48 results about "Heterotaxy" patented technology

Method and apparatus for monitoring a patient having a tumor to determine perfusion tumor heterogeneity wherein a solution containing a tracer, preferably a <2>H-saline solution is infused into the patient's bloodstream at a predetermined slow rate to effect perfusion into the tumor. An MRI machine is adjusted to acquire a set of dynamic <2>H magnetic resonance images of the tumor. The <2>H-images are obtained before infusion, during infusion and post infusion. First, the obtained images are processed to quantitatively determine perfusion per voxel of the images. Next, maps of perfusion parameters are generated to indicate spatial distribution of tumor perfusion. The maps are displayed in color code and analyzed.

Methods and devices are disclosed for detecting vulnerable atherosclerotic plaque, or plaque at risk of reducing blood flow in a vessel, by identifying a region of elevated temperature along a living vessel wall. The disclosure that human atherosclerotic plaque with measurable temperature heterogeneity has the morphological characteristics of plaque that is likely to ulcerate provides a new and sensitive technique for detecting and treating these dangerous plaques before myocardial infarction and its consequences occur. The disclosed methods are advantageous over conventional plaque detection techniques because they are capable of differentiating between those plaques that are at great risk of rupture, fissure, or ulceration, and consequent thrombosis and occlusion of the artery, and those that are not presently at risk. Infrared heat-sensing catheters useful for identifying potentially fatal arterial plaques in patients with disease of the coronary or other arteries are also described. In some embodiments a coherent infrared fiber optic bundle is employed to radially and longitudinally explore a luminal wall to identify inflamed, heat-producing, atherosclerotic plaque. Certain other methods and devices are disclosed which are particularly suited for non-invasively identifying and then monitoring the progression or amelioration of an inflamed plaque in a patient, and for monitoring for onset of inflammation in an implanted arteriovenous graft. Also disclosed are thermocouple basket catheters and thermistor basket catheters which are also capable of detecting temperature heterogeneity along a vessel wall.

An improvement in a method for quantitative modulated imaging to perform depth sectioned reflectance or transmission imaging in a turbid medium, such as human or animal tissue is directed to the steps of encoding periodic pattern of illumination preferably with a fluorescent excitation wavelength when exposing a turbid medium to the periodic pattern to provide depth-resolved discrimination of structures within the turbid medium; and reconstructing a non-contact three dimensional image of the structure within a turbid medium. As a result, wide field imaging, separation of the average background optical properties from the heterogeneity components from a single image, separation of superficial features from deep features based on selection of spatial frequency of illumination, or qualitative and quantitative structure, function and composition information is extracted from spatially encoded data.

A system and a method for inducing resonance of a heterogeneity or a sample within a body, the system comprising a shear wave generator, and a detection unit; the shear wave generator generating shear waves applied to the body and selectively inducing mechanical resonances of the heterogeneity, the detection unit detecting the induced mechanical resonances. The induced resonance of the heterogeneity is achieved by applying to the body one of: i) shear waves substantially parallel to a longitudinal axis of the heterogeneity; ii) shear waves polarised substantially perpendicularly to said longitudinal axis; iii) shear waves substantially circumferential to the heterogeneity; and iv) planar shear waves.

The invention discloses a method for identifying a cancer molecular subtype based on a spectral clustering algorithm of a sparse similar matrix. The method is characterized in that based on the spectral clustering algorithm of the sparse similar matrix, a cancer molecular subtype prediction model is built by utilizing cancer gene expression profile data as a training set sample; and the prediction model is used for predicting a cancer modular subtype of an independent test set sample, and a cancer sample set is divided into multiple types of molecular subtypes. According to the method, various patients with different prognosis effects are effectively distinguished for high heterogeneity of cancer molecular expression level, and different individual treatment schemes can be made for various cancer patients respectively.

A method and system for predicting the onset of heart arrhythmias more accurately observes trends in abnormal or pathologic morphology of the electrocardiogram (ECG). A first set of ECG signals is monitored from a patient. A baseline measurement is generated from the monitored first set of ECG signals to contain nonpathologic ECG morphologies in each lead. A second set of ECG signals is monitored from the patient and the baseline measurement is subtracted from the second set of ECG signals on a beat-to-beat basis. Afterwards, a residuum signal is generated for each lead based on the subtraction. R-wave heterogeneity, T-wave heterogeneity, P-wave heterogeneity, or ST-segment heterogeneity or other indicators of arrhythmia risk or myocardial ischemia are quantified based on the generated residuum signals.

The invention discloses a liver cancer image omics data processing method, system and device and a storage medium. The method comprises the steps of obtaining an upper abdomen CT image of a liver cancer patient, calculating image omics data corresponding to the upper abdomen CT image, calculating a linear combination of the plurality of image omics characteristic values, and dividing the liver cancer patient into a hepatic artery chemoembolization reaction group or a hepatic artery chemoembolization reaction-free group according to a magnitude relation between the predicted value and a presetthreshold value. The used imaging omics technology can extract the tumor feature information contained in the CT image from the three-dimensional perspective in an omnibearing mode, and the defect that tumor heterogeneity is not considered in an existing method is overcome; and patients are divided into a reaction group and a non-reaction group according to scores of the imaging characteristics ofpatients, so that the clinical guiding significance is good, and a better decision reference is provided for clinical workers. The method is widely applied to the technical field of data processing.

The invention discloses a blood platelet LncRNA quantitative determination method for non-small cell lung cancer diagnosis, and belongs to the field of oncomolecularbiology. Currently, lung cancer diagnosis mainly depends on traumatic tumor tissue clinical symptoms, radioautography, biochemical detection, pathological test and other aspects, and tissue heterogeneity exists. In order to solve the problems, it is proved that expression of platelet long-chain non-coding RNA MAGI2-AS3 and ZFAS1 of an NSCLC patient is lower than that of a normal person; on the basis, a real-time fluorescent quantitative PCR kit for non-small cell lung cancer diagnosis is prepared. Through expression quantity data obtained by MAGI2-AS3 and ZFAS1 combined real-time fluorescent quantitative PCR amplification, a logistic regression fit data model of non-small cell lung cancer diagnosis is established, and the model has high diagnosis efficiency and sensitivity to a non-small cell lung cancer and has deep clinical significance and generalization performance.

The invention discloses a system and a method for tumor heterogeneity assessment and particularly provides a molecular clone analysis method. On the basis of various types of variation detection results of high-throughput sequencing in circulating tumor DNA, all variations are divided into different molecular clones to realize tumor heterogeneity assessment by molecular clone levels. By adoption of the method, tumor heterogeneity assessment based on ctDNA high-throughput variation detection is realized to effectively assist in making of tumor prognosis and treatment schemes.

The invention provides a method and device for constructing a brain disease classification model, and an intelligent terminal. The brain disease classification model construction method comprises the steps of obtaining Rs-fMRI image data from multiple brain disease data sets; based on a plurality of preset brain templates, preprocessing the Rs-fMRI image data to obtain an average time sequence; constructing a functional connection network corresponding to each brain disease data set and the brain template according to the average time sequence, and extracting features from the functional connection network to obtain a feature matrix; constructing a plurality of initialized brain disease classification models corresponding to each brain disease data set according to a preset sparse learning model, a regularization item and a feature matrix; and performing integrated learning on the plurality of initialized brain disease classification models, and determining a target brain disease classification model corresponding to each brain disease data set. According to the method, the constructed brain function connection network has more physiological significance, the problem of high heterogeneity in data can be effectively solved, and the universality of a brain disease classification model is improved.

The invention relates to the establishment of a model for screening medicaments for resisting heterogeneous and multi-reason senile dementias, which is characterized in that the common carotid arteries on two sides of each group of aging rats are ligated repeatedly to block blood flow, the rats are fed for three days after operations, and the alive rats in good condition are intracerebrally injected with Abeta1-40 (incubated 1 W at a temperature of 37 DEG C) which is diluted to be 5 micrograms per microliter by sterile normal saline. The establishment has the following advantages: by using the model, a damage model of the aging rats with declined learning and memory functions is provided for the studies on the nosogenesis of old age AD, VD and mixed dementias and the correlative curative effect of medicaments, and the model can reflect the actual brain pathology damage conditions of senile dementia patients.

The invention belongs to the technical field of medical treatment and pyradiomics, and particularly relates to a gene heterogeneity visual quantification method in glioma based on pyradiomics and a system. The method of the invention comprises the steps of segmenting a glioma magnetic resonance image by means of an image segmenting network 3D U-net; performing predictive modeling on the integral glioma IDH (isocitrate dehydrogenase), namely performing high-flux characteristic extraction and characteristic screening on the image, and screening a characteristic combination which is most sensitive and most effective to gene expression; performing heterogeneous modeling on the glioma IDH based on an image block, extracting a multi-dimensional data block of the glioma image, obtaining the IDH expression strength of each data block based on the integral predicting model; and finally forming the IDH distribution visualization and quantitative expression of the whole tumor. The method and thesystem have advantages of more accurately determining the prognosis and radiotherapy and chemotherapy sensitivity of the patient, realizing surgery resection and targeting treatment in heterogeneous atlas navigation, and realizing high clinical value in improving treatment effect of the patient and improving survival prognosis.

The invention belongs to the field of the medical image analysis, specifically a quantitative description method of PET image nasopharyngeal carcinoma intra-tumor heterogeneity. The method comprises the following steps: acquiring PET/CT scanning data of a patient, and converting the PET/CT scanning data into a standard SUV image; performing three-dimensional segmentation on the primary focus at the nasopharynx; performing discretization processing on the focus, and constructing four image omics matrixes for the processed focus, and comprehensively considering five parameter settings of symmetry, the average policy, the distance, the neighborhood number and window width size in the matrix construction process; extracting 415 texture features from the constructed matrix, and realizing the quantitative description of the intra-tumor metabolic heterogeneity by combining five traditional SUV features. The intra-tumor metabolic heterogeneity is described more comprehensively by sufficientlymining the information contained in the non-invasive PET image, thereby providing the quantitative evaluation index for precisely identifying the nasopharyngeal carcinoma by the doctor.

A system for characterizing intercellular communication and heterogeneity in cancer tumors, and more particularly a method for detecting sub-populations and receptor-ligand states for providing predictive information in relation to cancer and cancer treatment is disclosed. The system comprises the steps of obtaining from a NGS sequencer, single-cell RNA-seq for a plurality of cells within a tumor, correlation with a plurality of data sets from a curated gene list of receptor-ligand pairs, normalizing their transcript abundance data, assigning states (e.g. 0,1,2,3) to each curated receptor-ligand pair in each cell (e.g. depending on {L:R}={0:0, 0:1, 1:0, 1:1}), thereby forming a matrix of receptor-ligand states, extracting sub-groups from the matrix that are not invariant and applying unsupervised clustering methods to identifying sub-clusters, identifying sub-populations within the set based on pair-wise distances between individual cells and similarity of cellular transcriptomes, identifying expressed ligands and receptors across the sub-populations, cross-referencing against the curated set of receptor-ligand pairs and providing a visually display the results by a mapping module for the clinician. The method can be used to study intercellular communication to elicit the etiology of diseases, and can be used to measure the disruption of intercellular communication to diagnose similarly disrupted disease patterns across patients.