11 results about "Pathology Examination" patented technology

The invention relates to the field of image processing, and provides a medical examination film reading control method and device and an image filing and communication system. The method comprises the steps that pathological detection results are added into a queue, and when the remaining radiograph reading completion duration corresponding to any two pathological detection results in the queue is larger than or equal to a first threshold value, the more key pathologies hit by the pathological detection results are, the higher the priority is; and generating a label and sending the label to an image archiving and communication system, determining a film reading sequence corresponding to the object by the system according to the label, displaying the image and the label of the object based on the film reading sequence, and updating the film reading sequences corresponding to other objects. For different objects with sufficient remaining radiograph reading completion time, according to the method, examination of suspected critical pathology objects is put at a higher priority, so that the purpose of accelerating the radiograph reading of critical pathology examination is achieved, the actual time consumption of medical examination of the suspected critical pathology objects is shortened, and the medical examination efficiency is improved. And the occurrence of acute diseases, dangerous diseases and worsening caused by too long film reading time is reduced.

The invention relates to the technical field of medical biopsy instruments, in particular to an endoscopic biopsy device for respiration and critical diseases, which comprises a catheter, a cylindrical sealing piston head is slidably mounted in the catheter, an up-down through vent hole is formed in the sealing piston head, and one end, positioned in vitro, of the catheter is connected with negative pressure; a branch pipe with the tail end sealed is further arranged at the end extending out of the body, a stay wire hole is formed in the center of the sealing piston head, and a stay wire is slidably installed in the stay wire hole. One end of the pull wire extends out of the branch pipe and is provided with a pull ring; one end, far away from the pull ring, of the pull wire is provided with an umbrella-shaped cutting head and a limiting ring; the bottom of the cutting head is provided with a circle of annular cutting edge, the annular cutting edge is located above the sealing piston head, the limiting ring is located below the cutting head, and the distance between the annular cutting edge and the cutting head is larger than the height of the sealing piston head. According to the scheme of combining negative pressure adsorption and mechanical cutting, the tissue sample size larger than that of traditional biopsy forceps can be obtained, and the requirements of pathological examination are effectively met.

This invention relates to the field of medical data processing technology, and in particular to a method and apparatus for predicting the survival of cancer patients. The method includes: acquiring molecular pathological examination results, histopathological examination results, and radiological imaging results of a target cancer patient; extracting features from the molecular pathological examination results, histopathological examination results, and radiological imaging results to obtain gene features, pathological image features, and MRI image features; fusing and stitching the gene features, pathological image features, and MRI image features to obtain a final fused feature; and predicting the actual survival range of the target cancer patient based on the final fused feature. This solves the problems of existing cancer survival prediction methods that often rely on single-modal information such as pathological images or radiological images, resulting in limited predictive performance and generalization ability, and making it difficult to provide sufficient and comprehensive reference for doctors and patients.

This invention provides a multimodal microscopic imaging integrated detection system, relating to the field of microscopic optical detection technology. It includes a bright-field microscopic imaging module sharing a tissue section sampling optical path assembly, and at least two of three modules: a polarized light microscopic imaging module, a fluorescence microscopic imaging module, and a micro-Raman spectroscopy detection module. The bright-field, polarized light, and fluorescence microscopic imaging modules share an imaging optical path assembly. The micro-Raman spectroscopy detection module includes a Raman spectrometer and a laser for irradiating tissue sections to excite Raman scattering light. The beneficial effect of this invention is that, based on bright-field microscopic imaging, it introduces multiple characteristic imaging or spectroscopic technologies such as polarized light imaging, fluorescence imaging, and Raman spectroscopy. Through multimodal information complementarity, it enriches the differential information between cancerous tissues and normal, inflammatory lesions, etc., significantly improving the speed and efficiency of pathological examination and enabling rapid and accurate intraoperative cancer diagnosis.

The invention relates to the field of pathological examination and diagnosis equipment, in particular to a pathological image synchronous reading system. The system comprises a scanner, a positioning camera and terminal equipment, according to the system, a scanner is used for identifying which case section a specific pathological section to be reviewed is so as to call a corresponding WSI, a positioning camera is used for collecting an image of an objective lens containing the pathological section and a microscope, and projection coordinates of the objective lens on the pathological section are determined according to the image; the position of the pathological section on the objective table is adjusted after the coordinate of the visual field center of the WSI on the WSI is changed, the visual field center of the WSI is adjusted after the position of the pathological section on the objective table is changed, the center of the visual field of the microscope is automatically made to be consistent with the center of the visual field of digital section browsing, and digital-microscope real-time combined reading is achieved. And the defect of pure digital film reading is effectively overcome.

The application provides a pathology teaching-oriented adaptive test paper generation method, device and equipment, and relates to the technical field of educational information processing, and comprises the following steps: determining evaluation index values corresponding to pathology teaching test questions contained in a pathology teaching question bank; performing data integrity inspection on the evaluation index values; in the case of passing the data integrity inspection, establishing examinee characteristic groupings, and associating the pathology teaching test questions to their matching examinee characteristic groupings; performing quality evaluation on the evaluation index values corresponding to the pathology teaching test questions associated to the examinee characteristic groupings, and then determining the evaluation results of the pathology teaching test questions in their associated examinee characteristic groupings; in the case of receiving a test paper grouping request uploaded by a user, generating a pathology teaching test paper corresponding to the test paper grouping request based on the pathology teaching test questions and their evaluation results. The application can significantly improve the efficiency of case screening, grading and test paper grouping processes, so as to meet the increasingly enhanced pathology examination requirements.

The invention discloses a vulva intraepithelial neoplasia prediction method based on infrared thermal imaging, and relates to the technical field of computer-aided diagnosis systems and medical imaging. The method is realized based on a prediction system, and the system comprises an image collection module which is used for collecting an infrared thermal imaging image; the image preprocessing module is used for preprocessing the acquired infrared thermal imaging image, including noise removal and contrast enhancement; and the image segmentation module is used for selecting three uniformly distributed ROIs (Region of Interest) with 3 * 3 pixels in each lesion area, and averaging the temperatures in the three ROIs to obtain a lesion temperature value. The infrared thermal imaging technology is adopted, direct contact with the skin of a patient is not needed, and trauma of traditional pathological examination is avoided; through image segmentation, feature value extraction, principal component analysis and training and verification of multiple machine learning algorithms, high-accuracy classification of VIN, vulva epithelial non-neoplastic lesions and normal skin is realized, and the accuracy and reliability of diagnosis are improved.

This invention provides a combination of serum biomarkers for the diagnosis of gastric cancer and their applications. This invention is the first to discover that CHI3L1, FCGBP, TFF2, and VSIG2 are significantly elevated in the serum of gastric cancer patients. ROC curve analysis verified that the combination of these four proteins as serum biomarkers can effectively distinguish between gastric cancer patients and healthy controls, and that combined use can better differentiate between early and late-stage gastric cancer patients, demonstrating superior diagnostic value for gastric cancer. Compared with traditional methods for gastric cancer diagnosis, the serum biomarker combination established in this invention is non-invasive, improving the accuracy of gastric cancer diagnosis. It can be used as a health screening test and provides an efficient and non-invasive detection method for gastric cancer patients who cannot undergo pathological examination.

The present application relates to the field of medical image analysis, and particularly relates to a placenta implantation disease grading method and system based on multi-modal data, the method steps comprising: S1: collecting clinical information, medical image information and pathological examination results of a patient to form sample data; S2: constructing a data set used by a training model based on the sample data, and training a placenta implantation disease grading diagnosis model; S3: using the trained placenta implantation disease grading diagnosis model to perform grading diagnosis on the patient. The present application solves the problem of coarse grading granularity and insufficient accuracy of placenta implantation disease in the prior art by fusing medical image features and clinical feature data to construct a deep learning model, and realizes accurate grading of placenta adhesion, implantation and penetration.

The application provides a differential model based on CT enteroclysis imageomics and clinical features, and relates to the technical field of medical treatment.The differential model comprises the data of clinical information, laboratory examination, image examination, enteroscopy and pathological examination, extracts the imageomics of intestinal wall and mesenteric fat characteristics based on CT enteroclysis, and constructs a differential diagnosis model of Crohn's disease and intestinal tuberculosis through machine learning.The differential diagnosis model of Crohn's disease and intestinal tuberculosis is constructed by integrating the clinical features and the imageomics parameters of CT enteroclysis, and is significantly better than a single model.The imageomics characteristics reveal the essential differences of the two diseases in the texture of intestinal wall and mesenteric fat.The nomogram constructed by the application provides a convenient visual tool for the clinic, and is particularly suitable for precise diagnosis in tuberculosis high-incidence areas.

The invention discloses application of HER-2 combined with a three-level lymph structure in diagnosis and treatment of mixed hepatocyte-bile duct cell carcinoma. A prognosis evaluation system and a treatment decision mode constructed on the basis of HER-2 detection are beneficial to establishment of a standard cHCC-CCA prognosis system, and the HER-2 detection can adopt a clinical conventional immunohistochemical method and is directly in butt joint with an existing pathological examination process, so that the clinical transformation threshold is effectively reduced, and the clinical treatment efficiency is improved. The clinical practicability and operability are obvious. Meanwhile, the expression level of HER-2 can reflect whether the patient can directly benefit from adjuvant chemotherapy, so that treatment schemes can be quickly generated for different patients after pathological examination. Moreover, the invention also discloses the association between the HER-2 and the tumor immune microenvironment, and provides a new thought for developing HER-2 and TLS combined prognosis products and targeted drug combined immunotherapy strategies.