8 results about "Surgical excision" patented technology

The present invention belongs to the technical field of immune cell culture, and specifically relates to a composition and kit for expanding tumor infiltrating lymphocytes, and an expansion method therefor. Provided is a composition for expanding tumor infiltrating lymphocytes for a trace amount of tumor tissue, i.e., a tumor biopsy sample, to perform the expansion of tumor infiltrating lymphocytes, which solves the problem that a large amount of a tumor tissue sample is required for tumor infiltrating lymphocytes, and is suitable for patients who cannot undergo surgical resection to obtain tumor tissue. In addition, by means of optimizing the combination and working concentration of antibody stimulants, a process flow for expanding tumor infiltrating lymphocytes on the basis of biopsy samples is established, such that the stemness of the expanded tumor infiltrating lymphocytes is maintained, and the killing ability is improved, thereby ensuring the anti-tumor efficacy after reinfusion into the body.

The application discloses a kind of clinical planning-oriented CT liver anatomical structure intelligent processing method and system, method includes: receiving CT image data, and the preprocessing operation of voxel resampling, gray standardization and direction correction is executed to CT image data;The inference of CT image data after pre-processing is carried out, and the blood vessel tree structure and liver segment segmentation result are obtained;Based on blood vessel tree structure and liver segment segmentation result, it is judged whether segmentation result satisfies the quality standard of clinical operation planning;If segmentation result satisfies quality standard, then using three-dimensional reconstruction algorithm generates the interactive three-dimensional grid model of liver, blood vessel and liver segment structure;Based on three-dimensional grid model, each liver segment volume, simulated surgical resection range, estimated future remaining liver volume and measured adjacent relationship of focus and key blood vessel are calculated, and structured analysis report for preoperative planning is generated. Utilize the embodiment of the application, the precision of liver anatomical structure segmentation and clinical applicability can be improved.

The utility model discloses a neurosurgery microscopic tumor taking forceps, which comprises a head part (1), a body part (2) and a tail part (3), the tail part (3) is arranged at the rear end of the body part, the head part (1) is arranged at the front end of the body part (2), the head part (1) is provided with a tumor taking spoon (11), the body part comprises a trunk body (21), a connecting part (22) and a handheld part (23), the trunk body (21) is connected with a handheld part (23) through a bent connecting part (22), a protruding part (230) is arranged on the outer side face of the handheld part (23), and a cylindrical protrusion (231) for preventing the tumor taking forceps from deforming is arranged on the inner side face, away from the tail, of the handheld part (23). The tumor can be effectively clamped, the difficulty of surgical excision of hard and tough tumors is reduced, and the hand fatigue caused by long-time holding of tumor taking forceps by an operator is effectively relieved.

In accordance with aspects of the inventive concepts, provided is a marker device, comprising: an elongate element; a needle disposed at a distal end of the elongate element; and at least one radiopaque marker element coupled to or disposed on at least a portion of an outer surface of the elongate element. The at least one marker can include radiopaque portions. The at least one radiopaque marker element can be or include a helical coil wrapped around a suture element. Also provided is a method of marking a surgical site comprising suturing a marker device into the surgical site. The method can include sewing or otherwise attaching the marker device to the soft tissue at boundaries of an excision site. Also provided is a method of making a marker device.

The invention discloses a clinical planning-oriented CT liver anatomical structure intelligent processing method and system, and the method comprises the steps: receiving CT image data, and carrying out the preprocessing operation of voxel resampling, gray level standardization and direction correction on the CT image data; reasoning the preprocessed CT image data to obtain a blood vessel tree structure and a liver segment segmentation result; based on the blood vessel tree structure and the liver segment segmentation result, whether the segmentation result meets the quality standard of clinical operation planning or not is judged; if the segmentation result meets the quality standard, generating an interactive three-dimensional grid model of the liver, the blood vessel and the liver segment structure by using a three-dimensional reconstruction algorithm; calculating the volume of each liver segment based on the three-dimensional grid model, simulating an operation excision range, estimating the volume of the future residual liver, measuring the proximity relation between a focus and a key blood vessel, and generating a structured analysis report for preoperative planning. According to the embodiment of the invention, the accuracy and clinical applicability of liver anatomical structure segmentation can be improved.

The invention relates to the technical field of medical image processing, in particular to a general surgery department acute abdominal disease operation planning system based on AI image analysis, which comprises an image data acquisition module, a focus feature extraction module, an ischemia analysis module, an operation scheme construction module and a diagnosis result generation module. According to the method, uniform expression of multi-source data in space is guaranteed through numerical fitting and registration of an image sequence, multi-angle extraction of pathological features is achieved by combining quantitative indexes such as intestinal wall thickness, orifice expansion and hydrops density, and systematic marks are formed through deep learning feature fusion. A potential ischemic area can be quickly identified under the condition of complex abdominal lesion, accurate definition of a lesion range is realized by utilizing perfusion indexes and continuous section screening, and a relationship between lesion length and anatomical space is further calculated, so that a quantitative basis is provided for an operation excision range and an anastomosis condition; deviation caused by subjective judgment is reduced, and the pertinence and the executability of a treatment scheme are improved.

This utility model discloses a surgical excision device, relating to the field of surgical instruments. It includes a handle with an L-shaped groove at its front end. Two shearing blades are laterally rotatably connected to the bottom surface of the L-shaped groove, and the bottom surface of the L-shaped groove has an elastic structure for opening the two shearing blades. By inserting the shearing blades into the body at the excision site, pushing the push plate forward moves the gate-shaped plate and two limiting blocks towards the tip of the shearing blades. Simultaneously, the two limiting blocks, through wedge-shaped engagement with the slope extrusion strip, move the two shearing blades closer together to cut off the tumor mass. The shearing blades are then removed, and the two support arms are flipped so that two gripping scoops are fixed to the tip of the shearing blades by a fixing structure. The two gripping scoops are then opened and closed to grasp the tumor mass into the elastic membrane of the gripping scoops and remove it. The entire operation is quick and convenient, avoiding the use of multiple instruments. Furthermore, the membrane design better protects the tumor mass during the grasping process, improving practicality.

Disclosed in the present invention are an endoscopic ultrasonic image-based lesion excision risk evaluation method, system and apparatus, the method comprising: using an object detection model to perform object detection on an endoscopic ultrasonic image to obtain a first detection result and a second detection result; on the basis of the first detection result, cropping the endoscopic ultrasonic image to obtain a first target image and, on the basis of the second detection result, cropping the endoscopic ultrasonic image to obtain a second target image; using a semantic segmentation model to segment a landmark region in the second target image to obtain a third target image; detecting scale line segments in the first target image and, on the basis of the scale line segments, calculating a physical length corresponding to each pixel; extracting feature parameters of the endoscopic ultrasonic image, the feature parameters comprising a physical length feature parameter; and, on the basis of the feature parameters, evaluating a perforation probability. The present invention accurately predicts perforation risks during surgical excision, provides a solid basis for subsequent quantitative analysis, and improves the safety of gastrointestinal tumor surgery.