Tohoku Univ. Technology : Cancer prognosis prediction method : T20-2962
Development of prognostic prediction method with the novel radiomic feature based on graph theory
In recent years, the research field to decode the biological characteristics of lesion (radiomics) by analyzing in global a large number of images extracted from medical image database has attracted attention. One potential application of radiomics is to predict the patient prognosis with tumor disease. However, it is difficult to represent phenotypic information of tumor and local information inside tumor with accuracy, so further progress of this research is required. In this invention, inventors have developed a new radiomic feature based on graph theory. Medical image processed by graph theory feature, and tumor image with relatively good prognosis have a smaller line density than those with poor prognosis. Moreover, the rad score calculated by graph theory feature can clearly indicate the tumor status change compared to the value calculated by conventional feature. Therefore, this invention is able to predict the cancer treatment prognosis with higher accuracy than conventional method.
Inquire About This Product
basic information
For details, please contact us or refer to the PDF.
Price range
Delivery Time
Applications/Examples of results
For details, please contact us or refer to the PDF.
catalog（1）
Download All Catalogs
Company information
The revenue generated from technology transfer is reinvested into universities and researchers as new research funding, which is used to create further research outcomes. To ensure the smooth operation of this cycle, known as the "Intellectual Creation Cycle," we will actively promote technology transfer. The types of seeds we handle include patents, know-how, databases, and programs. We have established a collaborative framework by concluding basic technology transfer agreements with the following universities (as of April 1, 2026): - Tohoku University - Hirosaki University - Iwate University - Akita University - Fukushima University - Yamagata University - Tohoku Gakuin University - Iwate Medical University - Fukushima Medical University - Aizu University - Miyagi University - Hokkaido University - Muroran Institute of Technology - Showa Medical University - Asahikawa Medical University
![[Application Example] BGA Void Analysis Technology "BGA Pro"](https://image.mono.ipros.com/public/product/image/d31/2000402209/IPROS1478640326119757524.jpg?w=280&h=280)
