176 results about "Colonoscopes" patented technology

A steerable instrument for endoscopic and / or invasive, e.g. gastroscopic or colonoscopic, applications, such as in surgery, having:a cylindrical element with a proximal end part, a distal end part including a flexible distal portion, an intermediate part between the proximal and distal end parts, and at least one longitudinal element for transferring forces from the proximal end part to the flexible distal portion to control bending of the latter;a tangential spacer arranged adjacent the longitudinal element;a second cylindrical element coaxial with the cylindrical element, with a proximal end part, a distal end part including a flexible distal portion, and an intermediate part there between;a radial spacer attached to the second cylindrical element and protruding into an aperture in the tangential spacer;wherein movement of the tangential spacer both in a longitudinal direction and in a tangential direction of the instrument is confined by the radial spacer.

The invention discloses a polyp segmentation method based on edge guidance and deep supervision PVT. The method aims at a colonoscope image with a polyp, and outputs the position and the shape of the polyp by using a constructed polyp segmentation network. The polyp segmentation network uses PVT-v2 as a backbone network for feature extraction, and further comprises a context fusion decoding branch, a boundary extraction branch, a boundary sensing module and a cascade feature fusion branch. And the context fusion decoding branch serves as an image decoder and receives a semantic feature map output by the PVT-v2 backbone network. And the boundary extraction branch enriches the content of the detail feature map by using a refining module to obtain an edge prediction result. And the boundary sensing module fuses the refined features and the output feature map of the context fusion decoding to obtain a boundary sensing prediction result. And the cascaded feature fusion branch fuses fusion features under different scales layer by layer according to a sequence from deep to shallow, and outputs a final polyp segmentation prediction result P5.

The invention discloses a method for predicting intestinal preparation of a patient before colonoscopy based on machine learning, and the method comprises the following steps: S1, collecting clinical data of the patient, and carrying out the preprocessing of the clinical data; s2, performing feature selection on the collected clinical data by using a Boruta algorithm, and identifying important features related to insufficient intestinal preparation before colonoscopy; s3, constructing a prediction model by utilizing a machine learning algorithm, evaluating the prediction model by adopting a cross validation method, and selecting an optimal prediction model; s4, explaining the optimal prediction model by adopting an SHAP explaining tree model, and identifying a feature which has the greatest influence on a prediction result; s5, clinical data of a to-be-detected patient are transmitted to the optimal prediction model, and intestinal preparation of the patient before colonoscopy is predicted; according to the method, the risk of insufficient intestinal preparation can be accurately predicted, personalized guidance can be provided, the clinical working efficiency is remarkably improved, and the method has important clinical significance.

The present specification is directed towards endoscopes, such as colonoscopes, that provide a broader field of view and allow extended access of surgical tools and also enable efficient packing of all necessary elements in the tip section, while maintaining their functionality. Also described are methods and systems for capturing and displaying still and video images using an endoscope corresponding to a left-side looking, a front-looking and a right-side looking viewing element of an endoscopic tip generated in a native aspect ratio.

Devices for improving adenoma detection during a colonoscopy and, more particularly, to devices positionable at a distal end of an endoscope and structured or configured to expand and retract upon longitudinal or rotational displacement of at least a portion of the device about the endoscope.

The invention relates to the technical field of computer-aided medical treatment, and discloses an intelligent intestinal preparation evaluation method, device and equipment, a medium and a program product, and the method comprises the steps: obtaining an excrement picture; based on a pre-trained image segmentation model, identifying the excrement observation area and the water seal of the drainage hole, and acquiring an identification output probability for the water seal of the drainage hole; brightness feature and texture feature extraction is carried out based on the excrement observation area, and the identification output probability for the water seal of the drainage hole is used as a transparency feature; and according to the brightness feature, the texture feature and the transparency feature, based on a pre-trained intestinal tract preparation quality discrimination model, carrying out quality evaluation. According to the method, intestinal preparation of a colonoscope patient is guided more accurately, and the satisfaction degree of the patient on intestinal preparation is improved.

Disclosed herein are methods and apparatuses for retroflexing a scope, such as a colonoscope. These methods and apparatuses may provide a minimum bending radius and may be safer and more efficient than convention retroflexing. In general, these methods and apparatuses may include a pair of nested elongate members, one of which is configured as the scope (e.g., colonoscope). These methods and apparatuses may be partially or fully automated.

The invention is a device that improves safety and efficiency of colonoscopy by preventing loop formation. It is the plastic overtube with the longitudinal split. The split allows the placement over the shaft of the endoscope when colonoscopy is already in progress and a loop is formed that hinders the further endoscope insertion. The overtube is segmented by oval openings of the split to facilitate placement and to allow using optimal lengths of the overtube. The fastening mechanism is used to close and secure the overtube on the shaft of the endoscope and then it is pushed inside the colon by sliding over the endoscope. Once in place, the overtube is kept steady and provides the semi-rigid conduit for further endoscope insertion. This conduit permits the axial force exerted by the operator to be translated to forward movement of the endoscope tip and eliminates dangerous loop formation.

The invention discloses a marker for early colorectal neoplastic lesion diagnosis and application, and belongs to the technical field of biological medicine. Aiming at the problems of low colonoscopy coincidence rate of colorectal cancer patients at present and limited sensitivity and specificity of existing biomarker diagnosis, LncRNA sequencing research is combined with expanded sample verification to obtain high-specificity and high-sensitivity LncRNA which is highly related to colorectal neoplastic lesions (including adenoma and colorectal cancer), the LncRNA is specifically LOC401585, and the LncRNA has the advantages of high specificity, high sensitivity, high specificity and high sensitivity and can be used for detecting colorectal neoplastic lesions (including adenoma and colorectal cancer). The diagnosis efficacy AUC of the LOC401585 on the adenoma and the colorectal cancer is 0.952 and 0.876 respectively. Therefore, the blood LOC401585 marker can be used for auxiliary diagnosis of colorectal neoplastic lesions, and provides data support for finding novel small molecule drugs with potential treatment value.

The invention discloses an intelligent intestinal preparation scheme management method and system for a colonoscope patient, and relates to the technical field of data processing, and the method comprises the steps: collecting the basic information of the patient and the failure experience of intestinal preparation, extracting personalized features, and carrying out the optimization of an intestinal preparation scheme based on the personalized features, generating a plurality of groups of alternative schemes and selecting an optimal scheme to execute intestinal tract cleaning; the method comprises the following steps: receiving a feedback image, dynamically generating anomaly compensation by using a time sequence anomaly recognition model, performing optimization iteration on an optimal scheme in combination with compensation information, and establishing an optimal intestinal preparation scheme. The technical problems of poor cleaning effect, frequent adverse reaction and low patient compliance caused by lack of individuation and insufficient real-time dynamic adjustment capability of intestinal preparation in the prior art are solved, and the effects of improving the intestinal cleaning effect, reducing the adverse reaction and improving the patient compliance are realized through the design of an individualized intestinal preparation scheme. The compliance of the patient and the examination efficiency are improved.

The invention provides an effective mucous membrane coverage rate-based colonoscope retreating quality real-time evaluation method and system, and relates to the technical field of medical image calculation and processing. The colonoscope retreating quality real-time evaluation method based on the effective mucous membrane coverage rate comprises the steps that a retreating video is obtained, and the retreating video comprises a real-time retreating video and a historical video; preprocessing the mirror retreating video to obtain an optimized data set; extracting effective frames based on the optimized data set; and inputting the effective frame into a preset image segmentation model to obtain an effective colonic mucosa coverage rate which is used for evaluating the despeculation quality. According to the colonoscope retreating quality real-time evaluation method based on the effective mucous membrane coverage rate, the technical problem that the clinical colonoscope retreating process lacks real-time supervision and feedback in the prior art is solved.

Disclosed herein are methods for administering a dose of a microbiota recovery therapy composition by colonoscopy. The methods disclosed herein are useful for the treatment of diseases and / or conditions of the digestive tract, such as Clostridium difficile infection (GDI), including recurrent GDI, and other gastrointestinal disorders. The method can result in improved quality of life. These methods are capable of altering the gut microbiota composition and / or the gut metabolome composition. The microbiota recovery therapy composition comprises a fecal microbiota suspension comprising: a fecal microorganism derived from a human fecal sample, and a solution of polyethylene glycol and brine.

The invention discloses a system and equipment for predicting colorectal cancer and progression thereof. Based on the found expression level difference of AXIN2 and / or EPHB2 in colorectal cancer and the progression thereof, the invention provides a colorectal cancer and progression prediction method, system and equipment, a computer readable storage medium and a computer program product, high-risk groups can be efficiently and accurately screened out from common groups, and colonoscopy is further completed in time. While the economic burden caused by endoscopic screening is relieved, patients suffering from colorectal adenoma and early colorectal cancer are screened out, and the method has great significance in early diagnosis and treatment of colorectal tumor and further remarkable reduction of the morbidity and mortality of colorectal cancer.

This disclosure relates to a method for detecting colorectal cancer. The method comprises determining whether an advanced neoplasm is present in a first screening time period and upon determining that an advanced neoplasm is present in the first screening time period, performing colonoscopy in a second screening time period, after the first screening time period, to detect colorectal cancer. There is further provided a method for stratification of a subject comprising upon detection of an advanced neoplasm in a first screening time period, stratifying the subject into a high risk stratification for developing colorectal cancer in a second screening time period. There is further provided a computer implemented method for calculating a risk score for developing colorectal cancer comprising determining patient data; applying a trained machine learning model to the patient data to determine the risk score; and outputting the risk score.

The application provides a colonoscopy polyp segmentation method based on a multi-scale space reverse attention mechanism, first, a public colon polyp segmentation dataset is collected on a network, and data enhancement processing is performed, and a training set, a test set and a verification set are divided; then, the colon polyp data is input into a designed pyramid Swin Transformer encoder to extract features at four different stages, and multi-scale feature information is extracted through a multi-scale channel attention module to obtain a preliminary aggregated pre-segmentation result; finally, the pre-segmentation result is input into a space reverse attention mechanism module to gradually supplement the edge structure and detail information of the polyp region, so that the purpose of automatically segmenting the colon polyp is achieved. The application is convenient to use, accurate and efficient, has good colonoscopy polyp segmentation effect, and has excellent generalization performance.

The application discloses a colonoscopy image data enhancement method, and belongs to the technical field of computer vision, which comprises the following steps: acquiring multiple original colonoscopy images, fusing the gray information and the saturation information to obtain a set of coordinate points of the reflection area of the original colonoscopy images; calculating the set of coordinate points of the small reflection area from the set of coordinate points of the reflection area and restoring the set of coordinate points to obtain a small reflection area restoration image; converting the source image and the target domain image to the LAB color space; calculating the standard deviation and the mean value of each color channel of the source image and the target domain image except the reflection area and the dark area; migrating the color domain of the source image to the target domain corresponding to the target domain image; restoring the dark area of the migration image to obtain a color domain migration enhancement image; and composing the original colonoscopy image, the small reflection area restoration image and the color domain migration enhancement image into a colonoscopy enhancement image data set, wherein the colonoscopy enhancement image data set is used for subsequent image analysis.

According to the EGANet polyp image segmentation method provided by the invention, the omission ratio and the error detection ratio can be reduced, and the colonoscopy accuracy is improved. The method is designed for three challenges: a ResNet50-SPD encoder is combined with space-to-depth layer downsampling, and a deconvolution decoder is matched, so that the problem of missing detection due to too small polyp size is solved; designing an edge attention module, supervising an advanced feature layer by using edge information, and coping with missing detection and under-segmentation caused by morphological differences; through data set reflection removal and color shift preprocessing, a global attention module is combined to capture long-distance dependence and channel context, and error detection caused by polyp and background similarity is processed. And finally fusing edge and global attention features to relieve over-segmentation. Experiments show that the segmentation precision of the scheme is superior to that of an existing model.

The application relates to the field of medical instruments, and provides an appendix orifice supporting device for endoscopic retrograde appendix treatment, which comprises a support head, a support base, an unfolding piece, a first direction line, a second direction line and an opening and closing piece. A channel is arranged on a colonoscope. The support base is arranged around the front end of the colonoscope. The unfolding piece is arranged in at least three groups and is arranged in sequence along the support base. The opening and closing piece is located in the channel and is divided into a pushing end and a connecting end. The pushing end is located outside the colonoscope. When the pushing end is pushed, the connecting end moves along the channel and extends out of the channel. The support head is an elastic structure with expansion characteristics, and the bottom is connected with the connecting end and the unfolding piece. The application has the advantages of conveniently providing support for the appendix orifice and providing the effect of extending a sub-scope into the appendix cavity for shooting, exploration and treatment on the basis of facilitating colonoscope treatment.

The utility model relates to the technical field of colonoscopes, in particular to an electronic colonoscopy air bag injection device which comprises an air pump body, an air inlet pipe and an air outlet pipe are installed at the output end of the air pump body, the colonoscopy body is arranged on one side of the air pump body, and the air inlet pipe and the air outlet pipe are connected with the colonoscopy body. Limiting rings are fixedly connected to the ends of the air connecting pipe and the air outlet pipe. According to the electronic colonoscopy air bag injection device, through the arrangement of the air pump body, the air inlet pipe, the air outlet pipe, the colonoscopy body, the limiting ring, the air outlet and the air inlet, when the electronic colonoscopy air bag injection device is used, an external power source of the air pump body conveys air into the air inlet pipe, and the air in the air inlet pipe conveys the air into the limiting ring fixed to the colonoscopy body and is exhausted from the air outlet; when the air is conveyed, the air bag is expanded to swell and expand the intestinal tract, so that the effect of expanding the intestinal tract and preventing the intestinal tract from being damaged due to friction of the colonoscope body is achieved.

To provide peptides and compositions useful for treatment of gastrointestinal disorders or for colon cleansing.SOLUTION: The present invention provides compositions and methods of treating gastrointestinal disorders as well as pharmaceutical compositions for accomplishing the same. In some embodiments, these pharmaceutical compositions include oral dosage forms. The present invention features peptides, compositions and related methods for colon cleansing treatment as well as other conditions and disorders described herein. In one embodiment, the peptides may be used to prepare subjects for colonoscopy treatment. In some embodiments, the peptides or pharmaceutically acceptable salts may be used to prepare subjects for surgery, such as bowel surgery.SELECTED DRAWING: None

The invention provides a spraying device for coprophilous fungus transplantation. The spraying device comprises a tank body and a cover body component, the tank body is used for accommodating coprophilous fungus liquid to be transplanted; the cover body component comprises a cover body, a pipeline and an air pump; the cover body seals an opening in the upper end of the tank body; a first round hole and a second round hole are formed in the cover body; the first end of the pipeline is closed, the second end of the pipeline is open, the first end of the pipeline is inserted into the intestine of a subject through an instrument hole of the colonoscope, and a plurality of spraying holes are formed along the peripheral surface of the first end of the pipeline; the second end of the pipeline penetrates through the cover body through the first round hole and then is inserted into the bottom of the tank body; an air pump is mounted on the upper side of the cover body; the output end of the air pump is inserted into the second round hole; the air pump is used for pumping external air into the tank body, so that the air pressure in the tank body is increased, under the action of the air pressure, the coprophilous bacteria liquid in the tank body is pushed into the pipeline through the second end of the pipeline and conveyed to the first end of the pipeline, and the coprophilous bacteria liquid is sprayed to the inner circumferential surface of the intestine of a subject through the spraying holes in the circumferential surface of the first end of the pipeline.

Single viewpoint panoramic imaging attachments for a colonoscope are disclosed that are compact in size and provide 360-degree side and rear-views in a single image. One panoramic attachment assembly includes a plurality of micro-imaging subsystems that are positioned around a central opening. Each micro-imaging subsystem includes a reflector to receive light that is reflected from a surrounding tissue, an imaging lens, and a detector to generate signals corresponding to one section of a panoramic image of the surrounding tissue. The micro-imaging subsystems are arranged to all have a common view point, and are configured to collectively form a full 360-degree image of the surrounding tissue.

The present invention relates to a colon cleansing composition with improved ease of administration. The composition minimizes side effects caused by excessive ingredient content in conventional colonic laxatives while providing equivalent or superior intestinal cleansing efficacy, thereby remarkably improving patient compliance and ingestion convenience. In addition, as an uncoated tablet requiring no separate coating processes, a preparation that maintains the quality of tablets such as rapid disintegration and does not have a bitter taste can be provided. The present invention provides a pharmaceutical formulation comprising the colon cleansing composition with improved ease of administration and a method for colon cleansing using the formulation, thereby realizing a patient-centered colon cleansing process and ultimately greatly contributing to the improvement of colonoscopy quality.

The present application relates to the technical field of image processing, in particular to a colonoscopy coverage evaluation method and system based on three-dimensional reconstruction, a storage medium and a computer device, comprising the following steps: S01, screening information frame image: input the examination image into the trained classification neural network, perform information frame screening, if the screening result meets the requirements, enter S02, otherwise, issue a warning; S02, colonoscope depth prediction: input the information frame screened in step S01 into the trained depth prediction neural network, obtain a depth map D; S03, colonoscope pose estimation: input the RGB-D data output by step S02 into the trained pose estimation network, output the pose P of the endoscope; S04, reconstruct the three-dimensional model of the colon; S05, calculate the coverage, reconstruct the three-dimensional model of the intestinal tract according to the endoscopic images in the examination process, and calculate the coverage, when the coverage is less than 90%, issue a warning to avoid missed diagnosis and improve the examination efficiency.

A magnetic handpiece for an endoscopic guide is for application in colonoscopy. A magnetic handpiece system includes the magnetic handpiece and a casing. The magnetic handpiece includes a magnetic field source having one or more permanent magnets, and a hollow body having a longitudinal axis, a first end and a second end. A movable support element of the magnetic source is movably accommodated in the hollow body through a screw coupling. The movable support element is movable along the axis between a raised, or non-operating, position and lowered operating positions.

The invention relates to the technical field of colorectal cancer auxiliary detection, and particularly discloses a blood methylation site combination and a detection kit for early diagnosis of colorectal cancer, and the method comprises the following steps: providing a blood sample of a person to be detected for obtaining cfDNA; the cfDNA is subjected to bisulfite treatment, and the transformed DNA is obtained; amplifying the transformed DNA by using a multiplex fluorescence PCR (Polymerase Chain Reaction) method to obtain fluorescence signal data of each gene; calculating a Ct value of each gene based on the fluorescence signal data, comparing the Ct value with a preset Cut-off value, and judging whether the colorectal cancer exists or not; according to the present invention, the invasive operation of the colonoscope can be replaced, the screening can be completed through the blood sample, the patient compliance can be significantly improved, the method is suitable for the large-scale early screening, the trace tumor signal in the blood can be efficiently captured based on the methylation marker highly related to the colorectal cancer, and the accurate early canceration identification can be achieved.

Disclosed are a system and method for analyzing a stool image, which derive the state of the large intestine of a user by analyzing a stool image by using a pre-trained deep learning model. The system for analyzing a stool image may include an input unit configured to receive stool images of a user, a data set generation unit configured to generate a data set by grouping the stool images in chronological order, an analysis unit configured to derive information on a stool state of the user or information on a state of the large intestine of the user by analyzing the data set, and an output unit configured to output the information on the stool state or the information on the state of the large intestine. The endoscopic activity of ulcerative colitis can be predicted from a camera image of stool even without performing a colonoscopy.

The present invention relates to improved methods for screening, diagnosing and / or monitoring colorectal advanced neoplasia (AN), advanced adenoma (AA) and / or colorectal cancer (CRC), wherein AN includes CRC and AA. In particular, the method provides increased specificity due to a reduction in false positive results in fecal occult blood tests (FOBTs) using characteristics based on bacterial markers. The present invention further relates to the use of the method in selecting subjects for exploratory testing (e.g., colonoscopy) or for treatment with anticancer therapy.

The invention relates to the crossing field of medical artificial intelligence and computer vision, and discloses a colonoscope polyp image generation method based on a bidirectional information constraint diffusion model, and the method comprises the steps: constructing and training a noise prediction network based on conditional mask constraint and dynamic reweighting loss; the colon polyp mirror image generating module is used for generating a colon polyp mirror image of a corresponding polyp tissue with the quality meeting the requirement under the guidance of the condition mask; executing a sampling process based on bidirectional information constraint, dynamically combining a foreground generation image and a real background constraint image, inputting a condition mask to the noise prediction network, and gradually synthesizing a colon polyp mirror image containing a real enteric cavity structure and a condition polyp tissue; and executing a sampling process based on bidirectional information constraint, dynamically combining a foreground generation image and a real background constraint image, inputting a condition mask to the noise prediction network, and gradually synthesizing a colon polyp mirror image containing a real enteric cavity structure and a condition polyp tissue. The performance of the segmentation model can be effectively improved.

This application relates to the field of medical data processing technology, and discloses a screening and intervention system and method for bowel preparation before outpatient colonoscopy, including: providing patients with standardized bowel preparation guidance information; receiving image data of excrement uploaded by patients after bowel preparation; inputting the image data into a pre-trained intelligent judgment model for bowel preparation quality to generate quantitative scores and pass / fail judgment results; and executing an intervention decision process based on the judgment results, including confirming the examination or triggering a rescheduling and supplemental bowel preparation medication instructions. Through the above technical solution, this application achieves objective and quantitative assessment of bowel preparation quality and closed-loop dynamic intervention before examination, effectively improving assessment accuracy, avoiding waste of medical resources, and systematically improving the overall efficiency and safety of outpatient colonoscopy.