Search Submissions 🔎

Results for "long term": 66 found

A Clarification on the Bandwidth Difference Method for MRI B0 Homogeneity Assessment

Authors: Christina Brunnquell, Daniel Vergara, Joseph Everett Wishart

Affiliation: University of Minnesota, University of Washington

Abstract Preview: Purpose: To propose and validate a correction to the bandwidth difference method presented in Task Group Report No. 325 for quantifying static magnetic field homogeneity (ΔB0).
Methods: A clarifica...

A Deep Learning Approach to the Prediction of Gamma Passing Rates in VMAT Radiotherapy Plans for Adaptive Treatment.

Authors: Jenghwa Chang, Kuan Huang, Lyu Huang, Jason Lima, Jian Liu, Farzin Motamedi

Affiliation: Northwell, Department of Computer Science and Technology, Kean University, Physics and Astronomy, Hofstra University, Hofstra University Medical Physics Program

Abstract Preview: Title: A Deep Learning Approach to the Prediction of Gamma Passing Rates in VMAT Radiotherapy Plans for Adaptive Treatment.
Purpose: This study aims to develop a deep learning algorithm to predict ...

A Novel Feature Selection Method for Survival Prediction of Head-and-Neck Following Radiation Therapy

Authors: Xiaoying Pan, X. Sharon Qi

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, School of Computer Science and technology,Xi'an University of Posts and Telecommunications

Abstract Preview: Purpose:
Survival prediction for cancer presents a substantial hurdle in personalized oncology, due to intricate, high-dimensional medical data. Our study introduces an innovative feature selection...

A Retrospective Assessment of Proton Radiation Response in Brain Tumor Patients Using Diffusion-Weighted MR Imaging

Authors: Liu Hong, Wen C. Hsi, Faraz Kalantari, Romy Megahed, Ganesh Narayanasamy, Maida Ranjbar, Pouya Sabouri, Zhong Su

Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose: Quantitative apparent diffusion coefficients (ADC) in diffusion-weighted MRI (dMRI) reflect water diffusivity and thus provide tissue cellular density information. Functional diffusion mappin...

AI-Driven Early Detection of Digital Radiography Performance Degradation: A Predictive Quality Control Approach

Authors: Giovanni Iacca, Gloria Miori, Laura Orsingher, Daniele Ravanelli, Annalisa Trianni

Affiliation: Department of Information Engineering and Computer Science, University of Trento, Medical Physics Department, S.Chiara Hospital, APSS

Abstract Preview: Purpose: This study aims to leverage artificial intelligence (AI) to predict and identify performance degradation in Digital Radiography (DR) systems, enabling proactive maintenance and minimizing cli...

Advancements and Cost-Effectiveness of Proton Therapy in the Global Oncology Landscape

Authors: Aman Anand, Jonathan B. Ashman, Martin Bues, Brady S. Laughlin, Lisa McGee, Justin Pettit, Fan Yang, Libing Zhu

Affiliation: Department of Radiation Oncology Mayo Clinic, Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Purpose: Proton therapy (PT) offers significant clinical and economic benefits across various cancers, whereas it also has faced skepticism due to its historically high costs and perceived overuse in ...

Advancing Post-Radiotherapy Toxicity Extraction: A Novel Privacy-Preserving, Parameter-Efficient Language Model Fine-Tuning

Authors: Hassan Bagher-Ebadian, Indrin J. Chetty, Mohamed Elshaikh, Ahmed I Ghanem, Mohammad M. Ghassemi, Reza Khanmohammadi, Benjamin Movsas, Shayan Siddiqui, Kundan S Thind, Jawad Turfa

Affiliation: Michigan State University, Department of Radiation Oncology,Cedars-Sinai Medical Center, Department of Radiation Oncology, Henry Ford Health-Cancer, Detroit, MI and Alexandria Department of Clinical Oncology, Faculty of Medicine, Alexandria University, Henry Ford Health

Abstract Preview: Purpose: Extracting late radiotherapy-induced toxicities from free-text notes using natural language processing is complicated by negative symptom identification, computational demands, and data priva...

Advancing Thoracic Synthetic CT Images with Enhanced Cyclegan for Adaptive Radiotherapy Applications

Authors: Silambarasan Anbumani, Nicolette O'Connell, Eenas A. Omari, Amanda Pan, Eric S. Paulson, Lindsay Puckett, Monica E. Shukla, Dan Thill, Jiaofeng Xu

Affiliation: Elekta Inc, Elekta Limited, Linac House, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Accurate electron density information from on-board imaging is essential for direct dose calculations in adaptive radiotherapy (ART). This study evaluates a deep learning model for thoracic s...

Advancing the Evaluation of Radiation-Induced Vaginal Toxicity Using Ultrasound Radiomics: Phantom Validation and Pilot Clinical Study

Authors: Himanshu Joshi, Tian Liu, Deborah C Marshall, Joseph Shelton, Jing Wang, Xiaofeng Yang, Emi Yoshida, Boran Zhou

Affiliation: Department of Radiation Oncology, Baylor College of Medicine, Icahn School of Medicine at Mount Sinai, Emory University, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology, University of California, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Radiation-induced long-term toxicities, such as vaginal stenosis, significantly impact the quality of life for patients undergoing pelvic radiotherapy (RT) for gynecologic (GYN) malignancies....

An Analytical Approach to Monitor Unit Calculation in Extended Distance Total Body Irradiation (TBI)

Authors: Cheewai Cheng, Indra J. Das, Jeffrey Yui Hei Wong, Poonam Yadav

Affiliation: Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine

Abstract Preview: Purpose: Radiation treatment machine replacement brings chaos and urgency of timely completion of machine commissioning for every procedure used including TBI that are time consuming. Based on past ex...

An Explainable Classifier for Enhancing the Quality Assurance of Digital Breast Tomosynthesis Phantom Images

Authors: Hui-Shan Jian, Yu-Ying Lin

Affiliation: Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou

Abstract Preview: Purpose: The image quality assurance of mammographic images is crucial for correct diagnosis. To develop and validate an explainable deep-learning classifier for phantom image quality assessment of di...

Assessing Long-Term Stability of Parylene-Coated, 3D-Printed Plastic Vessels for Water Calorimetry-Based Radiation Dosimetry

Authors: Philip Cutter, Mark D'Souza, Arman Sarfehnia

Affiliation: Toronto Metropolitan University, Sunnybrook Health Sciences Centre, Sunnybrook Health Science Center

Abstract Preview: Purpose: Water calorimetry (WC) serves as an important standard for measuring absorbed dose to water, an essential metric in radiation therapy. WC directly and absolutely quantifies energy deposition ...

Beyond the Beam: Mitigating Late Effects and Long-Term Outcomes in Pediatric and AYA Radiotherapy

Authors: Rebecca M. Howell

Affiliation: Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: N/A...

Breast Cancer Awareness and Education for Teens: Empowering the Next Generation to Take Charge of Their Health

Authors: Nana Akosua O. Adomako, Evangeline Dorleagbenu, Victor E. Ekpo, Fatima Issaka, Abigail N.M. Quaye

Affiliation: Tema General Hospital, Pink Africa Foundation, Korle Bu Teaching Hospital, Methodist University, Medical Equipment and Ancillary Services

Abstract Preview: Purpose: This preliminary study evaluates the effectiveness of breast cancer awareness programs for teenagers in Tema, Ghana. In Ghana, breast cancer poses a significant public health challenge. There...

Can Automated Log-File Analysis Provide Insight into Machine Performance across Distinct Clinics?

Authors: Kellin M De Jesus, Leon Dunn, Les Sztandera, David H. Thomas

Affiliation: IsoAnalytics Pty. Ltd., Thomas Jefferson University

Abstract Preview: Purpose: Machine accuracy and performance are critical for ensuring the safety and efficacy of intensity-modulated radiotherapy (IMRT and VMAT). This study aims to analyze a large and diverse set of l...

Characterization of a Novel Large-Sized Epid System from the Newly Released Ring Shape Radiation Therapy Halos Tx

Authors: Sen Bai, Guyu Dai, Dong Gao, Lecheng Jia, Guangjun Li, Yanfang Liu, Ying Song, Qing Xiao, Wei Zhang

Affiliation: United Imaging Healthcare, West China Hospital of Sichuan University, Shenzhen United Imaging Research Institute of Innovative Medical Equipment

Abstract Preview: Purpose:
Electronic portal imaging device (EPID) is currently the most widely used in-vivo dosimetry (IVD) device. However, the effective detector area shortage hinders further applications. This s...

Characterizing the Stability of Upright CT for Proton Therapy

Authors: Brian Burger, Carri K. Glide-Hurst, John W. Hayes, Carson Hoffman, Minglei Kang, Jessica R. Miller, Jordan M. Slagowski, Yuhao Yan

Affiliation: Department of Human Oncology, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Leo Cancer Care

Abstract Preview: Purpose: The combination of upright CT and patient positioner for particle therapy present tremendous potential for high precision IGRT and online adaptive radiation therapy (ART), where reliable CT p...

Clinical Outcomes of Gamma Knife Stereotactic Radiosurgery Treatments for Intracranial Arteriovenous Malformations & Fistulas: A Single Institutional Retrospective Study

Authors: Madeleine Arbogast, David Dorndos, Denise E Foltz, Justin Fraser, Damodar Pokhrel, William St Clair

Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky, Department of Neurosurgery, University of Kentucky, Radiation Medicine

Abstract Preview: Purpose: For stereotactic radiosurgery (SRS) treatments of intracranial arteriovenous malformations (AVM) and fistulas (AVF), same-day Leksell Gamma Knife (GK) is the preferred modality. Long-term cli...

Commissioning of a Near Real-Time In Vivo Film Dosimetry System

Authors: Maria F. Chan, Indra J. Das, Xiuxiu He, Seng Boh Gary Lim, Jeonghoon Park, Yunjie Yang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: There is a need for accurate and flexible in-vivo dosimetry systems, particularly for special procedures. Effective dosimetry is crucial for dose verification and maintaining records. A new r...

Comparison of AI-Based and Ants for Longitudinal Deformable Image Registration in Head and Neck Cancer

Authors: Aditya P. Apte, Joseph O. Deasy, Jue Jiang, Nancy Lee, Sudharsan Madhavan, Nishant Nadkarni, Lopamudra Nayak, Harini Veeraraghavan, Wei Zhao

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: To track early response to radiotherapy using digital twins, it is crucial to quantify tumor volume and mass changes. Traditional tumor detection methods, particularly in image registration, ...

Comparison of Linear Energy Transfer Volume Histograms from Two Beam Geometries in a Pediatric Chordoma Patient Treated with Intensity Modulated Proton Therapy

Authors: Michael Confer, Mark A. Newpower

Affiliation: University of Oklahoma Health Sciences Center

Abstract Preview: Purpose: A pediatric patient recently presented to our clinic for treatment for chordoma, which was near the brainstem. The clinician elected to treat this patient using intensity modulated proton the...

Comparison of Portal Dosimetry and Delta4ÂŽ for Pretreatment QA of Sfrt-VMAT Plans

Authors: Tianyuan Dai, Zejun Jiang, Xiangyue Kong

Affiliation: Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences

Abstract Preview: Purpose:
This study aims to evaluate the reliability of SFRT-VMAT plan verification by comparing two QA methods: Portal Dosimetry (PD) and Delta4ÂŽ.
Methods:
Preteatment QA was conducted for 1...

Deep Learning-Based Dose Distribution Prediction for Automation of Treatment Planning

Authors: Yaspal Badyal, Rabten Datsang, Tianjun Ma, William Song

Affiliation: MVision AI, Virginia Commonwealth University

Abstract Preview: Purpose: Deep learning (DL)-based dose distribution predictions for prostate cancer show significant potential for OAR sparing compared to manually optimized treatment plans. We aim to generate clinic...

Designing Impactful Radiotherapy Training for Skill Development and Long-Term Growth

Authors: Stephanie Bennett, Sean L. Berry, Caroline M. Colbert, Dustin J. Jacqmin, James A. Kavanaugh, Minsun Kim, Maura L. Kirk, Emily Kruse, Benjamin Li, Mu-Han Lin, Lindsey A. Olsen, Jose Carlos Pichardo, Justin R. Roper, Leah K. Schubert, Chunhao Wang, Sua Yoo

Affiliation: University of Wisconsin, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation & Cellular Oncology, University of Chicago, Abington - Jefferson Health, Mayo Clinic, University of Washington, University of Colorado Health, University of Colorado Denver, Department of Radiation Oncology, University of Washington and Fred Hutch Cancer Center, Duke University, Pichardo Physics LLC, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: As clinics in lower- and middle-income countries (LMICs) transition to advanced radiotherapy techniques like IMRT and VMAT, gaps in training can result in suboptimal planning. To help support...

Determining Optimal Delivery Pattern for Reference Dosimetry in Pencil Beam Scanning Proton Therapy

Authors: Clifford Ghee Ann Chua, Calvin Wei Yang Koh, Kah Seng Lew, Zubin Master, Sung Yong Park, Hong Qi Tan, Andrew Wibawa

Affiliation: National Cancer Centre Singapore

Abstract Preview: Purpose: To investigate the impact of spot position deviation on reference dosimetry measurements using different delivery patterns and to determine the optimal delivery pattern for reference dosimetr...

Discriminative Uncertainty Learning for Cancer Classification

Authors: Wei Wei, Yading Yuan

Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology

Abstract Preview: Purpose: To investigate an uncertainty modeling method to improve the performance of cancer classification with the ability to produce uncertainty score.
Methods: Deep learning has achieved state-o...

Dosimetric Analysis of Lymphopenia after Lung Irradiation and Modeling the Probability of Normal Tissue Complications

Authors: Tianyuan Dai, Xiaoying Fan, Shuting Wang, Yong Yin

Affiliation: Department of Graduate, Shandong First Medical University, Shandong Academy of Medical Sciences, Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences

Abstract Preview: Purpose: Decreased lymphocytes increase the risk of infections and other problems. Radiation exposure can cause the development of severe lymphopenia. In this study, we used a dynamic blood flow model...

Early GU Toxicity Prediction in Prostate SBRT Using Delivered Dosimetry Via Long Short-Term Memory Model

Authors: Amar Kishan, Jun Lian, Yunkui Pang, Jonathan Pham, X. Sharon Qi, Michael Steinberg, Luca F Valle, Pew-Thian Yap

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of North Carolina at Chapel Hill

Abstract Preview: Purpose: Stereotactic body radiotherapy (SBRT) is a highly effective treatment for prostate cancer, yet predicting genitourinary (GU) toxicity has primarily relied on planned dosimetry. This study inv...

Establishing Radiotherapy in Malawi through an International Medical Physics Collaboration

Authors: Ruth Afanador, Daniela Branco, John M Bryant, John Campbell, Clement Chaphuka, Samuel A. Einstein, David B. Flint, Jeffrey R. Kemp, Mussa Kumwembe, Daniel J Mollura, Joseph Weygand

Affiliation: RAD-AID International, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology and Applied Science, Dartmouth Health, UNC Health, Malawi National Cancer Center, Kamuzu Central Hospital, Penn State College of Medicine, Sutter Health, New York University, University of California San Diego / California Protons, Department of Radiation Oncology, Moffitt Cancer Center

Abstract Preview: Purpose: Malawi, a landlocked country in southeastern Africa with a population of over 20 million, ranks among the world’s least-developed nations and has the fourth-lowest gross domestic product per ...

Evaluating LiF:Mg,Ti TLD Reliability at Body Temperature for Long-Term Dose Monitoring

Authors: Larry A. DeWerd, Keith A. Kunugi, Autumn Rasmussen

Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison

Abstract Preview: Purpose: Ensuring the validity of the thermoluminescent dosimeter (TLD) response requires verifying that signal fading—defined by a reduction in stored signal—is well-known and corrected for under the...

Evaluating Planning Metrics for Biology-Guided Radiation Therapy (BgRT)

Authors: Emily Hansen, Jay Mistry, Alois M. Ndlovu, Niara Rowe, Roland Teboh

Affiliation: Hackensack University Medical Center

Abstract Preview: Purpose: SCINTIX Biology-guided radiotherapy (BgRT) on the RefleXion X1 relies on a new planning system and advanced planning techniques. The first patient SCINTIX BgRT plans are compared to similar c...

Evaluation of Fast Monte Carlo Secondary Dose Calculation for Intensity Modulated Proton Therapy in Heterogeneous Materials

Authors: Ergun E. Ahunbay, Abdul Kareem Parchur, Eric S. Paulson, Ilaria Rinaldi, Angelo Schiavi, Li Zhao

Affiliation: Sapienza University of Rome, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Secondary dose calculations (SDC) facilitate patient-specific quality assurance for online adaptive intensity-modulated proton therapy (IMPT). However, there is currently a lack of commercial...

Evaluation of Nodule Volume Accuracy with Deep Learning-Based Reconstructions on Cdznte Photon-Counting and Energy-Integrating CT

Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Luuk J Oostveen, Elsa Bifano Pimenta, Ioannis Sechopoulos, Alessandra Tomal

Affiliation: Radboud University Medical Center, University of SĂŁo Paulo (USP), Institute of Physics, Universidade Estadual de Campinas. Instituto de FĂ­sica Gleb Wataghin

Abstract Preview: Purpose: This study aimed to evaluate the precision and accuracy of volume measurements for solid nodules (SNs) and ground-glass opacities (GGOs) in lung images acquired using energy-integrating CT (E...

Four-Dimensional on-Beam Computed Tomography Reconstruction from Projection Image Differences Representing Motion Change

Authors: Kwang-Ho Cheong, Seungryong Cho, Joonil Hwang, Jae Won Jung, Hoyeon Lee, Raymond Hyunwoo Moon, Inhwan Yeo, Jihyung Yoon

Affiliation: East Carolina University, INOVA Schar Cancer Institute, University of Hong Kong, Hanllym University, KAIST, University of Rochester

Abstract Preview: Purpose: Monitoring a target and neighboring organs during beam delivery is crucial for successful radiotherapy (RT). Conventional transit imaging methods lack volumetric reconstruction capabilities, ...

Functional Liver Image Guided Radiation Planning Using MRI with a Contrast Agent

Authors: Kenneth L. Homann, Natalie A Lockney, Hong Zhang

Affiliation: Department of Radiation Oncology, Vanderbilt University Medical Center, Vanderbilt University Medical Center

Abstract Preview: Purpose: The aim of this study is to develop a treatment planning methodology utilizing liver functional imaging via contrast-enhanced Magnetic Resonance Imaging (MRI) in patients undergoing stereotac...

GPU-Accelerated Beamlet and Full Dose Calculations for Efficient Radiation Therapy Planning

Authors: Girish Bal, Jan Kralj, Ayan Mitra, PhD, Ling Shao, Matjaz Subic, Yevgen Voronenko

Affiliation: RefleXion Medical, Cosylab

Abstract Preview: Purpose: This work enhances the efficiency of radiation therapy treatment planning by optimizing the beamlet dose matrix and full patient dose computations using GPU acceleration. The Collapsed-Cone C...

Graph Neural Network with Long Short-Term Memory for CT-Based Macrotrabecular-Massive Hepatocellular Carcinoma Diagnosis

Authors: Enhui Chang, Yunfei Dong, Yifei Hao, Chengliang Jin, Shengsheng Lai, Yi Long, Mengni Wu, Yulu Wu, Ruimeng Yang, Zhenyu Yang, Yue Yuan, Lei Zhang, Wanli Zhang, Yaogong Zhang

Affiliation: Duke Kunshan University, Department of Radiology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Macrotrabecular-Massive Hepatocellular Carcinoma (MTM-HCC) is one type of liver cancer showed minimum image signature for accurate non-invasive diagnosis. This study aims to develop and evalu...

Impact of a Dedicated Working Group on Standardization of CT-Guided Adaptive Radiation Therapy

Authors: Anthony J. Doemer, Aharon Feldman, Ian Gallagher, Yimei Huang, Brett M. Miller, Benjamin Movsas, Kundan S Thind

Affiliation: Henry Ford Health

Abstract Preview: Purpose: CT-guided adaptive radiation therapy (CTgART) is a technical, resource intensive, procedure that involves many different radiation oncology team members. To ensure consistent, high-quality CT...

Investigating the Use of a DWI Phantom for Routine QA of an MR-Linac at Room Temperature

Authors: Nicholas Carlson, Joel J. St-Aubin

Affiliation: University of Iowa Hospitals and Clinics, University of Iowa

Abstract Preview: Purpose: To establish baselines metrics and determine longitudinal accuracy and reproducibility of Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) values for a 1.5T Elekta Un...

Is Simplicity Even Better: Deep Learning Algorithms for Breath Motion Phase Prediction in Motion Management

Authors: Amanda J. Deisher, Andrew YK Foong, Witold Matysiak, Jing Qian, Xueyan Tang, Erik J. Tryggestad, Mi Zhou

Affiliation: Mayo Clinic

Abstract Preview: Purpose: Phase gating is commonly employed to mitigate the impact of tumor motion in radiotherapy. Due to the machine-specific time delay between triggering and radiation delivery, the triggering sign...

Liver Tumor Auto-Contouring Using Recurrent Neural Networks on MRI-Linac for Adaptive Radiation Therapy

Authors: Yan Dai, Jie Deng, Christopher Kabat, Weiguo Lu, Ying Zhang, Hengrui Zhao

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, 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:
MRI-guided adaptive radiotherapy (MRgART) using MR-LINAC systems offers significant advantages for liver cancer, enabling superior tumor delineation and online plan adaptation. However, ma...

Long-Term Stability Assessment of an Imaging Ring System Using One Year of Monthly Quality Assurance Data

Authors: Awens Alphonse, Nebi Demez, Brian P. Laffey, Shyam Pokharel, Suresh Rana, Nishan Shrestha

Affiliation: Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida

Abstract Preview: Purpose: The Imaging Ring is a mobile digital X-ray system capable of producing 2D planar X-rays, fluoroscopy, and 3D Cone-Beam Computed Tomography (CBCT) images. This study aimed to evaluate the long...

Lung-Equivalent Compressible Material As Core Component for a Miniaturized Breathing Phantom Prototype

Authors: Silvia Calusi, Lucia Cavigli, Alberto Dalla Mora, Laura Di Sieno, Giacomo Insero, Riccardo Lisci, Livia Marrazzo, Cosimo Nardi, Stefania Pallotta, Andrea Profili, Fulvio Ratto, Giovanni Romano, Michaela Servi, Immacolata Vanore, Yary Volpe

Affiliation: Italian National Research Council IFAC-CNR, Institute of Applied Physics, Department of Physics, Politecnico di Milano, Department of Agricultural Food and Forestry System, University of Florence, Medical Physics Unit, Azienda Ospedaliero-Universitaria Careggi, Department of Industrial Engineering, University of Florence, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence

Abstract Preview: Purpose: To develop a multi-purpose lung phantom prototype to replicate respiratory dynamics and morphological features observed in clinical radiological (CT and MR) imaging of lung parenchyma.
Met...

Multi-Mechanism CNN and Long Short-Term Memory Fusion Model for Improved CT-Based Thyroid Cancer Diagnosis

Authors: Yunfei Dong, Dongyang Guo, Jiongli Pan, Tao Peng, Caiyin Tang, Zhenyu Yang, Fang-Fang Yin, Lei Zhang, Tianyi Zhang, Yaogong Zhang

Affiliation: Duke Kunshan University, Department of Radiology, Taizhou People’s Hospital Affiliated to Nanjing Medical University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: This study aims to improve the accuracy of CT-based diagnosis of thyroid cancer by developing a hybrid model that integrates Convolutional Neural Networks (CNNs) with Long Short-Term Memory (...

Multi-Variat, Multi-Model, and Multi-Patient: From Pure Feasibility to Generalizability in Machine Learning Outcome Prediction Model-Based Treatment Plan Optimization

Authors: Martin Frank, Oliver Jäkel, Niklas Wahl

Affiliation: Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Karlsruhe Institute of Technology (KIT)

Abstract Preview: Purpose: Machine learning (ML) models on normal tissue complication and tumor control probability ((N)TCP) exploiting e.g. dosiomic and radiomic features are playing an increasingly important role in ...

Next Generation Nanoparticles for Fractionated MRI-Guided Radiation Therapy

Authors: Stephanie Bennett, Ross I. Berbeco, Guillaume Bort, Needa Brown, Lena Carmes, Sandrine Dufort, Michael John Lavelle, Geraldine Le Duc, Francois Lux, Toby Morris, Zeinaf Muradova, Andrea Protti, Olivier Tillement

Affiliation: University de Lyon, NH TherAGuIX, University of Massachsetts Lowell and Dana-Farber Cancer Institute Boston, Department of Radiation & Cellular Oncology, University of Chicago, University of Central Florida, Department of Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, NH TherAguix, Universite de Lyon, Brigham and Women's Hospital, Dana-Farber Cancer Institute

Abstract Preview: Purpose: AGuIX is a theranostic Gd-based nanoparticle currently under phase-2 clinical testing where patients receive 2-3 doses at 1-week intervals prior to imaging and irradiation. AGuIX-Bi is a new ...

Optimizing Lung SBRT Delivery: Role of Multiple Cbcts in Managing Intra-Fraction Motion

Authors: Anthony J. Doemer, Ian Gallagher, Yimei Huang, Jeff A. Riess, Kundan S Thind, Bo Zhao

Affiliation: Henry Ford Health

Abstract Preview: Purpose: Stereotactic body radiation therapy (SBRT) is commonly used for early-stage lung cancer. While pre-treatment CT captures some tumor motion, it may not fully represent intra-fraction motion du...

Optimizing Motion Management QA: Clinical Integration of Aapm TG-306 for the Radixact Synchrony System

Authors: Hulya Ozdemir Buss, Jeffrey Geiger, Kim Howard, Julius G. Ojwang, Neelu Soni

Affiliation: Mercy Hospital Springfield

Abstract Preview: Purpose: The Radixact Synchrony system integrates real-time motion tracking and compensates to improve treatment accuracy for moving targets. This study presents a streamlined and efficient quality as...

Personalized Radiotherapy: A Novel Approach to Multi-Criteria Optimization with Patient-Specific Risk Integration

Authors: Ali Ajdari, Thomas R. Bortfeld, Zhongxing Liao, Mara Schubert, Katrin Teichert

Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Fraunhofer ITWM

Abstract Preview: Purpose: Radiotherapy (RT) treatment planning often involves solving a multi-criteria optimization (MCO) problem. Conventionally, MCO considers a set of generic (population-wide) dosimetric criteria, ...

Photon-Counting CT for Estimation of Quantitative Information for Radiation Therapy Treatment Planning: Assessment of Scanning Conditions and Phantom Sizes

Authors: Carina Gassner, Guyue Hu, Thomas KrĂśncke, Christopher Kurz, Guillaume Landry, Katharina Niepel, Katia Parodi, Franka Risch, Florian Schwarz

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) Mßnchen, Department of Medical Physics, Ludwig-Maximilians-Universität Mßnchen (LMU Munich)

Abstract Preview: Purpose: To evaluate the performance of a clinical photon-counting CT (PCCT) scanner in terms of proton relative stopping power (RSP) estimation using PCCT data and to compare the impact of different ...

Portpy: An Open-Source Python Package to Accelerate Research in Radiotherapy Treatment Planning Optimization

Authors: Qijie Huang, Gourav Jhanwar, Saad Nadeem, Vicki Trier Taasti, Mojtaba Tefagh, Seppo Tuomaala, Masoud Zarepisheh

Affiliation: Varian Medical Systems Inc, Department of Clinical Medicine - Danish Center for Particle Therapy, Aarhus University Hospital, Memorial Sloan Kettering Cancer Center, The University of Edinburgh

Abstract Preview: Purpose:
We have developed PortPy (Planning and Optimization for Radiation Therapy in Python), a first-of-its-kind open-source package designed to accelerate research and development in radiotherap...

Predicting Pathological Complete Response to Neoadjuvant Chemotherapy for Breast Cancer at Early Time Points Using a Two-Stage Dual-Task Deep Learning Strategy

Authors: Bowen Jing, Jing Wang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Medical images acquired at multiple time points during neoadjuvant chemotherapy allow physicians to assess patients’ responses and personalize treatment plans accordingly. Studies from the I-...

Principles of Medical Imaging: An AI-Driven Interdisciplinary Course Bridging Academia, Industry, and Clinical Practice

Authors: Ning Wen, Zheyu Zhang

Affiliation: Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai Jiaotong University

Abstract Preview: Purpose: The graduate course, “Principles of Medical Imaging,” aims to advance imaging technology by integrating artificial intelligence (AI) into medical imaging. It bridges interdisciplinary fields,...

Proton Pencil Beam Scanning Ultra-High Dose Rate 3D Lattice Radiotherapy: A Proof-of-Concept Flash Sfrt Study

Authors: Richard Bakst, Arpit M. Chhabra, J Isabelle Choi, Chanda Guha, Minglei Kang, Nancy Y Lee, Haibo Lin, Hang Qi, Charles B. Simone, Pingfang Tsai, Milo Vermeulen, Shouyi Wei, Xiaodong Wu, Lee Xu, Irini Yacoub, Xingyi Zhao, Ajay Zheng

Affiliation: University of Miami, Peking University, New York Proton Center, Montefiore Medical Center and Albert Einstein College of Medicine, icahn school of medicine at mount sinai, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose:
Three-dimensional lattice radiation therapy (3D-LRT) effectively achieves local tumor control with limited morbidity. Pencil beam scanning (PBS) proton therapy provides precise dose confor...

Quantitative Analysis of Long-Term Optical Density Variations of Irradiated and Un-Irradiated EBT3 Films

Authors: Rick Holly, Sumudu Katugampola

Affiliation: Gesinger Medical Center, Geisinger Medical Center

Abstract Preview: Purpose:
To quantitatively analyze long term variations in optical density of un-irradiated and irradiated EBT3 radio-chromic films and their effects on dose calibration curves in a clinical settin...

Radiobiological Modeling of Tumor Control and Normal Tissue Response Following Mlc-Based Sfrt to Extensive Breast and Chest Wall Tumors

Authors: Ramesh Boggula, Yash Somnay, Hualin Zhang

Affiliation: Radiation Oncology, Keck School of Medicine of USC, Wayne State University

Abstract Preview: Purpose: Spatially fractionated radiation therapy (SFRT) allows delivery of therapeutic doses to bulky tumors otherwise limited by dose-volume effects that threaten organ-at-risk tolerances. For negle...

Real-Time Automatic Treatment Planning System (RT-AutoTPS) for Volumetric Modulated Arc Radiotherapy (VMAT)

Authors: Steve B. Jiang, Austen Matthew Maniscalco, Dan Nguyen, Chenyang Shen, Jiacheng Xie, Shunyu Yan, Ying Zhang, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas

Abstract Preview: Purpose: Although treatment planning systems (TPSs) can handle dose calculation and plan optimization automatically, planning for radiotherapy still requires extensive efforts and expertise from a mul...

Reinforcement Learning Based Machine Parameter Optimization for Two-Arc Prostate VMAT Planning

Authors: William T. Hrinivich, Junghoon Lee, Lina Mekki

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Biomedical Engineering, Johns Hopkins University, Johns Hopkins University

Abstract Preview: Purpose: Volumetric modulated arc therapy (VMAT) planning is a computationally expensive process. In this work, we propose a reinforcement learning (RL) framework to automatically optimize dose rate a...

Scissor-Beam Based Carbon Ion Minibeam Treatment Planning Method

Authors: Hao Gao, Qiang Li, Yuting Lin, Wei Wang, Wei Wu, Weijie Zhang

Affiliation: Institute of Modern Physics, Chinese Academy of Sciences, China, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Carbon minibeam radiation therapy (cMBRT) offers high peak-to-valley dose ratio (PVDR) and relative biological effectiveness. A key challenge is balancing uniform target coverage with PVDR pr...

Spatial Dosimetric-Based Prediction of Long-Term Urinary Toxicity after Permanent Prostate Brachytherapy

Authors: Rajeev K. Badkul, Ronald C Chen, Ying Hou, Harold Li, Chaoqiong Ma, Jufri Setianegara

Affiliation: Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose:
Postimplant urinary toxicity is common in prostate low-dose-rate (LDR) brachytherapy. We developed a machine learning (ML) model to explore the correlation between spatial dose distributio...

The Dosimetric and Dose RATE Characteristics for Bragg Peak Proton MINI-Ridge Filter Flash in Comparison to Conventional Proton and Filter Free Flash for Breast and Prostate

Authors: Jenghwa Chang, Chingyun Cheng, J Isabelle Choi, Muhammad Hamza, Minglei Kang, Tyler Kaulfers, Grant Lattery, Haibo Lin, Charles B. Simone, Xingyi Zhao

Affiliation: Peking University, Hofstra University Medical Physics Program, New York Proton Center, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Physics and Astronomy, Hofstra University, Physics Resident at Montefiore Einstein, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: In terms of high dose rate FLASH, the question remains on how to properly deliver treatment and what clinical sites are feasible to deliver such treatment. The novel Bragg peak (BP-FLASH) and...

Topas-Nbio – Status and Outlook after a Decade of Developments

Authors: Alejandro Bertolet, Jorge Naoki Dominguez Kondo, Bruce A. Faddegon, Kathryn D Held, Nicolas Henthorn, Jay LaVerne, Thongchai Masilela, Stephen J. McMahon, Isaac Meyer, Victor V. Onecha, Harald Paganetti, Jose A. Ramos-Mendez, Jan PO Schuemann, Wook-Geun Shin, Michael Taylor, John Warmenhoven

Affiliation: Massachusetts General Hospital, Queen's University Belfast, Massachusetts General Hospital and Harvard Medical School, University of California San Francisco, University of Manchester, Notre Dame University

Abstract Preview: Purpose: TOPAS-nBio brings a cutting-edge Monte Carlo (MC) simulation framework to the research community to test hypotheses of radiation effects at the nanometer/cell scale. Here, we present the deve...

Transforming CT Technologist Training: Real-Time Feedback, Gamification, and Phantom-Based Education for Accurate Patient Positioning

Authors: Rebecca Lamoureux, Zahra (Zara) Razi, Zachary Whipps

Affiliation: University of New Mexico Hospital

Abstract Preview: Purpose: Patient mispositioning in CT imaging contributes to inconsistent radiation dose delivery and suboptimal image quality, impacting patient safety and diagnostic outcomes. This study evaluates a...

Uncertainty in Contralateral Breast Dose Reconstruction for Breast Cancer Radiotherapy Patients in the United States between 1990 and 2012

Authors: Amy Berrington de Gonzalez, David Borrego, Rochelle Curtis, Gretchen L Gierach, Jae Won Jung, Choonik Lee, Choonsik Lee, Matthew Mille, Lene Veiga, Jacqueline Vo

Affiliation: University of Michigan, East Carolina University, Radiation Protection Division, Office of Radiation and Indoor Air, U.S. Environmental Protection Agency, National Cancer Institute, Institute of Cancer Research

Abstract Preview: Purpose: Radiotherapy is vital for treating breast cancer, but its long-term health effects remain a concern. Accurate dose reconstruction is crucial for evaluating risks in retrospective epidemiologi...

Universal MR-to-Synthetic CT: A Streamlined Framework for MR-Only Radiotherapy Planning

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, 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:
Converting MR images to synthetic CT (MR2sCT) is highly desirable as it streamlines the radiotherapy treatment planning workflow. This approach leverages the superior soft tissue visibilit...

Validation of a Novel Dielectric Layer-Based Detector for Linear Accelerator Quality Assurance

Authors: Dong Wook Kim, Jin Sung Kim, Dongho Lee, Sangmin Lee

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea, Republic of (South)

Abstract Preview: Purpose:
This study aims to analyze the characteristics of a novel detector based on a dielectric layer (Vieworks Co., Korea), which demonstrates high tolerance to high radiation doses and light tr...