1474 results about "Surgical Manipulation" patented technology

A robotic surgical system includes one or more robotic actuators configured to interact with biological tissue during a surgical procedure. A plurality of sensors include at least one of fiber Bragg grating sensors, piezoelectric strain sensors, or magnetostrictive sensors to capture real-time mechanical, elasticity, or deformation data from biological tissues. deep learning engine trained on a dataset comprising tissue mechanical responses across multiple tissue types, pathological states, and patient demographics. Pre-contact predictive adjustment profiles are generated for anticipated tissue interactions using preoperative imaging data registered to intraoperative coordinates. Intraoperative deviations are detected from predicted mechanical behavior and autonomously recalibrate actuator forces. Upcoming surgical maneuvers are anticipated based on prior task sequences and adjust actuator stiffness or damping properties in preparation for anticipated contact. An emergency override of actuator forces is provided via an anomaly detection module when real-time sensor data deviates beyond a threshold from the predicted safe mechanical response range. A feedback loop iteratively refines the deep learning engine during the procedure using supervised learning updates, anomaly detection, and reinforcement learning strategies. The reinforcement learning model is optionally shared across procedures to optimize distributed actuator force patterns for minimizing localized and cumulative tissue stress.

The invention relates to an operation auxiliary system and method based on image processing, and the method comprises the steps: obtaining a preoperative medical image of a patient, collecting a multispectral imaging medical image of a surface structure, blood flow distribution and tissue elasticity of an operation region in real time, carrying out the image feature extraction after preprocessing, obtaining a preoperative image feature and an intraoperative multispectral image feature, and carrying out the image feature extraction; constructing a biomechanical organ model, updating tissue deformation parameters of the biomechanical organ model, performing space-time alignment on the intraoperative multispectral image features and the biomechanical organ model, generating a three-dimensional enhancement model including vascular topology, lesion boundary and elastic distribution, and superposing the three-dimensional enhancement model to a real-time surgical field image to obtain a real-time surgical field image. Marking the relative position of the surgical instrument and the risk area, generating an intervention signal when the instrument is close to a critical safety distance threshold value, and performing surgical operation by a doctor under assistance. Multi-dimensional intraoperative information is obtained through multi-spectral imaging to construct a high-precision dynamic biomechanical model, and precise navigation and active intervention are achieved in combination with the augmented reality technology.

The invention discloses a motion error dynamic compensation method applied to a surgical mechanical arm, and belongs to the technical field of surgical mechanical arm control and medical automation. The method comprises the following steps: firstly, acquiring position data of each joint encoder of the surgical mechanical arm, a motor current signal, a position feedback signal of an end effector, load change information and accumulative operation duration in real time; processing the data, fusing the data through adaptive Kalman filtering to estimate a joint dynamic error, inputting a load change rate and an accumulated operation time length into a pre-training error prediction model to output a compensation basic quantity, and fusing the load change rate and the accumulated operation time length to generate a real-time error compensation quantity; and then the compensation amount is superposed to a joint original control instruction to correct motion parameters, and finally the compensated tail end position deviation is analyzed, and a precision identifier or an adjustment prompt is generated and fed back to a control system. According to the method, real-time error compensation is achieved, the compensation precision and working condition adaptability are improved, it is guaranteed that the mechanical arm is stably positioned, and the surgical operation risk is reduced.

The invention discloses a surgical instrument segmentation method based on a double prior guidance network, and the method specifically comprises the steps: constructing a hybrid encoder composed of a visual basic model and a state space model, and carrying out the coding processing of an input surgical endoscope image; the visual basic model is an SAM2-Hira model; the state space model is a MambaVision model; an adapter layer composed of a standard adapter and a Mama enhancement adapter is arranged between the coding layer and the decoding layer, and coding features are processed; setting a multi-context guide decoder, and performing multi-scale feature recovery and mask segmentation; a hybrid encoder, a Mama enhancement adapter and a multi-context guidance decoder form a double-priori guidance network DPG-Net, and high-precision surgical instrument segmentation is realized by using the DPG-Net. Accurate visual support is provided for the surgical robot, and the accuracy and safety of surgical operation are greatly improved.

The invention provides a bending-adjustable microcatheter with multi-section bending control, and belongs to the technical field of bending-adjustable microcatheters.The bending-adjustable microcatheter with the multi-section bending control comprises a catheter body, a driving assembly and a control assembly, and the catheter body is composed of seven flexible pipe sections which are connected with one another; the driving assembly comprises seven independent shape memory alloy drivers, and each shape memory alloy driver is connected with the outer side of the corresponding flexible pipe section. The control assembly comprises a power supply, a microprocessor and a temperature sensor, the power supply supplies power to the shape memory alloy drivers, the microprocessor controls the current of each shape memory alloy driver, and the temperature sensor monitors the temperature of each flexible pipe section in real time; the problems that the bendability of a traditional catheter is usually limited, the catheter can only be operated within a fixed angle range, the bending form of the catheter is fixed, and various surgical operation requirements cannot be perfectly met can be solved.

The utility model relates to a cervical conization knife, and belongs to the field of gynecological operation instruments. Comprising a knife handle and a detachable blade. And the front end 2 of the knife handle tilts and forms an angle with the longitudinal axis of the handheld end 1 of the knife handle. According to different angles between the longitudinal axis of the front end 2 of the scalpel handle and the longitudinal axis of the handheld end 1 of the scalpel handle, the scalpel is divided into three models of A, B and C which are respectively at angles of 27 degrees, 31 degrees and 37 degrees. The cross section of the blade body is arc-shaped, the radian is consistent with that of the cervix uteri, the arc length is 1 / 8 of the circumference of the cervix uteri, namely 1cm, the two sides of the blade are both blade faces 3, the front ends of the blade faces 3 converge to enable the blade tip 4 to be an arc-shaped triangle, the rear end 5 of the blade is a parallel blunt face, and the longitudinal axis of the blade is provided with scales 6. Compared with a traditional cold knife, the novel cervical cold knife can be applied to gynecology cervical cold knife conization, surgical operation is facilitated, a cut cone can be regular, cervical injury is reduced, and the shape and the function of the cervix are reserved to the maximum extent.

The invention relates to a robot-assisted surgery system, in particular to a force feedback monitoring method, medium and system for multi-sensor data fusion based on deep learning, and the method comprises the following steps: obtaining the magnitude and direction of the force applied by a tool, and the acceleration change during vibration and movement; preprocessing the data and performing feature extraction; inputting the extracted spatial features into a deep learning model for time sequence processing; judging a current stage state according to a result obtained by processing the deep learning model, and adjusting a transfer correction coefficient; and carrying out force feedback on the corrected force feedback result. Compared with the prior art, the problem that in the prior art, the touch sense of a doctor cannot be simulated during fine operation, so that surgical operation only depends on experience and visual speculation of the doctor is solved. According to the scheme, in combination with multi-sensor data, micro force changes in an operation are processed and analyzed in real time through a deep learning algorithm, and therefore the accuracy and safety of the system are improved.

The invention provides an AI-based medical record diagnosis and surgical operation code intelligent generation method and system, and relates to the technical field of medical information, and the method comprises the steps: obtaining multi-modal data from a hospital information system, including a text medical record, a medical image, a surgical video and a pathological report; entities and relationships are extracted through a multi-modal fusion model, and a hospital-level disease knowledge graph containing space-time dimensions is constructed; training a coding rule generation model and a verification model based on a reinforcement learning framework, and generating candidate codes and confidence scores thereof; and correcting the candidate codes according to manual feedback, and dynamically updating the knowledge graph and the rule base by using the graph neural network. Accurate disease diagnosis codes and surgical operation codes are generated in an intelligent mode, and the accuracy of the codes can be remarkably improved through automatic medical record code recommendation.

The invention relates to the technical field of medical report generation, in particular to an intelligent anesthesia record sheet automatic generation system. According to the system, patient information is automatically recognized through the OCR unit, and real-time collection and structured storage of physical sign data, medication records and surgical operation are achieved in combination with a medical equipment interface and a voice recognition technology; time sequence data analysis and multi-source data fusion modeling are adopted to construct a medical event causal relationship graph so as to improve the accuracy of anomaly recognition and patient sign evaluation; based on a time axis construction unit and a structured template engine, an anesthesia record list is automatically analyzed and filled, and the manual input workload is greatly reduced; and finally, in combination with block chain evidence storage and a multi-level encryption technology, the security and non-tampering property of the anesthesia record list are ensured, the reliability of medical data management is improved, the recording, monitoring and storage efficiency of the anesthesia process is comprehensively optimized, and the medical quality and the patient safety are improved.

The invention provides a liver blood flow and anesthesia depth combined monitoring system in a liver operation. The liver blood flow and anesthesia depth combined monitoring system comprises seven modules including a multi-source data collector, a signal preprocessor, a physiological coupling model calculator, an operation recognizer, a brain-liver information flow analyzer, a risk prediction early warning device and a clinical decision assist device. According to the system, liver blood flow parameters and anesthesia depth parameters are collected and analyzed in real time, a dynamic coupling relation model between the liver blood flow parameters and the anesthesia depth parameters is established, and in combination with automatic recognition of surgical operation and quantitative analysis of brain-liver information flow, early prediction and early warning of surgical risks are achieved, and individualized clinical decision support is provided.

The invention provides a real-time operation remote video consultation system and method based on virtual reality, and the system comprises a driving data collection module which collects multi-modal data; the data processing module is used for carrying out fusion processing on data from different acquisition sources; the virtual image driving module is used for reconstructing a virtual scene of an operation site and performing three-dimensional modeling and rendering on an image acquired by the high-definition camera and an internal structure image acquired by the medical imaging equipment; the template matching module is used for collecting and sorting standard action templates of common surgical operations and matching the standard action templates; the data collaboration module is fused with the virtual scene to display the medical data of the patient; and the 5G robot assistance module remotely controls the robot to execute an action corresponding to the virtual reality scene through 5G. According to the invention, audio and scene fusion is realized, scene fidelity is improved, and consultation immersion is enhanced. Interaction between experts and virtual scenes in consultation can be achieved, consultation efficiency and sense of participation are improved, doctors are assisted in standard operation, and surgical risks are reduced.

The invention discloses an operation index determination method and device for an endoscopic surgery, equipment and a storage medium, and can be applied to the technical field of surgical operation data processing. The method comprises the following steps: firstly, acquiring a surgical operation data set of a target operation object for an endoscopic surgery; the surgical operation data set comprises a plurality of pieces of surgical operation data sorted according to a time sequence. Each piece of surgical operation data comprises five-dimensional data, namely endoscope action data, endoscope type data, instrument action data, instrument type data and surgical object data. And constructing a hidden Markov model by using the surgical operation data set. In the hidden Markov model, the surgical operation described by the surgical operation data is the observed quantity, and the surgical state is the state quantity, and based on the hidden Markov model, the statistical principle is utilized to carry out quantitative evaluation on the surgical operation indexes, so that the accurate evaluation of the surgical operation when a doctor carries out the endoscopic surgery is realized, and the reference effectiveness of the operation indexes is improved.

The utility model discloses a snake bone joint, a flexible joint assembly and a surgical operation arm, relates to the technical field of medical instruments, and aims to relieve the problem that two snake bones slide in an uncertain dislocation mode when the snake bone joint is bent. The snake bone joint comprises a first snake bone and a second snake bone, the first snake bone and the second snake bone can rotate based on respective pivots, the two pivots are parallel, and the distance between the two pivots is constant; the first snake bone comprises a restraint roller, the second snake bone comprises a restraint hole site, and the restraint roller is movably arranged in the restraint hole site; the restraining hole site comprises a first restraining face and a second restraining face which are oppositely arranged, and the restraining roller arranged in the restraining hole site is clamped between the first restraining face and the second restraining face. Therefore, the snake bone joint has the advantage that the bending precision and the load deformation resistance of the snake bone joint are improved.

The utility model discloses a stitching instrument for stitching an endoscope puncture hole. The stitching instrument comprises a handle part and two operating rods which are assembled on the handle part in a rotatable structure, the lower ends of the two operating rods are respectively provided with a convex needle connecting part, and the lower ends of the two operating rods extend out of the guide cylinder of the handle part; in the rotating action of the two operating rods, the needle connecting parts at the lower ends of the two operating rods are folded or unfolded; when the needle connecting parts of the two operating rods are in a folded state, the guide cylinder located at the handle part is in an axial storage coverage range of a trocar channel through which the guide cylinder needs to penetrate during surgical operation; the lower end of each operating rod is provided with a needle mounting base formed in an outward protruding mode, the needle mounting bases are connected with suture needles through detachable structures, and the suture needles are connected to the needle mounting bases in place to form an inflection assembly structure facing the handle part. According to the stitching instrument, the stitching operation is simplified, the stitching safety, flexibility and efficiency are improved, the forming structure of the stitching instrument is simplified, and the practicability is higher.

The invention discloses a neurosurgical operation virtual simulation training system based on multi-modal data fusion, and relates to the technical field of operation simulation. The data acquisition and preprocessing module acquires data such as images and force feedback, and standardized storage is performed after filtering and registration; the multi-modal data fusion module performs weighted fusion on the data by using an attention algorithm to generate a three-dimensional model; the virtual operation scene construction module generates a high-fidelity environment through ray tracing and a physical engine; the surgical operation interaction simulation module realizes accurate interaction through positioning tracking and force feedback; the training evaluation and feedback module quantifies operation performance and provides guidance; and the system management and iteration module guarantees operation and supports data updating and optimization. According to the method, a high-reality scene is constructed through multi-modal fusion, interaction and multi-dimensional evaluation help skill improvement, dynamic difficulty and personalized paths are adaptive to different users, collaborative training and privacy data collaboration are supported, operation training standardization is promoted, and the risk of errors in an operation is reduced.

The invention discloses an occluder pushing mechanism and an occluder conveying and forming device.The occluder pushing mechanism comprises an occluder, a multi-cavity tube, a core rod, a forming pull wire and a tensioning wire, and the occluder conveying and forming device comprises the occluder pushing mechanism and a wire cutting handle. The thread trimming handle comprises a shell, a multi-cavity tube fixing ring, a thread leading device, a core rod sliding block, a thread locking assembly and a thread trimming assembly. According to the occluder conveying and forming device, the thread trimming handle and the occluder pushing mechanism are preassembled into a whole, the surgical operation process is optimized, the convenience and safety of surgical operation are remarkably improved, the thread trimming success rate is greatly increased, and smooth implementation of the surgery is guaranteed; meanwhile, connection between the thread trimming handle and the plugging device is established through the forming pull thread and the tensioning thread, the overall structural design is simplified, and surgical operation steps and potential risks are effectively reduced.

The application provides a valve support and an artificial valve with the same, and belongs to the technical field of heart valves. The valve support comprises a support body, a positioning ring and an elastic connecting wire. The positioning ring is arranged in a compressed state and is adapted to be sequentially and serially arranged along an axis with the support body. When the positioning ring is elastically deformed from the compressed state to an expanded state, the positioning ring can be coaxially sleeved on the support body through the traction of the elastic connecting wire. After the valve support is implanted, the positioning ring can be self-expanded to the expanded state through elastic deformation and can be coaxially sleeved on the support body according to the traction of the elastic connecting wire. Therefore, the positioning ring and the support body can be simultaneously positioned during the implantation operation. Due to the traction of the connecting wire, the support body can be self-positioned according to the positioning ring, thereby saving the separate positioning operation of the positioning ring and the support body and making the operation more convenient.

The invention provides a surgical anatomy monitoring method and system based on AR glasses, and relates to the technical field of augmented reality, and the method comprises the steps: obtaining medical knowledge data through augmented reality equipment, and generating a digital data set containing a three-dimensional model, a text and a two-dimensional image; acquiring real-time image data from the surgical site, extracting corresponding anatomical structure data, and generating a three-dimensional model data set; presenting the three-dimensional model data set through augmented reality equipment, and superposing the surgical operation guidance data to generate an interactive display result; and receiving a voice control instruction, adjusting the three-dimensional model data set or the surgical operation guidance data, and generating adjusted display content. According to the method, the shielded organ structure in the image data can be analyzed, a complete anatomical structure is generated by combining database inference, and related information is automatically labeled. According to the system, by integrating medical knowledge, the augmented reality technology and image recognition analysis, visual and accurate visualization assistance is provided for an operation, and the operation precision and the teaching effect are improved.

An embodiment of the present invention discloses an electrocoagulation surgical instrument, which uses a pulling portion and a first operating arm to form a first electrical path, and uses a sheath portion and a second operating arm to form a second electrical path, so as to apply a coagulation current to biological tissue. Thus, on the one hand, the electrocoagulation surgical instrument is configured as a detachable electrocoagulation component and a drive component, which fully utilizes the multiple incisions of laparoscopic surgery, so that the electrocoagulation component and the rod can be respectively inserted into the cavity from different incisions, reducing the size of the wound corresponding to the rod and improving the patient's postoperative recovery speed. On the other hand, during the assembly process of the electrocoagulation component and the drive component, the pulling portion can pull the electrocoagulation component and the drive component toward each other to facilitate the assembly of the two. At the same time, the pulling portion can further pull the first operating arm and the second operating arm closer to each other, so as to realize the electrocoagulation operation of the first operating arm and the second operating arm on the biological tissue, thereby simplifying the surgical operation.

The invention belongs to the technical field of medical treatment, and discloses a surgical robot arm joint torque collaborative optimization and trajectory tracking control method, which comprises the following steps of: dynamically associating a tissue viscoelasticity characteristic with a joint torque through biomechanics-multi-body dynamics coupling modeling to form a'mechanics-injury 'double-constraint mechanism; a damage early warning factor is introduced into the memory enhanced controller, torque output is adjusted in real time when an instrument interacts with a tissue, and traction damage caused by overlarge load of a single joint is avoided; meanwhile, the digital twin system prejudges potential risks in advance, the threat of surgical operation to fragile tissues is reduced from modeling, control to verification of a whole link, and a safety guarantee is provided for operation in a fine surgical area; through staged dynamic weight optimization, target adaptive adjustment of different operation stages is realized; the multi-modal sensing fusion architecture combines flexible sensing and image data, and improves the sensing precision of a complex organization environment.

The invention relates to the technical field of high-frequency electrotomes, in particular to a bending compensation device for a high-frequency electrotome, which comprises a handle, a button, a PCBA (printed circuit board assembly) control panel, a power line, a conductive part, a T-shaped part, an inner snake-bone tube, an outer snake-bone tube, a sleeve, a first connecting piece and an electrotome. According to the bending compensation device for the high-frequency electrotome, a rotating sleeve of the rotating assembly can drive an inner rotating block, a second connecting piece and a snake-bone pipe to rotate integrally, stability of a sliding ring is not affected when the inner snake-bone pipe rotates due to the arrangement of a bearing, and further rotating adjustment of the electrotome on the basis of bending is achieved; the cutting requirements of multiple directions and complex angles are met, and the flexibility and accuracy of surgical operation are improved.

The invention provides an instrument force feedback and man-machine cooperative control method and system for minimally invasive surgery, and relates to the technical field of man-machine collaboration.The instrument force feedback and man-machine cooperative control method comprises the steps that a force sensor arranged at the tail end of a minimally invasive surgery instrument is used for collecting three-dimensional torque data, and the surgical operation safety state is recognized through a mixed deep learning model; and when risks exist, early warning is triggered, an active constraint mechanism is started, and real-time correction is carried out through reverse force feedback generated by a robot auxiliary system. A safety force domain range is calculated according to the torque data change, and trajectory optimization and acting force adjustment of the surgical instrument are achieved. The safety and accuracy of the minimally invasive surgery can be effectively guaranteed, and the medical risk is reduced.

The invention discloses a deep learning-based laparoscopic image kidney tumor segmentation method and system, and relates to the technical field of deep learning, and the method comprises the following steps: constructing a laparoscopic kidney tumor data set RT-AMU, and dividing the RT-AMU data set into a training set and a test set according to a preset proportion; the method comprises the following steps: designing a CNN-Transform hybrid network PEEA-Net of a parallel structure, and taking the CNN-Transform hybrid network PEEA-Net as a kidney tumor initial segmentation model; inputting the training set into a kidney tumor initial segmentation model for model training until the loss function converges, and obtaining an optimized kidney tumor segmentation model; and inputting the test set into the optimized kidney tumor segmentation model to obtain a kidney tumor segmentation result of the laparoscopic image. According to the method and the system, the prediction of finer granularity can be realized when the position of the kidney tumor is accurately positioned, so that a doctor is assisted in treating the kidney cancer in the process of partial renal resection, and the complexity of the doctor in surgical operation is reduced.

The invention discloses a safety control system for a surgical robot. The surgical robot comprises a moving mechanism for surgical operation. The system comprises a main control module, a dynamic authorization module, a safety judgment module and a moving mechanism brake module. The main control module sends an operation instruction to the dynamic authorization module and / or the moving mechanism; the dynamic authorization module analyzes an operation instruction into an authorization sequence after receiving the operation instruction sent from the main control module; the moving mechanism is used for receiving the operation instruction of the main control module and executing corresponding operation; and the safety judgment module is used for receiving the authorization sequence from the dynamic authorization module, carrying out safety boundary verification according to a safety boundary, and triggering the moving mechanism braking module to carry out braking operation on the moving mechanism when the safety boundary verification is abnormal.

The endoscope comprises an insertion tube, a tip part, a first bending control wire and a second bending control wire, and the insertion tube comprises a main body section, a first bending adjustment section and a second bending adjustment section which are sequentially arranged from the near end to the far end; the far end of the first bending control wire is connected to the first bending adjusting section; the far end of the second bending control wire is connected to the second bending adjusting section; the tip part is connected to the far end of the second bending adjusting section, and a camera is arranged on the tip part. According to the endoscope, the first bending adjusting section and the second bending adjusting section which can be bent independently are arranged on the insertion tube, the visual angle of the camera on the tip part can be adjusted through double-section bending adjustment, the visual field range which can be observed by the endoscope is wider, the operation of surgical instruments and the excision condition of diseased tissue can be better observed through the endoscope, and the operation efficiency is improved. And the surgical operation difficulty of surgical operators can be reduced to a great extent.

The invention discloses a screw feeding device which is suitable for a pedicle screw. The screw feeding device comprises an implanting mechanism and a torque applying mechanism which are in transmission connection with a pedicle screw; the torque applying mechanism is configured to be in an engaged state and a disengaged state with the implanting mechanism; when the torque applying mechanism and the implantation mechanism are in a joint state, the torque applying mechanism can transmit torque to the implantation mechanism; and when the torque applying mechanism and the implanting mechanism are in a separated state, the torque applying mechanism is separated from the implanting mechanism, so that the torque is prevented from acting on the implanting mechanism in the exiting process of the torque applying mechanism, and the pedicle screw is prevented from loosening. According to the vertebral pedicle screw, the operation time can be shortened, the operation steps can be simplified, the cooperation among instruments can be optimized, the complex operation of a surgeon on the cooperation of the instruments can be reduced, the vertebral pedicle screw cannot be loosened, and bone cement can be rapidly placed at the same time, so that the possibility of bone cement leakage and embolism can be reduced.

The invention provides a surgical robot testing method, device and equipment and a storage medium, and the method comprises the steps: obtaining various surgical operation data collected by a surgical robot in the actual surgical execution process; simulating an operation restoration execution process in a simulation environment based on various operation data; and in response to a test instruction for the surgical robot in the surgical restoration execution process, obtaining a test result corresponding to the test instruction. According to the method and the device, the test environment is ensured to be closer to a real operation scene through the simulated operation restoration execution process, and meanwhile, the test is performed on the operation robot in the operation restoration execution process, so that the test is more targeted, and the operation efficiency and effect of the subsequent operation robot can be remarkably improved.

The application belongs to the technical field of animal models for basic scientific research, and particularly relates to a method for establishing an acute lung injury animal model, which comprises the following steps: sending a podophyllotoxin or a podophyllotoxin reagent into a rat body through oral administration or intragastric perfusion to obtain the acute lung injury animal model. The method for establishing the acute lung injury animal model provided by the application uses the podophyllotoxin as an inducer for establishing a mouse acute lung injury model, and the mouse can orally take or intragastrically perfuse the podophyllotoxin to achieve the method, without needing a special medicine injection device, so that the method is simple in medicine taking, few in experimental steps, and does not need complex surgical operations.

An extremely-miniature surgical operation instrument belongs to the field of medical instruments and comprises an outer rod component, a forceps head component and an outer tube inner pull rod, the outer rod component and the forceps head component can be detached from each other, and the outer tube inner pull rod is mounted in the outer rod component in a penetrating manner. The forceps head is driven to be opened or closed under the mechanical movement of the forceps seat inner pull rod, the outer rod assembly and the forceps seat are detachably installed, the outer inner pull rod and the forceps seat inner pull rod are detachably installed, the outer rod assembly comprises a first outer pipe and a reinforcing pipe embedded in the first outer pipe, and the reinforcing pipe is connected with the first outer pipe. The rigidity and the toughness of the micro-rod instrument are considered through the combination of the reinforcing tube and the outer tube.

An embodiment of the present specification provides an incision apparatus for an endoscope. The incision apparatus for an endoscope comprises: an operating portion; a sheath tube, comprising an injection lumen and a cutting wire lumen, a proximal end of the sheath tube being connected to the operating portion; and a cutting wire, at least partially disposed within the cutting wire lumen, a proximal end of the cutting wire being connected to the operating portion, and the cutting wire comprising a cutting section, the cutting section extending out of the sheath tube from a side wall of the sheath tube and being used to form a knife portion for performing surgical operations.