July 15, 2025
At the 39th Kumamoto Conference of the Kyushu Regional Chapter of the Japanese Society of Nuclear Medicine Technology, held at the Kumamoto International Community House (Kumamoto City, Kumamoto Prefecture) on Saturday, July 5th and Sunday, July 6th, 2025, Teikyo University students Takagi Mimura (4th year, Faculty of Fukuoka Medical Technology) and Naka Keiryu (4th year Faculty of Fukuoka Medical Technology) received the Student Encouragement Award.
Takagi is conducting his research under the guidance of Takagi Akihiro, Associate Professor Department of Radiological Technology at the same faculty, and presented his research at the conference titled "Study on estimating late HM ratio using dynamic collection data in 123I-MIBG myocardial scintigraphy."
This research expands on the results of student research conducted the previous year, with the aim of reducing the burden on patients by simplifying 123I-MIBG myocardial scintigraphy. This test, which targets patients with dementia, typically requires two imaging sessions after drug administration. However, in this study, a method was developed and verified to predict the evaluation value equivalent to the second test using image data collected 60 minutes after administration. Analysis of the temporal changes in radioactivity in the target area revealed a high correlation between predicted and measured values in cases with high initial evaluation values, suggesting the possibility of reducing the number of imaging sessions to one under certain conditions.
This research has expanded on the findings of previous student research in a way that provides clinical support, and has attracted attention as a method that can both improve testing efficiency and reduce the burden on patients, leading to this award.
Naka is conducting research under the guidance of Assistant Professor Sekikawa Yuya of the same department, and presented his research at the conference titled "Study on the effect of defect size on image features in myocardial perfusion SPECT."
This study aimed to identify image features that can stably detect ischemia in the diagnosis of myocardial ischemia, regardless of conditions such as the type of SPECT device or the size of the defect. Two types of SPECT devices, one conventional and one semiconductor, were used for imaging, and image features were extracted and analyzed from data on multiple defect sizes set in a simulated phantom. The results revealed features that exhibit high detectability regardless of the type of device or imaging conditions, and showed that they may be particularly effective in detecting minute ischemia and early-stage lesions. Furthermore, the features identified were found to be highly stable, making them important findings that will contribute to the objectivity and standardization of diagnosis.
This research was highly praised as a practical achievement that is expected to improve diagnostic accuracy in myocardial SPECT and lead to future applications of AI, leading to the award.
It is expected that the results of their research will make a significant contribution to the future development of the field of nuclear medicine.
For more information about Faculty of Fukuoka Medical Technology, click here.
For more information about the 39th Kyushu Regional Conference of the Japanese Society of Nuclear Medicine Technology, click here.
