Promising Technologies

Method for providing information of intestinal obstruction

  • Inventor
    Jae-Joon Park, Jae-Hee Cheon
  • Category
    intestinal obstruction
  • Keywords
    intestinal obstruction, Carcinomatosis
  • Current development stage
  • Patent Status
    KR patent application
    KR/10-2018-0102251
  • Brief Description
    This study was conducted on the methodologies used to determine the presence and severity of peritoneal carcinomatosis in organisms using diagnostic medical imaging as well as on the success rate of stent insertion procedures in response to the presence or severity of peritoneal carcinomatosis. This study not only provided methodologies not only for generating information about stent insertion procedures, but also suggestions for devices based on such information. These methodologies are divided into the following steps: receive diagnostic medical images, observe the presence or severity of peritoneal carcinomatosis based on the images, and determine the success rate of stent insertion procedures based on observations of the presence or severity of peritoneal carcinomatosis.

    The shape and location of peritoneal carcinomatosis vary depending on the type of cancer that caused it, which means that levels of intestinal obstruction, severity of peritoneal carcinomatosis, and the prognosis for the success of stent insertion procedures differ accordingly. As such, the presence or severity of peritoneal carcinomatosis can similarly impact the expected success rate of stent insertion procedures. Furthermore, severe cases of carcinomatosis often spread to and become fixed in the intestines, significantly impairing their functionality. As a result, severe cases of carcinomatosis lead to more technical complications in conducting stent insertion procedures, limit the improvement of symptoms, than in mild or moderate cases, ultimately hindering the success of such procedures. The technology examined in this study aimed to address the limitations of existing procedures by determining the presence and severity of peritoneal carcinomatosis and using this information to predict the success rate of stent insertion procedures with the goal of increasing the success rate of such procedures.
  • Representative figure
  • Video

LIST