30 results about "Colon polyps" patented technology

A method for the early diagnosis of breast, lung, pancreatic and colon growths and cancers as well as conditions associated with donor and recipient organ transplants, both before and after transplantation to identify and allow treatment of possible transplanted organ rejection and other disease conditions related and unrelated to the transplantation, compares the gene expression patterns from a patient's peripheral blood monocytes-lymphocyte's gene system with either the similar gene expression patterns of a normal person, or with the similar gene expression patterns of a person known to have the condition being screened for. Differences between the patient's gene expression patterns for particular genes and the normal patterns indicates the presence of the condition with the number of differences indicating the probability of the condition. Similarities between the patient's gene expression patterns for those particular genes and the patterns of a person known to have the condition indicates the presence of the condition with the number of similarities indicating the probability of the condition. For example, particular genes for use in identifying pancreatic cancer are disclosed.

A method and system of CT colonography is presented that includes the acquisition of energy sensitive or energy-discriminating CT data from a colorectal region of a subject. CT data is acquired and decomposed into basis material density maps and used to differentiate and enhance contrast between tissues in the colorectal region. The invention is particularly applicable with the detection of colon polyps without cathartic preparation or insufflation of the colorectal region. The invention is further directed to the automatic detection of colon polyps.

A method of identifying spherical objects in a digital image is provided. The image comprises a plurality of 3D surface points. The method includes computing, at each point in a domain of the image, a gradient of the image; computing an elementary structure tensor at each point in the domain of the image; determining a structure tensor for each point in the domain of the image; finding the eigenvalues of the structure tensors; and calculating an isotropy measure for each structure tensor, wherein said isotropy measure is defined by a ratio of a smallest eigenvalue of said structured tensor by a largest eigenvalue of said structure tensor, wherein a spherical object correspond to an isotropy measure equal to unity.

A method for the early diagnosis of breast, lung, pancreatic and colon growths and cancers as well as conditions associated with donor and recipient organ transplants, both before and after transplantation to identify and allow treatment of possible transplanted organ rejection and other disease conditions related and unrelated to the transplantation, compares the gene expression patterns from a patient's peripheral blood monocytes-lymphocyte's gene system with either the similar gene expression patterns of a normal person, or with the similar gene expression patterns of a person known to have the condition being screened for. Differences between the patient's gene expression patterns for particular genes and the normal patterns indicates the presence of the condition with the number of differences indicating the probability of the condition. Similarities between the patient's gene expression patterns for those particular genes and the patterns of a person known to have the condition indicates the presence of the condition with the number of similarities indicating the probability of the condition. For example, particular genes for use in identifying pancreatic cancer are disclosed.

A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.

A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.

A method of identifying spherical objects in a digital image is provided. The image comprises a plurality of 3D surface points. The method includes computing (101), at each point in a domain of the image, a gradient of the image; computing (102) an elementary structure tensor at each point in the domain of the image; determining (103) a structure tensor for each point in the domain of the image; finding (104) the eigenvalues of the structure tensors; and calculating (105) an isotropy measure for each structure tensor, wherein said isotropy measure is defined by a ratio of a smallest eigenvalue of said structured tensor by a largest eigenvalue of said structure tensor, wherein a spherical object correspond to an isotropy measure equal to unity.

The present invention relates to a method for predicting the incidence of a colon tumor, such as a colon polyp and colon cancer, and a causative factor thereof through metagenomic analysis of a bacterium-derived vesicle present in a human body-derived substance. More particularly, the present invention relates to a method for diagnosing a causative factor of a colon tumor and the risk of the incidence thereof by sequencing a metagenome present in a bacterium-derived vesicle present in excrement or urine. There are trillions of bacteria in an intestine, and the bacteria secrete vesicles out ofthe cells thereof for the purpose of information exchange. The bacteria are not absorbed into epithelial cells in a colon, but the vesicles secreted therefrom pass through the mucous membrane, are absorbed into the colonic epithelial cells, are distributed throughout the body via blood, and then are excreted through a liver and a kidney. The bacteria-derived vesicles may increase or decrease the occurrence of inflammation and cancer, and the present invention can be useful as a method for diagnosing the risk of the incidence of a colon tumor or a causative factor thereof by sequencing a genetic metagenome of a bacterium-derived vesicle present in a human body-derived substance. Further, an early diagnosis can still be made even after the incidence of a colon polyp or the onset of colon cancer, and the incidence of colon cancer can be lowered, and the treatment effect can be enhanced.

A set of enhancements to further improve the performance of deep learning artificial intelligence algorithms trained to detect and localize colon polyps. The enhancements spanning training data mining efficiencies and automation, training data augmentation, early detection of polyps enable a more performant colon polyp detection solution for use on colonoscopy procedure recordings or live procedures in endoscopy centers.

Provided herein are pharmaceutical compositions, therapeutic combinations, devices and methods for treating, ameliorating, reversing, causing the remission of, and / or preventing (acting as a prophylaxis, or preventing the initiation of) an inflammatory bowel disorder (IBD) or inflammatory bowel disease (IBD), Ulcerative Colitis; Crohn's disease; J-pouch; fistulising Crohn's disease; a Colitis which can be microscopic, lymphocytic or collagenous; an eosinophilic colitis; indeterminate colitis; idiopathic colitis; diverticulosis and diverticulitis; relapsing diverticulitis; constipation associated inflammatory bowel disease and / or small intestinal bacterial overgrowth; Irritable Bowel Syndrome (IBS) with or without diarrhoea, constipation or pain predominant IBS; periodontitis; rheumatoid arthritis; respiratory infections, appendicitis, vascular disorders such as thrombophlebitis; bacteremia; osteomyelitis; septic shock; Alzheimer's disease; Lemierre syndrome (postanginal sepsis); colonic polyps or adenomas (optionally hyperplastic, adenomatous or serrated adenomas) or preventing the growth of colonic polyps or adenomas, bowl cancer, or metastases (optionally preventing the initiation or promotion of bowl cancer or metastasis); pharyngitis; otitis; sinusitis; and any disease, symptom or condition caused or exacerbated by a Fusobacteria (optionally, a F. nucleatum or F. varium) infection. In alternative embodiments, pharmaceutical compositions comprise rifaximin alone or in combination with other antibiotics or drugs.

A colon polyp image processing method and apparatus and a system are disclosed in the embodiments of this application to detect a position of a polyp in real time and determine a property of the polyp, and thereby improve the processing efficiency of a polyp image. Embodiment of this application provide a colon polyp image processing method that can include detecting a position of a polyp in a to-be-processed endoscopic image by using a polyp positioning model, and positioning a polyp image block in the endoscopic image. The polyp image block can include a position region of the polyp in the endoscopic image. The method can further include performing a polyp type classification type on the polyp image block by using a polyp property identification model, and outputting an identification result.

The present invention relates to a pharmaceutical composition for treating colorectal cancer including a material inhibiting the enzyme activity of peroxiredoxin 2 as an active ingredient, and more specifically, to a pharmaceutical composition for treating colorectal cancer, which exhibits the effect of reducing colon polyps via increase of active β-catenin degradation by inhibiting the activity of peroxiredoxin 2, based on the mechanism that promotes colorectal tumor by the interaction between peroxiredoxin 2 (PrxII) and tankyrase (TNKS) in an APC-mutant cell.

The invention provides a traditional Chinese medicine composition for treating intestinal polyps. The traditional Chinese medicine composition is prepared from, by weight, 5-10 parts of nodus nelumbinis rhizomatis, 5-10 parts of fructus mume, 5-15 parts of bombyx batryticatus, 1-5 parts of alumen, 1-5 parts of dried alum, 5-10 parts of bile, 20-40 parts of fructus mume preparata, 2-10 parts of rhizoma coptidis, 6-15 parts of stir-baked amur cork tree bark, 3-10 parts of aconitum carmichaeli debx, 2-10 parts of baked ginger, 3-12 parts of ramulus cinnamomi, 2-10 parts of herbal asari, 2-10 parts of dried peel of zanthoxylum schinifolium or zanthoxylum bungea, 3-15 parts of stir-baked radix codonopsis, 9-15 parts of radix angelica sinensis, 9-30 parts of rhizoma curcumae, 3-12 parts of stir-baked squama manitis, 9-15 parts of radix aucklandiae, 9-15 parts of semen arecae and 20-50 parts of all-grass of patrinia scabiosaefolia. The traditional Chinese medicine composition can be used for preparing medicine for treating colon polyps and rectal polyps and has the advantages of removing slough and promoting growth of tissue regeneration, cooling blood, stopping bleeding, stopping pain, taking effect quickly and being capable of achieving radical treatment and the like.

A method of formatting data for identifying colon polyps in a Computed Tomography Colonography (CTC) dataset comprising the steps of: extracting colon surface data, from the CTC dataset, within a sub-volume centered on a candidate polyp (CP) seed point; identifying individual sets of points corresponding to the CP's body and CP's base within the sub-volume; selecting the points corresponding to the body; re-formatting the candidate polyp by projecting the selected points corresponding to the body on to a tangent plane; and generating a series of cutting planes based on the reformatted candidate polyp.

The invention relates to capsules, matrix tablets and micropill preparations for colon-localized release of meloxicam / β-cyclodextrin or derivatives thereof. The preparation utilizes the principle that the colonic flora can degrade the polysaccharide cyclodextrin, combined with the pH-sensitive coating material or carrier, enables the drug preparation to achieve the precise positioning effect of specific release in the colon, and solves the problem of the drug before reaching the colon. The problem of burst release and the problem of rapid release in the mucous environment of the colon. The preparation of the invention is beneficial to the treatment of meloxicam on local diseases of the colon, such as ulcerative colitis, colon cancer, colon polyps and the like.