![]() ![]() I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as. ![]() I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. The study used ONLY openly available human data that were originally located at: The details of the IRB/oversight body that provided approval or exemption for the research described are given below: I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Fuller has received unrelated direct industry grant/in-kind support, honoraria, and travel funding from Elekta AB, and has served as a consulting capacity for Varian/Siemens Healthineers, Philips Medical Systems, and Oncospace, Inc. Fuller receives grant and infrastructure support from MD Anderson Cancer Center via: the Charles and Daneen Stiefel Center for Head and Neck Cancer Oropharyngeal Cancer Research Program the Program in Image-guided Cancer Therapy and the NIH/NCI Cancer Center Support Grant (CCSG) Radiation Oncology and Cancer Imaging Program (P30CA016672). Fuller received/receives related support from the National Institute of Dental and Craniofacial Research (NIDCR) Establishing Outcome Measures for Clinical Studies of Oral and Craniofacial Diseases and Conditions award (R01DE025248). Schaefer and Fuller received/receive related funding and salary support from National Science Foundation (NSF)/National Institutes of Health (NIH) National Cancer Institute (NCI) via the NSF/NIH Smart and Connected Health Program (R01 CA257814). The authors have declared no competing interest. The results provide a visual risk-assessment tool (based on the whole DVH) and a spectrum of dose constraints for radiation planning. Conclusion This study presents an unsupervised-learning analysis of a large-scale data set to evaluate the risk of mandibular ORN among HNC patients. ![]()
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