Release date: 2018-05-24

The liver has four complex interweaving vascular systems that are difficult to visualize through CT scans or MRI images, so surgical removal of liver tumors is often a daunting task. Recently, the Fraunhofer Institute for Image-Assisted Medicine (MEVIS) in Germany has developed an algorithm for analyzing patient image data and calculating surgical risk, making liver cancer surgery easier and safer.

The software developed by the Institute to analyze patient radiology images can generate detailed three-dimensional models of the liver and its vascular system, calculate the supply and disposal areas of blood vessels, and help determine the risk of tumor removal. The surgeon can study the best incision on the screen and use this information for preoperative preparation to determine the critical part of the procedure by analyzing the vascular anatomy near the tumor.

The project leader Dr. Andreas Schenk said the software can also provide doctors with surgical advice. Studies have shown that using this software analysis, liver surgery will be more effective and safe, and can reduce the risk of blood loss and postoperative organ failure during surgery, and even make some operations that were considered impossible in the past. Doctors can also predict liver function after donor and recipient surgery and improve the success rate of liver transplant surgery.

The research team also worked with doctors at the University of Yokohama in Japan to develop an iPad app. The surgeon can pack it in a sterile film and bring it to the operating room to view all planning data during the procedure. The app also combines surgical protocol data with augmented reality. Doctors simply turn the camera on the iPad and direct it to the patient's liver, superimposing the patient's liver three-dimensional image previously generated using the algorithm on the camera image. Shows the location of blood vessels and tumors under the surface of the liver.

This method, known as MEVIS analysis, has now been promoted in practice. Team leader Schenck was awarded the 2018 Joseph von Fraunhofer Prize along with his colleagues Zidditz and Cohen.

Source: Technology Daily

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