Publications by authors named "Noriyasu Sekiya"
The purpose of this study was to predict the survival time of patients with malignant glioma after radiotherapy with high accuracy by considering additional clinical factors and optimize the prescription dose and treatment duration for individual patient by using a machine learning model. A total of 35 patients with malignant glioma were included in this study. The candidate features included 12 clinical features and 192 dose-volume histogram (DVH) features.
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- The study aimed to assess how effective MRI is in identifying remaining tumors after Gamma Knife radiosurgery for brain metastases, using data from autopsy cases.
- Researchers tested two hypotheses: whether a single MRI could detect tumors and if multiple MRIs would improve detection accuracy.
- Results indicated that a single MRI couldn't clearly differentiate between treatment success and failure, while a series of MRIs provided better insights into treatment responses over time.
This study aimed to investigate views on life and death among physicians, nurses, cancer patients, and the general population in Japan and examine factors affecting these views. We targeted 3,140 physicians, 470 nurses, 450 cancer patients, and 3,000 individuals from the general population. We used the Death Attitudes Inventory (DAI) to measure attitudes toward life and death.
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