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Results for "met objective": 46 found

A Dosimetric Study of Range-Compensated Proton Arc Therapy

Authors: Alonso N. Gutierrez, Daniel E. Hyer, Blake R. Smith

Affiliation: Miami Cancer Institute, Baptist Health South Florida, Iowa Health Care, University of Iowa

Abstract Preview: Purpose: To perform a feasibility study of optimizing and producing a compact range compensator to deliver single-energy pencil beam scanning (PBS) proton arc therapy treatments. Omitting energy chang...

A Feasible, Extendable, and Low-Cost Web-Based Application to Minimize the Second-Check Workload

Authors: William N. Duggar, Li Yuan

Affiliation: University of Mississippi Medical Center

Abstract Preview: Purpose:
Radiation Oncology departments typically utilize various systems from different vendors. Ensuring the integrity and correctness of data during transfers between these systems is essential ...

A Framework for Automated Selection of Dose-Volume Objectives to Improve Radiation-Induced Immune Suppression (RIIS)-Related Overall Survival (OS) Following Chemo-Radiotherapy

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...

Automated IMPT Treatment Planning for CSI: Enhancing Efficiency with Auto-Segmentation and Scripting

Authors: Katja M. Langen, William Andrew LePain, Robert Muiruri, Vivi Nguyen, Mosa Pasha, Roelf L. Slopsema, Alexander Stanforth, Yinan Wang, Mingyao Zhu

Affiliation: Emory Healthcare, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Intensity modulated proton therapy (IMPT) treatment planning for craniospinal irradiation (CSI) is complex and requires extensive effort from the planner. This study aims to enhance planning ...

Automated Plan Optimization Using an Adaptive Objective Function Template in Prostate Cancer

Authors: Michael Joseph Dance, Shiva K. Das, John Dooley, David V. Fried, Spencer Lynch, Michael Repka, Shivani Sud, Neil Ari Wijetunga

Affiliation: University of North Carolina

Abstract Preview: Purpose: The growing complexity of radiation therapy treatment planning presents challenges in maintaining efficient clinical workflows while ensuring plan quality. This study evaluates the use of an ...

Automation of Clinical Protocol Imports for Treatment Planning System Version Update Compatibility

Authors: Michael Ashenafi, Mario Ramos Gallardo, Amy Herman, Sean M. Tanny

Affiliation: Department of Radiation Oncology, University of Rochester

Abstract Preview: Purpose: Updates to the Varian Eclipse Treatment Planning System (TPS) have introduced new objects to replace pre-existing Clinical Protocols to aide clinicians in plan quality assessment. We have cre...

Characterization of Parameters and Workflows for Leksell Gammaplan Lightning Optimizer

Authors: Alyssa Gadsby, William J. Godwin, Daniel G. McDonald, Jean L. Peng, Alek K. Rapchak, Sean A Roles, Austin M. Skinner, Stephanie Tan

Affiliation: Medical University of South Carolina

Abstract Preview: Purpose: To characterize optimal optimization workflow and settings for a single large target utilizing the Leksell GammaPlan Lightning Optimizer.
Methods: An anonymized dataset containing a large ...

Clinical Application of Biology-Guided Radiotherapy (BgRT) to Patient Having a Cardiac Implantable Electronic Device (CIED)

Authors: Girish Bal, Thomas I. Banks, Bin Cai, Yesenia Gonzalez, Zohaib Iqbal, Paul M. Medin, Rameshwar Prasad, Chenyang Shen, Robert Timmerman, Yuanyuan Zhang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, UT Southwestern Medical Center, RefleXion Medical

Abstract Preview: Purpose: Each year more than one million pacemakers and 200k cardioverter-defibrillators are implanted in patients worldwide. The presence of a CIED introduces challenges to the delivery of radiation ...

Convergence Speed Advantages of a Machine Learning Assisted Framework in IMRT Fluence Map Optimization – a Comparison Study Using Multiple Convergence Criteria

Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang

Affiliation: Duke University Medical Center

Abstract Preview: Purpose: Convergence speed is crucial for an optimizer. Faster convergence leads to better solutions with fewer iterations and less time. Recently, a machine learning (ML)-assisted framework employing...

Deep Learning Aided Oropharyngeal Cancer Autoplanning

Authors: Mark Bowers, Gabriel Carrizo, Jimmy Caudell, Vladimir Feygelman, Kevin Greco, Christian Hahn, Jihye Koo, Kujtim Latifi, Fredrik Lofman, Jacopo Parvizi, Muqeem Qayyum, Caleb Sawyer

Affiliation: RaySearch Laboratories, Moffitt Cancer Center

Abstract Preview: Purpose: Head and neck (H&N) radiotherapy planning is complex, with multiple competing objectives. We endeavored to improve efficiency of planning by developing a deep learning (DL) model trained to p...

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...

Development of a Knowledge-Based Planning Model for Intensity Modulated Proton Therapy in Breast Cancer Treatment

Authors: Parker Anderson, Elizabeth L. Bossart, Jonathan Cyriac, Nesrin Dogan, Robert Kaderka, Yihang Xu

Affiliation: University of Miami, University of Miami, Sylvester Comprehensive Cancer Center, University of Miami Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose:
Knowledge-based planning (KBP) can enhance the treatment planning process in cancer radiotherapy (RT). By training a KBP model with high-quality treatment plans developed by experts, dose-...

Development of a Knowledge-Based Planning Model for Optimal Trade-Off Guidance in Locally Advanced Non-Small Cell Lung Cancer

Authors: Ming Chao, Hao Guo, Tenzin Kunkyab, Yang Lei, Tian Liu, Kenneth Rosenzweig, Robert Samstein, James Tam, Junyi Xia, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose:
The aim of the study is to develop a trade-off prediction model to efficiently guide the treatment planning process for patients with stage III non-small cell lung cancer (NSCLC).
Metho...

Development of an Inverse Treatment Planning System for Precision Small Animal Radiotherapy

Authors: Zihao Liu, Qiwei Wu, Yanfei Xiong, Yidong Yang, Ning Zhao

Affiliation: Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Department of Engineering and Applied Physics, University of Science and Technology of China, University of Science and Technology of China

Abstract Preview: Purpose: To develop an inverse planning framework that optimizes beam angles and intensities for small animal radiotherapy and to validate its accuracy and effectiveness.
Methods: The inverse plann...

Dosimetric Evaluation of the Aldo Function for Multiple Brain Metastases in Automated Stereotactic Radiosurgery Treatment Planning

Authors: Hsiao-Mei Fu, Shih-Ming Hsu, Chia-Ting Lee, Shih-Hua Liu, Tsung-Yu Yen

Affiliation: National Yang Ming Chiao Tung University, Mackay Memorial Hospital

Abstract Preview: Purpose: The Automatic Lower Dose Objective (ALDO) is a unique function designed to achieve 98% relative coverage across all targets in automated SRS treatment planning (HyperArc planning). This study...

End-to-End Pre-Planning Needle Trajectory and Dwell Time Optimization for 3D Printable Cervical and Vaginal Templates

Authors: Deidre Batchelar, Michael Kudla, Stephanie Merkl, Tony Teke

Affiliation: BC Cancer - Kelowna

Abstract Preview: Purpose: Preplanning 3D-printed templates for cervical and vaginal brachytherapy is an iterative process, often taking hours to for an individual patient.
This study demonstrates an end-to-end auto...

Estimation of Heart Dose in Left Breast Cancer Radiotherapy: Assessment of Vdibh Feasibility Using the Supervised Machine Learning Algorithm

Authors: Rajeev Gupta, Shriram Ashok Rajurkar, Teerthraj Verma

Affiliation: King George's Medical University, King George's Medical University, UP

Abstract Preview: Purpose:
The volunteer deep inspiration breath hold (vDIBH) technique is used to reduce the heart dose in left breast cancer radiotherapy. Many times, it is faced that despite rigorous exercise and...

Evaluating the Impact of Spot Spacing on Dosimetric Outcomes in Dynamic Arc Proton Therapy for Prostate SBRT

Authors: Nebi Demez, Michael Kasper, Noufal Manthala Padannayil, Shyam Pokharel, Suresh Rana, Umesh Rana, Hina Saeed, Nishan Shrestha, Somol Sunny

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

Abstract Preview: Purpose: DynamicARC is a novel pencil beam scanning (PBS) proton therapy technique with the potential to provide more conformal dose distributions and reduce treatment time. This study investigates th...

Evaluating the Performance and Limitations of an Automated Treatment Planning Tool for Intact Breast Radiotherapy across Diverse Patient Populations

Authors: Shatha Al Afifi, Hana Baroudi, Leonard Che Fru, Laurence Edward Court, Suzanne B. Evans, Kent A. Gifford, Adam D. Melancon, Melissa P. Mitchell, Issa Mohamad, Patricia Murina, Manickam Muruganandham, Tucker J. Netherton, Callistus M. Nguyen, Joshua S. Niedzielski, Deborah L. Schofield, Simona Shaitelman, Willie Shaw, Sanjay S. Shete, Adam Shulman, Brendon Smith, Sheeba Thengumpallil, Carlos Daniel Venencia, Conny Vrieling

Affiliation: University of Cape Town, MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, University of the Free State, UT MD Anderson Cancer Center, King Hussein Cancer Center, Instituto Zunino - Fundacion Marie Curie, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Dra., Hirslanden Clinique des Grangettes, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Therapeutic Radiology, Yale University School of Medicine, Yale University, The University of Texas, MD Anderson, Houston TX

Abstract Preview: Purpose:
Automated contouring and planning tools are usually trained on single-institution datasets, seldom tested across diverse patient populations. This introduces a risk of population bias, res...

Evaluation of Proton Therapy Robustness for Thoracic Cancer Patients

Authors: Lordina Owusuwaa Oheneferewoo Asibey, Rachel B. Ger, Heng Li

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University, Howard University

Abstract Preview: Purpose: Treatment of cancer patients with proton therapy requires robust optimization applications to be able to provide adequate target coverage whiles sparing healthy tissues. Our goal was to evalu...

Evaluation on the Newest Automatic Isocenter Placement Function in ZAP-X Advanced TPS

Authors: Michael Evan Chaga, Timothy Chen, Darra M. Conti, Shabbar Danish, Jing Feng, Wenzheng Feng, Joseph Hanley, Tingyu Wang

Affiliation: Hackensack Meridian Health, Jersey Shore University Medical Center

Abstract Preview: Purpose: In August 2024, ZAP-X introduced automatic placement for isocenters in a DP-1010 upgrade for treatment planning. In this study, plans made by automatic placed isocenters are compared to those...

First Phantom Testing of Biology-Guided Radiotherapy for Sequential Integrated Boost Radiotherapy

Authors: Girish Bal, David J. Carlson, Huixiao Chen, Zhe (Jay) Chen, Emily A. Draeger, Dae Yup Han, Henry S. Park

Affiliation: RefleXion Medical, Department of Therapeutic Radiology, Yale University School of Medicine

Abstract Preview: Purpose: This study explores the feasibility, accuracy, and dosimetric performance of hybrid biology-guided radiotherapy (BgRT) combined with image-guided radiotherapy (IGRT) for delivering sequential...

Four-Dimensional Computed Tomography Based on 16cm-Long Detectors Vs 4cm-Long Detectors: Dose Validation

Authors: Qianyi Xu, Inhwan Yeo

Affiliation: INOVA Schar Cancer Institute, Thomas Jefferson University

Abstract Preview: Purpose:
Four-dimensional computed tomography(4DCT) is prone to a geometrical error when respiration changes upon patient shift. 4DCT with a longer-length detector(16cm), uninvolving the shift, has...

Gpt-Radplan: An Eclipse TPS Plugin for Automated Treatment Planning Based on Large Language Models

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...

Investigate Deep-Learned MRI Reconstruction with Data Consistency Mechanism and Task-Informed Loss

Authors: Mark Anastasio, Hua Li, Zhuchen Shao

Affiliation: Washington University School of Medicine, University of Illinois Urbana-Champaign

Abstract Preview: Purpose: Ill-conditioned reconstruction problems in medical imaging, such as those arising from undersampled k-space data in MRI, can result in degraded image quality and clinical task-orientated perf...

Investigating Pitch Factor on Plan Quality in Patients Treated with Hippocampal Avoidance Whole Brain Radiotherapy Using Volo Ultra-Optimized Helical Tomotherapy Plans

Authors: Awens Alphonse, Nebi Demez, Noufal Manthala Padannayil, Shyam Pokharel, Suresh Rana, Lauren A. Rigsby, Gagandeep Saini, Nishan Shrestha, Somol Sunny

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

Abstract Preview: Purpose: This study examined the impact of varying the pitch factor in hippocampal-avoidance whole-brain (HP-WB) radiotherapy treatments, utilizing the newly introduced VOLO Ultra optimization for Hel...

Knowledge-Based Planning for Chest Wall with Lymph Nodes Irradiation VMAT

Authors: Nesrin Dogan, Panagiota Galanakou, Robert Kaderka

Affiliation: University of Miami, Sylvester Comprehensive Cancer Center, University of Miami Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose:
To develop knowledge-based treatment planning (KBP) for volumetric modulated arc therapy (VMAT) in chest wall treatments with regional nodal involvement. Given the challenges posed due to ...

Knowledge-Based Planning in Proton Therapy: Validation and Model Size Considerations with Limited Data

Authors: Gregory A Azzam, Michael Butkus, Nesrin Dogan, Robert Kaderka, Nhan Vu, Yihang Xu

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami, University of Miami Sylvester Comprehensive Cancer Center, University of Miami, Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose: Knowledge-based planning (KBP) has demonstrated potential for improving planning quality and efficiency. Adoption of KBP in particle therapy has been slow due to limited number of plans to tr...

Linac Based Dose-Escalated Radiation Therapy for Pancreatic Cancer: Assessing Respiratory Motion

Authors: Neal Andruska, Lianna D. DiMaso-Myers

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: To provide details on how our clinic assesses respiratory motion during treatment of a pancreatic adenocarcinoma during dose escalated radiation therapy on a linear accelerator with the aid o...

Lu-PSMA-Dose, a French Retrospective Multicentric Dosimetry Study of 177Lu-PSMA Treatments for Metastatic Castration-Resistant Prostate Cancer

Authors: NadÚge Anizan, Jean-Noël Badel, Thomas Baudier, David Broggio, Désirée Deandreis, Ludovic Ferrer, Didier Franck, Camilo Garcia, Jean Gasteuil, Anne-Laure Giraudet, Olivier Humbert, Laetitia Imbert, Malick Koulibaly, Stéphanie Lamart, Sébastien Leygnac, Alexandre Pignard, Caroline Rousseau, Guido Rovera, David Sarrut, Paul Schwartz, Nicolas Varmenot

Affiliation: Institut de CancĂ©rologie de l’Ouest, Service de MĂ©decine NuclĂ©aire, Gustave Roussy, Service de Physique MĂ©dicale, Institut BergoniĂ©, Service de Physique MĂ©dicale, CHRU de Nancy Brabois, Service de MĂ©decine NuclĂ©aire, Centre de lutte contre le cancer LĂ©on BĂ©rard, UniversitĂ© de Lyon, Centre Antoine Lacassagne, Service de MĂ©decine NuclĂ©aire, UniversitĂ© Nice CĂŽte d’Azur, Centre Antoine Lacassagne, Service de MĂ©decine NuclĂ©aire, Gustave Roussy, Service de MĂ©decine NuclĂ©aire, Institut de CancĂ©rologie de l’Ouest, Service de Physique MĂ©dicale, Service de MĂ©decine NuclĂ©aire, AutoritĂ© de SĂ»retĂ© NuclĂ©aire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, AutoritĂ© de SĂ»retĂ© NuclĂ©aire et de Radioprotection (ASNR), PSE-SANTE/SDOS, CREATIS CNRS UMR 5220; INSERM U 1044; UniversitĂ© de Lyon; INSA‑Lyon, CREATIS CNRS UMR 5220; INSERM U 1044; UniversitĂ© de Lyon; INSA‑Lyon; Centre de lutte contre le cancer LĂ©on BĂ©rard, Institut BergoniĂ©, Service de MĂ©decine NuclĂ©aire

Abstract Preview: Purpose: The main objective of the Lu-PSMA-Dose study, sponsored by ASNR, is to estimate retrospectively the individual absorbed dose delivered to patients treated with 177Lu-PSMA for metastatic castr...

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-Scale, Multi-Task Framework with Jacobian Descent for Multi-Plan Dose Prediction in Sequential Boost Radiotherapy

Authors: Steve B. Jiang, Mu-Han Lin, Yu-Chen Lin, Austen Matthew Maniscalco, Dan Nguyen, David Sher, Xinran Zhong

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

Abstract Preview: Purpose:
Sequential boost radiotherapy (RT) poses a challenge in allocating dose across multiple plans while protecting organs at risk (OARs). Clinicians must decide whether OAR sparing should occu...

Optimizing Prostate Cancer Radiotherapy: Comprehensive Analysis of Automated Planning with Neural Network-Based Dose Prediction

Authors: Seungtaek Choi, Laurence Edward Court, Eun Young Han, Yusung Kim, Hunter S. Mehrens, Tucker J. Netherton, Shiqin Su

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

Abstract Preview: Purpose: Automated treatment planning is gaining traction for its enhanced consistency and efficiency. A key challenge, however, lies in the inability of neural network dose predictions directly trans...

Pancrea-Seg-Net: A Semi-Supervised Deep Learning Framework for Pancreatic Tumor and Vessel Segmentation

Authors: Manju Liu, Ning Wen, Fuhua Yan, Yanzhao Yang, Zhenyu Yang, Haoran Zhang, Lei Zhang, Yajiao Zhang

Affiliation: Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy where precise segmentation of tumors and adjacent vessels is crucial for effective treatment planning. This study dev...

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, ...

Reducing Distal-Edge Toxicity in Breast Proton Therapy Via LETd and Track-End Optimization

Authors: Matthew Case, Richard Castillo, Sunil Dutta, Edgar Gelover, Katja M. Langen, Alexander Stanforth, Mingyao Zhu

Affiliation: Emory University

Abstract Preview: Purpose: To evaluate the application of LETd and track-end (TE) objective functions during the optimization of breast proton therapy plans to decrease the risk of lung toxicity and rib fractures.
M...

Retrospective Analysis of Treatment Pauses Due to Intrafraction Movement for Frameless Single Fraction Gamma Knife Icon Radiosurgery

Authors: Nina Burbure, Tawfik G. Giaddui, Shidong Li, Curtis Miyamoto, Jeremy Price, Bin Wang

Affiliation: FCCC at Temple University Hospital

Abstract Preview: Purpose: Frameless gamma knife (GK) treatments use a thermoplastic mask coupled with high-definition motion management system that utilizes an infrared camera, and a reflective marker placed on the pa...

Spatial Variation and Dosimetry of X-Ray Contamination in Total Skin Electron Beam Therapy

Authors: William G. Breen, Dalton Griner, Scott C Lester, Joseph John Lucido, Beth A. Schueler, Jack C. Thull

Affiliation: Mayo Clinic

Abstract Preview: Purpose: Designing a total skin electron (TSE) beam therapy protocol requires finding the optimal balance between penetration depth, field uniformity, and x-ray contamination (XC). To better understan...

Target Region-Specific Dose-Volume Parameters for Estimate of Brain Toxicity in Single-Isocenter Multiple-Metastases Linac-Based Stereotactic Radiosurgery

Authors: David L. Barbee, Jose R. Teruel Antolin, Jinyu Xue

Affiliation: NYU Langone Health

Abstract Preview: Purpose: This work introduces a method of regional dose evaluation of normal brain tissue using local target-specific evaluation and compares to global dose evaluation for linac-based single-isocenter...

Teach What You See: Incorporating Theranostics Curriculum into Medical Physics Resident Education

Authors: Isaac J. Bailey, Lindsay S. DeWeese, Anna M. Mench, Celeste Winters

Affiliation: Oregon Health & Science University, Department of Diagnostic Radiology, Oregon Health & Science University

Abstract Preview: Purpose: The emergence and recent FDA approval of several new radiopharmaceutical therapies have increased demand for physicists to provide specialized support. However, these topics are not yet inclu...

The Impact of a Probabilistic Definition of the Target Volume and Radiobiological Optimization on Complication Probabilities in Proton Therapy

Authors: Ana Maria Barragan Montero, John A. Lee, Eliot Peeters, Romain Schyns, Edmond S. Sterpin, Sophie Wuyckens

Affiliation: UCLouvain, Universite Catholique de Louvain

Abstract Preview: Purpose:
Although the likelihood of a point being tumorous decreases with distance from the GTV, CTVs are still defined as binary masks. Recently, the concept of clinical target distribution (CTD),...

The Use of a Milled NIST Traceable Tld for End-to-End Validation in Mlc and Cone SRS Programs.

Authors: Ross Bland, Zachary A. Christ, Sophy Mangana, Feba Mathew, Stephanie K. Phoenix, Joseph Salloum, Jason D. Stanford, William Zollinger

Affiliation: Forrest General Cancer Center, Northeast Louisiana Cancer Institute, Florida Atlantic University

Abstract Preview: Purpose: The objective of this paper is twofold: 1) to explore the efficacy of using referenced beam models supplied by the vendor (Brainlab) and 2) the efficacy of NIST traceable TLD for end-to-end v...

Towards Optimal Target Dose Conformity and Dose Drop-Off: Evaluation of a New Optimization Approach for Biology-Guided Radiotherapy Treatment Planning

Authors: Grant Gibbard, Chunhui Han, An Liu

Affiliation: RefleXion Medical, Department of Radiation Oncology, City of Hope National Medical Center

Abstract Preview: Purpose: To evaluate the efficacy of a new approach to streamline treatment planning for biology-guided radiotherapy (BgRT) of fluorodeoxyglucose (FDG)-avid bony lesions on a BgRT machine with real-ti...

Ukan Architecture for Voxel-Level Dose Prediction in Radiotherapy

Authors: Lu Jiang, 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:
Conventional radiotherapy treatment planning is guided by a set of generic objectives that are unspecific to patient anatomy. Treatment planning thus heavily relies on the planner’s experi...

Ultra-Sparse-View Cone-Beam CT Reconstruction Based Strictly-Structure-Preserved Deep Neural Network in Image-Guided Radiation Therapy

Authors: Guangjun Li, Ying Song, Huanan Tang, Tianxiong Wu, Qiuyi Ye, Wei Zhang

Affiliation: West China Second Hospital of Sichuan University, United Imaging Healthcare, West China Hospital of Sichuan University

Abstract Preview: Purpose:
To propose a general low-dose reconstruction model for ultra-sparse-view cone-beam CT (CBCT) and evaluate its clinical application in improving image quality and reducing radiation dose fo...

Water-Equivalent Thickness Mapping (WET-MAP) – a Potential Alternative to 4D Robust Optimization for Motion Management in Proton Treatment Planning

Authors: Duncan Henry Bohannon, Pretesh Patel, Sibo Tian, Yinan Wang, Xiaofeng Yang, Ahmal Jawad Zafar, Jun Zhou

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose:
4D robust optimization, incorporating additional images (e.g., maximum inhale/exhale phases), is commonly used to account for target motion in proton treatment planning. However, the incre...