29 results about "Hemorrhagic risk" patented technology

The invention provides a postoperative bleeding risk monitoring method and system for a hepatobiliary patient. The method comprises the following steps: collecting real-time multi-modal data; constructing an LSTM-CNN hybrid model by using the time-frequency decomposition features, and obtaining a local tissue hypoxia index and a vasomotor function anomaly probability; the low-frequency impedance change rate and the albumin level are fused through a random forest algorithm, and the ascites occurrence probability and the effusion amount predicted value are obtained; and generating a bleeding point positioning coordinate and a thermodynamic diagram risk grade. And calculating a comprehensive bleeding risk probability and positioning a bleeding area. And generating graded early warning signals and recommending personalized treatment schemes or nursing suggestions. According to the invention, the LSTM-CNN hybrid model, the random forest algorithm and the three-dimensional convolutional neural network are adopted to deeply extract different data features, so that the limitation of single index evaluation is avoided. A causal relationship model is established through the Bayesian network, and the comprehensive risk probability calculation preciseness is improved; the early warning threshold is dynamically adjusted by combining the individual characteristics of the patient, and the traditional problem of easy misjudgment is solved.

The invention discloses a multi-factor risk assessment method for ovarian hyperstimulation, and relates to the technical field of intelligent medical treatment, and the method comprises the steps: based on a multi-source baseline data packet, calculating the trend of follicle volume along with time through ovarian reaction simulation to obtain a follicle reaction curve, calculating the probability of vascular injury through puncture path bleeding simulation, and calculating the risk of ovarian hyperstimulation according to the probability of vascular injury. Obtaining a bleeding probability, and fusing the follicle reaction curve and the bleeding probability to form a patient characterization risk vector; associating the intervention suggestions in the structured strategy list with the ovarian overstimulation risk score and the bleeding risk score to generate a risk change description, and forming a risk assessment report according to the risk change description; according to the method, the patient characterization risk vector fusing the follicle dynamic response and the puncture bleeding risk is constructed, so that the safety and individuation level of assisted reproduction treatment are effectively enhanced.

The application provides application of a substance for detecting neutrophil and / or total bilirubin level in preparation of a kit for predicting early postoperative hemorrhage risk after endoscopic biliary stent implantation, and provides a related prediction model. The application firstly verifies that the substance for detecting neutrophil and / or total bilirubin level can be used for predicting early postoperative hemorrhage risk after endoscopic biliary stent implantation, and based on this, provides a related prediction model, the model has good discrimination ability, and can provide a valuable evaluation tool for preventing hemorrhage of a patient subjected to endoscopic biliary stent implantation.

The application belongs to the technical field of biomedicine, and particularly relates to a construction system of a cerebral amyloid angiopathy recognition model, a storage medium and a kit. Based on plasma proteomic data of cerebral amyloid angiopathy patients and normal old controls, six key protein markers closely related to cerebral amyloid angiopathy are screened out. The application also provides a model for recognizing cerebral amyloid angiopathy based on a combination of six plasma protein biomarkers. The model shows excellent performance in multiple independent data sets, can accurately distinguish cerebral amyloid angiopathy patients from normal old controls, and further distinguish cerebral amyloid angiopathy patients with high-risk cerebral hemorrhage risk from those with low-risk cerebral hemorrhage risk. The application provides a new tool for early diagnosis and hemorrhage risk assessment of cerebral amyloid angiopathy.

This invention relates to a pharmaceutical composition and its application for treating acute ischemic stroke. The pharmaceutical composition for treating acute ischemic stroke comprises separately packaged tissue-type plasminogen activator citPA5 and a platelet aggregation inhibitor. Its beneficial effects include significantly improving cerebral blood flow recovery, shortening thrombolysis time, reducing infarct volume, and improving neurological function without increasing the risk of bleeding, demonstrating a good synergistic thrombolytic effect.

The invention relates to the field of medical health and intelligent optimization, and discloses a dialysis anticoagulation risk intelligent early warning method and system fused with multi-modal physiological signals, and the method comprises the steps: S1, synchronously collecting the multi-modal data of a patient in the dialysis process, and standardizing the multi-modal data into a unified time sequence matrix; s2, inputting the unified time sequence matrix into an anticoagulation risk prediction model, performing first-class feature extraction on continuous monitoring signals, performing second-class feature extraction on discrete detection signals, and extracting embedding features of patient individualization and treatment scene data; performing cross-modal fusion on the three types of extracted features to generate a fusion feature vector, and outputting a thrombus risk probability and a bleeding risk probability in a future preset time period; s3, when the risk probability exceeds the corresponding early warning threshold value, performing search optimization on the administration parameter of the current anticoagulant, and generating a dose adjustment instruction; and S4, executing the adjustment instruction, predicting the anti-coagulation risk again, and evaluating the regulation and control effect. Therefore, the safety and effectiveness of the hemodialysis process are remarkably improved.

This invention provides an aneurysm embolization auxiliary device, belonging to the field of medical device technology. The device includes a delivery catheter, an operating handle, a balloon, and a filling unit. The delivery catheter delivers a treatment device to the aneurysm location. The operating handle is located at the proximal end of the delivery catheter. The balloon, after inflation, supports the blood vessel. The filling unit fills the aneurysm with an injectable gel for treating the aneurysm from the operating handle location along the delivery catheter. The injectable gel solidifies within the aneurysm. During operation, the delivery catheter delivers the balloon to the aneurysm location. After inflation, the balloon supports and positions the blood vessel. The filling unit fills the aneurysm with the injectable gel, which solidifies upon entering the aneurysm to treat it. This invention primarily addresses technical problems in existing interventional aneurysm treatment methods, such as easy displacement of coils and the increased risk of bleeding due to the need for long-term medication after stent implantation.

The application discloses a kind of multi-factor risk assessment methods for ovarian hyperstimulation, it is related to intelligent medical technical field, including, based on multi-source baseline data package, the trend of follicle volume change with time is calculated by ovarian response simulation, obtain follicle response curve, the probability of vascular injury is calculated by puncture path hemorrhage simulation, obtain bleeding probability, and the follicle response curve and bleeding probability are fused, form patient characteristic risk vector;According to the intervention suggestion in the structured strategy list is associated with ovarian hyperstimulation risk score and bleeding risk score to generate risk change description, and form risk assessment report according to risk change description;The application constructs the patient characteristic risk vector by fusing follicle dynamic response and puncture bleeding risk, effectively enhance the safety and individualization level of assisted reproductive treatment.

The invention relates to the technical field of automatic medical treatment, provides an interventional nursing process control scheme, and particularly relates to an interventional nursing process monitoring method and device and electronic equipment. According to the method, the basic medical data related to clinic is constructed, and the basic medical data is subjected to linear regression processing twice through the screening model pair formed by combining the unit linear regression model and the multiple linear regression model, so that the associated medical data highly related to the bleeding risk is obtained; and carrying out risk probability calculation on the associated medical data through the prediction model to obtain a final risk value, so that the bleeding risk in the nursing stage is determined. Compared with the prior art, according to the embodiment of the invention, the hemorrhagic high-risk patient can be automatically identified in the early stage of the nursing stage, and the occurrence of hemorrhage conditions is reduced.

The embodiment of the invention relates to the technical field of instruments for removing obstruction in blood vessels, in particular to a coronary thrombolysis catheter and a coronary thrombolysis assembly suitable for an ultrasonic guided intervention technology. The catheter includes a catheter assembly disposed to enter the aorta and extend into the left ventricle. The medicine conveying pipe is arranged in the catheter assembly and is arranged to be capable of conveying thrombolytic medicine into the thrombus of the coronary artery through the catheter assembly. The balloon is arranged outside the catheter assembly and can expand after being filled with water, so that the space between the catheter assembly and the aorta is sealed, the thrombolytic medicine cannot flow out of the coronary artery, and thrombus is dissolved. The catheter assembly is configured to allow blood within the left ventricle to flow out through the catheter assembly. According to the catheter, the thrombolytic drug can stay in the coronary artery for a long time, so that the thrombolytic effect and targeting performance are improved, the thrombolytic drug conveyed to the coronary artery is prevented from leaking to the whole body through the aorta, the influence of the thrombolytic drug on the whole body blood coagulation mechanism is reduced, the risk of cerebral hemorrhage and bleeding of other visceral organs is reduced, and the safety of thrombolytic treatment is improved.

The invention relates to the technical field of operation risk assessment, in particular to a bleeding risk assessment method and system in general surgery resection, and the method comprises the following steps: collecting the instantaneous pressure of the outer wall of a blood vessel in the operation to extract the main frequency and energy characteristic calibration time, collecting the multi-direction strain rate to synthesize a fracture expansion rate curve, and extracting the peak value and intensity; the method comprises the following steps: acquiring a pressure value, calculating a key time point phase difference, combining with intensity to generate a fracture critical state, matching a frequency band and performing frequency conversion to judge a resonance generation response section, weighting and calculating a risk index in combination with the fracture state, and outputting a result when a threshold value is exceeded and a bleeding risk label is added. Frequency domain energy and strain rate are extracted to quantify a fracture trend, a phase difference is analyzed to judge a fracture state, resonance is identified by combining frequency conversion, a risk index is calculated by fusing multi-source signal weighting, accurate risk prediction and dynamic response are realized, and support is provided for operation decision making.

The invention relates to the technical field of bleeding risk prediction, in particular to a liver cirrhosis esophageal and gastric fundus varicose vein rupture bleeding risk intelligent prediction method which comprises the following steps: acquiring vein center line coordinates, cavity wall pressure and thickness, judging a curvature mutation section, analyzing a thickness gradient, generating difference data, establishing a coupling region in combination with pressure peak time, and calculating the risk of liver cirrhosis esophageal and gastric fundus varicose vein rupture bleeding risk. According to the method, direction consistency is extracted to form a weak zone, multi-section risk grading is completed, space mapping is executed, amplitude correction is performed to generate an optimized fracture risk prediction result, and local stress expression precision and prediction sensitivity are improved, so that a continuous evolution rule of a vein structure is better fitted, clinical interpretation decision is supported, and safety management value capacity is provided. A curvature mutation section is identified to extract cavity wall thickness change, time correlation is performed in combination with a pressure peak value, and coupling characterization of a structure and stress is constructed, so that geometric mutation of a vein section and a cavity wall weak zone are subjected to direction consistency analysis in the same space range, and a basis is provided for subsequent difference synchronous quantification.

This invention relates to the field of abdominal drainage technology, and more particularly to an abdominal drainage system based on real-time hemoglobin monitoring and intelligent early warning. The technical solution includes an abdominal drainage tube, an optical sensing module, a microprocessor module, and a wireless communication module. The microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and to trigger early warnings based on preset multi-level alarm conditions. This invention, by real-time and accurate monitoring of hemoglobin concentration in abdominal drainage fluid, combined with intelligent early warning and personalized response mechanisms, overcomes the limitations of traditional manual observation, significantly improving the timeliness and accuracy of bleeding risk identification. Its closed design reduces the risk of infection, while its system integration capabilities optimize medical and nursing workflows, enabling data sharing and remote collaboration. This not only shortens the intervention time window and improves patient prognosis but also frees up nursing resources and improves medical quality, providing a comprehensive and efficient solution for postoperative monitoring.

The utility model provides a novel retractor device applied to a subclavian approach endoscopic thyroid surgery, and particularly relates to the technical field of medical instruments. The novel retractor device applied to the subclavian approach endoscopic thyroid surgery comprises a handheld device, the two ends of the handheld device are fixedly connected with an upper retractor and a lower retractor respectively, the upper retractor comprises a horizontal end and a vertical end, the horizontal end and the vertical end are cylindrical, the bottom end of the lower retractor comprises a transverse end and a vertical end, and the transverse end and the vertical end are connected with the handheld device. And the transverse end and the vertical end are flat rectangles. The thyroid resection device has the advantages that the thyroid resection device can be used for single-side thyroid resection and double-side thyroid total resection, and the core of the thyroid resection device is unique structural design and operation mechanism. By means of innovative angle adjustment and traction functions, exposure of the thyroid superior pole and surrounding important nerve structures is remarkably improved, and the problems of insufficient exposure, high bleeding risk and nerve injury in the prior art are solved.

The application discloses a method for training a prediction model for a bleeding risk and related products. The method comprises: collecting medical image data, genotypes and bleeding risk labels of a subject, wherein the medical image data is labeled with a bleeding mask and a classification type of cerebral cavernous malformations; based on the medical image data, feature extraction is performed using the feature extraction unit to obtain image features; the genotypes are embedded into the image features using the embedding unit to obtain embedded features; the embedded features are input into the prediction unit for bleeding risk prediction and classification prediction, and a loss function is calculated based on the bleeding risk labels and the classification type; and the prediction model is trained based on the loss function, so that the prediction unit outputs bleeding risk prediction results and classification prediction results. The scheme of the application can improve accurate bleeding risk and classification prediction, and provide comprehensive decision support for clinics.

The invention discloses a multifunctional thyroid puncture device which comprises a main shell, a moving assembly and a puncture assembly. A moving assembly in the main shell comprises a threaded rod, a moving fixing block and a limiting rod, and accurate advancing and retreating of the puncture needle are achieved through cooperation of the threaded rod, the moving fixing block and the limiting rod. The puncture assembly comprises a negative pressure cylinder and a puncture needle, the negative pressure cylinder is used for providing negative pressure, the diameter of the puncture needle is larger than that of a conventional puncture needle, and an insulating ring and a conductive ring are arranged between a needle tip and a needle body. An inner wire of the connector is connected with the needle point, an outer wire is connected with the conducting ring, and the connector is connected with an external radio frequency host through a cable. High-frequency current is utilized to generate a heat effect in tissue between the needle tip and the conducting ring, active blood coagulation of a puncture channel is achieved, and the bleeding risk is effectively reduced; meanwhile, due to the hemostasis function, a thicker puncture needle can be selected to obtain more tissue samples, and the diagnosis accuracy is improved; by matching with precise adjustment of the moving assembly, the puncture depth is controllable, and the operation safety and success rate are improved.

The invention discloses a puncture target positioning method and system based on image recognition, and relates to the technical field of medical images. The method comprises the following steps: constructing a personalized model, and establishing association mapping of respiratory rhythm and target movement of a patient and puncture resistance baselines of different tissues; multi-dimensional perception and dynamic recognition are carried out, and puncture area anatomical structure acquisition, target spot high-precision positioning, dynamic motion compensation and bleeding risk assessment are achieved; performing priority ranking and path safety index calculation on puncture targets, determining an optimal puncture sequence and evaluating path safety; planning and verifying a dynamic puncture path to realize intelligent planning and dynamic adjustment of the path; and through self-adaptive puncture control and multi-dimensional risk protection, it is ensured that the puncture process is safe and controllable. According to the method, through multi-source data fusion, real-time dynamic compensation, risk grading early warning and self-adaptive control, key anatomical structures are avoided, puncture accuracy and safety are improved, operation complexity is reduced, and reliable technical support is provided for clinical puncture.

The invention belongs to the technical field of biological medicines, and particularly discloses a polypeptide avd3i with an antithrombotic function and application thereof. The polypeptide avd3i provided by the invention comprises an amino acid sequence as shown in SEQ ID NO: 1, the antithrombotic effect of the polypeptide is comparable with or even superior to that of a clinical medicine heparin sodium, the polypeptide retains a key exogenous hemostasis defense mechanism of an organism while exerting a drug effect through selective inhibition (FXIIa / PK), the bleeding risk faced by anticoagulant drugs is solved, and the polypeptide avd3i has a good application prospect. The clinical application prospect is very high. The polypeptide avd3i provided by the invention can significantly reduce the cerebral infarction volume and improve the neurological function by strongly inhibiting the inflammatory reaction, and compared with the existing drug heparin, the polypeptide avd3i has no cytotoxicity and hemolysis, does not increase the bleeding risk, and has extremely high clinical transformation potential.

The application discloses a breast surgery traction device for reducing body injury and belongs to the technical field of medical operation auxiliary devices. The traction device comprises a support, a traction arm, a traction assembly and a control assembly. The support comprises a U-shaped support arm, a secondary support arm and a base. The traction assembly comprises at least one traction plate group, and the traction plate group comprises an upper traction plate and a lower traction plate. The traction device further comprises a cut operation demand identification assembly for identifying the operation demand of a cut. The control assembly adjusts the opening degree of the cut according to the result identified by the cut operation demand identification assembly. The application can adaptively adjust the opening and closing of a cut according to the operation demand of a medical staff, and can customize the operation parameters of a patient, thereby reducing the bleeding risk of the patient and improving the safety factor of the operation.

This treatment offers comparable efficacy to existing therapies but with reduced bleeding risk, and provides a safer treatment that can reduce thromboembolic complications of AF, such as stroke, systemic embolism, cognitive decline, and mortality. [Solution] The present invention provides a monoclonal antibody that binds to human coagulation factor XI and XIa (activated factor XI) and its antigen-binding fragment, as well as a pharmaceutical composition containing the same, and a treatment method comprising the step of administering the same.

The embodiment of the invention relates to the technical field of instruments for removing intravascular obstruction, in particular to a system for applying thrombolytic medicine to coronary artery suitable for ultrasonic guided intervention technology, which comprises a medicine carrying catheter arranged on a catheter assembly, when the catheter assembly is fed into the aorta, the medicine carrying catheter enters the coronary artery through the catheter assembly, and when the catheter assembly is fed into the aorta, the medicine carrying catheter is used for applying thrombolytic medicine to the coronary artery. And the drug-loading catheter releases the drug-loading microvesicles in the coronary artery. The ultrasonic device is arranged to apply ultrasonic waves to the drug-loaded microvesicles, and the drug-loaded microvesicles are broken and release the thrombolytic drug. The catheter assembly is configured to occlude a root of the aorta such that the drug-loaded microvesicles cannot move therefrom out of the aorta. By utilizing the system, the thrombolytic drug does not flow out along with the blood flow of the aorta and is not leaked to the whole body, so that the thrombolytic drug can stay in the coronary artery for a long time, the thrombolytic effect and the targeting property are favorably improved, the influence of the thrombolytic drug on a whole body blood coagulation mechanism is reduced, and the risk of cerebral hemorrhage and other visceral hemorrhage is reduced; and the safety and the reliability of treatment are improved.

The invention relates to the technical field of bleeding detection, in particular to a laparoscope bleeding detection auxiliary method and system based on image processing, and the method comprises the following steps: generating a de-noised operation image, converting the de-noised operation image into a Lab color space, and constructing a static blood candidate region in combination with a local entropy value; and calculating optical flow field vectors of adjacent frames, mapping the optical flow field vectors to the candidate regions to extract dynamic diffusion features, fusing textures and spatial-temporal features to calculate a bleeding risk value, and outputting an early warning result. According to the method, by introducing a highlight mask and a morphological repair mechanism, light reflection of a surgical instrument and illumination interference of a wet tissue surface are eliminated, liquid blood and solid visceral organ tissues with red characteristics are effectively distinguished by utilizing texture energy characteristics extracted by a gray-level co-occurrence matrix, and an inter-frame optical flow field analysis means is combined, so that the detection accuracy is improved. The dynamic diffusion behavior of blood under the action of gravity or pressure is accurately captured, and the problem that old bloodstains and active hemorrhage cannot be recognized through a static color discrimination method is solved.

The embodiment of the specification provides a method, device, medium and program product for constructing a post-percutaneous renal biopsy hemorrhage risk prediction model, and relates to the field of intelligent medical treatment. The method comprises the following steps: obtaining preoperative target parameters of training set samples, obtaining postoperative imaging data of the training set samples subjected to percutaneous renal biopsy, and extracting an outcome index for evaluating the hemorrhage risk from the postoperative imaging data, wherein the outcome index comprises (hematoma long diameter+hematoma short diameter) / 2; taking the outcome index as a verification standard, evaluating the prediction ability of the preoperative target parameters on the postoperative hemorrhage risk, and obtaining an evaluation result; and constructing a hemorrhage risk prediction model based on the preoperative target parameters according to the evaluation result. The application adjusts the outcome index for judging whether to hemorrhage and the hemorrhage risk after operation, proposes a new hemorrhage risk definition, and is used for precise prediction, real-time prediction and individualized prediction on patients who are about to perform percutaneous renal biopsy.

The utility model discloses a wearable mammary gland pressure bandage which comprises a device body, a chest and back bandage body is arranged in the device body, a widened shoulder strap bandage is connected to the upper portion of the chest and back bandage body, and one end of the chest and back bandage body is connected with a butt joint. A first fixing band and a second fixing band are sequentially connected to the lower portion of the widened shoulder strap bandage, a first secondary pressurizing band and a second secondary pressurizing band are sequentially arranged on the chest and back bandage body, a first female buckle and a second male buckle are arranged on the first secondary pressurizing band and the second secondary pressurizing band respectively, and a first shoulder pad bag and a second shoulder pad bag are connected into the widened shoulder strap bandage. A first hook-and-loop fastener is arranged on the inner wall of the butt joint, secondary pressurization treatment can be conducted on the device, more stable pressure can be applied to blood vessels in an operation area, hemostasis is enhanced, the postoperative bleeding risk is reduced, tissue lacuna effusion is further eliminated, lymphatic reflux is promoted, the complication risk is reduced, and the dynamic requirement for postoperative recovery is met.

The invention relates to the technical field of medical instruments, in particular to an integrated artificial blood vessel which comprises a first section and a second section which are in smooth connection and opposite in curvature, the first section is provided with at least two first branch tubes, the second section is provided with at least one second branch tube, the second branch tube is used for left subclavian artery anastomosis, and the first branch tube is used for left subclavian artery anastomosis. And all the branch pipes are communicated and connected with the trunk. According to the invention, the host blood vessel can be directly sleeved without suture in the operation, the operation time is obviously shortened, the bleeding risk is reduced, and the operation convenience is improved.

The invention discloses a method for training a prediction model for bleeding risk and a related product. The method comprises the following steps: collecting medical image data, genotype and bleeding risk label of a detected person, wherein the medical image data is marked with a bleeding mask and the typing type of brain cavernous vessel deformity; based on the medical image data, performing feature extraction by using the feature extraction unit to obtain image features; embedding the genotype into the image feature by using the embedding unit to obtain an embedded feature; inputting the embedded features into the prediction unit to perform bleeding risk prediction and typing prediction, and calculating a loss function based on the bleeding risk tag and the typing type; and training the prediction model based on the loss function, so that the prediction unit outputs a bleeding risk prediction result and a typing prediction result. By using the scheme of the invention, accurate bleeding risk and typing prediction can be improved, and comprehensive decision support is provided for clinic.

The utility model relates to a triangular liver suspension device. A main body of the triangular liver suspension device is a triangular TPU (Thermoplastic Polyurethane) film sheet; a first traction rope is fixed at the vertex angle of the TPU film sheet; a second traction rope is arranged on the opposite side of the vertex angle of the TPU film sheet; wherein a strip-shaped curled edge is arranged between the two bottom corners and on the opposite side of the top corner, a right lower curled edge is arranged at the bottom corner on the right side, the second pulling rope is fixed at the bottom corner on the left side, and the second pulling rope sequentially penetrates through the strip-shaped curled edge and the right lower curled edge and extends out of the right lower curled edge. According to the laparoscopic surgery minimally invasive principle, the design is simple, operation is easy and convenient, a surgeon can quickly master and use the laparoscopic surgery minimally invasive surgery device easily, direct contact with the liver in the surgery process can be reduced, injury and bleeding risks are reduced, the laparoscopic surgery device can further adapt to different types and parts of liver surgery, stable suspension support is provided, and trauma to the body of a patient is reduced.

This invention relates to the field of intelligent medical data analysis technology, specifically to a method and system for the intelligent prevention and control of venous thromboembolism in hospitalized patients. The method involves acquiring static medical record features and determining target test indicators; determining the target time window through a closed-loop adaptive mechanism driven by the fitting uncertainty of a Gaussian process regression model; constructing a weighted bipartite graph and removing confounding factors based on the topological overlap of pathological pathways to extract pure thrombosis baseline scores and pure bleeding baseline scores; extracting the first and second derivatives of time-series data and concatenating them with the pure baseline scores to construct a dynamic feature vector; generating a baseline-driven adaptive boundary in a two-dimensional phase plane; constructing a short-range predicted trajectory based on Taylor expansion and solving for the collision time; performing multi-objective game arbitration based on the time priority principle to generate prevention and control strategies; and achieving forward-looking joint decision-making in a dynamic conflicting scenario of thrombosis and bleeding risks.

The utility model provides a kind of net basket stone extraction device with biliary tract flushing function, including catheter, fixed ring, guide wire, flush pipe, pipeline guide silk;Wherein, catheter is equipped with first lead-through cavity, and multiple second lead-through cavities;First through-hole is set in fixed ring middle part;Guide wire is worn in second lead-through cavity, and front end forms net basket;Flush pipe is installed in first lead-through cavity, with infusion cavity;Pipeline guide silk is worn in the infusion cavity of flush pipe. When using, the front end of catheter is sent to calculus place through endoscope;Physiological saline is injected in flush pipe, and calculus periphery adherend is washed;Then flush pipe is extracted, then guide wire is pushed to make net basket open and cover calculus, and is withdrawn with endoscope;After calculus is extracted, flush pipe is installed by pipeline guide silk, and is entered again to flush biliary tract and remove residue. The device reduces operation time and complexity, avoids multiple instruments cross into human body, and reduces biliary tract injury and bleeding risk.