Authors: Gabriel Lucas Andrade de Sousa, Einsley-Marie Janowski, Cam Nguyen, Krishni Wijesooriya
Affiliation: Department of Radiation Oncology, University of Virginia, Department of Physics, University of Virginia
Abstract Preview: Purpose: Optimizing radiation therapy (RT) to spare the immune system may improve Overall Survival (OS) in cancer patients. This study develops a computational algorithm to identify optimal dose-volum...
Authors: Zilei Fu, Yi Guo, Wanli Huo, Hongdong Liu, Laishui Lyu, Zhao Peng, Yaping Qi, Senting Wang
Affiliation: Department of Radiotherapy, cancer center, The First Affiliated Hospital of Fujian Medical University, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University, Division of lonizing Radiation Metrology, National Institute of Metrology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, China Jiliang University, Department of Oncology, Xiangya Hospital, Central South University
Abstract Preview: Purpose: Medical image boundaries are commonly characterized by smooth gray-level transitions, resulting in pixel-level segmentation errors near these blurred boundaries. To address this, we developed...
Authors: Lili Chen, Ahmed A. Eldib, Chang Ming Charlie Ma
Affiliation: Fox Chase Cancer Center
Abstract Preview: Purpose: Specialized adaptive radiotherapy (ART) systems have been developed and clinically implemented, which are either cost-ineffective such as MR-linacs or inflexible in workflow such as the Ethos...
Authors: Lavsen Dahal, Francesco Ria, Ehsan Samei, Justin B. Solomon, Liesbeth Vancoillie, Yakun Zhang
Affiliation: Duke University, Carilion Clinic, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Clinical diagnostic task-based optimization of CT procedures require precise and organ-specific assessments. This study investigates inter-organ noise variability to highlight the limitations...
Authors: Austin Castelo, Xinru Chen, Caroline Chung, Laurence Edward Court, Jaganathan A Parameshwaran, Zhan Xu, Jinzhong Yang, Yao Zhao
Affiliation: The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
Abstract Preview: Purpose:
To develop a deep learning-based segmentation model to automatically delineate tumors from full-body PET/CT images.
Methods:
PET/CT image pairs of 91 patients were collected for this...
Authors: Haijian Chen, Katja M. Langen, William Andrew LePain, Claire Tran, Mingyao Zhu
Affiliation: Emory Healthcare, Emory University, Georgia Institute of Technology
Abstract Preview: Purpose: To validate the performance of a commercial deep-learning segmentation (DLS) tool for head and neck cancer (HNC) and thoracic and abdominal cancer (TAC) by comparing it to manual segmentation...
Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Elsa Bifano Pimenta
Affiliation: University of São Paulo (USP), Institute of Physics
Abstract Preview: Purpose: This study evaluates the similarity between the linear attenuation coefficients of soft tissues and 3D printing materials in diagnostic imaging range using the Euclidean distance approach.
Authors: Morgan Aire, Krystal M. Kirby, Olivia Magneson, David E. Solis, Hamlet Spears
Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center
Abstract Preview: Purpose: This study evaluates the range of motion of abdominal organs using 4D stack-of-stars magnetic resonance (MR) imaging and 4D computed tomography (CT), the current clinical standard. Accurate o...
Authors: Klaus Bacher, Tom Boterberg, Jeff Rutten, Barbara Vanderstraeten, Gwenny Verfaillie, Sarah Waelkens
Affiliation: Ghent University, Ghent University Hospital
Abstract Preview: Purpose: Lymphoma cancer patients frequently receive ionizing radiation during their treatment trajectory, including diagnostic CT, planning CT (pCT), recurrent CBCTs, radiotherapy (out-of-field) dose...
Authors: Zhuo Chen, Tinsu Pan, Allan Thomas
Affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine, WashU Medicine, UT MD Anderson Cancer Center
Abstract Preview: Purpose: Misregistration between data-driven gated (DDG)-PET and CT can limit the benefits of motion correction and improved localization and quantitation. DDG-CT offers a solution to these issues. He...
Authors: Zixu Guan, Takahiro Iwai, Takashi Mizowaki, Mitsuhiro Nakamura, Michio Yoshimura
Affiliation: Kyoto University, Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University
Abstract Preview: Purpose:
The goal of this study is to develop a fully automated treatment planning approach for VMAT in pancreatic cancer that can convert patient anatomy into LINAC machine parameters. In this wor...
Authors: Gregory T. Armstrong, James E. Bates, Lei Dong, Ralph Ermoian, Jie Fu, Christine Hill-Kayser, Rebecca M. Howell, Sharareh Koufigar, John T. Lucas, Thomas E. Merchant, Tucker J. Netherton, Sogand Sadeghi
Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, St. Jude Children's Research Hospital, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Department of Radiation Oncology, St. Jude Children’s Research Hospital, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, University of Washington/ Fred Hutchinson Cancer Center, Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania, Department of Radiation Oncology and Winship Cancer Institute, Emory University
Abstract Preview: Purpose: This study evaluates the adaptability and limitations of commercially available (MIM, RayStation) tools trained on predominately adult datasets (ages 20–60+ years) for delineating organs at r...
Authors: Christopher G. Ainsley, Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Vimal K. Desai, Karen E. Mooney, Adam Mueller, Hamidreza Nourzadeh, Yevgeniy Vinogradskiy, Maria Werner-Wasik
Affiliation: Thomas Jefferson University
Abstract Preview: Purpose: MR-guided adaptive radiotherapy (MRgART) has demonstrated improved outcomes for patients with pancreatic cancer. However, the time-consuming re-segmentation of targets and organs-at-risk (OAR...
Authors: Asma Amjad, Renae Conlin, Eric S. Paulson, Christina M. Sarosiek
Affiliation: Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose: In an effort to improve contouring accuracy for abdominal MR guided online adaptive radiotherapy (MRgOART), patient-specific deep learning-based auto-segmentation (PS-DLAS) has been proposed....
Authors: Alejandro Bertolet, Mislav Bobić, Carlos Huesa-Berral, Aileen O'Shea, Ralph Weissleder
Affiliation: Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: To develop a pipeline for estimating the absorbed dose to various organs from positron emission tomography (PET) combined with magnetic resonance imaging (MRI). We use this pipeline to evalua...
Authors: Daylin Barroso, Chris Beekman, Wesley E. Bolch, Natalia Estefania Carrasco-Rojas, Robert Joseph Dawson, Walter Murfee, Harald Paganetti, Andrew Robert Sforza, Julia D. Withrow
Affiliation: Massachusetts General Hospital - Harvard Medical School, Massachusetts General Hospital, University of Florida
Abstract Preview: Purpose: To develop methods for quantifying the interaction of radiation with blood in the mouse whole body (MOBY) phantom for dosimetric applications. The most important of these are modeling the dis...
Authors: Liang Cui, Xingyu Lu, Hang Shang, LingHong Zhou
Affiliation: Southern Medical University
Abstract Preview: Purpose: This study examines how varying dose rates of radiotherapy impact normal tissues outside the target area and analyzes the protective effects and regulatory mechanisms of ultra-high dose rate ...
Authors: Samuel L. Brady, Shruti Hegde, Alexander Knapp, Usman Mahmood, Joseph G. Meier, Elanchezhian Somasundaram, Zachary Taylor
Affiliation: Cincinnati Children's Hospital Medical Ctr, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Cincinnati Children's Hospital Medical Center, Cincinnati Childrens Hospital Med Ctr
Abstract Preview: Purpose:
To assess how two benchmark multi-organ CT segmentation models respond to varying image noise levels.
Methods:
This study utilized the pediatric CT dataset from The Cancer Imaging Ar...
Authors: Vinay K Banka, Mikalai Budzevich, William R. Gibbons, Mark L. McLaughlin, Jacob Moriarty, Eduardo G. Moros, David L. Morse, Christopher J. Tichacek, Thad J. Wadas
Affiliation: Modulation Therapeutics Inc, Moffitt Cancer Center, University of Iowa
Abstract Preview: Purpose: A targeted alpha therapy drug, 225Ac-MTI-201, has been developed targeting the Melanocortin 1 Receptor for metastatic uveal melanoma and is currently in FIH clinical trials. Since alpha emiss...
Authors: Wesley E. Bolch, Emily L. Marshall, Dhanashree Rajderkar, Wyatt Smither
Affiliation: University of Florida
Abstract Preview: Purpose: To determine the accuracy of TotalSegmentator, an AI-based automatic segmentation toolkit, on pediatric CT scans as the original software was trained on adult image datasets with a mean patie...
Authors: Payman Hejazi, Faraz Kalantari, Milad Peer-Firozjaei, Romina Pourhashem, Ehsan Tajikmansoury
Affiliation: Department of Radiobiology and Medical Physics, Babol University of Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS), Department of Medical Physics, Semnan University of Medical Sciences, Department of Medical Physics, Semnan University of Medical Sciences, Semnan, Iran, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine
Abstract Preview: Purpose:
Pretreatment biodistribution imaging play a crucial role in optimizing tumors and organ absorbed doses estimation in radionuclide therapy. Surrogating radionuclides for more efficient trea...
Authors: David Alcorta, Joseph Farina, Timothy Haystead, Yiping He, Philip Hughes, David Loiselle, Marybeth Nedrud, Victoria J. P. Radosova, Jianpeng Yu
Affiliation: Duke University Department of Pharmacology and Cancer Biology, Medical Physics Graduate Program, Duke University, Duke University Department of Medicine, Duke University, Duke University Pharmacology and Cancer Biology, Duke University School of Medicine, Duke Cancer Institute
Abstract Preview: Purpose: Targeted radiopharmaceuticals have become of widespread interest in the scientific community given their ability to detect and treat metastatic disease. We aim to validate the use of novel ch...
Authors: Maria Jose Medrano, Grant Stevens, Liyan Sun, Justin Ruey Tse, Adam S. Wang, Sen Wang
Affiliation: Department of Radiology, Stanford University, GE HealthCare, Stanford University
Abstract Preview: Purpose: Patient exposure to ionizing radiation is a major concern in CT imaging. Size-specific dose estimation methods can prospectively estimate organ-level radiation doses based on patient sizes an...
Authors: Dante PI Capaldi, Lu Jiang, Qihui Lyu, Ke Sheng
Affiliation: Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose:
Preclinical small animal studies help understand radiation-induced biological responses, toxicities, and mechanisms, facilitating the translation of new therapies to patient treatment. Int...
Authors: Julia Brosch-Lenz, Munir Ghesani, Francesc Massanes, Michael Morris, Babak Saboury, Eliot Siegel, Alexander Hans Vija
Affiliation: Institute of Nuclear Medicine, Siemens Medical Solutions USA Inc., Molecular Imaging
Abstract Preview: Purpose: Quantitative imaging of the radiopharmaceutical distribution is crucial for treatment evaluation and dosimetry. However, as patient numbers for Lutetium-177-(177Lu)-labelled therapies continu...
Authors: Klaus Bacher, Louise D'hondt, Jeff Rutten, Gwenny Verfaillie
Affiliation: Ghent University
Abstract Preview: Purpose: Manual organ segmentation is a very time-consuming but necessary process in personalized dosimetry. Automatic segmentation tools may alleviate this task. In this study the impact of automatic...