7 results about "Hydrocephalus" patented technology

This invention belongs to the field of animal model technology, specifically disclosing a method for constructing a primary ciliary motor disorder hydrocephalus model, comprising the following steps: screening benzimidazole as a modeling agent; administering benzimidazole solution to experimental animals and setting up a blank control group; conducting experimental verification through pathological morphology and behavioral methods; if the experimental animals show significant ventricular enlargement and significant decrease in motor ability, the primary ciliary motor disorder hydrocephalus model is successfully constructed. This invention employs the above-mentioned novel method for constructing a primary ciliary motor disorder hydrocephalus model. The constructed hydrocephalus model exhibits good stability and repeatability, is objective and simple, and is highly operable, reducing other possible interfering factors. It provides a necessary experimental foundation for studying the mechanism of primary ciliary motor disorder hydrocephalus and developing treatment methods.

A system and method of accurately measuring a pressure (Pp) within a human brain using totally-implanted or partially-external hardware. The system includes a first pressure transducer configured to measure a cerebrospinal fluid pressure (Pcsf) within a ventricle of a brain, a second pressure transducer configured to indirectly measure a second pressure (Pp) within a space of the brain, and an adjustable implanted valve controller configured to calculate the effective differential pressure (Pei = Pcsf - Pp) between the measured pressures Pcsf and the Pp and determine whether the effective differential pressure measurement represents a true secondary pressure.

A method for assessing a patient's brain disease state from brain images includes acquiring the brain images, partitioning them into predefined regions based on anatomical landmarks, extracting disease-indicative features, using a pretrained model to generate a disease-associated biomarker from the features, and determining the patient's brain disease state based on the biomarker.

This invention discloses a method for constructing an early prediction model of hydrocephalus secondary to intraventricular tumors based on the dynamic changes of inflammatory factors after surgery, belonging to the field of medical data processing and model construction. The method includes: acquiring the concentration values ​​of inflammatory factors and the hydrocephalus outcome of biological samples at multiple postoperative time points; calculating quantitative characteristic parameters characterizing the dynamic evolution of the inflammatory response, such as the dynamic change rate, cumulative load, and acceleration, based on the concentration values; and training a deep learning model using the quantitative characteristic parameters and clinical baseline data as input features, with the hydrocephalus outcome as the label. This invention achieves early quantitative warning of hydrocephalus risk, significantly improving the accuracy, sensitivity, and specificity of prediction. It solves the technical problem of existing technologies relying on post-operative monitoring methods such as imaging and lacking early biochemical warning capabilities.

The present invention provides a novel method to isolate and expand pure neural stem cells (NSCs) from cerebrospinal fluid (CSF) of premature babies with Intraventricular haemorrhage, which produces a population enriched in NSC-CSF cells free of contaminating fibroblasts and other cell types. The present invention also includes substantially pure populations of CSF-NSC cells, and their use to treat and prevent diseases and injuries, including Intraventricular haemorrhage and post- hemorrhage hydrocephalus / developmental deficits.