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Program Information

SBRT Workflow Overview

F Yin
no image available
Y Yang

J Roper

F Yin1*, Y Yang2*, J Roper3*, (1) Duke University Medical Center, Durham, NC, (2) Stanford University Cancer Center, Stanford, CA, (3) Emory University School of Medicine, Atlanta, GA


1:45 PM : Fundamental Aspects of SBRT - F Yin, Presenting Author
2:00 PM : SBRT Treatment Planning and Delivery - Y Yang, Presenting Author
2:20 PM : Quality Assurance of SBRT - J Roper, Presenting Author

MO-D-BRB-0 (Monday, August 1, 2016) 1:45 PM - 2:45 PM Room: Ballroom B

Increased use of SBRT and hypofractionation 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 current 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/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 and multi-modality imaging for reliable guidance of SBRT.
3. Discuss treatment planning and QA issues specific to SBRT.
4. 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.

Funding Support, Disclosures, and Conflict of Interest: NIH/NCI Varian Medical Systems; F. Yin, Duke University has a research agreement with Varian Medical Systems. In addition to research grant, I had a technology license agreement with Varian Medical Systems


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