Authors: Amir Abdollahi, Celine Karle, Michele M. Kim, Constantinos Koumenis, Andrea Mairani, Erato Stylianou Markidou
Affiliation: Heidelberg Ion-Beam Therapy Center - Department of Radiation Oncology, German Cancer Research Centre(DKFZ), University of Pennsylvania, Physics Dep. University of Cyprus
Abstract Preview: Purpose: The aim is to compare FLASH dose-rate RT generated with protons and carbon (HIT) and compare to protons (UPenn) to provide evidence for equipotency of FLASH vs. standard RT to tumor growth co...
Authors: Nebi Demez, Noufal Manthala Padannayil, Shyam Pokharel, Suresh Rana, Umesh Rana, Nishan Shrestha, Somol Sunny
Affiliation: Florida Atlantic University, Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida
Abstract Preview: Purpose: DynamicARC is an advanced proton therapy technique that leverages pencil beam scanning to deliver dose to the patient while the gantry rotates around the patient. This study investigates the ...
Authors: Somayeh Gholami, Saeedeh Ketabi, Jeremy Kunz, Ali Yousefi
Affiliation: Department of Radiation Oncology, University of Utah, University of Utah, Department of Management- Operations Research, University of Isfahan
Abstract Preview: Purpose: This paper aims to present a novel approach for automatic knowledge-based planning optimization for Intensity Modulated Radiotherapy, along with the two downsizing techniques for improving th...
Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang
Affiliation: Duke University Medical Center
Abstract Preview: Purpose:
Treatment planning for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) relies on inverse planning, an iterative and non-intuitive process of adjust...
Authors: Peng Dong, Elizabeth Kidd, Sheng Liu, Thomas R. Niedermayr, Oscar Pastor-Serrano, Lei Xing, Yong Yang, James Zou
Affiliation: Department of Biomedical Data Science, Stanford University, Department of Radiation Oncology, Stanford University, Stanford University
Abstract Preview: Purpose: Radiotherapy treatment planning is a time-consuming and potentially subjective process that requires iterative adjustments of optimization parameters to balance conflicting objectives. In thi...
Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Zi Yang, Kangning Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine
Abstract Preview: Purpose: Dose prediction (DP) is essential in guiding radiotherapy planning. However, current DP models for intensity-modulated radiation therapy (IMRT) primarily rely on fixed-beam orientations and a...