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Program Information

Imaging, Treatment Planning, and QA for Stereotactic Body Radiation Therapy (SBRT)

B Salter
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Y Yang

S Benedict

B Salter1*, Y Yang2*, S Benedict3*, (1) University of Utah Huntsman Cancer Institute, Salt Lake City, UT, (2) (3) UC Davis Cancer Center, Sacramento, CA


TU-A-304-0 (Tuesday, July 14, 2015) 7:30 AM - 8:30 AM Room: 304

Increased use of SBRT and hypo fractionation in radiation oncology practice has posted a number of challenges to medical physicist, ranging from planning, image-guided patient setup and on-treatment monitoring, to quality assurance (QA) and dose delivery. This symposium is designed to provide updated knowledge necessary for the safe and efficient implementation of SBRT in various linac platforms, including the emerging digital linacs equipped with high dose rate FFF beams. Issues related to 4D CT, PET and MRI simulations, 3D/4D CBCT guided patient setup, real-time image guidance during SBRT dose delivery using gated/un-gated VMAT or IMRT, and technical advancements in QA of SBRT (in particular, strategies dealing with high dose rate FFF beams) will be addressed. The symposium will help the attendees to gain a comprehensive understanding of the SBRT workflow and facilitate their clinical implementation of the state-of-art imaging and planning techniques.

Learning Objectives:
1. Present background knowledge of SBRT, describe essential requirements for safe implementation of SBRT, and discuss issues specific to SBRT treatment planning and QA.
2. Update on the use of multi-dimensional (3D and 4D) and multi-modality (CT, beam-level X-ray imaging, pre- and on-treatment 3D/4D MRI, PET, robotic ultrasound, etc.) for reliable guidance of SBRT.
3. Provide a comprehensive overview of emerging digital linacs and summarize the key geometric and dosimetric features of the new generation of linacs for substantially improved SBRT.
4. Discuss treatment planning and quality assurance issues specific to SBRT.

Funding Support, Disclosures, and Conflict of Interest: Research grant from Varian Medical Systems

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