712results about "X-ray constrast preparations" patented technology

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

Embodiments of the present invention are directed to the treatment of hypertension, diabetes, obesity, heart failure, end-stage renal disease, digestive disease, urological disease, cancers, tumors, pains, asthma, pulmonary arterial hypertension, and chronic obstructive pulmonary disease by delivering of an effective amount of formulations at desired temperature to target tissue. The formulations include gases, vapors, liquids, solutions, emulsions and suspensions of one or more ingredients. The temperature may enhance safety and efficacy of the formulations for the treatments. The amounts of the formulation and / or energy are effective to injury or damage the tissues to have a benefit of symptom relive.

The invention discloses a medical developing marker and a manufacturing method thereof, and relates to the field of medical instruments, the medical developing marker comprises a closed tube, the outer wall of the closed tube is provided with a bionic barb structure, the bionic barb structure is distributed in a flexible zigzag convex manner, and the bionic barb structure and the closed tube are integrally formed through an injection molding process; a closed cavity is arranged in the closed tube, four developing strips are symmetrically arranged in the tube wall of the closed cavity, the tube wall of the region where the developing strips are located is etched to form a weak band, and a developing material layer and a sustained-release medicine layer are sequentially deposited at the weak band. The developing material layer and the sustained-release drug and / or marked nano-particle layer are alternately deposited to form a functional composite layer, and the functional composite layer can directionally rupture to release the therapeutic drug under the action of implantation pressure. The marker integrates the functions of precise development, tissue anchoring and drug sustained release, is adaptive to multi-mode imaging such as ultrasonic imaging, X-ray imaging, CT imaging, MRI imaging and PET-CT imaging, and has remarkable clinical value in precise positioning treatment of solid tumors such as breast cancer and liver cancer.

Embodiments of the present invention are directed to the treatment of hypertension, diabetes, obesity, heart failure, end-stage renal disease, digestive disease, urological disease, cancers, tumors, pains, asthma, pulmonary arterial hypertension, and chronic obstructive pulmonary disease by delivering of an effective amount of formulations at desired temperature to target tissue. The formulations include gases, vapors, liquids, solutions, emulsions and suspensions of one or more ingredients. The temperature may enhance safety and efficacy of the formulations for the treatments. The amounts of the formulation and / or energy are effective to injury or damage the tissues to have a benefit of symptom relive.

The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for imaging cancer-associated fibroblasts (CAFs) in the tumor microenvironment of a patient. The present teachings relate generally to method of making conjugates comprising a fibroblast activation protein (FAP) inhibitor.

The present invention relates to magnetic, catalytically active, and radiosensitizing nanoparticles (NanoXcats) and the method for their production. A method is disclosed for the production of functionalized greigite nanoparticles with a narrowband size distribution (10-30 nm) for use in multimodal cancer therapy. NanoXcats are superparamagnetic Fe3S4 nanoparticles whose surfaces are equipped with polar functional groups. The surface structures of NanoXcats are suitable for conjugation with, or for covalent or electrostatic binding of, active substances, which may be cancer drugs, cell growth inhibitors, or NO donors. Due to the EPR effect, NanoXcats are preferentially internalized by tumor cells. The targeted accumulation of NanoXcats in tumor tissue is achieved by an external inhomogeneous magnetic field. NanoXcats exhibit enhanced catalytic activity in tumor cells.The catalytic activity of intracellular NanoXcats can be triggered, controlled, and enhanced by low-dose X-rays. Surface-bound drugs are additionally activated in tumor cells by the catalytic activity of NanoXcats. NanoXcats act as superoxide dismutase, nitric oxide synthase, and Fenton catalyst. They catalyze, for example, reactions of the superoxide anion radical to hydrogen peroxide, of L-arginine to NO, and of hydrogen peroxide to the hydroxyl radical.

The invention provides a radionuclide-labeled PDL1 targeting small protein as well as a preparation method and application thereof. Specifically, the invention provides a radionuclide-labeled PD-L1 targeted small protein probe and a preparation method thereof, and the radionuclide-labeled PD-L1 targeted small protein probe is used for diagnosis of malignant tumors, accurate positioning of focuses, curative effect monitoring and radioimmunotherapy. The small protein conjugate provided by the invention can be prepared by labeling in a temperature range from room temperature to 60 DEG C, and compared with other nuclides or linkers, the coupling efficiency is higher, and the finished product is more stable.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The present invention provides an encapsulated gas or partial vacuum particle contrast media for use in CT imaging. In an exemplary embodiment, the invention provides an enteric contrast medium formulation. An exemplary formulation comprises, (a) an enteric contrast medium comprising a encapsulated gas or partial vacuum particle suspended in water. Exemplary encapsulated gas or partial vacuum particle has a specific gravity between 0.2 and 1.5. In various embodiments, the encapsulated gas or partial vacuum particle is suspended in aqueous media by an agent compatible with enteric administration of the formulation to a subject in need of such administration. In an exemplary embodiment, the contrast material is incorporated into a pharmaceutically acceptable carrier in which the material is suspended homogeneously. In an exemplary embodiment, the encapsulated gas or partial vacuum particle comprises 5% or more of the weight of the contrast material formulation. The invention also provides methods for imaging of the abdomen by dual energy CT or spectral CT contemporaneously with the delivery of the encapsulated gas or partial vacuum particle contrast material into the bowel lumen with or without the deliver of a second complementary contrast material into the blood vessels or other body compartments. The invention also provides methods for the digital separation of CT signal produced by the contrast media of the invention from the CT signal produced by other contrast media or bodily tissues to generate multiple resultant CT images with the contrast medium of the invention subtracted or highlighted.

The invention belongs to the field of molecular imaging probes for cancer diagnosis, and discloses a targeted nucleic acid aptamer aiming at tumor-associated calcium channel sensing protein 2, a molecular imaging probe for diagnosing lung cancer and a preparation method of the molecular imaging probe. The nucleic acid aptamer contains 46 nucleotides, can specifically target the surface Trop-2 of a lung cancer tumor cell, has a specific targeting recognition effect with Trop-2 overexpressed lung cancer cells such as non-small cell lung cancer cells H1650 and small cell lung cancer cells SBC-2, and can be used for molecular imaging of Trop-2 positive lung cancer patients. The molecular imaging probe can be used for noninvasive visual molecular imaging of lung cancer, and has the advantages of high specificity, high sensitivity, good imaging effect and the like. The preparation method of the molecular imaging probe is simple in reaction condition, low in cost and easy for clinical transformation.

The invention discloses a radionuclide-labeled polymer as well as a preparation method and application thereof. Specifically, the invention provides a radionuclide labeled polymer which has the following structure: G-L1-L2-P, wherein G is a radionuclide-containing group and comprises a chelating group and a radionuclide, the chelating group is chelated with the radionuclide, and L1 and L2 are independently chemical bonds or linking groups; p is a temperature-sensitive structural unit. The radionuclide-labeled polymer can be used as a tracer of hydrogel, can be combined with the hydrogel under the condition that the property of the hydrogel is not changed, has good compatibility and stability, and further can be used for tracing implanted hydrogel and continuously tracking the position and state of the implanted hydrogel in real time.

The present invention relates to the nanoparticles (NP) of the invention, compositions thereof and their use as therapeutic agents, in particular in the field of oncology and / or as imaging agents. The NPs consist of first nanoparticles of at least one high-Z metal oxide material, to which smaller second nanoparticles are covalently bonded at the surface of the first nanoparticles. The second nanoparticles consist of a) at least one noble metal or at least one metal oxide, metal sulfide, metal selenide or metal sulfide / selenide as a Fenton or Fenton-like reaction catalyst. The NPs of the invention produce a surprising therapeutic effect when exposed to ionizing radiation such as X-rays, gamma-rays, protons, neutrons, radioisotopes and / or electron beams. Therefore, these NPs can be used as radiosensitizers in the field of oncology. These nanoparticles can also be used as contrast agents.

The invention discloses a phosphatidylcholine gold nano CT (Computed Tomography) probe as well as a preparation method and application thereof, and belongs to the technical field of medical materials. The preparation method comprises the following steps: step S1, preparing a phosphatidylcholine ligand NH2-MPC; step S2, synthesis of a gold nanocluster GS-Au25 is carried out; and S3, the GS-Au25 is modified with a PC ligand, and the PC-Au25 is prepared. The ultra-small gold nano CT probe PC-Au25 with an Au25 gold nano cluster as a core and phosphatidylcholine PC as a surface ligand is obtained by optimizing and screening the core size and the surface ligand property of ultra-small gold nano particles. Wherein the 2-methacryloyloxyethyl phosphorylcholine is used as a PC ligand for the first time to modify the surfaces of the ultra-small gold nanoparticles, so that the surface modification of the ultra-small gold nanoparticles is realized, and the ultra-small gold nanoparticles can be efficiently and freely filtered through the kidney. The CT probe can be applied to the determination of the glomerular filtration rate through a CT imaging or blood test method.

The present invention provides preparations of MSCs with important therapeutic potential. The MSC cells are non-primary cells with an antigen profile comprising less than about 1.25% CD45+ cells (or less than about 0.75% CD45+), at least about 95% CD105+ cells, and at least about 95% CD166+ cells. Optionally, MSCs of the present preparations are isogenic and can be expanded ex vivo and cryopreserved and thawed, yet maintain a stable and uniform phenotype. Methods are taught here of expanding these MSCs to produce a clinical scale therapeutic preparations and medical uses thereof.

The invention discloses a radionuclide-labeled collagen hybrid peptide probe as well as a preparation method and application thereof. The chemical structural general formula of the radionuclide-labeled collagen hybrid peptide probe is (metal nuclide-chelating agent)-Linker-CHP, wherein the metal nuclide is selected from any one of Al18F, 64Cu, 67Cu, 67Ga, 68Ga, 99mTc, 89Zr, 111In, 177Lu, 186Re and 225Ac, and the metal nuclide is selected from any one of Al18F, 64Cu, 67Cu, 67Ga, 68Ga, 99mTc, 89Zr, 111In, the chelating agent is selected from any one of NODAGA, NOTA2 and DOTA; linker is a connecting joint, and CHP is a collagen hybrid peptide with a polypeptide sequence of (GfO) n or (GPO) n. The probe not only has the characteristic of radiochemical marking stability, but also has the excellent biological distribution characteristics of high uptake in target organs such as tumors and low uptake in non-target organs such as liver and kidney, and has a good clinical application prospect.

A compound according to formula (I), wherein A is -As(OH) or an arsenoxide equivalent group; each of R, R, R, and R is independently selected from H, X, OH, NH, CO, SCN, -CHNH, -NHCOCH, -NHCOCHX, or NO; X is a halogen; R is -NHCHCOOH, OH, or OR; and R is C. 1-5 The present invention relates to compounds, or pharmaceutically acceptable salts, esters, prodrugs, or solvates thereof, uses of said compounds, and methods of preparing said compounds, and further relates to diagnostic methods utilizing said compounds.

Antibodies and antigen-binding fragments thereof that bind to human mesothelin have been described.