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Results for "cost effectiveness": 38 found

A Causal Machine Learning Analysis of Dosimetric and Clinical Predictors of Osteoradionecrosis in Head and Neck Cancer Radiotherapy

Authors: Jingyuan Chen, Sheng Li, Tianming Liu, Wei Liu, Zhengliang Liu, Zhong Liu, Daniel Ma, Samir H. Patel, Guangya Wang, Yunze Yang

Affiliation: University of Miami, Mayo Clinic, School of Data Science, University of Virginia, School of Computing, University of Georgia, Department of Radiation Oncology, Mayo Clinic, Institute of Western China Economic Research, Southwestern University of Finance and Economics

Abstract Preview: Purpose:
Traditional patient outcome analyses relied heavily on conventional statistical models that primarily elucidate correlation rather than causal relationships. In this study, we aim to ident...

A Predictive Tool for Optimizing Treatment System Allocation in Hypofractionated Whole-Breast Radiotherapy

Authors: Zhenzhen Dai, Anthony J. Doemer, Ryan Hall, Kenneth Levin, Bing Luo, Benjamin Movsas, Karen C. Snyder, Kundan S Thind, Eleanor Walker

Affiliation: Henry Ford Health, HFHS

Abstract Preview: Purpose: To investigate the feasibility of a predictive tool for efficient allocation of hypofractionated whole-breast irradiation patients between Varian Truebeam and Ethos systems.
Methods: A ful...

AI Implementation in Radiation Oncology Should be Strictly Regulated

Authors: Mu-Han Lin

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: The rapid expansion of AI in Radiation Oncology is reshaping patient care, treatment planning, and institutional investments. Yet, with no standardized framework for evaluating cost-effectiveness, saf...

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 ...

An Efficient Workflow for X-Ray Imaging-Based IGRT/ART

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...

Analytical Approach to Calculate Normal Tissue Complication Probability and Tumor Control Probability for Ultra-High Dose Rate Radiation (FLASH) Based on Linear-Quadratic Model

Authors: Santosh K. Agarwalla, Nrusingh C. Biswal, Shree C, Harikrishnan Suresh Kumar, Jajati K. Nayak, Prema P., Sarath K S, Tamil Selvan S, Hem D. Shukla

Affiliation: Variable Energy Cyclotron Centre, Department of Physics, Fakir Mohan University, Department of Radiation Oncology, University of Maryland School of Medicine, Department of Sciences, Amrita Vishwa Vidyapeetham

Abstract Preview: Purpose: The rapid oxygen depletion in tissues during irradiation is the most accepted mechanism of the FLASH effect. However, the Normal Tissue Complication Probability (NTCP) and Tumor Control Proba...

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 ...

Automated Classification of Treatment Sites from Physician Consult Notes Using a Large Language Model

Authors: Klea Hoxha, Dylan P. O'Connell, Ricky R Savjani

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, UCLA Radiation Oncology

Abstract Preview: Purpose: Ambiguities in physician simulation orders lead to workflow disruptions during CT simulation. Often, information that could provide
helpful context to simulation therapists and planners is...

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...

CT-Free PET Imaging: Synthetic CT Generation for Efficient and Accurate PET-Based 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:
PET is used in radiotherapy workflows for accurate target delineation. However, a separate CT scan is typically required for attenuation correction in PET imaging and for registering PET-d...

Comparison of Biological Effectiveness of COMS Eye Plaques with I-125 and Pd-103 Sources Using Equivalent Uniform RBE-Weighted Dose

Authors: Jonathan J. Chen, Alexei V. Chvetsov, Yulun He, Ramesh Rengan, Andrew Stacey, Kent Wallner

Affiliation: University of Washington and Fred Hutchinson Cancer Center, University of Washington

Abstract Preview: Purpose: To show that the RBE of low-energy photon sources used in COMS (Collaborative Ocular Melanoma Study) eye plaques compensates for protracted irradiation and attenuation of low-energy photons i...

Demystifying Magnetic Resonance Imaging: Targeted Educational Initiatives for Medical Physicists in Türkiye and Preclinical Medical Students in the United States

Authors: Samuel A. Einstein, Jesutofunmi Fajemisin, Evren O. Göksel, Görkem O. Güngör, Marthony Robins, Travis C. Salzillo, Charles R. Thomas, Turgay Toksay, Joseph Weygand, Yue Yan

Affiliation: Acibadem MAA University, Department of Radiation Oncology and Applied Science, Dartmouth Health, Dartmouth College, Moffitt Cancer Center, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Penn State College of Medicine, Bursa Ali Osman Sönmez Oncology Hospital

Abstract Preview: Purpose: Magnetic resonance imaging (MRI) is an indispensable clinical tool, offering unparalleled soft tissue contrast critical for diagnosing and managing a wide range of conditions. However, its co...

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...

Development and Validation of Patient-Specific 3D-Printed Electron Applicators for Precision Radiotherapy

Authors: Md. Jobairul Islam

Affiliation: Department of Radiation Oncology, Labaid Cancer Hospital and Super Speciality Centre

Abstract Preview: Purpose: Electron radiotherapy is an effective treatment for superficial tumors but requires field-shaping devices like electron applicators, which are labor-intensive to produce. This study aimed to ...

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...

Empowering Young Minds through STEM Education: Engaging High Schoolers in Ghana through Medical Physics.

Authors: Jessica Fagerstrom, Juliana Ama Kplorfia, Abigail N.M. Quaye, Mercy T Schandorf, Bishwambhar Sengupta, Peniel T Twum, Afua A. Yorke

Affiliation: University of Ghana Medical Center, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Medical Equipment and Ancillary Services, Girls Excellence Movement, Global Communities

Abstract Preview: Purpose: To empower and promote diversity in Science, Technology, Engineering, and Mathematics (STEM), an educational presentation and hands-on session were organized to raise awareness of STEM career...

Enhancing Adaptive Radiotherapy Segmentation with a 3D Unet Framework and Prior Fraction Information

Authors: Jennifer L. Dolan, Chengyin Li, Parag Parikh, Doris N. Rusu, Kundan S Thind

Affiliation: Henry Ford Health, Cedars-Sinai Medical Center

Abstract Preview: Purpose: The time and resource demands of online Adaptive Radiation Therapy (ART) can limit its widespread clinical adoption and potentially impact patient throughput. To address this, we developed a ...

Enhancing Radiation Therapy Precision and Safety: The Role of Cherenkov Imaging in Clinical Practice.

Authors: Adi Robinson, Michael J. Tallhamer

Affiliation: Centura Health, AdventHealth Orlando

Abstract Preview: Purpose: This study aims to evaluate the integration of Cherenkov imaging into radiation therapy practices, focusing on its utility in enhancing treatment precision, patient safety, and clinical decis...

Evaluating Normal Tissue Toxicity Following Pulsed Low Dose Rate Radiotherapy

Authors: Shahabeddin mostafanazhad Aslmarand, Lili Chen, Dusica Cvetkovic, Troy A. Dos Santos, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose:
Pulsed low-dose-rate radiotherapy (PLDR) has been proposed to reduce normal tissue toxicity while maintaining tumor control comparable to conventional radiotherapy (CRT). This study assess...

Evaluating the Impact of Contour Variability on the Effectiveness of Deep Learning Features in Head and Neck Imaging

Authors: Hania A. Al-Hallaq, Xuxin Chen, Anees H. Dhabaan, Elahheh (Ella) Salari, Xiaofeng Yang

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

Abstract Preview: Purpose:
Radiomics image analysis could lead to the development of predictive signatures and personalized radiotherapy treatments. However, variations in delineation are known to affect hand-crafte...

Extending Chronorepair: A Computational Model of the Effects of Radiotherapy in Cells

Authors: Alejandro Bertolet, Jose Antonio Lopez-Valverde, Victor V. Onecha, Daniel Puerta

Affiliation: Dana Farber Cancer Institute/Brigham and Women's Hospital, Departamento de Física Atómica, Molecular y Nuclear, Universidad de Granada, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Besides its superior dose conformity, proton therapy induces greater damage to tissue than conventional radiotherapies. This increased damage is usually quantified through the concept of rela...

Financial Viability Analysis of on-Table Simulation Enabled Halcyon Using Time Driven Activity-Based Costing

Authors: Xinyuan Chen, Geoffrey D. Hugo, Alex T. Price, Pamela Samson, Tianyu Zhao

Affiliation: University Hospitals Seidman Cancer Center, University of South Florida, Washington University School of Medicine, WashU Medicine

Abstract Preview: Purpose: This study evaluates the financial viability of on-table simulation (CBCTp) enabled Halcyon system in radiation therapy. By leveraging Time-Driven Activity-Based Costing (TDABC), the analysis...

Financial Viability of on-Table Simulation Enabled Halcyon System Using Time Driven Activity-Based Costing Analysis.

Authors: Xinyuan Chen

Affiliation: Washington University School of Medicine

Abstract Preview: Purpose: This study evaluates the financial viability of on-table simulation (CBCTp) enabled Halcyon system in radiation therapy. By leveraging Time-Driven Activity-Based Costing (TDABC), the analysis...

Improvements from Monte Carlo Simulations over Pencil Beam Algorithms for Normal Tissue Dose Reconstruction in Proton Therapy Patients

Authors: Amy Berrington de Gonzalez, Keith T Griffin, Jae Won Jung, Cari M Kitahara, Choonik Lee, Choonsik Lee, Aimee L McNamara, Matthew Mille, Harald Paganetti, Sergio Morato Rafet, Jan PO Schuemann, Jungwook Shin, Torunn I Yock

Affiliation: University of Michigan, East Carolina University, Massachusetts General Hospital, National Cancer Institute, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Massachusetts General Hospital and Harvard Medical School, Institute of Cancer Research

Abstract Preview: Purpose: Radiotherapy dose reconstruction enables retrospective epidemiological studies that connect late health effects to the organ-absorbed radiation doses received during treatment. Though clinica...

Integrating Knowledge-Based Planning with Ethos 2.0 for High-Quality Online Adaptive Lung SABR

Authors: Shahed Badiyan, Chien-Yi Liao, Mu-Han Lin, Dan Nguyen, Justin D. Visak, Hui Ju Wang, Brien Timothy Washington, Kenneth Westover, Yuanyuan Zhang

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

Abstract Preview: Purpose: Knowledge-based planning (KBP) plays a crucial role in improving treatment plans by leveraging previous clinical data to guide new cases. KBP is applied to the Ethos 2.0 Intelligent Optimizat...

Low-Cost Image Quality Assurance Phantom Customization Via Additive Manufacturing

Authors: Sarah E. Holler, Daniel Johnson

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

Abstract Preview: Purpose: As the technological availability of modern clinical infrastructure increases in resource-restricted regions of the world, the needs to maintain quality standards of practice need not be hamp...

Memory-Efficient Deep Learning for Volumetric Cone-Beam CT Image Reconstruction

Authors: Ziqi Gao, Lei Xing, Siqi Ye, S. Kevin Zhou

Affiliation: Department of Radiation Oncology, Stanford University, University of Science and Technology of China (USTC)

Abstract Preview: Purpose: To address the challenge of high memory usage in volumetric cone-beam CT (CBCT) imaging, we propose a method that combines joint reconstruction and super-resolution for sparsely sampled CBCT ...

Multi-Omics-Based Prognostic Prediction for Locally Advanced Hypopharyngeal Cancer Treated with Postoperative Chemoradiotherapy: A Dual-Center Study

Authors: Sixue Dong, Chaosu Hu, Weigang Hu, Xiaomin Ou, Jiazhou Wang, Zhen Zhang

Affiliation: Fudan University Shanghai Cancer Center

Abstract Preview: Purpose:
This study aimed to predict the PFS of the patients who were diagnosed with hypopharyngeal cancer and received postoperative chemoradiotherapy by using multi-omics which integrating clinic...

Nnae: Automating Anomaly Detection and Quality Assurance in Medical Image Segmentation

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:
Deep learning-based automatic medical image segmentation is increasingly employed in clinical practice, significantly reducing manual workload. However, verifying segmentation results rema...

Online Active Learning Strategies for Global Medical Physics Education: A Scoping Review

Authors: Mary Gronberg, Kelly Kisling, Ana Maria Marques da Silva

Affiliation: University of California, San Diego, The University of Texas Southwestern Medical Center, Pontifical Catholic University of Rio Grande do Sul

Abstract Preview: Purpose: To evaluate the current status of online teaching in medical physics and identify effective active learning strategies for global medical physics education.
Methods: A scoping review was c...

Optimizing Calibration Radioisotope and Activity for Dose Calibrator Linearity Testing in Radiopharmaceutical Therapy and Theranostic Facilities

Authors: Kimyli Lemieux, Xingyu Nie

Affiliation: University of Kentucky/UK HealthCare

Abstract Preview: Purpose: To optimize the selection of calibration radioisotope and its activity for dose calibrator (DC) linearity testing, adhering to ALARA (As Low As Reasonably Achievable) principles while conside...

Preliminary Evaluation of a Gpτ-Based Medical Physics Education Tool

Authors: Ramesh Boggula, Jay W. Burmeister, Michael Joiner

Affiliation: Wayne State University, Karmanos Cancer Center, Gershenson ROC, Wayne State University School of Medicine

Abstract Preview: Purpose: Recent advances in large language models such as ChatGPT offer new possibilities for supplementing traditional teaching methods. In this study, we developed a custom GPT-powered tool freely a...

Prostate Brachytherapy Training – a Virtual Approach

Authors: Fahad Alam, Douglas A Hoover, Raffi Karshafian, Andrew Loblaw, Lucas Mendez, Lucas Mendez, Gerard Morton, Humza Nusrat, Moti R. Paudel, Mackenzie Smith, Amandeep Tagger, Anton Varlukhin

Affiliation: Odette Cancer Center, Sunnybrook Health Sciences Center, Department of Anesthesiology, Temerty Medicine, University of Toronto, Department of Physics, Toronto Metropolitan University, Department of Radiation Oncology, Temerty Medicine, University of Toronto, Department of Radiation Oncology, London Health Sciences Centre

Abstract Preview: Purpose: Prostate brachytherapy utilization has declined, due in part to limitations seen with in-person training including time and space constraints in the operating room. Virtual reality addresses ...

Reasoning-Driven Prompts Improve EHR-Based Outcome Prediction and Clinical Interpretability in Large Language Models

Authors: Shreyas Anil, Jason Chan, Arushi Gulati, Yannet Interian, Hui Lin, Benedict Neo, Andrea Park, Bhumika Srinivas

Affiliation: Department of Otolaryngology Head and Neck Surgery, University of California San Francisco, Department of Data Science, University of San Francisco, Department of Radiation Oncology, University of California San Francisco, University of San Francisco

Abstract Preview: Purpose: As Large Language Models (LLMs) continue to evolve, their ability to analyze Electronic Health Record (EHR) notes for clinical decision support expands. Chain of Thought (COT) reasoning, an e...

Reducing Variable Rbe in Oars for HN, Breast, and Prostate Proton Therapy Using a Scripted Spot-Delete Technique

Authors: Laura Buchanan, Samantha G. Hedrick, Stephen L. Mahan, Isabella Pfeiffer, Chester R. Ramsey

Affiliation: Thompson Proton Center

Abstract Preview: Purpose: Linear energy transfer (LET) and variable relative biological effectiveness (RBE) evaluation are important steps in the future of proton therapy, moving beyond RBE=1.1 for all treatment plann...

Revealing Unseen Risks: Hands-on Technologist Education to Prevent MRI Incidents Using Ferromagnetic Detecting Wands

Authors: Chris Beasley, Ngara Linda Bird, Flora Ivanova, Erin B. Macdonald, Lauren M. Neldner, Beth Reed, Scott H. Robertson

Affiliation: School of Medicine, Duke University, Duke University, Duke University Health System

Abstract Preview: Purpose: To develop a hands-on, data-driven educational program to improve MRI technologists' understanding and effective use of ferromagnetic detecting (FMD) wands.
Methods: A 30-minute interactiv...

The Topas Monte Carlo Framework – Status and Outlook after 15 Years of Development

Authors: Alejandro Bertolet, Jorge Naoki Dominguez Kondo, Bruce A. Faddegon, Thongchai Masilela, Isaac Meyer, Victor V. Onecha, Harald Paganetti, Jose A. Ramos-Mendez, Jan PO Schuemann, Wook-Geun Shin

Affiliation: University of California San Francisco, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital

Abstract Preview: Purpose: To present the results of 15 years of developments of the TOPAS TOol for PArticle Simulation framework, and to highlight recent and new developments.

Methods: Fundamental understanding...

Using a Generative Adversarial Network (GAN) for Source Particle Generation in Monte Carlo Radiation Therapy Simulations

Authors: Jiankui Yuan, Dandan Zheng, Tingliang Zhuang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, University of Rochester, Varian Medical Systems, Advanced Oncology Solutions

Abstract Preview: Purpose: In Monte Carlo (MC) radiation therapy dose calculations, latent variance exists when directly applying phase-space files (PSF) with a finite number of source particles, while the latter is pr...