12 results about "Necrotic tissue" patented technology

Embodiments disclosed herein generally relate to identifying necrotic tissue in a multiplex immunofluorescence image of a sample section. In particular, aspects of the present disclosure relate to: accessing a multiplex immunofluorescence image of a sample section comprising a first channel for a nuclear marker and a second channel for an epithelial tumor marker, wherein the sample section comprises one or more necrotic tissue regions; providing the multiplex immunofluorescence image to a machine learning model; receiving an output of the machine learning model, the output corresponding to a prediction that the multiplex immunofluorescence image comprises one or more necrotic tissue regions at one or more particular portions of the multiplex immunofluorescence image; generating a mask for subsequent image processing of the multiplex immunofluorescence image based on the output of the machine learning model; and outputting the mask for the subsequent image processing.

This invention belongs to the field of traditional Chinese medicine external preparation technology, specifically providing a traditional Chinese medicine ointment for treating chronic osteomyelitis, bone tuberculosis, and persistent sinus tracts, as well as its preparation method. The traditional Chinese medicine ointment provided by this invention comprises 3-10 parts of *Achyranthes bidentata*, 5-15 parts of dried ginger, 0.3-1 part of red mercury sulfate, 20-50 parts of calcined gypsum, 4-12 parts of gecko, 5-15 parts of buffalo hide, and 40-100 parts of medicinal ointment base. This invention selects *Achyranthes bidentata*, red mercury sulfate, calcined gypsum, gecko, dried ginger, and buffalo hide as the main ingredients, achieving a combination of warming and cooling properties, and a tonifying and purging effect. It can effectively clear deep pus, necrotic tissue, and dead bone, while also warming and unblocking meridians, improving local blood circulation, promoting wound healing, and reducing the irritation of the medication.

1. Name of the product in this design: Ultrasonic debridement machine. 2. Purpose of this design: To clean wounds, remove necrotic tissue, and improve the wound healing environment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This utility model relates to the field of medical device technology, and in particular to an ultraviolet (UV) light sterilization ultrasonic probe. It aims to solve the technical problem in related technologies where the probe can only remove necrotic tissue through the ultrasonic cavitation effect and mechanical vibration of the tip, failing to kill bacteria in the surgical area and thus requiring an external UV lamp source for sterilization. The UV light sterilization ultrasonic probe includes a probe body and a sterilization component. The probe body includes a working rod, a handle, and a transducer. The sterilization component includes an ultraviolet lamp. By mounting the ultraviolet lamp on the working rod, the UV light emitted by the lamp kills bacteria in the surgical area, achieving a synergistic sterilization effect while simultaneously cleaning the wound. This overcomes the technical problem of existing ultrasonic probes that can only remove necrotic tissue through the ultrasonic cavitation effect and mechanical vibration of the tip, failing to kill bacteria in the surgical area and thus requiring an external UV lamp source for sterilization.

The application relates to the technical field of medical drainage devices, in particular to a post-thyroid-surgery drainage auxiliary device which comprises a collecting bag, a drainage tube, an adjusting cylinder and a stretching cylinder, one end of the drainage tube is communicated with the collecting bag, the adjusting cylinder is sleeved outside the middle part of the drainage tube, the stretching cylinder is sleeved outside the drainage tube, the inner side of the adjusting cylinder is provided with a plurality of extrusion plates, the inner side of the adjusting cylinder and the plurality of extrusion plates are provided with an anti-blocking mechanism, and the drainage tube is provided with a flexible spiral tube inside the stretching cylinder. The post-thyroid-surgery drainage auxiliary device is matched with the anti-blocking mechanism, the extrusion plates and the ball, can drive the extrusion plates to extrude the drainage tube, the ball reduces the friction damage between the drainage tube and the extrusion plates during extrusion, can effectively disperse the blood clots and necrotic tissue debris accumulated in the tube, avoids the blockage of the drainage tube, does not need the hand pinching type dredging of medical staff, greatly reduces the clinical nursing workload, guarantees the continuous smoothness of the drainage passage, and meets the clinical efficient drainage requirement.

The application discloses a combined debridement device for surgery, and relates to the technical field of medical devices, which comprises a device shell and a surgical cutter, the surgical cutter is fixedly inserted into the inside of the device shell, the bottom end of the surgical cutter is exposed from the device shell, and a debridement auxiliary mechanism is arranged on the surface of the device shell, the debridement auxiliary mechanism comprises guide shells arranged on the two sides of the device shell, a moving plate is slidably connected to the inside of the guide shell, a connecting branch is fixedly connected to the bottom end of the moving plate, a cutter support strip is fixedly connected to the bottom end of the connecting branch, the cross section of the cutter support strip is in the shape of an arc, a second screw rod is threadedly inserted into the top end of the moving plate, and a driven wheel is rotatably connected to the inside top end of the guide shell, so that the stability requirement of the operator using the surgical cutter in the process of removing necrotic tissues is higher, and the debridement operation threshold is higher.

This invention relates to the field of medical image processing and discloses a method and application for high-risk / low-risk classification of MVI-positive hepatocellular carcinoma. The method includes: acquiring and registering three-dimensional enhanced CT image sequences to generate a tumor target area and a background liver parenchyma mask; calculating the temporal gradient to construct a two-dimensional temporal perfusion vector and extracting a subset of target blood supply for screening; determining a baseline vector based on the background liver parenchyma, projecting the screened vector to obtain orthogonal components and generating an intensity scalar field; combining the tumor boundary normal vector field with the spatial gradient for weighted summation to generate a target feature field; extracting image features from the target feature field and concatenating clinical variables, inputting the data into a classifier model to output high-risk / low-risk classification results. By screening active blood supply areas to eliminate interference from necrotic tissue, using baseline vector projection to eliminate measurement bias caused by individual circulatory differences, and combining spatial gradients to quantify the diffusion direction of abnormal blood supply, the accuracy of the model's high-risk / low-risk classification prediction is improved.

This invention belongs to the field of traditional Chinese medicine technology, specifically relating to a traditional Chinese medicine composition for ulcer repair and tissue regeneration, its preparation method, a traditional Chinese medicine ointment, and its application. The traditional Chinese medicine composition includes the following components: calamine, calcined gypsum, calcined dragon bone, red lead, pearl, camphor, borneol, borax, yellow gelatin, and lanolin. The traditional Chinese medicine composition provided by this invention has the effects of removing necrotic tissue and promoting tissue regeneration, drying dampness and promoting skin growth. It is used to treat vascular-related ulcers such as thromboangiitis obliterans, lower extremity arteriosclerosis obliterans, and lower extremity venous ulcers, and can also treat various chronic and difficult-to-heal ulcers such as bedsores and postoperative wound non-healing, with significant therapeutic effects. This invention also uses specific excipients, namely, utilizing the synergistic effect between refined honey, rosin, and menthol, to prepare an ointment with better permeability and bioavailability.

The present application belongs to the technical field of biological medicine, and relates to a polypeptide composition and a preparation method and application thereof. The polypeptide composition uses sodium carboxymethyl cellulose and xanthan gum as raw materials to prepare a pH-sensitive hydrogel capable of rapidly solidifying at a wound site. The hydrogel wraps polypeptide active ingredients, is applied to an affected part, rapidly solidifies to form a hydrogel film, firmly covers the skin of the affected part, maintains the stable and moist environment of the affected part, softens necrotic tissue, reduces scabbing, continuously releases active polypeptide ingredients, prolongs the action time, and shortens the repair period. The polypeptide ingredients in the composition are compounded by arginine / lysine polypeptide, hexapeptide-11, palmitoyl tetrapeptide-7 and palmitoyl tripeptide-1. The four polypeptides synergize through multiple targets and multiple stages to construct a whole-cycle repair system with anti-inflammatory, repair-promoting and anti-scarring functions, and are suitable for various skin wound scenes.

This invention discloses a method for surgical patient wound care based on visual image processing, belonging to the field of image processing technology. The method acquires an initial multispectral image sequence of the surgical patient's wound area, including visible light and near-infrared images; inputs the visible light images into a pre-trained wound region segmentation network to extract wound contour features and generate a binary wound mask; extracts depth feature data of the wound tissue from corresponding positions in the near-infrared images based on the binary wound mask; constructs a three-dimensional morphological model of the wound base using the depth feature data and calculates the curvature gradient of each pixel in the model; and identifies the transition zone boundary between necrotic tissue and healthy granulation tissue in the wound base based on the curvature gradient. This method achieves a precise assessment of the wound condition through multispectral image co-processing and three-dimensional curvature gradient analysis.

This invention relates to the field of biomedical materials technology, specifically to a composite microsphere material for sequentially regulating macrophage polarization and its preparation method. The material employs a core-shell structure design, with a core layer of GELMA hydrogel containing WKYMVm short peptides and a shell layer of a composite material of graphene oxide and PVA. The preparation method includes: preparing core and shell solutions, preparing W / O emulsion droplets using microfluidic technology, UV photocrosslinking, washing and purification, and shell coating. This material can promote M1-type macrophage polarization to clear necrotic tissue in the early stages of bone repair through graphene oxide. As the shell hydrogel degrades, the WKYMVm short peptides are gradually released, promoting M2-type macrophage polarization to inhibit inflammation, promote angiogenesis, and facilitate bone repair. This invention achieves precise temporal regulation of macrophage polarization, exhibits good biocompatibility and biodegradability, and has a simple and controllable preparation process, showing broad application prospects in the field of bone defect repair.

This invention provides a method and system for quantifying the volume of peripancreatic necrotic tissue based on enhanced CT images, belonging to the field of medical image processing technology. The method involves constructing and training a deep convolutional neural network model to automatically segment enhanced abdominal venous phase CT images, outputting a pixel-level probability map of peripancreatic necrotic tissue. The probability map is then converted into a three-dimensional segmentation mask using image morphology processing algorithms. The volume of peripancreatic necrotic tissue is calculated based on the number of voxels and the volume of a single voxel in the three-dimensional segmentation mask. This invention solves the problems of high subjectivity, low accuracy, and time-consuming and laborious manual layer-by-layer delineation in traditional manual estimation. It achieves full automation of the peripancreatic necrotic tissue segmentation and volume quantification process, providing an objective, accurate, and repeatable quantitative tool for assessing the severity of acute pancreatitis, selecting intervention timing, and dynamically monitoring treatment efficacy.