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Researchers Find RapidPlan Software Can Improve the Efficiency and Quality of Treatment Planning for Radiotherapy Radiosurgery Aug 6 2015 Skip to main content About VarianOncologyX Ray Imaging Components Search form X Contact MyVarian Overview Varian Technologies Leadership and Governance Overview Executives Board of Directors Leadership and Governance At Varian we believe leadership and ethics start at the top and our commitment to corporate governance and accountability to stockholders is embodied in all our corporate governance policies Executives nbsp Board of Directors nbsp Citizenship Sustainability Mission and Values Employees and Business Partners Environment Giving Apply for a Grant Sustainability At Varian we grow our business while acting with integrity We strive to meet high standards of ethics quality and safety Mission and Values Varian s mission is to focus energy on saving lives Our values reflect a focus on customers partnerships innovation and integrity Employees and 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images Contacts Home gt Newsroom gt Press Releases gt SHARE LinkedIn Twitter Facebook Google Newsroom Home About Varian Media Resources Press Releases International Newsrooms Image Gallery Subscribe Events Search Press Releases Press Releases Researchers Find RapidPlan Software Can Improve the Efficiency and Quality of Treatment Planning for Radiotherapy Radiosurgery Aug 6 2015 PALO ALTO Calif Aug 6 2015 PRNewswire nbsp Treatment planning for radiotherapy and radiosurgery can be significantly expedited and improved using new software for storing and accessing clinical knowledge based on best planning practices This was the finding of several research teams that compared conventional plans with plans generated using knowledge based treatment planning software like the RapidPlan trade tool from Varian Medical Systems NYSE VAR The researchers from diverse institutions recently presented their findings during the 2015 American Association of Physicists in Medicine AAPM annual meeting Plan generation that typically took 30 to 180 minutes was completed in just 15 to 20 minutes using a model based on 48 spine tumor cases created by Joe Foy MSE and colleagues from the University of Michigan quot RapidPlan knowledge based planning greatly decreased the amount of time required to achieve high quality treatment plans with minimal human intervention and could feasibly be used to standardize plan quality between institutions quot the researchers found 1 RapidPlan enables clinicians to extract information from past clinical experience and use it to generate mathematical models that expedite the creation of new treatment plans The software helps the planner quickly generate a new treatment plan that achieves the radiation oncologist 39 s tumor coverage and normal tissue sparing goals greatly reducing the need for time consuming manual trial and error processes Knowledge based treatment planning is becoming a routine practice for quality control according to researchers from the University of Texas MD Anderson Cancer Center in Houston and Duke University Medical Center in Durham NC 2 Munther Ajlouni MD Karen Snyder MS and their colleagues at the Henry Ford Health System in Detroit MI developed a RapidPlan model based on 105 manually created SBRT lung cancer treatment plans They found that RapidPlan generated treatment plans with comparable quality to manually created plans but with increased consistency and greater efficiency 3 Jason Pawlowski PhD medical physicist at Sarah Cannon presented work from Sarah Cannon radiation oncology site colleagues across the nation aimed to develop and validate a knowledge based planning model for treating locally advanced non small cell lung cancer nbsp The Sarah Cannon radiation oncology team found nbsp that the nbsp RapidPlan model more quickly achieved treatment plans that were equivalent or superior to previously created manually optimized plans of the same patients 4 Changsheng Ma MD and Yong Yi MD from the Shandong Tumor Hospital in Jinan Shangdong Province China used RapidPlan and data from 20 patient cases to develop a RapidPlan model for treating cervical cancer with IMRT This approach quot can generate clinically acceptable treatment plans of high quality while improving the efficiency of the treatment planning process quot nbsp they reported 5 Funding Support Disclosures and Conflict of Interest The Zhang Foy and Snyder presentations were based on work supported by Varian Medical Systems About Varian Medical Systems Varian Medical Systems Inc of Palo Alto California focuses energy on saving lives by equipping the world with advanced technology for fighting cancer and for X ray imaging The company is the world 39 s leading manufacturer of medical devices and software for treating cancer and other medical conditions with radiation The company provides comprehensive solutions for radiotherapy radiosurgery proton therapy and brachytherapy The company supplies informatics software for managing comprehensive cancer clinics radiotherapy centers and medical oncology practices Varian is also a premier supplier of X ray imaging components including tubes digital detectors and image processing software and workstations for use in medical scientific and industrial settings as well as for security and non destructive testing Varian Medical Systems employs approximately 6 800 people who are located at manufacturing sites in North America Europe and China and approximately 70 sales and support offices around the world For more information visit www varian com or follow us on Twitter 1 nbsp Foy J et al An analysis of knowledge based planning for stereotactic body radiation therapy of the spine abstract Poster presentation at American Association of Physicists in Medicine AAMP 57th Annual Meeting amp Exhibition July 12 16 2015 Anaheim CA 2 nbsp Zhang X Wu Q Knowledge based treatment planning automation abstract Presented at American Association of Physicists in Medicine AAMP 57th Annual Meeting amp Exhibition July 12 16 2015 Anaheim CA 3 nbsp Snyder K et al Development and evaluation of a knowledge based model for treatment planning of lung cancer patients using stereotactic body radiotherapy SBRT nbsp abstract Presented at American Association of Physicists in Medicine AAMP 57th Annual Meeting amp Exhibition July 12 16 2015 Anaheim CA 4 nbsp Liu Z et al Development and validation of a knowledge based planning model for external beam radiation therapy of locally advanced non small cell lung cancer nbsp abstract Poster presentation at American Association of Physicists in Medicine AAMP 57th Annual Meeting amp Exhibition July 12 16 2015 Anaheim CA 5 nbsp Ma C Yin Y The feasibility of using a knowledge base of prior treatment plans in cervical cancer a dosimetric comparision with original plans nbsp abstract Poster presentation at American Association of Physicists in Medicine AAMP 57th Annual Meeting amp Exhibition July 12 16 2015 Anaheim CA FOR INFORMATION CONTACT 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