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Published on: February 3, 2008
A Study of Feasibility for Reusing Thermoplastic Masks - Toward a Green Environment
Roopam Srivastava1, Santosh Sharma1, Laxmikant Sharma1
1Department of Radiation Oncology, International Oncology Cancer Institute, Fortis Hospital, Noida, Uttar Pradesh, India.
Reusing thermoplastic masks in radiation oncology is feasible, showing acceptable dimensional changes and structural integrity. This practice can significantly reduce costs and waste, supporting sustainable healthcare.
Area of Science:
- Radiation Oncology
- Medical Device Engineering
- Sustainable Healthcare Practices
Background:
- Thermoplastic masks are crucial for patient immobilization in radiation therapy.
- Current practices involve single-use masks, contributing to environmental waste and increased healthcare costs.
Purpose of the Study:
- To evaluate the feasibility of reusing thermoplastic masks in radiation oncology.
- To assess the dimensional stability and structural integrity of masks after molding and re-flattening.
- To determine the potential for cost reduction and waste minimization through mask reuse.
Main Methods:
- The study involved 70 thermoplastic masks of three types: 3-clamp brain, 5-clamp head-and-neck, and 4-clamp chest/abdomen/pelvis.
- Mask dimensions were measured in superior-inferior (SI) and lateral directions before molding, after molding, and after re-flattening post-treatment.
Main Results:
- Brain masks showed significant expansion post-molding and contraction after re-flattening, with acceptable dimensional changes.
- Head-and-neck masks exhibited moderate expansion and enlargement after re-flattening.
- Chest/abdomen/pelvis masks showed minimal dimensional changes post-molding.
Conclusions:
- Thermoplastic masks can be reused with acceptable dimensional changes and maintained structural integrity.
- Single reuse of thermoplastic masks offers a viable option for reducing costs and environmental waste in radiation oncology.
- This practice supports the development of sustainable healthcare solutions, especially in resource-limited settings.
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