Radiation Medicine Commons^™

Software Tools And Simulation Exercises For Radiation Oncology Cyber-Attack Resiliency, Yevgeniy Vinogradskiy, James Lamb

Department of Radiation Oncology Faculty Papers

This review summarizes the rationale for radiation oncology cyberattack simulation exercises, recent results from multi-institutional resiliency drills, and the landscape of software tools developed to help clinics resume radiotherapy treatments rapidly and safely during a cyberattack or other major clinical software outage. Simulation exercises using record-and-verify (R&V) downtime and File Mode treatment delivery have identified failure modes not apparent in theoretical planning alone, including risks related to treatment documentation, repeated fractions, patient setup, and missed safety checks. Available software tools emphasize insulated backup of DICOM-format planning data and clinical notes, treatment-state dashboards, File Mode treatments, redundant R&V installations, and human-readable …

Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta

Dissertations and Theses (Open Access)

In liver-directed radiotherapy (RT), liver regions receiving higher doses typically undergo atrophy while contralateral/adjacent lower-dose regions may exhibit compensatory hypertrophy through regeneration of healthy tissue. Optimizing the RT plan to promote regional hypertrophy while minimizing the risk of developing atrophy has the potential to enhance post-RT liver function and long-term survivorship. However, current clinical practice largely relies on global liver dose-volume metrics during RT-planning, which may obscure favorable dose-response correlation and limit actionable guidance for clinicians. Therefore, we hypothesized that post-RT regional liver response is governed by a combination of region-specific dose-volume and patient clinical features, and that these responses …

Feasibility Evaluation Of Tumor Treating Fields For Brainstem Gliomas, Anthony Chen, Ryan Shah, William Shi, Noa Urman, Nadav Shapira, Nicholas Avgeropoulos, Patrick Conlon, Neil Mookerjee, Wenyin Shi

Department of Radiation Oncology Faculty Papers

PURPOSE: Tumor treating fields (TTFields) are FDA-approved for supratentorial glioblastoma, but feasibility in infratentorial tumors remains poorly defined. This simulation study evaluated TTFields dose in brainstem gliomas using patient-specific modeling with scalp-only transducer arrays.

METHODS: MRI and CT imaging from seven patients with brainstem gliomas were used for TTFields planning with MAXPOINT® (Novocure, Switzerland). Clinical target volume (CTV) was defined as enhancing tumor on T1 post-contrast MRI (Gross tumor volume, GTV) plus a 3 mm peritumoral expansion. The platform optimized scalp-only array layouts, and finite element calculations generated maps of local minimum field intensity (LMiFI, V/cm) and local minimum power …

Long-Term Quality Of Life For Patients With Merkel Cell Carcinoma Receiving Standard-Of-Care Adjuvant Radiation Therapy, Christian Paul D. Denolan, Kelsey N. Nordlund, Aya F. Salem, Devarati Mitra

Summer Research Program Abstracts

No abstract provided.

Blinded, Bias-Controlled Multi-Rater Evaluation Of Human-Versus-Ai Brain Metastasis Segmentation Using A Hybrid Foundation-Model Framework, Yiding Han, Enze Zhu, Mhd Hasan Ai Mekdash, Omar Awad, Piyush Pathak, Shixiao Liang, Daniel Allan Hamstra, Xizhe Zhang, Zaid Ali Siddiqui, Baozhou Sun

Faculty, Staff and Students Publications

Background: Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic radiosurgery planning, and longitudinal assessment. However, manual contouring is time-intensive, limiting clinical scalability, and exhibits substantial inter-observer variability. This variability complicates objective assessment of automated segmentation methods and challenges interpretation of model performance.

Purpose: To address these limitations, we developed TUM-SAM, a hybrid foundation-model framework for fully automated BM segmentation, and introduced a bias-controlled, blinded multi-rater evaluation paradigm to determine whether AI-based BM segmentation has reached expert-level performance and whether AI-generated contours are preferred by human experts under unbiased assessment.

Methods: TUM-SAM integrates nnU-Net-based lesion detection with a …

Fractionated Stereotactic Radiotherapy (Fsrt) For Symptomatic Who Grade 1 Cavernous Sinus Meningiomas: Long-Term Local Control, Clinical Response, And Toxicity Outcomes, Ryan Shah, Shray Jain, Nilanjan Haldar, Lauren A. Holt, Robert Walker, Christopher J Farrell, Md, Debanjan Haldar, James J. Evans, Gregory S. Alexander, Wenyin Shi

Department of Radiation Oncology Faculty Papers

PURPOSE: Cavernous sinus meningiomas represent a significant clinical challenge, given the high prevalence of neurological deficits and limited surgical options. Radiation therapy is often the preferred treatment. This study evaluates the effectiveness of fractionated stereotactic radiation therapy (fSRT) in achieving local control and symptomatic relief in patients with cavernous sinus meningiomas.

METHODS: This is a single-institution retrospective analysis of patients with symptomatic presumed WHO grade 1 cavernous sinus meningiomas treated with fSRT (1.8-2 Gy per fraction). Clinical data were collected by chart review. Kaplan-Meier curves were generated to assess local control. Clinical responses were evaluated for symptom improvement, stability, or …

Folr1-Targeted Actinium-225-Based Alpha-Particle Therapy Eliminates Ovarian Cancer, Neetu Singh, Esther Need, Ayden Berndt, Matthew Goff, Lydia J. Wilson, Firas Mourtada, Feng Guo, Tara Mastren, Taslim Al-Hilal, Anil K. Sood, Amit Maity, Scott C. Miller, Satoshi Minoshima, Shreya Goel, Sixiang Shi

Department of Radiation Oncology Faculty Papers

Despite the advancement in therapies, ovarian cancer treatment is challenging because of poor prognosis and high relapse associated with acquired resistance. Emerging targeted alpha particles, particularly actinium-225 (225Ac), for treating refractory cancers have opened avenues for improved therapeutic options. Here, we describe a successful example of folate receptor 1 (FOLR1)–targeted 225Ac alpha-particle therapy for treatment of ovarian cancer. Longitudinal positron emission tomography imaging demonstrated high tumor-specific uptake of αFOLR1 (anti-FOLR1 antibody) in SKOV3 xenografts. FOLR1-targeted 225Ac demonstrated high therapeutic efficacy, achieving marked tumor regression, 80% survival, and 40% complete tumor elimination. The therapy resulted in tumor-specific double-stranded DNA damage, and …

A Multimodal Artificial Intelligence Model To Guide Use Of Whole-Pelvic Radiation Therapy In Patients With Localized Prostate Cancer: Exploratory Analysis Of Rtog 9413, Mutlay Sayan, Huei-Chung Huang, Erin L. Stewart, Timothy N. Showalter, Adam P. Dicker, George Daniel Grass, Elizabeth M. Gore, Andrew Michael Mcdonald, J. Daniel Pennington, Mark A. Hallman, Igor J. Barani, I-Chow Hsu, Michael Rooney, Stephanie L. Pugh, Paul L. Nguyen, Phuoc T. Tran, Mack Roach Iii

Department of Radiation Oncology Faculty Papers

Background/Objectives: This study explored whether a multimodal artificial intelligence (MMAI) model integrating digitized histopathology and clinical features can identify prostate cancer patients who may benefit from neoadjuvant hormonal therapy (NHT) and whole-pelvic radiotherapy (WPRT). Methods: This secondary analysis of NRG/RTOG 9413 included NHT-treated patients with digitized biopsy slides and clinical data who were not part of the MMAI model optimization. A previously validated MMAI model estimated long-term risk, and Fine-Gray models evaluated interactions between MMAI-derived scores and the radiation field (WPRT vs. prostate-only RT [PORT]) for biochemical failure (BF), chosen over progression-free survival because of extended follow-up and distant metastasis …

A Novel Qa Method For Adaptive Aperture Position Verification Of Proton Therapy System, Shuxin Fan, Tiezhi Zhang, Xiandong Zhao, Winter Green, Baozhou Sun, Tianyu Zhao, Yao Hao

Faculty, Staff and Students Publications

Accurate Adaptive Aperture (AA) leaf positioning is essential for some proton therapy systems to ensure precise dose delivery and patient safety. However, conventional quality assurance (QA) methods can be suboptimal or inefficient for routinely assessing the dynamic nature of AA in the Mevion S250i HYPERSCAN system. This study introduces a novel automated QA method to verify AA positions utilizing a scintillation detector. A specialized QA plan consisting of 7 rectangular fields was generated in the RayStation treatment planning system (TPS) and delivered using the Mevion S250i HYPERSCAN proton therapy system. Dose distributions were measured with an IBA Lynx PT scintillation …

Retrospective Analysis Of A Washu-Based Knowledge-Based Planning (Kbp) Model For Breast And Chest Wall Planning In Guatemala: Compliance With American Society For Radiation Oncology (Astro) 2026 Guidelines, Milton E Ixquiac Cabrera, Erick O Montenegro, Matthew Schmidt, Baozhou Sun, James A Kavanaugh, Taoran Li, Angel Velarde, Vicky De Falla, Francisco Reynoso

Faculty, Staff and Students Publications

Background/purpose

Breast cancer is among the most prevalent malignancies treated at the Liga Nacional Contra el Cáncer (LNCC) in Guatemala, representing a significant proportion of annual radiotherapy cases. Access to high-quality, standardized treatment planning in resource-constrained settings remains a critical challenge. This study evaluates the dosimetric performance of knowledge-based planning (KBP) models adapted from Washington University (WashU) in St. Louis for breast and chest wall radiotherapy at LNCC, validated against a retrospective 2025 clinical cohort, and benchmarked against the ASTRO 2026 Practical Radiation Oncology guidelines.

Materials and methods

A retrospective analysis of 84 treatment plans (40 left, 44 right) for …

Celiac Plexus Radiosurgery For Retroperitoneal Pain In Advanced Cancer: A Pre-Specified Secondary Analysis Of Health-Related Quality Of Life In A Phase Ii Single-Arm Trial, Aisling Barry, Ronen Fluss, Laura Dawson, David Hausner, Michael Buckstein, Talia Golin, Laurence Freedman, Marcin Miszczyk, Dayssy Diazpardo, Artur Aguiar, Dror Limon, Raphael Pfeffer, Moaz Ben-Ayun, Liat Hammer, Ziv Symon, Ofir Morag, Gali Jacobson, Adam Dicker, Jerzy Wydmanski, Camilla Zimmermann, Yaacov Lawrence

Department of Radiation Oncology Faculty Papers

BACKGROUND: Retroperitoneal pain syndrome seen in pancreatic cancer is a major clinical challenge. Celiac plexus radiosurgery, a new palliative technique for retroperitoneal pain syndrome, decreased pain levels in a phase II study. Here Health-Related Quality of Life (HRQOL) outcomes are reported.

METHODS: Evaluable patients, who were enrolled between January 2018 and December 2021, in an international single-arm Phase II ethics-approved study (NCT03323489), were included. The pre-specified secondary endpoint-change in HRQOL from baseline to 3- and 6-weeks post-treatment, was measured by the Functional Assessment of Cancer Therapy - Hepatobiliary (FACT-Hep) version 4 questionnaire. Mean change was deemed clinically significant (CS) if …

Bridging Access Gaps In Radiotherapy: Knowledge-Based Planning In A Resource-Constrained Clinical Setting, Milton E Ixquiac Cabrera, Erick O Montenegro, Matthew Schmidt, Baozhou Sun, James A Kavanaugh, Taoran Li, Angel Velarde, Vicky De Falla, Francisco Reynoso

Faculty, Staff and Students Publications

Background/purpose: Radiotherapy access in low- and middle-income countries (LMICs) is severely limited by shortages of trained personnel, high patient volumes, and large waiting times for manual treatment planning. Knowledge-based planning (KBP) has shown promise in high-income settings, yet its feasibility in resource-constrained environments remains underexplored. This study aimed to evaluate the feasibility of adapting a KBP model developed at a high-income institution for clinical use at Liga Nacional Contra el Cáncer (LNCC) in Guatemala for gynecological radiotherapy planning.

Materials and methods: A RapidPlan KBP model (Varian-Siemens Healthineers, Palo Alto, CA, USA) originally developed at Washington University in St. Louis using …

A Multi-Institutional Epid-Based 3d Dose Reconstruction Model In A Virtual Phantom For Standardized Patient Qa, Benchmarking And Auditing For Stereotactic Radiosurgery, Benjamin Zwan, Emily Searle, Cameron Stanton, Ching-Ling Teng, Seng Boh Lim, Andrew Dipuglia, Richard Popple, Michael Lovelock, Ashley Cullen, Conor K Mcgarry, Victoria Robinson, Sergei Zavgorodni, Baozhou Sun, Xiaodong Zhao, Matthew Schmidt, Juan-Francisco Calvo-Ortega, Gemma Warner, Andrew Cousins, Michael Barnes, Peter Greer

Faculty, Staff and Students Publications

Background and purpose: For single-isocentre multi-target (SIMT) stereotactic radiosurgery (SRS), benchmarking, auditing and inter-institutional standardisation of dose verification remain challenging as they require specialized equipment and expertise. This work aims to develop and validate an electronic portal imaging device (EPID)-based technique to determine 3D dose in a virtual spherical phantom which is applicable across institutions for SIMT SRS dose verification.

Materials and methods: Small-field output factors from 11 international centres were measured in-water for the TrueBeam linear accelerator, including jaw-defined and high-definition multi-leaf collimator (MLC) fields from 0.5 × 0.5 to 20 × 20 cm2 and depths from 1.5-20 cm. …

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.

Mapping Burdens And Inequalities Of Polycystic Ovary Syndrome In Young Females Across 953 Locations 1990–2040 With Deep Learning Forecasts, Yaling Wu, Wenxiang Cai, Mao Chen, Susu Luo, Robert J Norman, Mahnaz Bahri Khomami, Lisa Moran, Heping Zhang, Suhaniya N S Samarasinghe, Salman Rawaf, Davd A Ehrmann, Liming Pan, Kexin Ding, Shuxian Ma, Lili Zheng, Xian Shao, You Zuo, Baozhen Huang, Fei Li, Mingyang Xue, Tongrui Shang, Guangyao Cai, Yuanyuan Chen, Ying Wang, Yutong Lu, Dong Wang, Yuanyuan Wan, Ningning Wu, Ciqing Lin, Wei Pan, Rui Zhang, Tingting Yao, Yiming Xiong, Kai Chen, Jianli Zhao, Shunrong Li, Liling Zhu, Luyuan Tan, Yinduo Zeng, You Zeng, Lukasz Szarpak, Nadia M Hamdy, Claire Chenwen Zhong, Fa Yuan, Yihang Chu, Xiao Jia, Peng Wu, Linjiang Wei, Yanfang Ye, João Conde, Zimeng Wu, Jinjin Zhang, Yamei Tang, Pengpeng Ye, Dongzi Yang, Shixuan Wang, Azeem Majeed, Helena Teede, Wenyi Jin, Queran Lin

Faculty, Staff and Students Publications

Polycystic ovary syndrome (PCOS) is the most common reproductive endocrine disorder impacting the health of young female populations. Using harmonized estimates from 953 locations, we assessed temporal trends, geographic inequalities, and forecasts of PCOS among individuals aged 10-24 years from 1990 to 2040. Between 1990 and 2021, global prevalence and disability burden increased by more than 30%, with the highest burden observed among those aged 20-24 years. Substantial geographic heterogeneity was identified, with particularly high prevalence in Europe and East Asia. While high-income regions carried the greatest absolute burden, low- and middle-income regions showed the fastest growth, accompanied by widening …

A Tv-Bm3d Iterative Algorithm For Vmat-Ct Reconstruction, Chia-Lung Chien, Beibei Guo, Rui Zhang

Faculty, Staff and Students Publications

Volumetric modulated arc therapy-computed tomography (VMAT-CT), which is the CT reconstructed using the portal images collected during VMAT, can potentially be an effective onsite imaging tool. The goal of this study was to propose an iterative reconstruction algorithm that can further improve the image quality of VMAT-CT and reduce the number of failed reconstructions. An iterative algorithm combining total variation (TV) with block-matching and 3D filtering (BM3D) was proposed, addressing the L1-L2 regularization problem using the split Bregman method. We collected portal images from 67 VMAT cases including 50 phantom and 17 real-patient cases. Both Feldkamp-Davis-Kress (FDK) and TV-BM3D iterative …

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 …

Gut Microbiota Modulation Via Repeated Donor Fecal Transplantation Improves Motor And Gastrointestinal Symptoms In Drug-Naïve Parkinson’S Disease: A Randomized Phase 2 Trial, Rui Zhang, Renyi Feng, Jiuqi Wang, Yongkang Chen, Han Liu, Qingyong Zhu, Haiyan Tian, Chi Qin, Junfang Teng, Beisha Tang, Min Wu, Jinsheng Zeng, Erxi Wu, Xuebing Ding, Xuejing Wang

Faculty, Staff and Students Publications

The gut-brain axis is increasingly recognized as a critical contributor to Parkinson's disease (PD) pathogenesis, yet the therapeutic impact of microbiota modulation remains unclear due to lack of clinical trials in drug-naïve patients. We conducted a randomized, double-blind, placebo-controlled phase 2 trial to evaluate the safety, tolerability, and efficacy of repeated donor fecal microbiota transplantation (dFMT) in de novo PD. FMT was administered for seven days (200 mL on days 1-3; 50 mL on days 4-7) per 4-week cycle. Seventy-two patients were randomized 1:1 to receive dFMT or autologous FMT (aFMT), and 66 completed the trial. At 35 weeks, the …

Simulation-Free Spine Palliative Radiotherapy Enabled By Ai-Adapted Diagnostic Ct, Yiding Han, Alexander Nicola Hanania, Zaid Ali Siddiqui, Vincent Ugarte, Boran Zhou, Abdallah S R Mohamed, Piyush Pathak, Daniel Allen Hamstra, Baozhou Sun

Faculty, Staff and Students Publications

Background: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is particularly impactful in spinal palliative care, where timely treatment is often important for symptom control and prevention of neurological deterioration. Although diagnostic CT (dCT) is frequently available earlier in the workflow, it can lead to geometric and dosimetric inaccuracies when used directly for treatment planning due to discrepancies in patient positioning, vertebral alignment, and table curvature.

Purpose: To develop and evaluate an AI-based method that transforms dCT into a simulation-equivalent planning CT (AI-pCT), enabling a clinically feasible simulation-free workflow for spinal …

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 …

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 …

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 …

Improving Prostate Cancer Patients’ Experience And Understanding With A Pre-Ct Simulation Checklist In Genitourinary Radiation Oncology, Christopher Le

Doctor of Nursing Practice Final Project Abstract

Improving Prostate Cancer Patients’ Experience and Understanding With a Pre-CT Simulation Checklist in Genitourinary Radiation Oncology

Purpose

The purpose of this quality improvement (QI) project was to implement a Pre-CT Simulation checklist for Prostate cancer patients in the outpatient Radiation Oncology Genitourinary clinic to improve patients’ experience and comprehension on their Simulation Day.

Background

The CT simulation is a critical step in treatment planning. Lack of clear, concise, consistent instruction and education preparation prior to simulation day can delay planning and treatment. Currently, there is no standardized checklist to ensure patients are educated and prepared for their CT simulation day. …