Hannah Bainbridge, Clinical Fellow Lung Team, The Institute of Cancer Research, Sutton, United Kingdom, The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom. Read More Online adaptive replanning is feasible for prostate cancer radiation therapy. Abstract #3639: A Hybrid Adaptive Replanning Approach for Prostate SBRT;( http://www.redjournal.org/article/S0360-3016(16)32627-X/fulltext ) Ozgur Ates, PhD, Postdoctoral Fellow in the Department of Radiation Oncology at Medical College of Wisconsin. An automated QA tool can quickly identify contour errors from auto-segmentation and may have utility in online adaptive replanning. Abstract #3638 Implementation of a Machine-learning Based Automatic Contour QA Tool for Online Adaptive Radiotherapy of Prostate Cancer( http://www.redjournal.org/article/S0360-3016(16)32626-8/fulltext ); Jing Qiao Zhang, PhD, Postdoctoral Fellow in the Department of Radiation Oncology at Medical College of Wisconsin. Several additional presentations described the potential for MR-linac and adaptive therapy to enable dose painting the precise delivery of varying doses of radiation to specific regions within a tumor in order to account for differences in cell type, location and density from one part of the tumor to another. The data presented at this conference support the potential of MR-linac as a key development in the future of radiation therapy and we are encouraged by the Consortiums progress, said Kevin Brown, Elektas Global Vice President of Scientific Research. The use of integrated, MR imaging to improve radiation therapy is a topic of widespread interest within the community, and Elektas MR-linac is poised to deliver an advanced and intuitive treatment experience with the potential to significantly improve patient outcomes and our clinical customer experience. Elektas MR-linac is a work in progress check my source and not available for sale or distribution. # # # The above information is such that Elekta AB (publ) shall make public in accordance with the Securities Market Act and/or the Financial Instruments Trading Act. The information was published at 10:00 CET on September 29, 2016.
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Beginning at 12:01 a.m. local time on November 1, 2016 all eligible entries will be featured in a Facebook photo/video album for users to vote for their favorite photo or video. The voting period will end at 11:59 p.m. local time on November 26, 2016. Only individuals who are 13 years or older may vote. The entry with the most eligible votes, signified by likes and other positive expression emojis, will be declared the winner of the contest. Odds of winning depend on the number of eligible votes received. In the event of a tie, the winner will be randomly selected by Sponsor from the tie entries. 5. Prize. The winners high school will receive $1,000.00, plus special recognition by the Sponsor at the 2017 year-end High School Sports Awards ceremony to be held in spring 2017.
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