Radiation Medicine Commons^™

Perceptions Of Radiology Residency Staffing Models Across Years Of Training, Alex Zhang, Alexander Swantek, Adela Pouzar, Sayf Al-Katib

Posters

Case staffing is the primary method by which radiology residencies teach at the workstation. Despite this, the styles and methods for how staffing is performed have not yet been comprehensively described. Understanding these models and evaluating resident perspectives can inform best practices and enhance radiology education.

Automated Analysis Of Radiation Oncology Incident Reports Using Large Language Models, Nathan A. Dobranski

LSU Master's Theses

Patient safety incident reporting in radiation oncology requires expert analysis that is time-intensive and subject to variability. This thesis presents the development and technical validation of a locally deployed large language model (LLM) system for automated incident report analysis across multiple cancer centers. The system was designed for automated summarization and taxonomy assignment of Radiation Oncology Incident Learning System (RO-ILS) reports, operating entirely on local infrastructure to preserve patient privacy. A two-round, multi-rater evaluation methodology was employed, incorporating 600 total expert evaluations from two academic cancer centers. Round 1 established baseline performance using Mistral 7B and Mixtral 8x7B models with …

Influence Of Background Music On Proton Dose Monitors, Julia Colangeli, Rachel Felder, Nicole Geer, Favour Ihenwe, Shermineh Roodi, Sandra John Baptiste

Research Methods Poster Session 2026

This study examines the effects of background music, particularly varying bass frequencies, on dose monitor accuracy in proton therapy using the Hitachi PROBEAT-FR proton accelerator.

Reirradiation Treatment Effects In The Clinic (Retec) Proposal - Proof Of Concept Based On Spinal Cord Dose Tolerance For Reirradiation With Stereotactic Body Radiotherapy, Jimm Grimm, Anand Mahadevan, Olusola Obayomi-Davies, Scott G. Soltys, Arjun Sahgal, Kristin J. Redmond, Michael T. Milano, Wolfgang A. Tomé, Kenneth Brooks, Scott Dodd, John Austin Vargo, Gopal Subedi, Jinyu Xue, Bisher Ebid, Felix Ehret, Byung-Han Andrew Rhieu, Christoph Fürweger, Rachel Grimm, Alexander Muacevic, Vitali Moiseenko, Shalom Kalnicki, Mark Mclaughlin, Lawrence R. Kleinberg, John R. Adler, Iris C. Gibbs

College of Health Professions Faculty Papers

BACKGROUND: Since the inception of spinal radiosurgery decades ago, the factors influencing spinal cord recovery have remained unclear. Elucidating these factors would aid in reirradiation planning and delivery. We describe modeling reirradiation normal tissue complication probabilities (NTCP) from compiled published data, akin to the collaborative Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) and High Dose per Fraction, Hypofractionated Treatment Effects in the Clinic (HyTEC) projects.

PURPOSE: Simple dose-time recovery factors for the spinal cord serve as a basis to propose the Reirradiation Treatment Effects in the Clinic (ReTEC) project. ReTEC aims to define human organ recovery factors …

Predicting Ventilation From Single Breathing Phase Non-Contrast Ct Using Swin Transformers, Yi-Kuan Liu, Hsu-Ting Kuo, Alaa Melek, Richard Castillo, Yevgeniy Vinogradskiy, Lili Zhao, Girish Nair, Edward Castillo

Department of Radiation Oncology Faculty Papers

BACKGROUND: Pulmonary ventilation imaging enables functional avoidance radiotherapy treatment plans by quantifying regional lung function. However, current clinical standards, such as 99𝑚Tc-based single-photon emission computed tomography (SPECT), rely on radioactive tracers, which can introduce imaging deposition artifacts. CT ventilation imaging (CTVI) methods based on both physical models and deep learning approaches currently require multiple CT images as input, such as the inhale/exhale phases of a 4DCT. While the theoretical foundation of physics-based CTVI is built on multi-phase information, the feasibility of single-phase deep learning CTV models has not been determined.

PURPOSE: While deep learning methods have predicted SPECT ventilation from …

Computed Tomography For Four-Dimensional Dose Calculation: Effect Of Detector Array Length, Inhwan Yeo, Qianyi Xu

Department of Radiation Oncology Faculty Papers

PURPOSE: Four-dimensional computed tomography (4DCT) is susceptible to a geometrical error when respiration changes upon patient shift. 4DCT using 16-cm detector arrays, not needing the shift, has been shown to improve geometrical accuracy, compared with a conventional 4DCT (4-cm array), albeit with some Hounsfield unit discrepancies. The 4DCTs were validated for 4D planning.

MATERIALS AND METHODS: A lung-mimicking phantom containing a spherical target with ten respiratory traces and three tumor-shaped targets with their traces was respectively imaged when, to each of the ten-positions/phases, the lung was moved (1) step-wisely by helical scan at each movement (ground truth; 4DCT_GT), …

Prescription Tradeoff Decision Support For Pancreas Stereotactic Body Radiation Therapy: From Templates To Artificial Intelligence Models, Yibo Xie, Manisha Palta, Ruilin Li, Wentao Wang, Qiuwen Wu, Yaorong Ge, Q. Jackie Wu, Yang Sheng

Department of Radiation Oncology Faculty Papers

Objective: To develop an artificial intelligence (AI) driven plan tradeoff decision making assistant for radiation oncologists. Methods: A user interface (UI) was developed to integrate the assistant with the treatment planning system to facilitate prescription decision process. The assistant is powered by a machine learning core which was trained to learn the balance between planning target volume (PTV) coverage and organs-at-risk (OAR) sparing. A group of 98 pancreatic stereotactic body radiation therapy (SBRT) cases were retrospectively included for this study. The clinical plan's PTV coverage was compared against the model predicted value. A 10-fold cross validation was performed for all …

A Mitochondrial Plasma Proteomic Signature Identifies Metastatic Chromophobe Renal Cell Carcinoma, Clara Steiner, Tiegang Han, Steven Safi, Wafaa Bzeih, Hadi Mansour, Eddy Saad, Jessica F. Williams, Vinay K. Giri, Liliana Ascione, Yehonatan Elon, Adam P. Dicker, Yan Tang, Toni K. Choueiri, Elizabeth P. Henske, Wenxin Xu

Department of Radiation Oncology Faculty Papers

BACKGROUND: Chromophobe renal cell carcinoma (ChRCC) is characterized by the accumulation of abnormal mitochondria, a high rate of mitochondrial DNA (mtDNA) mutations, and altered oxidative metabolism. There are no existing circulating biomarkers to distinguish metastatic ChRCC from clear cell renal cell carcinoma (ccRCC).

METHODS: High-throughput plasma proteomic profiling using the SomaScan platform was performed in 18 ChRCC (including 16 metastatic ChRCC) and 197 metastatic ccRCC patients. Data were harmonized to generate a unified 7K-protein matrix.

RESULTS: Differential expression analysis was performed using limma (version 3.62.2). Of 7272 quantified human plasma proteins, 209 were differentially expressed between ChRCC and ccRCC. Upregulated …

S6k1 Modulates Stat3 Activation To Promote Resistance To Radiotherapy In Lung Cancer, Ali Calderon-Aparicio, Noelle Francois, Tyler Grenda, Shan Xu, Olugbenga Okusanya, Jun He, Nicole L Simone

Department of Radiation Oncology Faculty Papers

Radiotherapy is a mainstay in the management of locally advanced lung cancer; however, intrinsic and acquired radioresistance contribute to poor prognosis. S6K1, a serine/threonine kinase, regulates cell growth, protein synthesis, and survival, and is increased in tumors, which is linked to enhanced survival under therapeutic stress, including radiation. The mechanisms, however, are not fully understood. This study investigates the role of S6K1 in lung cancer radioresistance and the mechanisms involved. Intrinsic radioresistance in lung cancer cells was associated with increased S6K1 activation. Pharmacologic inhibition or genetic deletion of S6K1 enhanced radiosensitivity both in vitro and in vivo, highlighting the therapeutic …

A Minimally Invasive Palliative Approach Using Radiofrequency Ablation And Cementoplasty In A Painful Metastatic Acetabular Lesion, Liliya S. Agarkov, Korinne Diss, Garrett C. Schneider

Advances in Clinical Medical Research and Healthcare Delivery

Up to 75% of patients with advanced metastatic disease experience excruciating pain that affects their daily life. We elaborate on a case of a 63-year-old male with Stage IV squamous cell lung carcinoma with advanced osseous metastatic lesions who presented with symptoms of ambulatory dysfunction due to a lesion in the right acetabulum. This case report demonstrates how radiofrequency ablation can offer pain relief through meticulous ablation of a metastatic lesion without the necessity and negative side effects of external beam radiation.

Evaluation Of The Intempo Path Set For Cyberknife Prostate And Lung Sbrt: A Single-Institution Experience, Yingcui Jia, Lei Fu, Shari Rudoler, Eric Gressen, Yevgeniy Vinogradskiy, Qianyi Xu

Department of Radiation Oncology Faculty Papers

PURPOSE: The InTempo adaptive imaging system is an important component of the Accuray CyberKnife System, designed to enhance the system's ability to track and correct tumor motion during treatment. However, a limitation of this feature is the reduction of available nodes for treatment planning. The impact of a reduced number of nodes on the quality of InTempo-based treatment plans has not previously been evaluated. This retrospective study aims to compare the dosimetry of CyberKnife plans with and without The InTempo path set for both prostate and lung stereotactic body radiotherapy (SBRT).

METHODS: This study included twelve consecutive prostate SBRT patients …

Comparing Educational Pathways For Denturists To Become Maxillofacial Prosthetic Specialists In The Us And The Uk, Minseok Kim

Oral Health

Abstract

In the absence of formal training, licensure, and professionalism, this scientific literature review will seek to include denturists in the American maxillofacial prosthetics industry. Denturists are oral health professionals who perform oral examination, design, manufacture, and place removable oral prostheses. In other regions of the world, they are also known as clinical dental technologists and dental prosthetists. This practice is not widespread in the US. The review can also be assessed on the model mediated by PRISMA, which is concentrated on the experiences of international education in the United Kingdom, Canada, and Australia, where the concentration further revolves around …

Intralabyrinthine Mri Flair As A Predictive Marker For Hearing Loss In Vestibular Schwannomas In Neurofibromatosis Type 2, Robert L. Walker, Maxwell T. Laws, H. Jeffrey Kim, Christopher Zalewski, Ashok Asthagiri, Sruthi Ranganathan, Christina Hayes, John D. Heiss, John A. Butman, Prashant Chittiboina

Department of Radiation Oncology Faculty Papers

BACKGROUND AND OBJECTIVES: The onset of hearing loss due to vestibular schwannomas (VS) is inevitable but does not correlate with the size of the tumor. In patients with Neurofibromatosis Type 2 (NF2) and VS, we previously found an association between pre-contrast fluid-attenuated inversion recovery magnetic resonance imaging (FLAIR MRI) signal in the labyrinth and hearing loss. Here, we asked whether FLAIR hyper-intensity could serve as a predictive biomarker for hearing loss in NF2 patients with VS.

METHODS: A prospective longitudinal study (NCT00598351) of NF2 enrolled 168 subjects between 2008 and 2013. This study included 34 patients with small VS (total …

Knowledge Based Automated Planning For Non-Coplanar Vmat Stereotactic Radiosurgery In Ocular Malignancies, Chase Cochran, Shane Mccarthy, William St. Clair, Damodar Pokhrel

Radiation Medicine Faculty Publications

Background and Purpose: Stereotactic radiosurgery/radiotherapy (SRS/SRT) has emerged as a less invasive alternative to enucleation in the management of ocular malignancies. SRS/SRT planning is time-consuming, complex, and the plan quality depends on the experience of the treatment planner. We demonstrate the use of RapidPlan modeling in conjunction with HyperArc for the treatment of ocular diseases to improve planning efficiency, consistency, and quality.

Materials and Methods: A HyperArc-based RapidPlan (HARP) model was iteratively trained on 80 patient datasets that simulated ocular malignancies. Twenty additional patient datasets were reserved for model testing and comparison with manual plans. Each testing dataset was both …

Designing Theranostic Radiopharmaceutical Trials For Uterine Cervix Cancer, Denise Fabian, Molly E. Buffington, Brianna S. Cagle, Steve M. Keefe, Michael K. Schultz, Charles A. Kunos

Radiation Medicine Faculty Publications

Designing and interpreting early phase trials of theranostic radiopharmaceuticals remains challenging because it is difficult to isolate effective levels of activity in enriched patient populations that would be worth following up in later-phase development. This study explores the known challenges and emerging opportunities for clinical research on patients with uterine cervical cancer. We identified eight randomized combination trials for advanced-stage uterine cervix cancer that were activated between 2011 and 2022 and tabulated their results to determine whether combinations were better than individual constituents and which suitable study population is best situated for the study of a new theranostic agent. In …

Simulation Training In Radiation Oncology, Michael C. Schell, Andrew W. Beavis, Derek W. Brown, Michael Milano, Michael O'Neill, Yan Yu, Daniel C. Pavord, Peter Dunscombe

Department of Radiation Oncology Faculty Papers

Simulation training can be used in the design of new processes or, more commonly, to train and re-train healthcare personnel in standard processes. Simulation training is one avenue to making radiation oncology a high reliability health care intervention. In this paper, we explore the relevance of simulation training to the provision of high-quality and safe radiation oncology practice against the background of simulation training conducted in high reliability industries. The use of simulation training in healthcare, as well as specific examples in radiation oncology, is reviewed. An outline of the steps for developing a simulation training program is provided. Simulation …

Clinical Test Cases For Commissioning, Qa, And Benchmarking Of Model-Based Dose Calculation Algorithms In 1⁹2ir Hdr Gynecologic Tandem And Ring Brachytherapy, Vasiliki Peppa, Maude Robitaille, Fatemeh Akbari, Shirin Enger, Rowan Thomson, Firas Mourtada, Gabriel Fonseca

Department of Radiation Oncology Faculty Papers

PURPOSE: To develop clinically relevant test cases for commissioning Model-Based Dose Calculation Algorithms (MBDCAs) for ¹⁹²Ir High Dose Rate (HDR) gynecologic brachytherapy following the workflow proposed by the TG-186 report and the WGDCAB report 372.

ACQUISITION AND VALIDATION METHODS: Two cervical cancer intracavitary HDR brachytherapy models were developed based on a real patient, using either uniformly structured regions or realistic segmentation. The patient's computed tomography (CT) images were processed, converted to a series of digital imaging and communications in medicine (DICOM) CT images, and imported into two treatment planning systems (TPSs), the Oncentra Brachy and BrachyVision. The original segmentation …

Leveraging The Clinical Potential Of Spatially Fractionated Radiotherapy For Enhanced Therapeutic Impact & Rapid Management Of Large And Unresectable Tumors, Joshua Misa

Theses and Dissertations--Radiation Medicine

Annually, about two million people are diagnosed with cancer in the United States alone, with nearly half receiving radiation therapy during their course of treatment. Advances in radiation therapy focuses on widening the therapeutic window by maximizing the tumor local control while minimizing normal tissue toxicities. Since the 1950s, spatially fractionated radiotherapy (SFRT) has been a niche treatment technique for treating large, unresectable tumors while sparing the skin tissue. Unlike conventional radiation therapy, which delivers a uniform dose to the tumor, SFRT utilizes an alternating pattern of high- and low-dose irradiation regions. However, significant challenges and knowledge gaps remain, most …

Mtl_Tx: A Multi-Task Transformer Model For Improved Radiation Time-Series Estimation, Hongfang Zhang, Adam Stavola, Hal Ferguson, Bence Budavari, Hongyi Wu, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Controlling radiation doses at potential radioactive facilities is critical to ensuring the safety of both personnel and the public. At the Thomas Jefferson National Accelerator Facility (JLab), multiple sensors are deployed around the three experimental halls to monitor key parameters, including single-beam current, energy levels, current leakage, and radiation values during accelerator operations. In this study, we developed a Multi-task Transformer model, MTL_TX, to accurately estimate radiation doses at sensor locations based on historical data, with the aim of enhancing safety in accelerator facilities and surrounding public areas. To improve estimation accuracy, we integrated two innovative components into the proposed …

Yk-4-250 Mitigates Gastrointestinal Radiation Syndrome And Promotes Overall Survival Following Partial Body Radiation Injury, Vidya P. Kumar, Yali Kong, Kan Wang, Asa R. Britton-Jenkins, Stanton Dulan, Landon L. Moore, Debra Saunders, Randal May, Rheal Towner, Sanchita P. Ghosh, Courtney W. Houchen, Milton L. Brown

Department of Biomedical and Translational Sciences Faculty Publications

Acute gastrointestinal radiation syndrome (GI-ARS) is a significant health threat following high-dose ionizing radiation (IR) exposure, leading to severe morbidity and mortality. The syndrome is characterized by gastrointestinal tissue damage caused by angiotensin II (Ang II) and reactive oxygen species (ROS), resulting in impaired GI function, systemic bacteremia, multi-organ failure, and eventual death. Dysregulation of the renin-angiotensin system (RAS) via Ang II exacerbates ROS production through activation of the Angiotensin II type 1 receptor (AT1R). This underscores the need for agents capable of both scavenging ROS and inhibiting AT1R activity. To address this, we developed YK-4-250, a Tempol-conjugated angiotensin receptor …