656 results about "Prostate" patented technology

The invention relates to the technical field of prostate MRI (Magnetic Resonance Imaging) image segmentation, in particular to a prostate MRI image segmentation method based on Mamb-Unet, which realizes effective fusion of features of different scales between an encoder and a decoder, and fuses multi-scale information on a space axis by using a space attention bridge segment to fuse fusion features of different levels from the encoder, so that the segmentation accuracy of the prostate MRI image is improved. And then global and local information is captured through 1D convolution and full connection in the channel attention bridge segment, so that a channel attention map is generated, channel information is better integrated, and multi-level different-scale feature fusion is realized.

The invention provides a prostate intervention guiding method and system based on PSMA PET, MRI and TRUS multi-mode fusion, a storage medium and electronic equipment, and the method comprises the steps: obtaining a preoperative MRI image and a PSMA PET / CT image, and carrying out the marking of a prostate focus; registering the PSMA PET image to a coordinate system corresponding to MRI (Magnetic Resonance Imaging); a TRUS image obtained in the operation is registered to a coordinate system corresponding to the MRI image, and an MRI-PSMA PET-TRUS fusion image is obtained; and based on the fused image, mapping the marking result of the prostate lesion to the TRUS image, and guiding the prostate interventional operation. Preoperative traditional MRI and PSMA PET are subjected to static fusion and then subjected to real-time fusion with intraoperative TRUS, multi-modal image features are combined, the reliability of an image focus area is improved, the positive effect on improving the accuracy of an interventional operation is achieved, and unnecessary injuries are reduced.

A dietary supplement composition is formulated in a therapeutic amount to maintain and promote urinary and prostate function in a human. The composition includes a shelf stable, supercritical CO2 fluid extracted, enhanced lipidosterolic extract of Serenoa repens (LSESr). The enhanced LSESr has a ratio of free fatty acids to total fatty acids that is greater than about 83.0% and an enrichment of lauric, myristic, oleic and linoleic acids as free fatty acids to total free fatty acids that is about 81.0% or greater.

A cross-modal cross-dimension prostate nuclear magnetic ultrasound image registration method belongs to the technical field of medical image processing and artificial intelligence auxiliary diagnosis and treatment, and comprises the following steps: firstly, equivalently reconstructing a registration task into two sub-tasks; providing a cross-modal double-branch attention mechanism to realize semantic alignment according to modal differences; and aiming at the dimension difference, designing a lightweight rigid positioning network to carry out affine slice transformation. According to the method, through equivalent problem reconstruction, the modeling difficulty and the calculation complexity are remarkably reduced; a dual-module structure combining elastic and rigid registration is designed, and the registration precision and clinical adaptability are comprehensively improved; a cross-modal double-branch attention mechanism is introduced, and the overall transformation effect is optimized while the precision of the local anatomical structure is kept; a three-stage combined training strategy is adopted, the three-stage combined training strategy comprises contrast learning pre-training, module-level training and whole-network fine tuning, optimization is carried out in combination with weak supervision signals (segmentation labels), a high-quality registration result can be obtained under the condition of no registration labels or a small number of labels, and data dependence and training cost are reduced.

The invention belongs to the technical field of medical image digital image processing, and particularly relates to a prostate TRUS-MRI registration method based on multi-scale weighting and an adaptive window, and the method comprises the steps: firstly collecting an ultrasonic image and a magnetic resonance image of a prostate, dividing the ultrasonic image and the magnetic resonance image into a training set, a verification set and a test set, and sketching a mask for a prostate gland in each image; then the input image is preprocessed; then, UNet is adopted as a feature extractor, a deformation field is output in combination with a spatial transformation network, deformation is applied through an STN pair, and a registration image is obtained; the method comprises the following steps: firstly, acquiring three parts of an ultrasonic image, then constructing a network loss function, finally, acquiring a total loss function according to the three parts of the network loss function, performing staged training, finally, outputting the total network loss function, processing a subsequent ultrasonic image and a magnetic resonance image, and outputting a registration image. Compared with the prior art, the method has the comprehensive advantages of cross-modal adaptability, detail optimization capability, calculation efficiency and generalization performance, so that the method is remarkably improved.

Provided in the present invention is a qualitative assessment and data scoring system for predicting prostate cancer in a PSA gray zone. The system comprises a magnetic resonance device, wherein a port thereof is electrically connected to a data temporary storage module, the data temporary storage module sends data to an imaging detection module by means of a network connection module, the imaging detection module is connected to a background system, and the background system comprises a scoring module and a PC unit; the scoring module acquires the value of the volume ratio of central gland prostate to total prostate on the basis of magnetic resonance imaging, so as to obtain a scoring result; and the scoring module is connected to an association result output module and a storage module, the storage module is used for storing the scoring result, and the association result output module is used for matching the scoring result with a disease risk, and outputting a matching result. The present invention can improve the accuracy of tumor detection, thereby reducing unnecessary prostate puncturing.

The current disclosure is centered on the hypothesis that a better understanding of the neuroendocrine transdifferentiation (NEtD) process will provide therapeutic targets for inhibiting this transition and thus improving standard of care therapies. Accordingly, the current disclosure provides for a method for treating cancer in a subject, the method comprising administering an inhibitor of a gene, wherein the gene comprises one or more of tenascin C (TNC), advillin (AVIL), S100A7, PPARG, LOX lysyl oxidase, KLF5, APOBEC2, FOSL1, FOXM1, hedgehog, RELA, p65, IKK complex, JAK, STAT, TFAP4, geminin, OCA-1, OCA-2, Nf-kB, Nf-kB family and associated regulators, angiogenesis regulators such as BMX kinase, TEK kinase, periostin (POSTN), and VEGF family, stress genes, such as the JUN / FOS family, a gene from the S100 family, and cell state regulators such as ASCL1, POU2F3, NEUROD1, ASCL2, and YAP1.

The invention discloses a prostate MRI (Magnetic Resonance Imaging) super-resolution reconstruction method based on a frequency domain perception state space model, which relates to the technical field of medical image processing, and is characterized by comprising the following steps: S1, carrying out image preprocessing on prostate MRI of a patient, and obtaining a low-resolution MRI image through downsampling operation; s2, constructing a space-frequency domain Mama module based on the space and frequency domain information, and extracting and fusing the space information and the frequency domain information of the MRI image; and S3, inputting the low-resolution image features obtained in the step S1 into a feature extraction encoder and a decoder which are composed of a plurality of cascaded SFMama, extracting multi-level semantic features of the image, and reconstructing a high-resolution MRI (Magnetic Resonance Imaging) image. The technical problem to be solved by the invention is to provide the prostate MRI super-resolution reconstruction method based on the frequency domain perception state space model, so that prostate MRI super-resolution reconstruction can be conveniently realized.

The utility model relates to a needle biopsy mechanism, which relates to the field of prostate needle biopsy, and comprises a biopsy gun guide assembly, a lifting assembly, a linear motion assembly and a rotating assembly, when puncture is carried out, the biopsy gun guiding assembly and a linear probe imaging plane in the ultrasonic probe need to be coplanar so that a needle of the biopsy gun guiding assembly can be completely seen in the plane; the biopsy gun guide assembly is guided by the biopsy gun guide assembly to penetrate into a biopsy position; the lifting assembly is connected with the biopsy gun guiding assembly and used for driving the biopsy gun guiding assembly to be close to or away from the ultrasonic probe in the plane. The linear motion assembly is connected with the lifting assembly and used for driving the biopsy gun guiding assembly to be close to the perineum part so that the biopsy gun guiding assembly can conveniently conduct puncture through a guiding hole of the guiding device. The rotating assembly is connected with the linear motion assembly and used for driving the biopsy gun guiding assembly to do circular motion around the axis of the ultrasonic probe. According to the invention, the prostate lesion point corresponding to the to-be-detected area can be better punctured.

The invention relates to the field of intelligent medical treatment, in particular to a method, equipment and a program product for predicting Gleason score upgrading and degrading after radical prostatectomy. Comprising the following steps: S1, acquiring preoperative pathological data and image data of a to-be-tested person subjected to radical prostate resection; s2, obtaining a preoperative puncture score based on the preoperative pathological data; s3, performing prediction based on the preoperative pathological data, the image data and the preoperative puncture score to obtain a postoperative Gleason score and a Gleason upgrading and degrading result, and the application can perform upgrading and degrading prediction of the postoperative Gleason score at the same time, and has good clinical value.

The invention relates to prostate specific membrane antigen antibodies (anti-PSMA) and anti-PSMA antibody drug conjugates (ADCs). The invention provides a method for treating a subject using anti-PSMA ADCs in inhibiting, preventing or treating PSMA-related diseases or cancers, including prostate cancer. The disclosure also provides pharmaceutical compositions containing anti-PSMA ADCs suitable for administration to human subjects.

A system to treat a patient comprises a user interface that allows a physician to view an image of tissue to be treated in order to develop a treatment plan to resect tissue with a predefined removal profile. The image may comprise a plurality of images, and the planned treatment is shown on the images. The treatment probe may comprise an anchor, and the image shown on the screen may have a reference image marker shown on the screen corresponding to the anchor. The planned tissue removal profile can be displayed and scaled to the image of the target tissue of an organ such as the prostate, and the physician can adjust the treatment profile based on the scaled images to provide a treatment profile in three dimensions. The images shown on the display may comprise segmented images of the patient with treatment plan overlaid on the images.

An intelligent anesthetization system for transperineal prostate puncturing based on multimodal medical images is provided. The system includes a coordinate system definition module, a markup of MRI sequence image and 3D reconstruction module, an ultrasonic data extraction module, a registration module and an anesthetic planning module. This system transforms images in the preoperative nuclear magnetic imaging coordinate system as well as the target area of anesthetization into real-time electromagnetic emitter coordinate system through multimodal medical image registration, thereby realizing the comprehensive fusion of the target area of anesthetization in nuclear magnetic resonance image and ultrasonic image, which can be used for medical teaching or surgical guidance and can help to achieve precise positioning of anesthetized area for transperineal prostate biopsy.

The present invention relates to an endoscopic probe for photoacoustic tomography of cavity side walls, characterized by comprising a hollow tubular probe housing with a closed front end; N acoustic wave receiving windows and M laser output windows formed on the side wall of the tubular probe housing; an array of linear laser output ports connected to a pluggable optical fiber connector via an optical fiber bundle; and an ultrasonic transducer array connected to a multi-channel signal connector via a signal harness. The present invention employs a method of arranging array transducers and array laser outputs on the side wall of the probe, eliminating the need for a reflector. The probe is less than 2 centimeters in size and can be placed in close proximity to the prostate through the rectum for photoacoustic imaging of the prostate, or in close proximity to the inner wall of the rectum for photoacoustic imaging of the inner wall of the rectum. The endoscopic probe provided by the present invention, combined with a photoacoustic imaging system host, utilizes photoacoustic endoscopic imaging technology to perform real-time transrectal prostate imaging and rectal imaging, achieving ideal imaging results.

The present disclosure relates to a method of treating prostate specific membrane antigen (PSMA) positive progressive metastatic castration resistant prostate cancer (mCRPC) by administering a therapeutically effective amount of a PSMA binding radioligand therapy (RLT) agent, preferably [177Lu] Lu-PSMA-617 (lutetium (177Lu) vevovortitide Tailaracetam), to a taxane primarily treated patient whose disease progresses after receiving a second generation ARPI.

The invention belongs to the field of biological pharmacy, and provides keratin YK93-4, a coding nucleic acid molecule thereof, an expression vector containing the nucleic acid molecule, a host cell containing the expression vector or genome integrated with the nucleic acid molecule, and a preparation method and a pharmaceutical composition of the keratin YK93-4. The invention also provides application of the keratin YK93-4 and related products thereof in preparation of medicines for treating lung cancer, lymphoma, breast cancer, melanoma, hysteromyoma, benign prostatic hyperplasia and the like.

The invention belongs to the technical field of medical image processing, and particularly relates to a prostate MRI-TRUS deformable image registration method based on structure perception decoupling learning. The method comprises the following steps: designing an anatomical maintenance intensity disturbance module, simulating intensity and artifact differences between different modes on the premise of keeping an anatomical structure unchanged, and generating diversified appearance samples to improve the adaptability of the model to mode changes; a double-flow encoder structure is constructed, space attention latent consistency loss is introduced into a multi-layer feature space, the structure consistency is restrained from the feature level, and deep structure representation learning with the unchanged appearance is achieved; and an enhanced pyramid decoder is adopted to fuse multi-scale structural features layer by layer to predict a registration deformation field, so that high-precision cross-modal alignment is realized. According to the method, structural consistency constraint is carried out on the hidden space level, so that the influence of modal difference and artifacts can be effectively reduced, and the registration precision is improved.

A system to treat a patient comprises a user interface that allows a physician to view an image of tissue to be treated in order to develop a treatment plan to resect tissue with a predefined removal profile. The image may comprise a plurality of images, and the planned treatment is shown on the images. The treatment probe may comprise an anchor, and the image shown on the screen may have a reference image marker shown on the screen corresponding to the anchor. The planned tissue removal profile can be displayed and scaled to the image of the target tissue of an organ such as the prostate, and the physician can adjust the treatment profile based on the scaled images to provide a treatment profile in three dimensions. The images shown on the display may comprise segmented images of the patient with treatment plan overlaid on the images.

Disclosed herein are compounds of Formula (I) or pharmaceutically acceptable salts thereof: wherein R1 and R2 independently represent a hydrogen atom or a deuterium atom; r3'and R3 ''independently represent a hydrogen atom, a methyl group, a methoxyl group, a chlorine atom, a fluorine atom, or a cyano group; r4 represents a hydrogen atom or a fluorine atom; r5 and R5'independently represent a hydrogen atom or a fluorine atom; y represents-CH2-,-CH =,-CR9 =,-O-or-NH-wherein R9 represents a fluorine atom or a (C1-C3) alkyl group; represents a single bond or a double bond; p is 0 or 1; x represents-CH =,-N = or-CR ''= wherein R'' represents a (C1-C3) alkyl or halogen atom, a cyano group, or a (C1-C3) fluoroalkyl group; r7 independently represents a (C1-C3) alkyl group, a halogen atom, a cyano group, or a (C1-C3) fluoroalkyl group; n is 0, 1 or 2; and R6 represents a (C1-C6) alkyl group, said alkyl group being optionally substituted; r8 represents a hydrogen atom, a (C1-C3) alkyl group, a-CH2F group, a-CHF2 group, a-CF3 group, or a (C3-C4) cycloalkyl group. Further disclosed are processes for preparing the same, pharmaceutical compositions comprising the same and the compounds of formula (I) for use as inhibitors and degrading agents of estrogen receptors, in particular for use in the treatment of ovulation dysfunction, cancer, endometriosis, osteoporosis, benign prostatic hyperplasia or inflammation. # imgabs0 #

The present disclosure relates to pharmaceutical compositions comprising [61Cu]Cu-NODAGA-PSMA I&T or a pharmaceutically acceptable salt thereof. The present disclosure also relates to methods of imaging subjects suspected of having or diagnosed with a prostate-specific membrane antigen (PSMA)-expressing tumor by administering the pharmaceutical compositions described herein and generating one or more radiographic images of the subject.

The present invention relates to a gonadotropin-releasing hormone antagonist, which has an antagonistic activity against gonadotropin-releasing hormone and can be used for the prevention or treatment of a sex hormone-dependent disease, such as benign prostatic hypertrophy, hysteromyoma, endometriosis, metrofibroma, precocious puberty, amenorrhea, premenstrual syndrome, or dysmenorrhea, or a prodrug thereof, or a pharmaceutically acceptable salt thereof, or a hydrate or solvate thereof, and a pharmaceutical composition comprising the same.

The present disclosure relates to the synthesis of prostate-specific membrane antigen (PSMA) ligands useful in the treatment of diseases such as cancer. In particular, the present disclosure relates to methods for synthesizing PSMA ligands having a glutamic acid-urea-lysine (GUL) moiety and a chelator that may include a radiometal.

The invention provides a prostate Glison automatic grading method based on multi-level visual basic model feature fusion. The prostate Glison automatic grading method comprises the following steps: step 1, collecting and preprocessing data; 2, training a basic model; 3, extracting image features under multiple resolutions by using the trained model, and extracting single cell features by using a single cell morphology and topology atlas framework sc-MTOP; and step 4, finishing automatic grading of the prostate Glison by adopting the Glison grading prediction model. According to the method, the multi-resolution image features and the single cell features are fused, so that more accurate Glison grading of the prostatic cancer pathological image is realized. By means of multi-center data collection and self-supervised training, the adaptability and generalization ability of the model to different data sources are improved. A cross attention module is introduced, multi-level features are fully integrated, and the classification accuracy is improved. And in combination with expert correction feedback and a pre-training basic model, the utilization efficiency and the model performance of the label-free data are further optimized.

A method of performing a transperineal biopsy procedure including the steps of: inserting an access needle into one of a plurality of needle receiving ports of a displacement member of a transperineal biopsy guide that is secured to the transrectal ultrasound probe; securing the access needle to the displacement member such that a position of the access needle relative to the displacement member is maintained; imaging the prostate of the patient with the transrectal ultrasound probe; inserting the access needle into the perineal access site of the patient; and inserting the biopsy needle through the access needle and into the prostate of the patient.

The invention relates to a molecular probe for targeting a prostate specific membrane antigen and application, and belongs to the technical field of nuclear medicine. The invention provides a molecular probe for targeting a prostate specific membrane antigen, and the molecular probe successfully obtains a PSMA targeting molecular probe by introducing iodobenzene butyric acid and a PEG4 group on the basis of a PSMA-617 molecular structure on the basis of a double-ligand covalent coupling technology. The molecular probe has the advantages that the residence time of the molecular probe in a tumor area is obviously prolonged, the treatment effect is improved, the requirement for radioactive dose is reduced, and radiation damage to surrounding normal tissues is reduced; the specificity is excellent, a tumor area with high PSMA expression can be accurately targeted, and tumors with different PSMA expression levels can be effectively distinguished; the speed of reaching a target tumor is high, and an ideal imaging effect can be realized only in 20 minutes. In conclusion, the molecular probe has great advantages in diagnosis and treatment of PSMA high-expression tumors, and has high specificity and high efficiency.

A vapor delivery system and method is provided that is adapted for treating prostate tissue. The vapor delivery system includes a vapor delivery needle configured to deliver condensable vapor energy to tissue. In one method, the vapor delivery system is advanced transurethrally into the patient to access the prostate tissue. The vapor delivery system includes a generator unit and an inductive heating system to produce a high quality vapor for delivery to tissue. Methods of use are also provided.

The invention belongs to the technical field of medical image segmentation, and relates to a dual-path fusion neural network for prostate precise segmentation and a segmentation method, the neural network constructs a dual-path decoupling encoder architecture based on an nnU-Net framework, captures fine anatomical structure and local texture information through a context sensing residual encoder of a local path, and obtains a dual-path fusion neural network for prostate precise segmentation. A long-range dependency relationship is modeled with linear complexity through a visual state space module of a global path, a double-flow alignment gating module is designed to realize self-adaptive alignment and fusion of cross-path features, and model training is optimized in combination with a mixed loss function and a depth supervision strategy; according to the method, the limitation of an existing segmentation model in the aspect of local structure and global semantic integration is solved, and the segmentation precision, the boundary goodness of fit and the generalization performance of the focus and gland region in the prostate MRI image are improved.

The invention discloses a prostate MRI image segmentation method and system based on an improved U-Net network, and a storage medium, and relates to the technical field of medical image processing. The invention discloses a prostate MRI image segmentation method based on an improved U-Net network. The method comprises the steps of obtaining a prostate MRI image data set, performing slicing processing on each piece of 3D image data in the prostate MRI image data set, and setting a pixel effective area to obtain a prostate input image; a basic U-Net network model is constructed and improved, an up-sampling module symmetrical to down-sampling is added in an encoder, a new down-sampling module is added after the added up-sampling, and a double-branch structure of first down-sampling and then up-sampling and first up-sampling and then down-sampling is formed; meanwhile, an efficient additive attention module is added between the encoder module and the decoder module, so that an O-Net network model is obtained; the prostate input image is input into the O-Net network model, a prostate MRI image segmentation result is obtained, and the segmentation precision of edge details is remarkably improved while deep semantic information is kept.

The invention discloses a prostate precise puncture robot path planning method based on deep learning, and relates to the field of path planning, and the method comprises the steps: carrying out the global path planning based on MRI data before an operation, and abstracting a puncture environment and a planned path into a graph structure model; in an operation, dynamic deformation of the prostate is perceived through a real-time ultrasonic image, and an affected local dangerous area in an initial path diagram is accurately identified based on deformation information. And then, a graph neural network technology is introduced, rapid and intelligent rerouting calculation is performed on the affected local sub-graph to generate a new safe local path, and finally, the new path is seamlessly integrated into the original global path graph to complete efficient correction of the overall path. Therefore, the time-consuming bottleneck of global calculation can be avoided, so that the real-time problem of dynamic path correction in an operation is solved on the premise of ensuring high precision, and the path planning capability of the robot in a dynamic environment is remarkably improved.

The invention belongs to the field of biological pharmacy, and provides keratin YK93-5, a coding nucleic acid molecule thereof, an expression vector containing the nucleic acid molecule, a host cell containing the expression vector or genome integrated with the nucleic acid molecule, and a preparation method and a pharmaceutical composition of the keratin YK93-5. The invention also provides application of the keratin YK93-5 and other products in preparation of drugs for treating lung cancer, lymphoma, breast cancer, melanoma, hysteromyoma, prostatic hyperplasia and the like.