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2019 Publication Award Nominations | del Regato Archives | New Research Podcast (Spring 2019 Vol. 9 No. 1)

Join the Competition for the 2019 ROI Publication Award
Submit your nomination for the honor by July 3, 2019. 
Letter from the President
ROI President Deborah A. Kuban, MD, FASTRO, offers a toast to you, our supporters. 
Bringing New Life to the History of Radiation Oncology
Juan A. del Regato's historical works are archived on the ROI's website. 
Giving In Recognition of Another
A gift to the ROI in honor or memory of an influential person in your life can have a meaningful and lasting impact. 
New Podcast Features ROI Researcher Todd McNutt, PhD
Advances in Radiation Oncology is showcasing Dr. McNutt's recent manuscript, "Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer" in their latest podcast. 
William Mendenhall, MD, FASTRO and Nancy Mendenhall, MD, FASTRO
Drs. Nancy and Bill Mendenhall are members of the ROI Founders' Circle to give back to radiation oncology so that the specialty can survive and thrive through vibrant research conducted by the next generation.
Making Giving Easy with Monthly Option
Help sustain radiation oncology research with a monthly gift to the ROI. 
Got 60 Minutes? Plan Your Estate
Creating an estate plan may be easier and less time-consuming than you think.
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New Podcast Features ROI Researcher Todd McNutt, PhD

With support from the ROI, Todd McNutt, PhD, and his team are building machine learning models that make personalized, evidence-based predictions of treatment toxicities related to weight loss in head and neck cancer patients. They are using data collected in the Oncospace system, a database and website that assembles patient data from the radiation oncology treatment planning system and clinical records. A focus of Dr. McNutt's ROI-funded research is to better understand how the spatial distribution of the radiation dose influences toxicities.

Advances in Radiation Oncology recently published results of the team's work and is highlighting the potentially practice-changing research in their new podcast. Hear Dr. McNutt discuss their voxel-based dose analysis in  "Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer" with commentary from Advances associate senior editor, Matthew Studenski, PhD.