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In Memoriam of Jan Van De Geijn: Knowledge-Based Planning

B Fraass

P Xia

Q Wu
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J Donaghue

B Fraass1*, P Xia2*, Q Wu3*, J Donaghue4*, (1) Cedars-Sinai Medical Center, Los Angeles, CA, (2) The Cleveland Clinic Foundation, Cleveland, OH, (3) Duke University Medical Center, Durham, NC, (4) Akron General Medical Center, Akron, OH


1:45 PM : Memorial Lecture - B Fraass, Presenting Author
1:55 PM : Auto-planning - P Xia, Presenting Author
2:10 PM : Knowledge-Based Planning - Q Wu, Presenting Author
2:25 PM : Multiple-criteria Optimization Planning - J Donaghue, Presenting Author

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

Treatment planning is a central part of radiation therapy, including delineation in tumor volumes and critical organs, setting treatment goals of prescription doses to the tumor targets and tolerance doses to the critical organs, and finally generation of treatment plans to meet the treatment goals. National groups like RTOG have led the effort to standardize treatment goals of the prescription doses to the tumor targets and tolerance doses to the critical organs based on accumulated knowledge from decades of abundant clinical trial experience. The challenge for each clinical department is how to achieve or surpass these set goals within the time constraints of clinical practice. Using fifteen testing cases from different treatment sites such as head and neck, prostate with and without pelvic lymph nodes, SBRT spine, we will present clinically utility of advanced planning tools, including knowledge based, automatic based, and multiple criteria based tools that are clinically implemented. The objectives of this session are:
1 Understand differences among these three advanced planning tools
2 Provide clinical assessments on the utility of the advanced planning tools
3 Discuss clinical challenges of treatment planning with large variations in tumor volumes and their relationships with adjacent critical organs.

Funding Support, Disclosures, and Conflict of Interest: Ping Xia received research grant from Philips. Jackie Wu received research grant from Varian; P. Xia, Research support by Philips and Varian; Q. Wu, NIH, Varian Medical


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