Radiation Medicine Commons^™

Federated Learning Enables Big Data For Rare Cancer Boundary Detection, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S Alexander, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig K. Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin C. Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B. Martins, Bernardo C. A. Teixeira, Flávia Sprenger, David Menotti, Diego R. Lucio, Pamela Lamontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W. Lui, Richard Mckinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E. Sloan, Vachan Vadmal, Kristin Waite, Rivka R. Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J. Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V. M. Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M. Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R. Van Der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. Van Den Bent, Pim J. French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P. Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar Mistry, Reid C. Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C. Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G. H. Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M. Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F. Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M. Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu'aibu, Adeleye Dorcas, Farouk Dako, Amber L. Simpson, Mohammad Hamghalam, Jacob J. Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y. Moraes, Michael A. Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S. Barnholtz-Sloan, Jason Martin, Spyridon Bakas

Department of Radiation Oncology Faculty Papers

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically …

Quantifying The Magnitude Of To Tal Dose Deviation Caused By Various Sources Of Error Among Iroc Phantom Irradiation Results, Sharbacha S. Edward

Dissertations and Theses (Open Access)

The Imaging and Radiation Oncology Core (IROC) phantoms are used as an end-to-end test of an institution’s radiotherapy processes, and for clinical trial credentialing. Phantoms are treated like patients, and evaluation of the doses received by the thermoluminescent dosimeters (TLDs) inside the phantom, reflects the accuracy with which an institution can image, plan and irradiate a phantom or patient. Recent phantom results show that among the hundreds of various IROC phantoms irradiated annually, 8-17% of institutions fail this test. The purpose of this work was to investigate the various types of errors that may occur during the treatment process and …

Quantitative Apparent Diffusion Coefficients From Peritumoral Regions As Early Predictors Of Response To Neoadjuvant Systemic Therapy In Triple-Negative Breast Cancer, Benjamin C Musall, Beatriz E Adrada, Rosalind P Candelaria, Rania M M Mohamed, Abeer H Abdelhafez, Jong Bum Son, Jia Sun, Lumarie Santiago, Gary J Whitman, Tanya W Moseley, Marion E Scoggins, Hagar S Mahmoud, Jason B White, Ken-Pin Hwang, Nabil A Elshafeey, Medine Boge, Shu Zhang, Jennifer K Litton, Vicente Valero, Debu Tripathy, Alastair M Thompson, Clinton Yam, Peng Wei, Stacy L Moulder, Mark D Pagel, Wei T Yang, Jingfei Ma, Gaiane M Rauch

Faculty, Staff and Student Publications

BACKGROUND: Pathologic complete response (pCR) to neoadjuvant systemic therapy (NAST) in triple-negative breast cancer (TNBC) is a strong predictor of patient survival. Edema in the peritumoral region (PTR) has been reported to be a negative prognostic factor in TNBC.

PURPOSE: To determine whether quantitative apparent diffusion coefficient (ADC) features from PTRs on reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) predict the response to NAST in TNBC.

STUDY TYPE: Prospective.

POPULATION/SUBJECTS: A total of 108 patients with biopsy-proven TNBC who underwent NAST and definitive surgery during 2015-2020.

FIELD STRENGTH/SEQUENCE: A 3.0 T/rFOV single-shot diffusion-weighted echo-planar imaging sequence (DWI).

ASSESSMENT: Three scans were …

High Local Control And Low Ocular Toxicity Using Ultra-Low-Dose “Boom-Boom” Radiotherapy For Indolent Orbital Lymphoma, Sanjna Shelukar, Christian Fernandez, Zeynep Bas, Lydia Komarnicky, Sara E. Lally, Carol L Shields, Adam Binder, Pierluigi Porcu, Onder Alpdogan, Ubaldo Martinez-Outschoorn, Wenyin Shi

Department of Medical Oncology Faculty Papers

Background: The first line definitive treatment for early-stage indolent B-cell lymphoma is radiation therapy (RT). Due to the sensitivity of orbital structures to radiation, ultra-low-dose RT (4 Gy in 2 fractions, "boom-boom") has and been utilized as an attractive option for orbital lymphoma. In this retrospective study, we evaluated the outcome and toxicity of "boom-boom" RT for indolent orbital lymphoma with an emphasis on ophthalmologic toxicity.

Methods: This is a retrospective case series with 17 patients with orbital lymphoma who received boom-boom RT at a single tertiary referral center between January 2017 and June 2022. Medical records, imaging and radiation …

Spinal Metastases And The Evolving Role Of Molecular Targeted Therapy, Chemotherapy, And Immunotherapy, Elena I Fomchenko, James C Bayley, Christopher Alvarez-Breckenridge, Laurence D Rhines, Claudio E Tatsui

Faculty, Staff and Student Publications

Metastatic involvement of the spine is a common complication of systemic cancer progression. Surgery and external beam radiotherapy are palliative treatment modalities aiming to preserve neurological function, control pain and maintain functional status. More recently, with development of image guidance and stereotactic delivery of high doses of conformal radiation, local tumor control has improved; however recurrent or radiation refractory disease remains a significant clinical problem with limited treatment options. This manuscript represents a narrative overview of novel targeted molecular therapies, chemotherapies, and immunotherapy treatments for patients with breast, lung, melanoma, renal cell, prostate, and thyroid cancers, which resulted in improved …

Characterizing Pulmonary Function Test Changes For Patients With Lung Cancer Treated On A 2-Institution, 4-Dimensional Computed Tomography-Ventilation Functional Avoidance Prospective Clinical Trial, Ryan C. Miller, Richard Castillo, Edward Castillo, Bernard L Jones, Moyed Miften, Brian Kavanagh, Bo Lu, Maria Werner-Wasik, Nader Ghassemi, Joseph Lombardo, Julie Barta, Inga Grills, Chad G Rusthoven, Thomas Guerrero, Yevgeniy Vinogradskiy

Department of Radiation Oncology Faculty Papers

Purpose: Four-dimensional computed tomography (4DCT)-ventilation-based functional avoidance uses 4DCT images to generate plans that avoid functional regions of the lung with the goal of reducing pulmonary toxic effects. A phase 2, multicenter, prospective study was completed to evaluate 4DCT-ventilation functional avoidance radiation therapy. The purpose of this study was to report the results for pretreatment to posttreatment pulmonary function test (PFT) changes for patients treated with functional avoidance radiation therapy.

Methods and materials: Patients with locally advanced lung cancer receiving chemoradiation were accrued. Functional avoidance plans based on 4DCT-ventilation images were generated. PFTs were obtained at baseline and 3 months …

Expansion Of The Detrusor Muscular Ring Surrounding The Bladder Neck On Mri: Moving Beyond The Prostate As An Etiology Of Lower Urinary Tract Symptoms Due To Benign Prostatic Hyperplasia, Kiran Nandalur, David Walker, Hong Ye, Sayf A. Al-Katib, Brian Seifman, David Gangwish, Abhay Dhaliwal, Connor Ervin, Kayla Dobies, Channing Sesoko, Sirisha Nandalur, Bernadette Zwaans, Jennifer Nguyen, Jason Hafron

Conference Presentation Abstracts

Purpose: The etiology of lower urinary tract symptoms secondary to benign prostatic hyperplasia (LUTS/BPH) remains uncertain. The purpose of our study was to quantitatively analyze pelvic anatomic characteristics on magnetic resonance imaging (MRI) to assess for independent factors for symptoms.
*Methods and Materials: This retrospective single-institution study evaluated treatment-naïve men who underwent prostate MRI within 3 months of International Prostate Symptom Score (IPSS) from June 2021 to February 2022. Factors measured on MRI included: detrusor muscular ring surrounding the bladder neck measured as area and alternatively diameter, central gland (CG) mean apparent diffusion coefficient (ADC), levator hiatus (LH) volume, intrapelvic …

Multi-Organ Segmentation Of Abdominal Structures From Non-Contrast And Contrast Enhanced Ct Images, Cenji Yu, Chidinma P Anakwenze, Yao Zhao, Rachael M Martin, Ethan B Ludmir, Joshua S Niedzielski, Asad Qureshi, Prajnan Das, Emma B Holliday, Ann C Raldow, Callistus M Nguyen, Raymond P Mumme, Tucker J Netherton, Dong Joo Rhee, Skylar S Gay, Jinzhong Yang, Laurence E Court, Carlos E Cardenas

Faculty, Staff and Student Publications

Manually delineating upper abdominal organs at risk (OARs) is a time-consuming task. To develop a deep-learning-based tool for accurate and robust auto-segmentation of these OARs, forty pancreatic cancer patients with contrast-enhanced breath-hold computed tomographic (CT) images were selected. We trained a three-dimensional (3D) U-Net ensemble that automatically segments all organ contours concurrently with the self-configuring nnU-Net framework. Our tool's performance was assessed on a held-out test set of 30 patients quantitatively. Five radiation oncologists from three different institutions assessed the performance of the tool using a 5-point Likert scale on an additional 75 randomly selected test patients. The mean (± …

Comparison Of Pulmonary Function Changes Between Patients Receiving Neoadjuvant Chemotherapy And Chemoradiotherapy Prior To Minimally Invasive Esophagectomy: A Randomized And Controlled Trial, Xiaosang Chen, Mingjun Du, Han Tang, Hao Wang, Yong Fang, Miao Lin, Jun Yin, Lijie Tan, Yaxing Shen

Faculty, Staff and Student Publications

PURPOSE: Adequate pulmonary function is important for patients undergoing surgical resection of esophageal cancer, especially those that received neoadjuvant therapy. However, it is unknown if pre-operative radiation affects pulmonary function differently compared to chemotherapy. The purpose of this study was to compare changes in pulmonary function between patients undergoing minimally invasive esophagectomy (MIE) who received neoadjuvant chemotherapy or chemoradiotherapy.

METHODS: Between March 2017 and March 2018, esophageal cancer patients requiring neoadjuvant therapy were prospectively enrolled and randomly assigned to receive chemotherapy (CT) or chemoradiotherapy (CRT) before MIE. All patients received pulmonary function testing before and after the neoadjuvant therapy. Changes …

Tumor Treating Fields With Radiation For Glioblastoma: A Narrative Review, Ryan C. Miller, Muneeb Khan Niazi, Olga Russial, Spencer Poiset, Wenyin Shi

Department of Radiation Oncology Faculty Papers

Background and objective: With a phase 3 clinical trial (EF-32, ClinicalTrials.gov: NCT04471844) currently underway examining the potential benefit of concurrent chemoradiation and tumor treating fields (TTFields) for patients with glioblastoma (GBM), we present the following narrative review to highlight the current evidence that supports this approach. The current management paradigm for GBM includes maximal safe surgical resection followed by concurrent chemoradiation with further temozolomide (TMZ) and TTFields used as maintenance therapy. Despite several treatment advances over the past few decades, the overall prognosis remains poor and new strategies are currently under investigation, including the use of chemoradiation concurrently with …

Artificial Intelligence For Radiation Oncology Applications Using Public Datasets, Kareem A Wahid, Enrico Glerean, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Mohamed A Naser, Renjie He, Abdallah S R Mohamed, Clifton D Fuller

Faculty, Staff and Student Publications

Artificial intelligence (AI) has exceptional potential to positively impact the field of radiation oncology. However, large curated datasets - often involving imaging data and corresponding annotations - are required to develop radiation oncology AI models. Importantly, the recent establishment of Findable, Accessible, Interoperable, Reusable (FAIR) principles for scientific data management have enabled an increasing number of radiation oncology related datasets to be disseminated through data repositories, thereby acting as a rich source of data for AI model building. This manuscript reviews the current and future state of radiation oncology data dissemination, with a particular emphasis on published imaging datasets, AI …

Diffusing Alpha-Emitters Radiation Therapy In Combination With Temozolomide Or Bevacizumab In Human Glioblastoma Multiforme Xenografts, Yossi Nishri, Maayan Vatarescu, Ishai Luz, Lior Epstein, Mirta Dumančić, Sara Del Mare, Amit Shai, Michael Schmidt, Lisa Deutsch, Robert Den, Itzhak Kelson, Yona Keisari, Lior Arazi, Tomer Cooks, Vered Domankevich

Department of Radiation Oncology Faculty Papers

Glioblastoma multiforme (GBM) is at present an incurable disease with a 5-year survival rate of 5.5%, despite improvements in treatment modalities such as surgery, radiation therapy, chemotherapy [e.g., temozolomide (TMZ)], and targeted therapy [e.g., the antiangiogenic agent bevacizumab (BEV)]. Diffusing alpha-emitters radiation therapy (DaRT) is a new modality that employs radium-224-loaded seeds that disperse alpha-emitting atoms inside the tumor. This treatment was shown to be effective in mice bearing human-derived GBM tumors. Here, the effect of DaRT in combination with standard-of-care therapies such as TMZ or BEV was investigated. In a viability assay, the combination of alpha radiation with TMZ …

Distinguishing Intrathyroid Parathyroid Adenoma From Colloid Nodules And Papillary Thyroid Carcinomas Using Multiphasic Multidetector Computed Tomography, J Matthew Debnam, T Linda Chi, Michael Kwon, Jia Sun, Dawid Schellingerhout, Brandon T Golant, Salmaan Ahmed, Nancy D Perrier, Thinh Vu

Faculty, Staff and Student Publications

OBJECTIVE: The aim of the study is to determine whether multiphase multidetector computed tomography (4D-MDCT) can differentiate between intrathyroid parathyroid adenomas (ITPAs), colloid nodules, and papillary thyroid carcinoma (PTC).

METHODS: We studied 22 ITPAs, 22 colloid nodules, and 11 PTCs in 55 patients. Hounsfield unit (HU) values of the nodules were measured on 4D-MDCT in the precontrast, arterial, venous, and delayed phases. Raw HU values, phase with peak enhancement, and washout percentages between the phases were evaluated.

RESULTS: Regardless of size, all ITPAs (22/22) showed peak enhancement in the arterial phase, which was significantly greater than both colloid nodules (15/22) …

Development Of Advanced Mr-Guided Adaptive Radiation Therapy Methods For Head & Neck Cancers On The 1.5t Mr-Linac, Brigid Mcdonald

Dissertations and Theses (Open Access)

The 1.5T hybrid MRI/linear accelerator (MR-linac) has recently been introduced into clinical practice and used for the treatment of head and neck cancers (HNC). This device enables on-line adaptive radiation therapy (ART) based on anatomical changes throughout treatment and variations in patient position. This novel technology also has the potential for advanced ART strategies such as dose-optimized ART, in which the treatment plan is optimized based on the accumulated dose over previous fractions, or biological image-guided ART, in which the plan is adapted based on individual tumor response as measured through quantitative imaging techniques such as diffusion-weighted imaging (DWI). The …

Tumor Vasculature Changes Before Or During Treatment To Predict Response To Systemic Therapy, Avinash Ramkissoon, Faria Ali, Thomas Vander Woude, Stephen Brown, James Ewing, Lisa Rogers

Medical Student Research Symposium

A diagnosis of non-small cell lung cancer (NSCLC) carries a grim prognosis, with 5-year survival rates of 25%. 25-30% of NSCLC patients have brain metastases at initial presentation, which carries an even worse prognosis. New systemic therapies such as targeted-therapies and immuno-therapies have potential to provide better outcomes, but are not without challenges. First, efficacy is limited to a subset of patients. Second, the blood-brain barrier limits penetration, which varies among patients. Third, toxicities can be considerable. Current practice involves waiting 3-6 months to follow-up and assess tumor response; however, by then, it is later than ideal to try other …

Variation In Molecularly Defined Prostate Tumor Subtypes By Self-Identified Race, Kevin H. Kensler, H. Lee Moffitt Cancer Center And Research Institute, Mohamed Alshalalfa, Bruce J. Trock, Stephen J. Freedland, Michael R. Freeman, Sungyong You, Brandon A. Mahal, Robert Den, Adam Dicker, R. Jeffrey Karnes, Eric A. Klein, Priti Lal, Yang Liu, Elai Davicioni, Walter Rayford, Kosj Yamoah, Timothy R. Rebbeck

Department of Radiation Oncology Faculty Papers

Background: Socioeconomic and health care utilization factors are major drivers of prostate cancer (PC) mortality disparities in the USA; however, tumor molecular heterogeneity may also contribute to the higher mortality among Black men. Objective: To compare differences in PC subtype frequency and genomic aggressiveness by self-identified race. Design, setting, and participants: Five molecular subtype classifiers were applied for 426 Black and 762 White PC patients in the Decipher Genomics Resource Information Database (GRID). Outcome measurements and statistical analysis: Differences in subtype frequency and tumor genomic risk (Decipher score >0.6) by race were evaluated using χ2 tests and multivariable-adjusted logistic regression …

Financial Toxicity Tumor Board: A Multi-Disciplinary Team Activity Required In Low And Middle-Income Countries (Lmic), Ahmed Nadeem Abbasi, Sohail Rasool, Laraib Khan

Department of Radiation Oncology

No abstract provided.

Fluoroscopic Demonstration Of Thoracic Tumor Immobilization With High Frequency Percussive Ventilation, Cristian Solano, Ina M. Sala, Beverly Maurer, Ronald Levitin, Thomas M. Guerrero

Posters

INTRODUCTION
High frequency percussive ventilation (HFPV) is a novel immobilization technique that utilizes high frequency low tidal volume ventilation to produce endotracheal percussion. In a previous departmental study of chest wall motion immobilization, it was found that volunteers were able to tolerate HFPV for varying lengths of time – from a few to tens of minutes. By investigating a novel process to immobilize the chest wall, and thus thoracic tumors, it can allow for more localized radiation delivery and reduction of healthy tissue irradiation.

Development Of A Deep Neural Network For Synthesis Of Non-Contrast Cranial T1-Weighted Magnetic Resonance Imaging, Agueda M. Taylor, Evan Porter, Thomas Guerrero

Posters

INTRODUCTION
Although 122 out of 1000 people in the US have MRI’s done each year, there are over 4 million with contraindications that subsequently forgo the diagnostic benefits. Studies in recent years have implemented artificial intelligence (AI) algorithms such as deep neural networks (DNN) for production of synthetic medical imaging. The goals of this project are to develop a DNN, specifically a Generative Adversarial Network (GAN) that will predict synthetic Cranial T1 Weighted MRI from non-contrast CT, and to evaluate the model quality.

Functional Lung Segmentation From Computed Tomography Images Using Deep Learning, Duyen M. Quach, Evan Porter, Thomas M. Guerrero

Posters

INTRODUCTION
Functional avoidance treatment planning allows radiation oncologists to intentionally minimize radiation dose to higher-functioning lung areas while favoring radiation dose towards lower-functioning regions. This treatment planning method has been shown to reduce pulmonary toxicity for patients receiving radiation therapy. Functional lung information, traditionally ventilation or perfusion SPECT scans, is required to plan for functional avoidance.

Evaluating The Impact Of Software Distortion Correction On Target Doses In Cranial Stereotactic Radiosurgery, Sharjil Shamim, Zachary Seymour

Posters

INTRODUCTION
Brainlab’s Elements suite proposed a novel MR distortion correction method based on CT imaging. This involves registration of sub-volumes from MR imaging to generate single continuous deformation field maps, creating a corrected MR image set. No literature currently exists studying the impact of software correction on target dose for cranial stereotactic radiosurgery. In this study, we aim to evaluate the impact of Brainlab distortion correction on radiation target dose compared to original treatment plans without distortion correction.

The Prognostic Significance Of Glucose-6-Phosphate Dehydrogenase As A Biomarker In Head And Neck Squamous Cell Carcinomas Treated With Conventional Chemoradiation, Kenneth H. Barker, Barbara L. Pruetz, Jessica D. Arden, Thomas J. Quinn, George D. Wilson

Posters

INTRODUCTION
The prognosis of patients with head and neck squamous cell carcinoma (HNSCC) treated with chemoradiation can be predicted using p16 as a surrogate biomarker of Human Papilloma Virus (HPV) status, but a subset of patients continues to do poorly despite a positive or negative p16 status. This project attempted to identify another biomarker, glucose-6-phosphate dehydrogenase (G6PD) as a marker for prognosis in HNSCC patients. Radiation induces oxidative damage to destroy tumor cells, and G6PD is a key enzyme involved in protecting cells from oxidative damage. The goal of this project was to identify a prognostic biomarker that would aid …

Atr-Mediated Cd47 And Pd-L1 Upregulation Restricts Radiotherapy-Induced Immune Priming And Abscopal Responses In Colorectal Cancer, Cheng-En Hsieh, Cheng-En Hsieh

Dissertations and Theses (Open Access)

Radiotherapy of colorectal cancer (CRC) can prime adaptive immunity against tumor-associated antigen (TAA)-expressing CRC cells systemically. However, incidences of abscopal tumor remission are extremely rare, and the post-irradiation immune escape mechanisms in CRC remain elusive. We report that CRC cells utilize a common DNA repair signaling pathway — ATR/Chk1/STAT3 — to upregulate both CD47 and PD-L1 in response to radiotherapy, which through engagement of SIRPα and PD-1 suppresses the capacity of antigen-presenting cells to phagocytose them thereby preventing TAA cross-presentation and innate immune activation. This post-irradiation CD47 and PD-L1 upregulation can be observed across various human solid tumor cells. Concordantly, …

Integration Of Biomedical Imaging And Translational Approaches For Management Of Head And Neck Cancer, Abdallah Mohamed, Abdallah Mohamed

Dissertations and Theses (Open Access)

The aim of the clinical component of this work was to determine whether the currently available clinical imaging tools can be integrated with radiotherapy (RT) platforms for monitoring and adaptation of radiation dose, prediction of tumor response and disease outcomes, and characterization of patterns of failure and normal tissue toxicity in head and neck cancer (HNC) patients with potentially curable tumors. In Aim 1, we showed that the currently available clinical imaging modalities can be successfully used to adapt RT dose based-on dynamic tumor response, predict oncologic disease outcomes, characterize RT-induced toxicity, and identify the patterns of disease failure. We …

Lymphocyte Depletion Rate As A Biomarker Of Radiation Dose To Circulating Lymphocytes During Fractionated Partial-Body Radiation Therapy, Susannah G Ellsworth, Anirudh Yalamanchali, Tim Lautenschlaeger, Stuart A Grossman, Clemens Grassberger, Steven H Lin, Radhe Mohan

Faculty, Staff and Student Publications

Purpose: Radiation causes exponential depletion of circulating lymphocyte populations; in turn, radiation-induced lymphopenia is associated with worse survival for many solid tumors, possibly owing to attenuated antitumor immune responses. Identifying reliable and reproducible methods of calculating the radiation dose to circulating immune cells may facilitate development of techniques to reduce the risk and severity of radiation-induced toxic effects to circulating lymphocytes.

Methods and materials: Patient-specific lymphocyte loss rates were derived from a clinical data set including 684 adult patients with solid tumors. Multivariable linear regression was used to model the relationship between the lymphocyte loss rate and physical parameters of …

Contralateral Control Rate With Unilateral Proton Beam Radiotherapy For Oropharyngeal Scc: A Multi-Institutional Prospective Study From The Proton Collaborative Group, Aleksander Vayntraub, Thomas Quinn, John Chang, Noah Kalman, Sanford Katz, James Urbanic, Arpi Thukral, Jason Molitoris, Craig Stevens, Rohan Deraniyagala

Conference Presentation Abstracts

Introduction: Select patients with oropharyngeal SCC are candidates for unilateral radiation therapy. We sought to investigate if ipsilateral targeting leads to increased contralateral recurrences. Methods: We queried the PCG database for patients treated with unilateral proton RT for head and neck SCC from 2015 – 2020 at 12 institutions. DICOMs were evaluated to ensure dose delivered matched a unilateral proton treatment plan. Demographic, clinical and pathological, toxicity and dosimetry information were compiled. Results: We found 43 cases treated with unilateral proton RT. 94% (n¼16) of recurrent cases received prior radiation. Oropharyngeal sites included tonsillar fossa (n¼32), and base of tongue …

A Quantitative Dose Pertubation Comparison Study Between Gold And Platinum Visicoil Fiducial Markers In Proton Beam Therapy, Xuanfeng Ding, Gang Liu, Weili Zheng, Jessica Vadas, Xiaoqiang Li, Lewei Zhao, An Qin, Daniel Krauss, Di Yan

Conference Presentation Abstracts

Purpose: To quantitatively investigate the dose perturbations difference between gold and platinum VISICOILTM fiducial markers in proton beam therapy Method: Gold and platinum VISICOILTM fiducial markers with two different dimensions were tested, including 0.35 & 0.5mm in diameter and 5mm in length. Total four kinds of markers. Gafchromic EBT2 was used to measure dose perturbations along the beam path in a ‘‘sandwich’’ setup (Figure 1). Dose perturbation was reported in each depth (0.3mm, 1.65mm, 3.00mm, 5.40mm, 7.80mm, 10.20mm, 12.60mm, 18.15mm). Relative proton stopping power relative to water were calculated through National Institute of Standards and Technology database and SRIM (version …

Assessing The Interplay Effect Based On A Precise Machine-Specific Delivery Sequence And Time For Cyclotron Accelerator Proton Therapy System., Lewei Zhao, Gang Liu, Jiajian Sher, Andrew Lee, Di Yan, Rohan Deraniyagala, Craig Stevens, Xiaoqiang Li, Shikui Tang, Xuanfeng Ding

Conference Presentation Abstracts

Purpose: We proposed an experimental approach to build a precise machine-specific model for standard, volumetric, and layer repainting delivery based on a cyclotron accelerator system. Then, we assessed the interplay effect using a 4D mobile lung target phantom compared to a generic delivery sequence model from West German Proton Therapy Essen (WPE). Methods: The machine delivery log files, from an IBA ProteusPLUSt system, were retrospectively analyzed to quantitatively model energy layer switching time, spot switching time, and spot drill time for standard and volumetric repainting delivery. To quantitatively evaluate the interplay effect, a series of digital thoracic 4DCT image sets …

A Direct Machine-Specific Parameters Incorporated Spot-Scanning Proton Arc (Sparc) Algorithm, Gang Liu, Lewei Zhao, Di Yan, Xiaoqiang Li, Xuanfeng Ding

Conference Presentation Abstracts

Purpose: To address the challenges of generating a deliverable and efficient spot-scanning proton arc (SPArc) plan for a proton therapy system. We developed a novel SPArc optimization algorithm (SPArcDMSP) by directly incorporating machinespecific parameters such as mechanical constraints and delivery sequence. Method and Material: A SPArc delivery sequence model (DSMarc) was built based on the machine-specific parameters of the prototype arc delivery system IBA ProteusONEt. The SPArcDMSP resamples and adjusts each control point’s delivery speed based on the DSMarc calculation through the iterative approach (Fig1). Users could set the expected delivery time and gantry max acceleration as a mechanical constraint …

The First Modeling Of The Spot-Scanning Proton Arc(Sparc) Delivery Sequence And Investigating Its Efficiency Improvement, Xuanfeng Ding, Gang Liu, Lewei Zhao, Rohan Deraniyagala, Craig Stevens, Di Yan, Xiaoqiang Li

Conference Presentation Abstracts

Purpose: Introduce an experimental approach to model a precise prototype arc system and quantitatively assess its efficiency improvement in the routine proton clinical operation. Methods: The SPArc delivery sequence model(DSMSPArc) includes two kinds of parameters:(1) mechanical parameters. (2) irradiation parameters. Log files and an independent gantry inclinometer were used to derive the irradiation parameters through a series of test plans. The in-house DSMSPArc was established by fitting both mechanical and irradiation parameters. Eight SPArc plans from different disease sites were used to validate the model’s accuracy. To assess the treatment efficiency improvement, the DSMSPArc was used to simulate the SPArc …