a training set sample; high-scale features and low-scale features of tubular structures in the NCE-CT images; obtaining an offset based on the high-scale features; guiding the position offset of the low-scale features based on the offsets, inputting the values ​​of the low-scale features after position offset and the offsets into a multi-head self-attention network for fusion to obtain tubular feature data; obtaining a student model classification result based on the tubular feature data; adjusting the pre-trained large model based on the CE-CT images to obtain a teacher model, and obtaining a corresponding teacher model classification result; optimizing the student model based on the teacher model classification result and the student model classification result, using knowledge distillation to obtain a constructed student model, which is the prediction model.

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 present invention provides an application of OTUD7B as a target in the preparation of products for diagnosing and / or preventing and treating aortic dissection, belonging to the technical field of disease diagnosis and treatment. The results show that, compared with healthy people, the expression of OTUD7B is significantly up-regulated in both mice with BAPN-induced aortic dissection model and patients with aortic dissection, that is, the detection of the expression of OTUD7B can be used for diagnosing aortic dissection. Mice with OTUD7B knockdown in vascular fibroblasts are less likely to develop aortic dissection and elastic fiber degradation under BAPN induction, while mice with high expression of OTUD7B in vascular fibroblasts are more likely to develop aortic dissection and elastic fiber degradation under BAPN induction, indicating that OTUD7B inhibitors can be used for preventing and / or treating aortic dissection. Therefore, OTUD7B provides a target for diagnosing and / or preventing and treating aortic dissection.

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 relates to the field of medicinal chemistry, and in particular relates to a 4-(1-(azacyl-3-butyl)-1H-imidazole-2-yl) aniline PKM2 agonist. Compared with an original drug, the novel PKM2 agonist for treating aortic dissection provided by the invention has the advantages that the agonistic activity of each concentration of the compound is obviously superior to that of the original drug, and AC50 is equivalent to that of a positive drug, so that the novel PKM2 agonist has a wide application prospect.

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 present application discloses a method and device for obtaining aortic dissection images based on non-enhanced CT images. The method for obtaining aortic dissection images based on non-enhanced CT images includes: obtaining original image information; obtaining a preprocessing feature matrix according to the original image information; inputting the preprocessing feature matrix into a two-stage cascaded calcification inward migration recognition network to obtain a calcification inward migration recognition image; inputting the preprocessing feature matrix into an intimal flap recognition network to obtain an intimal flap recognition image; and inputting the preprocessing feature matrix into a pseudo-CTA image generation network to obtain a pseudo-CTA image. Through the method for obtaining aortic dissection images based on non-enhanced CT images of the present application, the layer and location where the dissection is located can be clearly indicated, assisting doctors in quickly confirming whether the NCCT-related layer contains a suspected 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 invention provides a medical implant, a medical system and a use method thereof, the medical implant comprises a first covered stent and a barb assembly, the first covered stent comprises a first stent body, a second stent body and a first positioning piece which are sequentially arranged in the direction from the near end to the far end; the first covered stent further comprises a first covering film, and the first covering film covers the first stent body, the second stent body and the near-end part of the first positioning piece; the first covering film is further provided with a first preset position and a second preset position, the first preset position and the second preset position are located between the first stent body and the second stent body, and the first preset position and the second preset position are staggered; the first preset position is used for forming a first window, the second preset position is used for arranging a barb assembly, and the barb assembly comprises barbs. The medical implant is applied to treatment of DeBakey II-type aortic dissection with a tearing opening appearing between a coronary artery opening and the junction of a sinus canal and / or a dissection section extending towards the coronary artery opening, and the first support body is used for providing radial force for the ascending aorta wall for anchoring; in addition, the barbs penetrate into the ascending aorta wall to provide anchoring force and resist blood flow impact, so that the first stent body is allowed to provide relatively small radial force, stimulation to the ascending aorta wall is reduced, and the occurrence rate of stent-derived new crevasses caused by the stimulation of the radial force is reduced.

The invention discloses an aortic dissection recognition model construction method, an aortic dissection recognition method, aortic dissection recognition equipment and a related device, and relates to the technical field of deep learning, and the model construction method comprises the steps: carrying out the dual-mode matching of a CT plain-scan image and a CTA image of the same period marked with an aortic dissection lesion feature part, and carrying out the recognition of the aortic dissection lesion feature part; determining the same fault with a lesion feature part between the two, and positioning and marking the corresponding lesion feature part on the CT plain-scan image of the same fault; and forming a CT plain-scan image data set by the plurality of CT plain-scan images marked with the diseased regions and the plurality of CT plain-scan images of the normal aortic patients, training a deep learning model by adopting the CT plain-scan image data set, and taking the trained deep learning model as an aortic dissection recognition model. And the aortic dissection recognition model is used for performing aortic dissection recognition on the to-be-recognized CT plain-scan image. The aortic dissection recognition accuracy can be maintained, and meanwhile, the recognition cost can be reduced.

The invention discloses a stent system for repairing an aortic dissection crevasse in a visceral area, which comprises a bare stent (1) and a patch (2) sewn on the outer surface of the bare stent (1), the patch (2) is used for blocking the aortic dissection crevasse or an inner leakage opening, and the stent system is characterized in that the patch (2) is provided with a honeycomb-shaped opening area; a plurality of small through holes (4) are formed in the honeycomb-shaped opening area, the diameter of each small through hole (4) ranges from 1.5 mm to 2 mm, the distance between every two adjacent small through holes (4) ranges from 1.5 mm to 2 mm, metal sutures (5) are arranged around the edge of the patch (2), and bimetal marks (3) are further arranged at the front end of the patch (2) and correspond to two edge points, sewn and fixed on the support, of the patch (2) so that the position of the patch (2) can be developed in an operation. The honeycomb-shaped porous patch structure not only can repair an interlayer crevasse, but also can retain an intervention channel, so that the reconstruction of an affected blood vessel and the implementation of false cavity embolism in an operation are facilitated, and the operation risk is reduced; a bare stent and patch structure and specially designed marks are convenient for intraoperative positioning; only one visceral artery opening is temporarily influenced and reconstructed while the crevasse is repaired, the operation is very simple, and the operation difficulty is low.

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.