2023 Fiscal Year Research-status Report
Development of a real-time markerless tracking system for pancreatic cancer in carbon ion radiation therapy using deep learning
| Project/Area Number |
22K15818
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| Research Institution | Gunma University |
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Principal Investigator |
Varnava Maria 群馬大学, 重粒子線医学推進機構, 助教 (40913108)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Keywords | tumor tracking / pancreatic cancer / deep learning / surface image guided / carbon ion radiotherapy |
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| Outline of Annual Research Achievements |
Pancreatic cancer is one of the most lethal cancers. One in three deaths in pancreatic cancer patients is related to tumor progression. Therefore, treatment methods that improve local tumor control may lead to better overall survival. The purpose for this year was to focus on completing a prediction model for the location of the target based on the surface of the patient, which is the basis for the research. The following steps were taken:
・Use combinations of recurrent and convolutional neural networks to create prediction models for the location of the tumor.
・Data collection/preprocessing/mining to match the nature of the network tested each time accordingly when necessary.
・Check network performance.
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| Current Status of Research Progress |
Current Status of Research Progress
4: Progress in research has been delayed.
Reason
The progress was already slightly delayed from last year.
Also delayed in obtaining satisfactory performance from the model. Different approaches were explored that required the collection and preparation of more data, which took time.
The model is still under development, because of long calculation times and difficulties in solving technical difficulties during implementation.
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| Strategy for Future Research Activity |
Complete the prediction model and continue as initially planned.
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| Causes of Carryover |
One of the largest purchases planned for this year was a phantom. However, because of the slow progress of the research, it was not possible to purchase the phantom this year. Therefore, funds remained, which will be used to purchase a phantom during the next fiscal year and make other necessary purchases for the completion of the model.
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