Authors: Hao Peng, Yajun Yu
Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a novel ablative radiation dosing scheme developed by our institution. This study aims to establish a regression...
Authors: Jiayi Chen, Manju Liu, Ning Wen, Haoran Zhang, Yibin Zhang
Affiliation: Department of Radiation Oncology, Ruijin Hospital, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Duke Kunshan University, Department of Radiation Oncology,Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Abstract Preview: Purpose: This study introduces a novel Dual Energy CT (DECT)-Guided Intelligent Radiation Therapy (DEIT) platform designed to streamline and optimize the radiotherapy process. The DEIT system combines...
Authors: Hao Peng, Yajun Yu
Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a new treatment paradigm pioneered by our institution. But the early decision-making process in PULSAR is challe...
Authors: Olubunmi Odunola Aregbe, Clara Ferreira, Margaret Reynolds, David A. Sterling, Jianling Yuan
Affiliation: University of Minnesota, University of Minnesota Physicians, Department of Radiation Oncology, University of Minnesota, Minneapolis
Abstract Preview: Purpose: To analyze volume changes in the high-risk clinical target volume (HR-CTV) during high-dose rate (HDR) brachytherapy for cervical cancer patients. The study aims to evaluate the trend and cor...
Authors: Michael Dohopolski, Jiaqi Liu, Hao Peng, Robert Timmerman, Zabi Wardak, Haozhao Zhang
Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
This study introduces a gradient-based radiomics framework to enhance outcome prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR) for brain metastases...
Authors: Spencer Behr, Joseph Grudzinski, Youngho Seo, Jaehoon Shin, Yiran Wang, Frederick J. Wilson
Affiliation: University of California San Francisco, University of California, San Francisco, Voximetry, Inc., Voximetry, Inc
Abstract Preview: Purpose: Voxel-level imaging-based dosimetry enables a significant improvement in accurate and personalized treatment planning in radiopharmaceutical therapy, potentially leading to optimized disease ...
Authors: James Chun Lam Chow, Kay Li
Affiliation: University of Toronto, Princess Margaret Cancer Centre
Abstract Preview: Purpose: This study aims to integrate Equity, Diversity, and Inclusion (EDI) principles into AI-driven educational tools for medical physics. The goal is to create a chatbot framework that fosters acc...
Authors: HanJoo Chae
Affiliation: Oncosoft Inc.
Abstract Preview: N/A...
Authors: Casey C. Heirman, Kyle J. Lafata, Xiang Li, Breylon Riley, Jack B Stevens, Tammara Watts
Affiliation: Duke University, Department of Radiation Oncology, Duke University
Abstract Preview: Purpose: To leverage quantitative fluorescence imaging and spatial transcriptomics for characterizing the spatial and molecular heterogeneity of the tumor microenvironment (TME) in HPV+ head and neck ...