3 results about "Parent vessel" patented technology

Method of endovascular treatment of an aneurysm having a sac with a neck in fluid communication with a parent vessel. A delivery catheter is navigated through the vasculature to the aneurysm. Next, a delivery system is advanced through the delivery catheter to the aneurysm. A liquid metal embolic is injected via the delivery system into the aneurysm with the injected liquid metal embolic at least partially filling the aneurysm. Optionally, a liquid metal embolic seepage preventative element (e.g., radially self-expanding braided structure or plurality of radially self-expanding coils) may be deployed in the aneurysm prior to the injection of the liquid metal embolic prohibiting the liquid metal embolic injected in the aneurysm from entering the parent vessel.

A self-expandable occluding device can both cover the neck of an outpouching and serve as a permanent embolic plug thereby immediately stabilizing the outpouching. The self-expandable device effectively covers the neck of an outpouching with, for example, a mesh, or other at least partially occluding component, in a desired orientation across the neck of the outpouching without projecting into the parent vessel. The device incorporates elements which immediately stabilize the device in the outpouching, in effect, functioning as a permanent embolic plug. An embolic disc is combined with retention arms of flexible material, which deploy within the outpouching and provide immediate stabilization thereby retaining the occluding component or mesh across the neck of the outpouching. In illustrative embodiments, the arms are in the form of coils configured to deploy into three dimensional structures.

The application discloses a method for selecting an intratumoral turbulence device and a product thereof. The method comprises: obtaining medical image data of a target object, wherein the target object at least comprises an aneurysm and a parent vessel; segmenting and three-dimensionally reconstructing the medical image data to obtain a segmentation model of the target object; and inputting the segmentation model into a selection model based on deep learning to perform model recommendation; wherein the selection model comprises: a geometric feature extraction module configured to extract geometric features of the target object from the segmentation model, the geometric features being explicit measurable parameter features; and a classifier configured to output a prediction result of each candidate model of the intratumoral turbulence device based on at least the geometric features. According to the method, end-to-end automatic prediction from image data to model recommendation is realized.