2019 Fiscal Year Final Research Report
Usefulness of NODDI for brain tumors
Project/Area Number |
17K16461
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Radiation science
|
Research Institution | University of Miyazaki |
Principal Investigator |
|
Project Period (FY) |
2017-04-01 – 2020-03-31
|
Keywords | NODDI / 拡散強調像 / 膠芽腫 / 転移性脳腫瘍 |
Outline of Final Research Achievements |
Neurite orientation dispersion and density imaging (NODDI) is a new diffusion-weighted imaging (DWI) technique that applies a three-diffusion-compartment biophysical model. It is expected to provides the neuronal microstructure changes that are more specific than those provided by conventional DWI technique. Glioblastomas and brain metastases are the two most common brain tumors. These two tumors are sometimes difficult to differentiate due to similar image findings. Conventional DWI techniques have been used to differentiate between these two tumors, however, there are conflicting results. There are no reports on the usefulness of NODDI for the differentiation between glioblastoma and solitary brain metastasis. Therefore, we assessed the usefulness of NODDI for the differentiation between these tumors. As a result, NODDI compartment maps, especially VEC maps, in the peritumoral signal-change area were useful for differentiating glioblastoma from solitary brain metastasis.
|
Free Research Field |
画像診断
|
Academic Significance and Societal Importance of the Research Achievements |
膠芽腫と転移性脳腫瘍は治療戦略が異なるため術前での鑑別を要するが、通常のMRI検査のみでは時に類似した画像所見を呈し、診断に苦慮することがある。今回の我々の検討で、腫瘍周囲の信号変化領域の NODDI から得られる VEC マップは両腫瘍の鑑別に有用であった。今後、NODDI が膠芽腫と転移性脳腫瘍間の鑑別の一助となる可能性がある。
|