55 results about "Pathology Examination" patented technology

A pathological diagnosis support device, a pathological diagnosis support program, a pathological diagnosis support method, and a pathological diagnosis support system extract a pathological tissue for diagnosis from a pathological image and diagnose the pathological tissue. A tissue collected in a pathological inspection is stained using, for example, hematoxylin and eosin. In consideration of the state of the tissue in which a cell nucleus and its peripheral constituent items are stained in respective colors unique thereto, subimages such as a cell nucleus, a pore, cytoplasm, interstitium are extracted from the pathological image, and color information of the cell nucleus is also extracted. The subimages and the color information are stored as feature candidates so that presence or absence of a tumor and benignity or malignity of the tumor are determined.

The invention relates to a thyroid CT image computer-aided diagnosis system and method. The problem that currently, many defects exist in the thyroid disease diagnosis through physical examination, ultrasonic scanning and radioisotope scanning is solved. The system comprises an input module, an image texture characteristic extracting module, a classified diagnosis module and an output module which are sequentially connected. The method includes the steps of conducting outline segmenting and extracting on an image, then conducting texture characteristic analysis on the image to obtain the 28-dimension texture characteristic, and finally substituting the 28-dimension texture characteristic into a diagnosis model to obtain a diagnosis result and a statistics index. The thyroid CT image computer-aided diagnosis system and method have the advantages that non-invasiveness, rapidness and timeliness are achieved; no chemical reagents or the like are needed, and cost is low; complexity of a lesion thyroid texture characteristic sample set is effectively reduced, and identification accuracy can be further improved; the result is not affected by man-made subjective factors and is prevented from being affected by man-made subjective factors in the pathological examination and other examinations.

Guided biopsy is a commonly used method to remove suspicious tissues from an internal organ for pathological tests so that malignancy can be established. Provided herein are systems and methods (i.e., utilities) that allow for automated application of one or more predefined biopsy target plans to an acquired medical image including without limitation, an ultrasound prostate image. Due to different shapes and sizes of prostates as well as orientation of prostate with respect to an ultrasound probe during image, acquisition a simple prostate model (e.g., ellipse) with a fixed plan may not be sufficient. Accordingly, it has been determined that a deformable shape model with integrated biopsy target locations / sites may be fit to a prostate image to provide improved automated biopsy targeting.

The present invention is one kind of reagent for quick immune histohcemical detection of lymphatic metastasis of mammary cancer and corresponding detecting method. Several kinds of directly marked antibody capable of distinguishing metastatic cancer cell and inherent lymph node cell are mixed into reagent and one-step reacted to stain the metastatic cancer cell in lymph node specifically. The present invention is used in the fast pathological diagnosis of early lymphatic metastasis of mammary cancer, and has raised sensitivity, high accuracy and high specificity.

A position of a pathological examination on a radiographic image, such as a CT image and an MRI image, is stored beforehand in association with the radiographic image. When the radiographic image is displayed on a monitor device, a marker indicating the position of the pathological examination, which is stored in association with the human body image, is displayed at a corresponding position on the radiographic image displayed on the monitor device. Further, information (a pathology image and a pathology report) on the pathological examination of a tissue collected from the position of the pathological examination is displayed simultaneously with the radiographic image. Therefore, the position of the pathological examination can be accurately grasped on the radiographic image, and the correspondence relationship between the image at the position (biopsy site) of the pathological examination on the radiographic image, and the information on the pathological examination can be clearly grasped.

The invention discloses a portable fundus camera used for pathological examination on fundi of human eyes medically. Images of the fundi of the human eyes are obtained through an optical imaging method, and therefore fundus pathologies and focuses can be judged.

The invention discloses an active monitoring and early warning system of infectious diseases in a medical institution. The active monitoring and early warning system comprises a diagnosis data rule base, an inspection index rule base and an image and pathologic examination rule base. According to the active monitoring and early warning system, influences, caused by personal factors, on monitoring of the infectious diseases in the medical institution are reduced to the greatest extent; a manual monitoring mode is changed so that disease monitoring can be seamlessly integrated with an existing information system of a hospital; intelligent monitoring and whole-course monitoring of the infectious diseases are realized; the missing report rate and late reporting rate of the infectious diseases, especially major infectious diseases, are reduced; the monitoring management efficiency on the infectious diseases of the medical institution is improved.

The invention discloses a preparation method for a novel non-alcoholic fatty liver disease model. The preparation method comprises the following steps: a, randomly dividing fed mice into two groups, with one group being a model group and the other group being control mice, recording states everyday and taking urine, hepatic tissue and blood for lipid analysis; b, processing experimental subjects; c, building a model; d, collecting hepatic tissue and blood; e, preparing conventional frozen sections from hepatic tissue specimens of the mice, taking materials, wrapping the frozen sections with common glue and then successively carrying out dyeing and sealing; f, carrying out conventional pathological examination on model mice; g, carrying out conventional pathological examination on control mice; and h, comparing results of dynamic analysis of hepatic tissue fat obtained in step f and step g. The novel non-alcoholic fatty liver disease model established in the invention has the advantages of reasonable route, easy operation and strong pertinency and is an effective tool for further research on the non-alcoholic fatty liver disease.

The invention provides a tumor image report diagnosis result and pathological result correspondence and evaluation system, which comprises: an image report screening module for screening all tumor image structured reports of image examination items of a patient in a preset time period, including pathological examination sampling parts, on the basis of pathological examination of the patient; a first extraction module which identifies the image examination part and the diagnosis result, and extracts the code of the image examination part and the code of the first diagnosis type; a second extraction module which is used for identifying a sampling part and a pathological result of pathological examination and extracting a code of the sampling part and a code of a second diagnosis type; a diagnosis quality judgment module which judges the conformity of the diagnosis result and outputs a judgment result based on a judgment rule; and a judgment result display module which displays the judgment result in a patient list. The invention further discloses a tumor image report diagnosis result and pathological result correspondence and evaluation method. According to the invention, the diagnosis result and the pathological result can automatically correspond to evaluate the image report, the efficiency is improved, and errors are reduced.

The invention relates to a method and equipment for printing a data element for pathological examination to a slide, and a slide pushing machine. The method includes: providing a print format setting interface, and setting and displaying a print preview area therein. The print preview area is used for displaying a preview image corresponding to printing information, and the size of the print preview area in a display area on a display screen is zoomed in equal proportion to that of an actual slide label area. Thus, a user can observe a final printing effect through the print preview area.

The invention discloses a dual-wavelength enhanced Raman endoscopic non-invasive pathological detection device and a detection method, which are combined with endoscope detection, Raman detection and pathological analysis to directly detect a Raman spectrum of tissues in a living body and perform non-invasive pathological analysis based on an artificial intelligence method through spectral information to replace traditional invasive pathological examination. By constructing a signal enhancement device, the measured Raman spectrum signal is enhanced, and the nondestructive pathological analysis of the in-vivo tissue is effectively realized. Two kinds of laser with different wavelengths are used for detecting tissue signals of the same part, the difference value is calculated through the two sets of signals, the fluorescence influence is eliminated, and the measurement signal-to-noise ratio of the Raman endoscope is increased. The endoscope lens of a self-focusing structure is designed, self-focusing and zooming of the endoscope are achieved on the basis that the diameter of the endoscope lens is not increased through built-in supporting legs, and three-dimensional scanning pathological detection of a sample is achieved on the basis that a more stable and clearer spectrum result is obtained. Through adoption of an artificial intelligence pathology analysis method, non-invasive pathology detection is effectively realized.

The invention relates to a processing method for a bar code used for pathological examination. The method includes the following steps: a sample information processing instruction is received; whether the received instruction is an instruction for printing the bar code is detected; if so, the serial number of the bar code to be printed is generated; whether a plurality of pieces of bar codes need to be printed is detected; if so, a plurality of pieces of bar codes are printed as requirement. Compared with the prior art, the method of the invention prints the patient information onto a small bar code and then the carriers which are generated in a pathological examination process and require patient information, such as the slide, paraffin and application forms, etc. all can adopt the printed bar code to displace the handwritten patient information so as to well prevent the user input errors happening in the present pathology department management system and largely enhance the pathological examination efficiency.

The invention belongs to the technical field of hepatobiliary surgery treatment information sharing. The invention discloses a hepatobiliary surgery treatment information sharing system and sharing method based on Internet. The hepatobiliary surgery treatment information sharing system based on the Internet comprises a patient information acquisition module, an information processing module, a diagnosis module, a central control module, a treatment information generation module, a network communication module, an illness state prediction module, a prevention and control module, a database anda display module. According to the hepatobiliary surgery treatment information sharing system and sharing method based on Internet, benign and malignant lumps are identified by utilizing the classifier trained by a textural feature data set of the liver CT image through the diagnosis module, and the result is not influenced by human subjective factors, so that the human subjective factor influenceof pathological examination and other examinations is avoided, and the diagnosis accuracy is greatly improved; and meanwhile, by utilizing a prediction model based on a deep learning technology through the illness state prediction module, the problem that the small difference of the gene expression quantity is difficult to grasp due to subjectivity of people is solved, and positive significance is achieved for development of gene therapy of liver cancer.

The invention relates to a gastroscope video part recognition network structure based on Transformer. On the basis of feature extraction of a convolutional neural network, the relationship between video frames in a time sequence is fused through a Transform structure, so that the accuracy of video recognition is improved. Compared with 2DCNN classification which can only pay attention to information of a single picture, and 3DCNN convolutional network which is relatively high in parameter quantity and can only pay attention to local time channel information, the structure has the advantages that information between frames is aggregated by utilizing an attention structure of transformer, so that the classification result is more accurate, and the classification precision during gastroscope video identification can be effectively improved. The position of the gastroscope is positioned in real time under endoscopic examination, and the category of the alimentary canal part in the video is accurately recognized. The structure assists a doctor in gastroscope shooting and diagnosis, improves the overall gastroscope video shooting quality, carries out sampling for subsequent pathology examination, and has significant significance and actual function requirements.

The invention provides a preparation method of a collagen-induced arthritis animal model. The method includes the steps that 6-8 week old male DBA / 1 mice are selected; the mice selected in step (1) are placed and raised in a clean animal room where the temperature is 20-24 DEG C, the humidity is 50%-60%, and light and dark are alternating every 12 hours, the mice are free to take food and drink water, and after three days of acclimatization the mice are used for preparing the model; a chicken type-II collagen is used for immunizing the DBA / 1 mice to induce the CIA model, and the mice are immunized by intradermal injection into the tail bases of the mice; three immunizations are conducted. The method is of great significance for the pathological mechanism study and drug development of arthritis. Meanwhile, an evaluation method of the collagen-induced arthritis animal mode, through arthritis clinical index grading, ankle joint pathology examination, and determination of serum anti-CII-IgG antibody level and other indicators, is used for verifying whether the model is successful and comprehensively evaluating the collagen-induced arthritis animal model.

The present invention relates to a method for diagnosis of bile duct cancer, using methionyl-tRNA synthetase (MRS) in bile duct cells and, more particularly, to a composition for diagnosing bile ductcancer, comprising an agent with which an expression level of methionyl-tRNA synthetase protein is measured, a diagnostic kit, and a method for qualitative or quantitative analysis of MRS to provide information necessary for the diagnosis of bile duct cancer. According to the present invention, MRS retains a very high value as a diagnostic marker for bile duct cancer in terms of rapidity and accuracy because MRS allows determination to be made to see whether bile duct cancer is present or absent for bile duct cells, which have been classified as atypical cells by conventional pathological examination methods. Hence, the present invention provides a method for discriminating between cancer cells and normal cells in atypical cells and can make a definite diagnosis of cancer with almost 100 %in all of sensitivity, specificity, and accuracy in contrast to many conventional cancer markers with which an actual result of diagnosis is substantially difficult to obtain at a cell level (that is, cytodiagnosis).

The invention relates to an adjustable puncture device for pathological examination. The adjustable puncture device for pathological examination comprises a base, two first vertical plates fixed on the base and perpendicular to the base, two second vertical plates slidably arranged in the two first vertical plates, and a steering plate rotatably installed between the two second vertical plates. When sampling work of pathological examination is carried out, an elastic driving mechanism works in the forward direction, the penetrating depth of a puncture needle is controlled through a display device, the puncture needle stores corresponding elastic potential energy, a direction adjusting mechanism works to drive the steering plate to ascend or descend, the puncture needle is adjusted to a proper puncture height, then the steering plate is driven to drive the puncture needle to rotate, so that the puncture angle is adjusted, the elastic potential energy stored by the puncture needle is released, the elastic driving mechanism works reversely, finally, the puncture needle punctures into a body cavity of a patient, and in the movement process of puncturing into the body cavity of the patient, a speed reduction assembly is used for reducing the speed.

The invention provides a remote dynamic pathological diagnosis method, and relates to the technical field of pathological diagnosis. The remote dynamic pathological diagnosis method comprises the steps that S1 a remote dynamic pathological examination hospital is established in cities or villages with backward medical standards; a remote diagnosis cloud platform is set up for the remote dynamic pathological examination hospital; well-known experts from all over the country are invited to join the remote diagnosis cloud platform; and data synchronization and sharing are realized between the hospital terminal and expert terminals and between various expert terminals. By establishing the remote dynamic pathological examination hospital and connecting the remote dynamic pathological examination hospital with experts and patients, the patients can be diagnosed without a relevant disease expert in the local area, which prevents the patients from going to a remote clinic. The efficiency of patient consultation is greatly improved. In many areas where medical conditions are relatively backward and related expert resources are scanty, the remote pathological diagnosis technology can be usedto improve medical conditions.

The invention discloses application of donkey-hide gelatin in preparing haze-prevention medicine or health-care products and belongs to the field of new medical application of donkey-hide gelatin.According to the application, SD rats inhale air fine particles in consecutive eight weeks, the rats are subject to gavage with different dosages of donkey-hide gelatin solutions for medicine intervention while contaminated, and the damage mechanism generated by toxicity and the protection effect mechanism of donkey-hide gelatin on respiratory system damage caused by air fine particles are studied from weight, organ coefficients and lung functions in combination with the aspects of hematology, blood biochemical index measurement, respiratory functions, tissue pathology examinations and oxidation damage.It is found through experiment results that donkey-hide gelatin can effectively decrease the content of malondialdehyde and the number of lung phagocytic cells and increase the content of glutathion peroxidase, definite relieving effects are achieved on rat lung function and lung pathologic changes caused by air fine particles, and donkey-hide gelatin can be used for preparing haze-prevention medicine or health-care products.

The invention discloses a ureter ligation induced non-human primate animal renal fibrosis model building method and application. The specific technical scheme includes that an experimental monkey is anaesthetized by anesthetics, surgical anesthesia is maintained, the abdomen of the experimental monkey is cut apart along a medioventral line after disinfection, an abdominal cavity is opened, an operation field is exposed, a unilateral ureter at a unilateral renal lower edge is ligated twice by a surgical silk thread and completely blocked, another kidney is not ligated and serves as a self-body for comparison, a wound is stitched in a layered manner after a surgical incision is disinfected, renal fibrosis indexes are measured by biological samples at different time points after ligation, or a left kidney and a right kidney are taken down and fixed in neutral buffered formalin, and formalin fixed kidney samples are subjected to tissue section and pathological examination. An animal model has application values which cannot be realized by an existing rodent and rabbit animal model, and the non-human primate animal model built by the method has wide application in related fields of fibrosis.

Embodiments of the invention provide high affinity recombinant EpCAM-binding antibodies. Methods of using a such antibodies as imaging agents, diagnostics and therapeutics are also provided. Dual-nuclear and fluorescently labeled or singly fluorescently labeled contrast agents promise the advantage of molecularly-guided surgical resection via surgical field near-infrared fluorescence (NIRF) imaging following (in the case of dual labeled agents) nuclear imaging for general localization. Currently, nodal staging of most cancers is performed following lymph node (LN) biopsy and dissection for subsequent pathological examination.

The invention discloses a sample taking-out device for assisting a colonoscopic surgery in the technical field of medical care equipment. The sample taking-out device comprises an object taking pipe,wherein a sleeve is sleeved and connected onto the outer wall of the object taking pipe; three support plates are uniformly arranged at the bottom of the outer wall of the object taking pipe; a position limiting ring is arranged on the top of the outer wall of the object taking pipe; three linkage plates are uniformly arranged in the middle part of the outer wall of the sleeve; the other ends of the linkage plates and the other ends of the support plates are provided with annular expansion plates; a rubber ring is sleeved and connected onto the top of the outer wall of the sleeve; three connecting rods are uniformly installed on the top of the rubber ring; connecting pipes are arranged on the tops of the three connecting rods; an anti-slip sleeve is sleeved and connected onto the outer wall of the connecting pipe; through the combination of devices of the expansion plate, the sleeve, the linkage plate and the like arranged on the device, the expansion on the anus is convenient; the crissum muscle contraction is relieved; the taking of giant adenoma is convenient; the influence on pathological examination is reduced.

The invention discloses a tumor tissue pathology classification system and method based on adaptive proportional learning, and the method comprises the steps: firstly obtaining a plurality of pathological sections, carrying out the digital scanning, carrying out the manual marking of a scanned pathological image according to a classification task target category, and constructing a data set; segmenting the tissue foreground by using the difference distribution characteristics of RGB channels and gray values, and constructing a training data set of image blocks containing multi-stage magnification times; and finally, performing multi-stage amplification factor integration, combining the cross moisture function of each stage of amplification factor and the integration amplification factor to form a loss function, and achieving multi-amplification factor integration learning; and through adaptive proportion learning, performing dynamic adjustment on image global proportion labels and image block training weights which do not reach the lowest proportion, and therefore, the data utilization rate is increased, and rapid convergence is realized. In the pathological examination of daily tumor tissues, the detection rate is improved to the greatest extent on the basis of increasing extra workload as low as possible.

The present invention discloses a new type of non -alcoholic alcoholic fatty liver disease model preparation method, including the following steps: a. Randomly divide the rats in two groups, the first group: model group: second group: control mice; daily record status and statement of the status of the state and the status of each day;Analysis of urine, liver tissue and blood as lipid analysis; b. Treatment of experimental objects; c. Create model; d. Hepatitis tissue and blood collection; e.Slice and dyeing seal; e. Pathological examination of the model mice routine; f. Pathological examination of the control of the control mice; dynamic analysis of the liver tissue fat obtained in the steps of f) and g).The new type of non -alcoholic fatty liver disease model established by the present invention has reasonable routes, easy operation, and strong targeted. It is an effective tool for further studying non -alcoholic fatty liver.

The invention discloses a negative pressure conveying pathological examination full-process system for an infectious specimen. The negative pressure conveying pathological examination full-process system for the infectious specimen comprises a corpse dissecting chamber, a visceral organ specimen sampling chamber, a sampled specimen retention chamber, a pathological technology chamber and a monitoring control chamber, wherein the corpse dissecting chamber, the visceral organ specimen sampling chamber and the pathological technology chamber are in one-way communication through a flow line systemand a conveying passage; the negative pressure in each chamber is gradually reduced, so that internal gas is in one-way flow; the visceral organ specimen sampling chamber is in two-way communicationwith the sampled specimen retention chamber through a flow line system and a conveying passage; the monitoring control chamber communicates with each chamber through a video conversation system and aremote operation system; graphic and text information of the pathological examination is uploaded to a pathological data analysis center through a wireless information system; and air intake exhaust and purification systems are arranged at the ends of the corpse dissecting chamber and the pathological technology chamber. The negative pressure closed pathological anatomy material taking system in an automatic flow line mode designed according to the invention is suitable for being applied to pathological examination of visceral organs and tissues.

The invention discloses a pathological biopsy electromagnetic cabin of a capsule endoscope. The electromagnetic cabin is composed of an iron core, a coil, an armature, contact reeds (cabin incisor knifes) and the like. A pill of the capsule endoscope enters stomach and intestine through esophagus. The situation in the stomach and intestine is monitored and checked through a display; if pathological changes such as polyp lumps are found, the pathological biopsy electromagnetic cabin (1) is remotely controlled in vitro and stops and attaches to pathological tissues, a magnetic biopsy cabin bodydoor (2) is opened by remote control, a sucker (carried by the intelligent capsule endoscope) is controlled to be fixed to the pathological tissues, the cabin incisor knives (3) and (4) are selected according to specific conditions to bite off the pathological tissues (5), and then the magnetic biopsy cabin body door is controlled to be closed. After intestinal tract cavity examination is completed, the electromagnetic cabin is excluded from the body, and pathological tissues are collected for pathological examination.

The invention discloses a PET / CT automatic lung cancer diagnosis classification model training method based on pathological feature assistance, and belongs to the field of medical images. The method comprises the following steps: training a classification network of pathological images to preferentially obtain a group of better pathological classification network model parameters; and obtaining the feature information of the pathological image through the group of parameters to guide feature extraction of the PET / CT image classification network, so that the precision of the PET / CT image classification network is improved, popularization and application of early lung cancer diagnosis and classification based on PET / CT images are facilitated, and help is provided for diagnosis and subsequent follow-up visit of clinicians. According to the invention, before the subsequent invasive pathological examination is not carried out, a more accurate lung cancer diagnosis classification result close to a pathological diagnosis result can be achieved only through a noninvasive PET / CT image, so that the diagnosis efficiency of a clinician can be effectively improved, and the wound of a patient is reduced.