61 results about "Mammary tissue" patented technology

An antenna-based system for hyperthermia treatment of breast cancer, consisting of: a G-shaped microstrip patch antenna configured for operation at an ISM frequency of 434 MHz and having dimensions of 3.6 cm × 3.8 cm × 1.6 cm; an aluminum cavity chamber to accommodate the G-shaped microstrip patch antenna; a coaxial feed line configured to allow an impedance matching of 50 ohms to the G-shaped microstrip patch antenna; a bolus of deionized water configured to surround the aluminum cavity chamber, wherein the bolus of deionized water is further configured to serve as a cooling medium for controlling the skin surface temperature, and wherein the bolus of deionized water is further configured to reduce hotspots and improve the radiation efficiency of the G-shaped microstrip patch antenna; and A polyethylene film was positioned between the G-shaped microstrip patch antenna and the bolus of deionized water to prevent interference between the G-shaped microstrip patch antenna and a breast tissue phantom.

The application discloses a breast cancer examination tool based on collagen fiber multi-element fusion analysis, which is used for quantitative analysis of breast tissue collagen fiber structure characteristics and examination of breast tissue cancer level. The application can multidimensionally and comprehensively extract structure information of collagen fibers, and through multi-element fusion analysis of multiple structure parameters, the application improves information complementarity of breast tissue morphological characteristic analysis; the application realizes visualization of collagen fiber structure characteristics by using a pixel level resolution quantitative method and combining with a pseudo-color coding technology, and enhances intuitiveness of information; the application classifies and analyzes three potential biomarkers representing different breast cancer levels, provides a high-precision, automatic and rapid breast cancer level examination method, and has greater application potential compared with a traditional breast cancer examination method.

The invention relates to an embroidery pattern for producing a mesh pocket to support an implant, specifically a breast implant, and / or tissue, specifically breast tissue, comprising a two-dimensional ring structure (1) with several spaced-apart concentric rings (1.1 - 1.13), each adjacent concentric ring (1.1 - 1.13) having several connections (2.1 - 2.12), wherein the connection length of the connections (2.1 - 2.12) formed between adjacent concentric rings, extending from one of the inner concentric rings (1.1 - 1.12) to the outer concentric ring (1.13), increases, at least in certain areas, relative to the distance between the respective adjacent concentric rings (1.1 - 1.13). The invention further relates to a method for producing the mesh pocket, wherein the embroidery pattern is stitched onto a substrate and the substrate is subsequently removed.The net pocket is finally formed by concentric twisting of the concentric rings (1.1 - 1.13).

The application discloses a breast cancer HER2 gene mutation prediction method and device based on ABVS, and comprises the following steps: S1, acquiring an ABVS image; S2, performing preliminary segmentation on the ABVS image to obtain a breast tissue part; S3, performing secondary segmentation on the basis of the segmented breast tissue part to obtain a lesion ROI region; S4, obtaining an imageomics feature according to the lesion ROI region, wherein the imageomics feature comprises first-order gray statistical features, shape features, texture features and transformation-based features; and S5, combining segmentation features generated in the segmentation process with the imageomics feature, and using a deep feature classifier to predict a HER2 gene mutation state. The application predicts the HER2 mutation state in breast cancer by using a non-invasive method, is accurate in prediction, and provides help for clinical treatment of breast cancer.

The invention discloses a breast cancer NAT curative effect prediction method and system based on artificial intelligence, and belongs to the technical field of medical information processing, and the method comprises the steps: carrying out the image registration of a pre-treatment image data set and a post-treatment image data set, and marking a corresponding focus position as a region of interest; positioning a tumor body core region of a region of interest of the pre-treatment image data set as a dark target region, and identifying a tumor recession sub-image of the post-treatment image data set according to the dark target region; reconstructing the boundary of the tumor recession sub-image of the post-treatment image data set to obtain a reconstructed image data set; utilizing a pre-trained deep learning model to obtain a prediction result of the breast cancer NAT curative effect; the problem that the boundary between the tumor and the surrounding normal mammary tissue is not clear due to the recession phenomenon is eliminated, so that the tumor recession sub-image of the to-be-recognized area can be used for a deep learning network, and the accuracy and reliability of a prediction model are improved.

Systems and methods related to processing medical image data. Medical image data of a patient's breast tissue is received from a medical imaging device. The medical image data includes a plurality of X-ray projection images of the patient's breast tissue from a plurality of perspectives. The medical image data is encoded using lossy compression. The medical image data is decoded to yield a transmission image. The transmission image is encoded using lossless compression to yield a first compressed image. The first compressed image is transmitted to a first viewing device. The first viewing device is configured to decode the first compressed image to yield the transmission image and view the transmission image using the first viewing device. Viewing the transmission image includes viewing at least one of the plurality of X-ray projection images of the patient's breast or a composite image of the plurality of X-ray projection images.

A method and system enabling a determination of the risk of developing breast cancer of a subject, comprises using a magnetic resonance spectroscopy device to obtain the level of the spectral signal at 3.15 and 3.19 ppm, within the breast tissue of the subject, and comparing the level of the spectral signal obtained in the first step with a reference level of a spectral signal at 3.15 and 3.19 ppm of the breast of a healthy subject, to determine whether the level of the signal obtained in the first step exceeds the reference level of a healthy subject is comparable to that of a subject known to be at elevated risk; or is elevated to the level of persons known to be carrying a gene mutation.

The present invention relates to the technical field of image analysis and proposes a method and system for detecting structural distortion based on dual-view digital breast tomosynthesis, comprising the following steps: acquiring a three-dimensional breast tomosynthesis image containing two projection position perspectives and processing the image into a two-dimensional image slice; marking the position of structural distortion in the two-dimensional image slice using a bounding box; pairing the marked two-dimensional image slices from the two projection position perspectives belonging to the same breast; predicting the two-dimensional detection frames corresponding to the position of structural distortion in the paired two-dimensional image slices using a computer-aided detection model and extracting a representation vector of the breast tissue structure within the two-dimensional detection frame; matching the two-dimensional detection frames in the image slices from the two projection position perspectives using the breast tissue structure representation vector of the paired two-dimensional image slice; fusing the two-dimensional detection frames into a three-dimensional detection frame; and eliminating part of the three-dimensional detection frame based on information from a single perspective and a dual perspective to obtain a final retained three-dimensional detection frame.

The invention discloses a mammary gland puncture device capable of controlling focus points, which belongs to the field of medical instruments, is particularly applied to image-guided mammary gland interventional operations, and comprises a driving gear driving mechanism, a driven gear platform and a mammary gland tissue deformation mechanism, the breast tissue deformation mechanisms are distributed on the driven gear platform in an array mode, breast tissue can be fixed, protruding contacts on the breast tissue deformation mechanisms can stretch out according to needs, the position of a focus point is changed in an extruding and pushing mode, and the breast tissue fixing device can achieve all-directional puncture postures, breast tissue fixing and focus point position changing. A doctor can control the device according to requirements to help the doctor to reduce operation difficulty and improve biopsy precision and efficiency.

The present invention relates to the technical field of image analysis, and provides a dual-view digital breast tomosynthesis-based architectural distortion detection method and system. The method comprises the following steps: collecting three-dimensional breast tomosynthesis images of two projection position views and processing same into two-dimensional tomographic slices; using bounding boxes to label positions of architectural distortions in the two-dimensional tomographic slices; pairing the labeled two-dimensional tomographic slices of the two projection position views of the same breast; using a computer-aided detection model to predict two-dimensional detection boxes corresponding to the positions of the architectural distortions in the paired two-dimensional tomographic slices and to extract from the two-dimensional detection boxes representation vectors of breast tissue structures; using the representation vectors of the breast tissue structures of the paired two-dimensional tomographic slices to match the two-dimensional detection boxes in the tomographic slices of the two projection position views; fusing the two-dimensional detection boxes into three-dimensional detection boxes; and, on the basis of single-view and dual-view information, removing some of the three-dimensional detection boxes to obtain finally kept three-dimensional detection boxes.

The invention discloses application of a reagent for detecting the expression quantity of BCKDK protein in preparation of a kit. The kit is used for at least one of detecting whether breast tissue to be detected is tumor tissue or not, evaluating stages of breast cancer, evaluating the prognosis effect of breast cancer patients and evaluating the treatment effect of breast cancer drugs or DNA damage drugs. Therefore, by detecting the expression quantity of the BCKDK protein in the to-be-detected breast tissue, whether the to-be-detected breast tissue is a tumor tissue or not can be determined, or the stages of the breast cancer of an individual from the to-be-detected breast tissue can be determined; if the breast cancer patient is in the treatment stage, the prognosis effect of the breast cancer patient or the treatment effect of the applied medicine can be determined by detecting the expression quantity of the BCKDK protein in the breast tissue to be detected.

The present disclosure describes a method for preventing or treating an abnormal mammary gland cytopathy characterized by cell proliferation in a subject. The method comprises administering to the subject an effective amount of an androgen agent in combination with an effective amount of an aromatase inhibitor, increasing the concentration of the androgen agent in serum to a level to increase the intramammary concentration of androgen in the mammary gland resulting from the action of 5 alpha-reductase on the androgen agent, the increased intramammary concentration of the androgen induces inhibition of c-Myc and / or mTOR expression or activity in the mammary gland associated with a lower intramammary concentration of the androgen. The increase in the serum concentration of the androgen agent and the increase in the intramammary concentration of the androgen are maintained for a predetermined period of time without substantially increasing the concentration of the androgen in the serum of the subject. Furthermore, the use of the aforementioned androgen and aromatase inhibitors for reducing the risk of breast cancer progression to hormone-resistant breast cancer, reducing the risk of HER2-positive breast cancer becoming insensitive to targeted HER-2 anti-cancer drug therapy, and for inducing inhibition of c-Myc and / or mTOR expression and / or activity is also described. In embodiments, the androgen agent may be testosterone and androgen 5 [alpha]-dihydrotestosterone (DHT).

The application belongs to the technical field of biological medicine, and particularly relates to application of a reagent specifically binding to OARD1 protein in preparation of a breast cancer diagnosis and / or prognosis evaluation product. The product detects the expression level of OARD1 protein in a breast tissue sample by the reagent specifically binding to OARD1 protein and carries out H-score scoring, takes a preset H-score score as a breast cancer positive diagnosis threshold, and judges whether the sample is breast cancer positive. Moreover, the product can distinguish high / low expression of OARD1 protein by a preset H-score score, constructs a prognosis prediction model in combination with TNM staging of a subject, and realizes evaluation of a breast cancer patient disease progression risk. The method is simple and easy to implement, the diagnosis process is safe and effective, is easy to be accepted by patients, diagnosis standards are unified, and is less affected by personal subjective factors, which shows that OARD1 protein has important significance for diagnosis or prognosis judgment of breast cancer.

A series of electrodes and a machine learning system are configured to detect changes in biological tissue over time. Specifically, the system may include a wearable device configured to detect changes in tissue response to an electrical signal that may be indicative of cancerous tissue, e.g., breast cancer and / or other types of cancer. The system optionally combines measurements from bioimpedance sensors, miniaturized ultrasound arrays, temperature sensors, and / or printed microwave planar antenna to detect changes in breast tissue composition and vascularity. The system may also be used to detect other physiological states such as menstrual cycles and / or various conditions related to hydration or breathing patterns.

The invention discloses a breast cancer early detection system based on a CT (Computed Tomography) and MRI (Magnetic Resonance Imaging) combined imaging technology, and the system comprises a data extraction module which is used for extracting original pixel data of CT and MRI images, and converting the original pixel data into a mapping image on a physical coordinate system; the image preprocessing module is used for denoising and standardizing the mapped image; the robust algorithm module is used for carrying out robust algorithm processing on the standardized image obtained after preprocessing; the multi-stage registration module is used for importing the image processed by the robust algorithm into a multi-stage registration algorithm and carrying out multi-stage registration on the image processed by the robust algorithm; and the image detection module is used for inputting the image into the detection module and carrying out image fusion, and the breast tissue area in the fused image is detected through the detection module. According to the system, the breast tissue structure in the MRI image is accurately superposed into the CT image, and fusion of CT functional parameters and MRI dynamic parameters is realized, so that the early cancer focus detection rate and the definite diagnosis accuracy are improved.

This invention relates to the fields of animal genetics and breeding and biotechnology, and particularly to an overexpression method. Rlim Recombinant adeno-associated virus (AAV) vector, recombinant AAV, and its application in increasing milk production in animals. This invention utilizes a recombinant AAV vector to specifically overexpress a gene in mammary tissue. Rlim This study aims to provide a highly efficient, safe, and targeted approach to enhance lactation performance, thereby filling the technological gap in the application of this gene in lactation regulation and offering novel strategies and pathways for improving livestock production traits and potential interventions for related human health issues.

The application provides a use of perillaldehyde in preparation of a medicine for treating postpartum lack of lactation, and animal experiments show that perillaldehyde can effectively increase the lactation of postpartum lack of lactation female mice, significantly increase the litter weight growth rate of postpartum lack of lactation female mice, and improve the pathological state of mammary gland tissue of postpartum lack of lactation female mice. In addition, perillaldehyde has good safety and almost no side effects on the body. Therefore, the perillaldehyde described in the application can be used as an active ingredient and applied to preparation of a medicine for treating postpartum lack of lactation, thereby developing a new use of perillaldehyde and providing a new selection for preparation of a medicine for promoting lactation secretion and treating postpartum lack of lactation.

The invention relates to the technical field of medical image analysis, in particular to a biomarker auxiliary screening system based on radiomics conjoint analysis, comprising a data processing module for acquiring a mammary molybdenum target image; the segmentation module is used for segmenting the mammary gland molybdenum target image to obtain a mammary gland tissue image; the recognition module is used for recognizing the mammary tissue image to obtain an abnormal structure area and calculating radiomics characteristics of the abnormal structure area; the decision module is used for splicing the image omics features into image omics feature vectors and inputting the image omics feature vectors into the activity model to generate image scores; screening a contribution degree feature set by taking the image score as a reference, and analyzing the feature set by adopting a clustering algorithm to obtain an image biomarker; and the chip acceleration module is used for quantifying the model operation parameters, converting the model operation parameters into integer parameters and carrying out operator fusion on the model calculation steps. According to the method, accurate and efficient screening is realized through radiomics analysis.

The invention discloses a breast focus recognition and positioning method, and relates to the technical field of medical image processing, and the method comprises the steps: carrying out the breast focus image recognition and detection of a target patient through a molybdenum target technology, carrying out the statistics of the position features of a main detection focus with fuzzy boundary, and if the target patient is detected as a fat-type breast tissue dominant region, carrying out the recognition and positioning of a breast focus. If not, marking the distribution position of the fat-type mammary gland tissue as a central position to obtain the central position characteristics of the auxiliary measurement tissue, marking the main measurement focus position characteristics and the central position characteristics of the auxiliary measurement tissue to obtain a plurality of marked lines, and setting the included angles formed among the marked lines to be the same, and according to the distance value of the marked line and the angle value formed between the main measurement focus position feature and the nipple, the position inclination degree of breast focus recognition continuous examination on the target patient is preset, breast focus continuous examination is carried out on the target patient through the high-frequency sound wave imaging technology, and a focus proofreading and positioning result is obtained. The focus identification and positioning accuracy can be improved.

The invention discloses a human breast benign and malignant disease body surface scanning detection method and device and a medium, and belongs to the technical field of biomedical instruments. The method comprises the following steps: acquiring depth data and an RGB image of a mammary gland area; planning a scanning path based on the depth data; controlling a mechanical arm to drive an optical fiber Raman probe to scan along the path; acquiring spectral data and preprocessing the spectral data; and synchronously marking the recognition result on the RGB image and displaying the RGB image. A mechanical scanning device is matched with an optical fiber Raman light probe, three-dimensional modeling of a mammary gland area is obtained through the assistance of an active infrared stereoscopic vision technology, a scanning path is automatically planned through an image edge detection algorithm, all-directional, full-automatic and high-sampling-density self-adaptive scanning is carried out on the human mammary gland, and the human mammary gland scanning precision is improved. And the benign and malignant substances of the breast tissue are judged by combining high-precision abnormal Raman spectrum detection and a mode recognition algorithm.

The invention relates to the field of biomedicine, and discloses a method for prevention, early diagnosis and treatment strategy of breast cancer, which comprises the following steps: step 1, detecting the utilization rate and the protein expression level of a far-end polyadenylation site of CDCA7L gene in a breast tissue sample or a peripheral blood sample of a high-risk group; 2, according to the abnormal change that the utilization rate of the far-end polyadenylation site is reduced and the protein expression level is up-regulated, performing prevention intervention or early diagnosis judgment on an individual with the abnormal change; and 3, constructing an intervention vector of a long 3'untranslated region of the targeted CDCA7L gene. By taking an abnormal variable polyadenylation mode of CDCA7L gene as a molecular mechanism, high-risk population intervention of a prevention link, molecular feature detection of early diagnosis and targeted intervention of a treatment link are linked, so that the three links play a synergistic role on the basis of the same biological basis.

A microwave-based breast cancer screening and early diagnostics imaging system is provided. The microwave-based breast cancer screening and early diagnostics imaging system uses mild compression to electromagnetically homogenize the heterogeneous breast media or, to some degree, decrease the breast dimension to 2D. The device is capable of providing multi-angle examination, if necessary, and produces horizontal and vertical cross-sectional images based on the polarization of the antennas used for scanning. Merging two-sectional images can give a possibility of 3D microwave representation of the breast tissue that allows identification of the malignant / cancerous / harmful tissues / cells through cross validation.

The utility model discloses a pair of breast tissue plastic scissors for endoscopic surgery. The pair of breast tissue plastic scissors comprises a handheld component, one end of the supporting rod is connected with the handheld assembly; the transmission rod is movably arranged on the supporting rod in a penetrating mode, the length direction of the transmission rod is parallel to the length direction of the supporting rod, and one end of the transmission rod is in transmission connection with the handheld assembly; one end, far away from a cutting edge, of the single-edge knife is connected to the other end of the supporting rod; one end, far away from the hook part, of the inner-edge hook knife is connected to the other end of the transmission rod; the cutting edge of the hook part of the inner-edge hook knife is opposite to the cutting edge of the single-edge knife; the handheld assembly operably drives the transmission rod to move in the length direction of the supporting rod, so that the cutting edge of the hook part of the inner-edge hook knife is close to or away from the cutting edge of the single-edge knife. The breast tissue hook knife scissors for the endoscopic surgery can also be used as a cutter.

A series of electrodes and a machine learning system are configured to detect changes in biological tissue over time. Specifically, the system may include a wearable device configured to detect changes in tissue response to an electrical signal that may be indicative of cancerous tissue, e.g., breast cancer and / or other types of cancer. The system optionally combines measurements from bioimpedance sensors, miniaturized ultrasound arrays, temperature sensors, and / or printed microwave planar antenna to detect changes in breast tissue composition and vascularity.

The invention relates to the technical field of artifact correction, and discloses a motion artifact correction method and device for prone breast scanning, and the method comprises the steps: obtaining an image sequence data set of breast tissues; inputting the image sequence data set into a pre-established deep learning model to obtain a motion field between adjacent images; correcting the image sequence data set based on the motion field to obtain a corrected image sequence data set; the corrected image sequence data set is used for constructing a mammary gland three-dimensional image. According to the invention, artifact correction is carried out based on a motion field method, the displacement vector between the images can be directly estimated, and according to the displacement vector, image errors caused by motion of a patient or equipment can be more accurately corrected, so that the artifact correction precision is improved.

A series of electrodes and a machine learning system are configured to detect changes in biological tissue over time. Specifically, the system may include a wearable device configured to detect changes in tissue response to an electrical signal that may be indicative of cancerous tissue, e.g., breast cancer and / or other types of cancer. The system optionally combines measurements from bioimpedance sensors, miniaturized ultrasound arrays, temperature sensors, and / or printed microwave planar antenna to detect changes in breast tissue composition and vascularity. The system may also be used to detect other physiological states such as menstrual cycles and / or various conditions related to hydration or breathing patterns.

The present invention belongs to the field of medical robotics technology, and specifically relates to a robotic navigation system and device for breast puncture surgery based on multimodal image fusion. This invention achieves high-precision three-dimensional reconstruction of breast tissue by aligning and fusing multimodal image data, providing doctors with more intuitive and accurate surgical navigation information. By tracking the position of the puncture needle in real time and spatially aligning it with the image data, the accuracy and safety of the surgery are improved. At the same time, by collecting real-time feedback information on the puncture force of the puncture needle during the needle movement, the effectiveness of the puncture navigation path is evaluated. When risks are found in the puncture path, dynamic adjustments are immediately made to replan a new puncture path that bypasses obstacles and reaches the lesion. If a safe path cannot be obtained, the system automatically stops the needle insertion and gives an audible and visual warning prompt, thereby avoiding surgical risks caused by human operational errors in traditional surgery.

The utility model relates to a puncture needle head for rotary cutting or marking of breast tissues, which comprises a puncture needle head body, the puncture needle head body is mounted at the end of rotary cutting equipment or marker equipment, the puncture needle head body consists of an outer tool bit and a connecting seat, and the connecting seat is connected with a mounting seat of the rotary cutting equipment or marker equipment. The outer tool bit is installed in an installation groove formed in the front end of the connecting base, the inner tool bit is inserted into the outer tool bit, a splayed guide opening is formed in the rear portion, located in the connecting base, of the outer tool bit, the inner tool bit can be conveniently and accurately inserted into the outer tool bit, a spine head is arranged at the end of the outer tool bit, and a marking hole with an upward opening is formed in one side of the spine head. A notch groove is formed in the position, located behind the spine head, of the needle body, the notch groove directly faces the hollow position inside the needle body, a plurality of small through holes are formed in the lower portion of the notch groove, and an air channel is formed below the through holes and connected to air exhaust equipment. The utility model has the advantages of simple and reasonable structure, practicability, convenience and the like.

An electronically steerable x-ray imaging system is disclosed that includes an x-ray beam generator, a Janus sphere array, a sensor array, and a computer system configured to reconstruct diagnostic images of biological tissue. The Janus sphere array enables electronic steering of the x-ray beam to control direction, intensity, and focus without mechanical movement. The sensor array collects x-ray data after beam transmission through an imaging target such as breast tissue, and the computer system executes a Multiplicative Algebraic Reconstruction Technique (MART) algorithm to reconstruct high-resolution images. The processor optimizes tumor visibility and reduces image noise by adaptively adjusting beam parameters in response to tissue density. The system provides real-time feedback and dynamic beam control for accurate tumor detection and improved imaging performance across medical and non-medical applications.