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Failure modes and effects analysis study for accelerator-based Boron Neutron Capture Therapy.
Mihiro Takemori1,2,3, Satoshi Nakamura1,3,4, Toshimitsu Sofue5
1Division of Radiation Safety and Quality Assurance, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
This study used failure mode and effects analysis (FMEA) to identify risks in accelerator-based Boron Neutron Capture Therapy (BNCT) systems. Findings highlight the importance of staff education and understanding BNCT-specific risks for safe implementation.
Area of Science:
- Oncology
- Medical Physics
- Radiation Therapy
Background:
- Boron Neutron Capture Therapy (BNCT) is increasingly used in clinical oncology with new accelerator-based systems.
- Detailed risk assessments for these advanced BNCT systems are currently lacking.
Purpose of the Study:
- To provide comprehensive risk data for institutions implementing accelerator-based BNCT.
- To identify and analyze potential failure modes (FMs) in BNCT procedures.
Main Methods:
- Failure Mode and Effects Analysis (FMEA) was applied to accelerator-based BNCT treatment processes.
- A multidisciplinary team scored occurrence, severity, and detectability of identified FMs.
- Risk Priority Numbers (RPNs) were calculated, categorizing FMs into high, very high, and other risk levels.
Main Results:
- 165 FMs were identified, with 30 classified as high risk and 17 as very high risk.
- 71 FMs were specific to accelerator-based BNCT, including 18 high-risk and 5 very high-risk.
- Staff education and confirmation countermeasures showed significantly higher severity.
- Patient-derived FMs tended to have higher occurrence, while FMs involving medical doctors and nurses showed higher occurrence due to patient interaction.
Conclusions:
- This is the first FMEA-based risk analysis for BNCT, offering crucial data for quality assurance.
- Understanding BNCT-specific risks and implementing adequate countermeasures are essential for safe and effective treatment.
- Multidisciplinary team discussions are vital for developing comprehensive strategies against identified failure modes.
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