42 results about "Lung embolism" patented technology

The present invention relates to methods and compositions for symptom-based differential diagnosis, prognosis, and determination of treatment regimens in subjects. In particular, the invention relates to methods and compositions selected to rule in or out venous thromboembolic disease, pulmonary embolism, and/or deep vein thrombosis, and for risk stratification in such conditions.

The invention discloses a bedside pulmonary ventilation-blood perfusion impedance tomography method based on saline radiography, an image monitoring device based on the method, an image monitoring system based on the method and a pulmonary embolism diagnosis system based on the method. By means of the method, the quality of blood perfusion imaging is improved, and dead space ventilation%, intrapulmonary shunt% and regional ventilation-blood match% are calculated according to blood perfusion imaging, so that the practicability is higher. Pulmonary embolism can be diagnosed by means of the method, the sensitivity is 90.9%, the specificity is 98.6%, and the method has very high clinical application value.

An apparatus and methods for use are provided, where the apparatus includes: (a) a first catheter having a proximal end and a distal end, and wherein a distal portion of the first catheter includes a first one or more outlets, (b) a first tubular housing having a proximal end and a distal end, wherein the first tubular housing is coupled to the first catheter proximal to the at least one first outlet, (c) one or more pressure sensors coupled to the distal end of the first tubular housing, and (d) a second catheter having a proximal end and a distal end, wherein a distal portion of the second catheter includes a second one or more outlets, and wherein the distal end of the second catheter is configured to be positioned substantially within one of (i) the first catheter or (ii) a second tubular housing coupled to one or more of the first catheter and the first tubular housing, when the second catheter is in a first position.

The invention provides a pulmonary embolism clinical risk and prognosis scoring method and a system, and the method comprises the steps: carrying out the screening and feature extraction of medical data, and obtaining influence factors corresponding to death; performing single-factor logistic regression analysis on the influence factors, determining variables of a prognosis model, and establishing a logistic regression model; obtaining a result OR value through statistical analysis; assigning each risk factor based on the OR value, and establishing a risk prediction scoring system of pulmonary embolism to predict the death risk of the pulmonary embolism patient within 30 days; constructing an ROC curve, and comparing the areas under the curve of the three scoring systems by using clinical data of the verification group, the modeling group and the modeling group + the verification group; and predicting a result according to the optimal truncation value. The risk and prognosis scoring method can evaluate the death risk of the pulmonary embolism patient within 30 days, and high-risk and low-risk patients can be identified for doctors to refer to and formulate a diagnosis scheme.

The invention provides a medical image analysis method and device based on plain-scan CT data. The method comprises the following steps: acquiring plain-scan CT data including a lung region; performing lung region segmentation according to plain-scan CT data, and obtaining a three-dimensional whole-lung image to be analyzed and segmented; performing imaging feature extraction on the three-dimensional whole-lung image to be analyzed and segmented to obtain a to-be-analyzed imaging feature sequence; obtaining a to-be-analyzed feature statistic sequence of the extracted to-be-analyzed iconography feature sequence, and screening the to-be-analyzed feature statistic sequence according to a preset feature statistic library to obtain a to-be-analyzed feature screening statistic sequence; and performing label identification on the to-be-analyzed feature screening statistic sequence by using the trained label identification model to obtain the label identification probability of the plain-scan CT data. The analysis precision of the acute pulmonary embolism on the plain-scan CT image can be improved.

The invention discloses a pulmonary embolism detection system based on a convolutional neural network. The system comprises: a candidate region extraction network, which is a full convolutional network using automatic encoding and decoding with jump connection, performing candidate region extraction on a computed tomography angiography image to be detected, and obtaining a plurality of false positive candidate regions with different sizes; a 3D affine transformation network, used for generating cubes with aligned blood vessels and fixed sizes from a plurality of false positive candidate areaswith different sizes and taking out three orthogonal layers of the cubes; and a false positive prediction screening network, used for inputting the three orthogonal layers into a 2D classification network containing two full connection layers to carry out false positive prediction screening. The method can solve the problem of error accumulation. 3D image features with higher discriminability canbe automatically extracted, the influence of the volume effect is reduced, and the method does not depend on the experience of researchers. The accuracy is improved while the recall rate is ensured.

The invention relates to image analysis software for radionuclide pulmonary perfusion and ventilation tomography. The newly-developed computer software is utilized to implement three-dimensional registration for a pulmonary perfusion imaging tomography image and a pulmonary ventilation imaging tomography image, so that the pulmonary perfusion imaging tomography image and the pulmonary ventilation imaging tomography image reach good correspondence in a spatial position. Accordingly, a non-matching area and a matching area of the pulmonary perfusion imaging tomography image and the pulmonary ventilation imaging tomography image can be indentified and confirmed in range and degree. Therefore, a pulmonary embolism diseased region can be automatically identified, and the range and the volume of diseased lung tissue can be automatically identified. The quantitative analysis software for the pulmonary perfusion and ventilation tomography can be used for qualitative and quantitative diagnosis for pulmonary embolism and quantitative therapeutic effect evaluation for the pulmonary embolism.

The invention relates to a method, a device and a system for diagnosing pulmonary embolism based on a plain-scan CT (Computed Tomography) image. Comprising the following steps: acquiring a lung plain-scan CT image of a to-be-diagnosed patient; performing three-dimensional reconstruction on the lung flat scanning CT image to obtain a whole lung image; performing feature extraction on the whole lung image to obtain a feature vector; and inputting the feature vector into a trained machine learning model to obtain a pulmonary embolism diagnosis classification result of the patient to be diagnosed. The invention provides a novel non-invasive acute pulmonary embolism detection method for patients who do not have CTPA or have CTPA detection taboo clinically, and has important clinical application value.

An apparatus for applying periodic pressure to the limb of a patient to prevent deep vein thrombosis and pulmonary embolism. The apparatus has a cuff that has a bladder. A housing that is attached to the cuff. A pump for inflating the bladder to a maximum cuff pressure, the maximum cuff pressure being 55 mmHg, and the pump is housed within the housing. A plurality of pressure application modes each of which control operation of the pump and wherein each pressure application mode is progressively applied in a manner that will increase a patient's blood flow. A pressure application mode selector is disposed on the housing. A microprocessor that is equipped with a program that controls the pump and the plurality of pressure application modes. The microprocessor is housed within the housing and it is connected to a transceiver. And, a remote that connects to the transceiver.

Disclosed is a system device integrating a thrombus filtering function, a pulmonary embolism preventing function and a thrombus removing function. The system device is characterized by comprising a thrombus filter screen and a thrombectomy basket, wherein the thrombus filter screen comprises an exterior screen body, an interior screen body and an overall conveying sheath, the interior screen body passes through a cavity of the exterior screen body, the exterior screen body penetrates through the overall conveying sheath, the thrombectomy basket passes through a cavity of the interior screen body, and each of the interior screen body, the exterior screen body and the thrombectomy basket is provided with an extendable part and a retractable part.

The invention relates to the technical field of medical instruments, and discloses a filter screen assembly for pulmonary embolism thrombus removal and a thrombus suction assembly. The filter screen assembly comprises a thrombus breaking filter screen, a first isolation filter screen and a second isolation filter screen which can radially and elastically expand and are coaxially arranged, and thethrombus breaking filter screen is arranged between the first isolation filter screen and the second isolation filter screen. The thrombus suction assembly comprises a thrombus suction tube, a thrombus output tube, a thrombus sucker and a connecting base with a hollow channel. The hollow channel is used for allowing the stored filter screen assembly to penetrate through; the thrombus suction tubeis arranged at the front end of the connecting base, a flexible sealing valve is arranged at an opening in the rear end of the connecting base, the inner end of the thrombus output tube is connected with the side face of the connecting base, and the outer end of the thrombus output tube is connected with the thrombus sucker. The embodiment of the invention can effectively remove large thrombus ofthe pulmonary embolus, reduce the operation complexity and shorten the operation time.

Disclosed herein are antisense compounds and methods for decreasing Factor 7 and treating or preventing thromboembolic complications in an individual in need thereof. Examples of disease conditions that can be ameliorated with the administration of antisense compounds targeted to Factor 7 include thrombosis, embolism, and thromboembolism, such as, deep vein thrombosis, pulmonary embolism, myocardial infarction, and stroke. Antisense compounds targeting Factor 7 can also be used as a prophylactic treatment to prevent individuals at risk for thrombosis and embolism.

An absorbable vascular filter is disclosed for deployment within a vessel for temporary filtering of body fluids. An embodiment is configured for the placement of such absorbable vascular filter within the inferior vena cava (IVC) to filter emboli for the prevention of pulmonary embolism (PE) for a limited duration in time. Once protection from PE is complete, the filter is biodegraded according to a planned schedule determined by the absorption properties of the filter components. Hence the temporary absorbable vascular filter obviates the long term complications of permanent IVC filters such as increased deep vein thrombosis, neighboring organ puncture from filter fracture and embolization while also circumventing the removal requirement of metal retrievable IVC filters.

The invention relates to a biomarker for predicting adverse events in patients with the acute pulmonary embolism, an application thereof, and in particular, an application of lipocalin-2 (LCN-2) for predicting the long-term poor outcomes of the hemodynamically stable acute pulmonary embolism. The long-term poor outcomes refer to all-cause mortality and/or recurrent events of venous thromboembolism. The application relates to: the LCN-2 can independently predict the long-term poor prognosis of the hemodynamically stable acute pulmonary embolism, and meanwhile the risk re-stratification abilityof the long-term poor outcomes of intermediate-risk groups of patients with the acute pulmonary embolism can be improved based on the current risk stratification in combination with the LCN-2 (critical value 11ng/m1).

The invention discloses vertebral body reinforced calcium phosphate bone cement, which has good compressive strength, collapse resistance and osteogenesis induction effect, and can avoid pulmonary embolism caused by collapse in vertebroplasty. The technical scheme of the invention is as follows: the calcium phosphate bone cement comprises solid-phase powder and curing liquid; the solid-phase powder comprises the following components in parts by weight: 90-100 parts of calcium phosphate powder, 5-10 parts of absorbable fibers, 10-20 parts of bone morphogenetic protein-loaded quaternary ammoniumsalt-73 bentonite and 10-30 parts of a developing agent; and the curing liquid comprises the following component in parts by weight: 20-40 parts of a buffer solution. Bentonite is modified by using low-concentration bone morphogenetic protein, and quaternary ammonium salt has positive ions, so that protein binding sites are formed, the bone morphogenetic protein is not easily taken away by body fluid after being combined with the bentonite, and the concentration of the bone morphogenetic protein in the bone cement is not reduced along with time. The toxicity can be reduced, the cost can be reduced, and the bone cement is suitable for wide popularization and application.

The invention discloses a branch type sawtooth-shaped thrombus breaking balloon catheter. The balloon catheter comprises a catheter cavity connector and a balloon cavity connector, the upper right side of the catheter cavity connector is connected with the balloon cavity connector, the right end of the catheter cavity connector is mutually connected with the left end of a balloon tube, a guide tube is arranged in an inner cavity of the balloon tube, the upper portion of the right end of the balloon tube is mutually connected with a small balloon, the guide tube and the balloon tube form a double-cavity catheter, the outer diameter of the double-cavity catheter is 1.91 mm, the space and the function of the double-cavity catheter are mutually independent, the lower portion of the right end of the balloon tube is mutually connected with a large balloon, a near-end marking point is arranged at the middle end of the guide tube, and a far-end marking point is arranged at the right end of the guide tube. The branch type sawtooth-shaped thrombus breaking balloon catheter can be operated in the two directions perpendicular to each other to cut and break thrombus, the dosage of thrombolysis medicine is reduced, and meanwhile the thrombolysis effect can be improved; and in addition, the risk of pulmonary embolism caused by thrombosis can further be reduced.

The embodiment of the invention discloses a pulmonary embolism recognition device based on parameter sharing, terminal equipment and a storage medium. The device inputs an image to be detected into a pre-trained first feature extractor to obtain a first feature; inputting the first feature into a pre-trained first classification network to obtain the probability that the to-be-detected image contains pulmonary embolism; inputting the to-be-detected image with the probability reaching a first threshold value into a pre-trained region detection network to detect the position of pulmonary embolism and intercepting a corresponding region image; inputting the regional image into a pre-trained second feature extractor to obtain a second feature; fusing the first feature and the second feature to obtain a mixed feature; and respectively inputting the mixed features into a pre-trained second classification network and a pre-trained third classification network so as to confirm the property type and the position type of the pulmonary embolism. And through combination of generality and characteristics of feature identification results corresponding to different lesion information dimensions, the precision of identification detection results is improved.

The invention provides a pulmonary embolism detection system, a medium and electronic equipment, and the system comprises a data obtaining module which is configured to obtain CT image data and carry out preprocessing; a detection and judgment module configured to input the preprocessed CT image data into a preset OfficientNetB5 neural network to obtain a pulmonary embolism recognition result; wherein the end add layers of the adjacent blocks in the OfficientNetB5 neural network are connected in a jumping manner, and the features output by each block comprise the features extracted from the previous block, Whether the input CT image is a pulmonary embolism lesion or not can be automatically judged more accurately, and the fine-grained feature extraction capability of the model is improved.

A method is provided for determining pulmonary embolism and/or increased risk thereof in a human being, comprising collecting a sample of exhalation air from said human being and determining the presence or absence in said exhaled air of one or more biomarkers associated with pulmonary embolism. Additionally, a kit that comprises the means for detecting at least one biomarker associated with pulmonary embolism or risk thereof is provided.

In order to solve the problem that plaque types can still be diagnosed in vivo without using a contrast agent in pulmonary embolism removal, the invention designs an optical fiber Raman detection probe based on an inclined grating. The optical fiber Raman probe is adopted to replace an original probe, the diameter of the probe is 1.5 mm, and the probe can conveniently reach an affected part through a blood vessel. The inclined grating with a certain angle is inscribed at the front end of the optical fiber to increase the detection area. On the premise that no contrast agent is used, the effect of in-vivo plaque type diagnosis in the pulmonary embolism removal operation process is achieved.

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